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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2026.1767594</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Nutrient assessment of sea buckthorn residues as potential feed ingredients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Malenica</surname>
<given-names>Dunja</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bhat</surname>
<given-names>Rajeev</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Kass</surname>
<given-names>Marko</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Leming</surname>
<given-names>Ragnar</given-names>
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<contrib contrib-type="author">
<name>
<surname>Maciel</surname>
<given-names>Larissa Silva</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Herodes</surname>
<given-names>Koit</given-names>
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<contrib contrib-type="author">
<name>
<surname>Ots</surname>
<given-names>Meelis</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label>1</label><institution>Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences</institution>, <city>Tartu</city>, <country country="ee">Estonia</country></aff>
<aff id="aff2"><label>2</label><institution>Centre of Estonian Rural Research and Knowledge</institution>, <city>J&#x00F5;geva</city>, <country country="ee">Estonia</country></aff>
<aff id="aff3"><label>3</label><institution>Institute of Chemistry, University of Tartu</institution>, <city>Tartu</city>, <country country="ee">Estonia</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Dunja Malenica, <email xlink:href="mailto:dunja.malenica@student.emu.ee">dunja.malenica@student.emu.ee</email>; Rajeev Bhat, <email xlink:href="mailto:rajeev.bhat@emu.ee">rajeev.bhat@emu.ee</email></corresp>
<fn fn-type="other" id="fn0001">
<label>&#x2020;</label>
<p>ORCID: Dunja Malenica, <uri xlink:href="https://orcid.org/0000-0002-2229-2492">orcid.org/0000-0002-2229-2492</uri>; Rajeev Bhat, <uri xlink:href="https://orcid.org/0000-0003-3391-6624">orcid.org/0000-0003-3391-6624</uri>; Marko Kass, <uri xlink:href="https://orcid.org/0000-0001-5333-2461">orcid.org/0000-0001-5333-2461</uri>; Ragnar Leming, <uri xlink:href="https://orcid.org/0000-0002-3974-5443">orcid.org/0000-0002-3974-5443</uri>; Larissa Silva Maciel, <uri xlink:href="https://orcid.org/0000-0002-7609-1610">orcid.org/0000-0002-7609-1610</uri>; Koit Herodes, <uri xlink:href="https://orcid.org/0000-0003-1763-1784">orcid.org/0000-0003-1763-1784</uri>; Meelis Ots, <uri xlink:href="https://orcid.org/0000-0002-0567-7999">orcid.org/0000-0002-0567-7999</uri></p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27">
<day>27</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1767594</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>28</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Malenica, Bhat, Kass, Leming, Maciel, Herodes and Ots.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Malenica, Bhat, Kass, Leming, Maciel, Herodes and Ots</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>This study aimed to evaluate the suitability of sea buckthorn by-products, including pomace without seeds (SBPW), pomace with seeds (SBPS), and leaves (SBL) as potential livestock feed ingredients. Proximate composition, amino acids, fatty acids, minerals, vitamins, and metabolizable energy (ME) were assessed and compared to the daily requirements of livestock, assuming an inclusion rate of 2.5% of dry matter intake in different animal species. SBPW exhibited the highest metabolizable energy (13.7&#x2013;17&#x202F;MJ/kg DM across species), exceeding 2.5% of daily requirements in most animal species, suggesting it is a good energy source, whereas SBL contributed the least (8.1&#x2013;13.6&#x202F;MJ/kg DM across species). SBL was mineral rich, with notably elevated Fe, Ca, Mg, and Mn concentrations, supporting its use as a mineral supplement, whereas both pomaces contained low mineral levels. SBL and especially SBPS revealed promising amino acid profiles, showing potential as protein source, meeting 2.5% daily amino acid requirements across most categories, especially gilts and pregnant sows. SBPS contained high levels of arginine (31.4&#x202F;g/kg DM) and lysine (11.3&#x202F;g/kg DM), while SBL also supplied substantial amounts of essential amino acids (e.g., lysine 10.2&#x202F;g/kg DM). Sulfur-containing amino acids were limiting in all residues, with methionine especially low (e.g., SBPW 0.9&#x202F;g/kg DM). SBPW provided insufficient essential amino acids for most categories, suggesting it would have to be combined with protein feeds to achieve a balanced ration. SBPS was rich in polyunsaturated (notably alpha-linolenic: 1.39&#x202F;g/kg DM) fatty acids, while SBPW contained more monounsaturated and SBL more saturated fats. Both pomaces provided similar linoleic acid (&#x2248;2.5&#x202F;g/kg DM), exceeding pig but not poultry requirements at 2.5% dry matter intake. All residues were rich in vitamin E, particularly SBPW (720&#x202F;mg/kg DM), and pomaces contained substantial &#x03B2;-carotene (SBPW 258&#x202F;mg/kg DM, SBPS 151&#x202F;mg/kg DM), with potential benefits for gestating animals and those experiencing high oxidative stress. Overall, this study provides an initial assessment of sea buckthorn residues as alternative feed resources and offers guidance for their strategic inclusion in animal diets supporting more sustainable, circular feeding systems.</p>
</abstract>
<kwd-group>
<kwd>agro-industrial by-products</kwd>
<kwd>animal nutrition requirements</kwd>
<kwd>circle feed</kwd>
<kwd>feed ingredient evaluation</kwd>
<kwd>metabolizable energy prediction</kwd>
<kwd>waste management</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research work was funded by the ERA-Chair in Valortech (EU Commission Grant Number: 810630), and by the project Functional Nutraceuticals (Estonian University of Life Sciences, Senate decision of 18 December 2025, No. 1-27/29). This study was co-funded by the European Union and Estonian Research Council via project TEM-TA60.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="12"/>
<ref-count count="121"/>
<page-count count="20"/>
<word-count count="16275"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Animal Nutrition and Metabolism</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Feed industries have faced a number of challenges in recent years: deficit of land availability, water accessibility, soil degradation, human population growth and urbanization, food-fuel-feed competition and rising costs and shortages of conventional feed ingredients (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). The impact of climate change exacerbates these issues even further, impacting both the availability and quality of feed resources worldwide (<xref ref-type="bibr" rid="ref3">3</xref>). Globally, livestock production uses up to 40% of arable land for feed crop production, and over 30% of cereal production is allocated to animal feeds, contributing significantly to environmental pressures including greenhouse gas emissions, biodiversity loss, and water and resource usage (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). These challenges highlight the urgent need for sustainable, cost-effective, and environmentally responsible alternatives to conventional livestock feeds, making this an issue of global significance for animal agriculture and food security.</p>
<p>One potential solution to these problems is the use of agro-industrial by-products as alternative feed ingredients. Agro-industrial by-products are a rich source of a range of nutrients and bioactive compounds and thus represent a low-cost feed option, which could promote animal health and productivity (<xref ref-type="bibr" rid="ref6">6</xref>). In addition, their use in animal diets could reduce environmental pollution by offering an alternative to current disposal methods which contribute to greenhouse gas emissions (<xref ref-type="bibr" rid="ref6 ref7 ref8">6&#x2013;8</xref>). Furthermore, increasing circularity in EU food systems is a strategic priority, and nutrient recovery through animal nutrition is central to the concept of circular feed (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Among agro-industrial by-products, sea buckthorn (SB) (<italic>Hippophae rhamnoides</italic> L.) residues show particular promise. This hardy, rapid-growing shrub of the Elaeagnaceae family grows widely in North America, Europe, and Asia (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>). Its berries and leaves are rich in secondary metabolites with known antioxidant, cardioprotective, antimicrobial, anti-inflammatory, and hepatoprotective properties (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). While SB berries are primarily processed for juice and oil production, large quantities of residues&#x2014;including pomace with seeds (SBPS), pomace without seeds (SBPW), and leaves (SBL)&#x2014;are typically discarded (<xref ref-type="bibr" rid="ref15">15</xref>). Given their nutrient content and bioactive compounds, these residues warrant investigation as potential livestock feed ingredients.</p>
<p>Additionally, although a few feeding trials have used SB pomace or leaves in livestock diets, the data remain fragmented, and there is still a clear gap in the literature regarding the evaluation of SB by-products&#x2019; nutrient profiles in regard to animal feeding, and comparisons with various animal nutrient requirements (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>). A comprehensive evaluation of SB residues is therefore needed to support evidence-based diet formulation and to identify potential nutritional imbalances that may arise from their long-term or large-scale use in livestock feeding systems. The present study provides an initial step toward this goal. By integrating multi-nutrient profiling with livestock nutrient requirements, this study provides a novel, comprehensive first-step screening of SB by-products as alternative feed resources. It explores patterns in how these nutrient profiles align with the nutritional requirements of selected livestock species (poultry, pigs, horses, and cows) and their respective production categories (e.g., growing, lactating, gestating, working animals), identifying nutrient strengths, deficiencies, and potential suitability among different species. In addition, it provides a foundation for future experimental feeding and digestibility trials.</p>
<p>This study is looking for a solution which could help reduce animal feed costs and reliance on synthetic supplements while at the same time minimizing the environmental impacts of unsustainable disposal of these by-products. In the long term, such efforts could support more balanced, sustainable feeding strategies across production systems.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Sample preparation</title>
<p>All SB materials were obtained from Trocos Trade O&#x00DC; (Tartu, Estonia). Oven-drying was performed at 60&#x202F;&#x00B0;C using a Binder ED 30 gravity convection drying chamber (Tuttlingen, Germany). For amino acid analyses, samples were freeze-dried using a Martin Christ Alpha 3&#x2013;4 LSC basic freeze dryer (Osterode am Harz, Germany).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Proximate analyses</title>
<p>For proximate analyses standard methods of the Association of Official Analytical Chemists were followed (<xref ref-type="bibr" rid="ref19">19</xref>). To measure dry matter (DM) content, samples were heated for 2&#x202F;h in an oven at 130&#x202F;&#x00B0;C to constant weight. For determining crude ash, samples were burned at 550&#x202F;&#x00B0;C for 18&#x202F;h. Petroleum ether extraction was used to determine crude fat (EE), employing a Soxtec System 2043 Extraction Unit (FOSS, Hiller&#x00F8;d, Denmark). The Kjeldahl method, performed with a Kjeltec 2300 Analyzer (FOSS, Hiller&#x00F8;d, Denmark), was used to determine crude protein (CP) based on the nitrogen (N) content using a conversion factor of 6.25 (CP&#x202F;=&#x202F;N&#x202F;&#x00D7;&#x202F;6.25). Crude fiber (CF) analysis was conducted in accordance with ISO 6865:2000 (<xref ref-type="bibr" rid="ref20">20</xref>). Neutral Detergent Fiber (NDF) and Acid Detergent Fiber (ADF) were evaluated with a fiber analyzer ANKOM220 (ANKOM Technology, Macedon NY, USA) following a method described by Van Soest et al. (<xref ref-type="bibr" rid="ref21">21</xref>). For determining starch content of samples, the method adopted by the AOAC (Official Method 996.11) and AACC (Method 76.13.01) was used (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). The nitrogen-free extractives (NFE) fraction was derived by estimation of difference, using the <xref ref-type="disp-formula" rid="E1">Equation 1</xref>:</p>
<disp-formula id="E1">
<mml:math id="M1">
<mml:mi>NFE</mml:mi>
<mml:mo stretchy="true">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mi>DM</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mtext>crude</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi>ash</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>CP</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>CF</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>EE</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>.</mml:mo>
</mml:math>
<label>(1)</label>
</disp-formula>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Mineral content</title>
<p>An Agilent 5800 ICP-OES was used to determine the contents of 10 macro- and microelements: calcium (Ca), phosphorus (P), potassium (K), magnesium (Mg), sodium (Na), iron (Fe), copper (Cu), zinc (Zn), manganese (Mn) molybdenum (Mo) and cobalt (Co). The procedure followed the Agilent Application Note for Food and Agriculture (Method 5,110 VDV ICP-OES) (<xref ref-type="bibr" rid="ref24">24</xref>). In brief, to prepare the samples, approximately 0.5&#x202F;g of each sample was weighed into a PTFE test tube followed by adding 2.5&#x202F;mL of concentrated HNO<sub>3</sub> and 2.5&#x202F;mL of concentrated HCl. The samples were then subjected to microwave digestion with closed cup using Mars 6 microwave (CEM Corporation, Matthews, USA). Following digestion, the samples were diluted to a final volume of 50&#x202F;mL with distilled water. Working standards were prepared from single element Agilent ICP-OES Calibration Standards. IAG Ringtest samples (tested by 28 feedingstuff laboratories) were used as control samples. All elements were quantified using linear calibration curves, which demonstrated high correlation coefficients (lowest <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.999), as it can be seen in <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Amino acids</title>
<p>Amino acid concentrations were determined using liquid chromatography&#x2013;tandem mass spectrometry, following an adapted methodology previously reported by Ben-Othamn et al. (<xref ref-type="bibr" rid="ref25">25</xref>). Amino acids were quantified after acid hydrolysis of the samples, ensuring that the results represent amino acids released from hydrolyzed proteins rather than just free amino acids. Prior to chromatographic determination, amino acids were derivatized to enable accurate detection and separation by RPLC-ESI-MS/MS. The LC MS/MS system consisted of an Agilent 1290 Infinity II quaternary pump, a column thermostat, an autosampler, and an Agilent 6460 Triple Quadripole mass spectrometer, equipped with an Agilent Jet stream Technology electrospray ionization source. A Zorbax Eclipse Plus C18 column (3.0&#x202F;&#x00D7;&#x202F;100&#x202F;mm, 1.8&#x202F;&#x03BC;m) was used for the chromatographic separation coupled with a guard column (3.0&#x202F;&#x00D7;&#x202F;5&#x202F;mm, 1.8&#x202F;&#x03BC;m). The mobile phase consisted of 0.1% formic acid in water (solvent A) and acetonitrile (solvent B), delivered at a flow rate of 0.4&#x202F;mL/min. The gradient program was as follows: 0&#x2013;2&#x202F;min, 10% B; 2&#x2013;27&#x202F;min, 10&#x2013;98% B; 27&#x2013;29&#x202F;min, 98% B; and 29&#x2013;31&#x202F;min, 98&#x2013;10% B. Positive ionization mode with a capillary voltage of 3,000&#x202F;V in dynamic multiple reaction monitoring mode was used for analysis (<xref ref-type="bibr" rid="ref25">25</xref>). Amino acid concentrations were converted to g per kg of dry matter (DM) by dividing the obtained concentration values in the solution by the DM content of the freeze-dried samples, enabling direct comparison with the animals&#x2019; requirements.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Fatty acids</title>
<p>Fatty acid contents of SB residues were determined following the methodology previously described by Sukhija et al. (<xref ref-type="bibr" rid="ref26">26</xref>). Oven dried samples (50&#x2013;500&#x202F;mg of sample depending on fat content, ca. 10&#x2013;60&#x202F;mg of fat) were placed in 16&#x202F;mL test tubes, and 0.75&#x202F;mL of internal standard heptadecanoic acid (C17:0) solution in toluene (4&#x202F;mg/mL), 0.75&#x202F;mL toluene, and 2.25&#x202F;mL freshly prepared 5% HCl in methanol were added. The mixture was vortexed for 1&#x202F;min, heated at 70&#x202F;&#x00B0;C for 2&#x202F;h, and cooled to room temperature. Neutralization was achieved with the addition of 3.75&#x202F;mL 6% aqueous K&#x2082;CO&#x2083; and 1.5&#x202F;mL toluene, followed by mixing and centrifugation (5&#x202F;min, 1,500&#x00D7;<italic>g</italic>). The upper layer was transferred to a new tube, treated with ~0.75&#x202F;g anhydrous Na&#x2082;SO&#x2084; and approximately 0.75&#x202F;g activated carbon, mixed briefly, and left to stand for 1&#x202F;h. After centrifugation (5&#x202F;min, 4,000&#x00D7;<italic>g</italic>), a clear toluene layer containing 10&#x2013;30&#x202F;mg/mL fatty acid methyl esters (FAMEs) was obtained. Complete methylation was verified using thin-layer chromatography (TLC) with hexane:diethyl ether:acetic acid (85:15:1) as the eluent, visualized under iodine vapor or UV light.</p>
<p>Following this, FAMEs were analyzed on an Agilent 6890 GC (Santa Clara, CA, USA), equipped with a split/splitless injector and flame ionization detector, using a CP-Sil 88 capillary column (100&#x202F;m&#x202F;&#x00D7;&#x202F;0.25&#x202F;mm i.d., 0.20&#x202F;&#x03BC;m film). Hydrogen was the carrier gas. The injector and detector were set at 260&#x202F;&#x00B0;C and detector gases were supplied at 30&#x202F;mL/min H&#x2082; and 300&#x202F;mL/min air. A 1&#x202F;&#x03BC;L sample (15&#x2013;40&#x202F;mg/mL) was injected with a split ratio of 60:1. The oven program was 170&#x202F;&#x00B0;C for 10&#x202F;min, ramped at 4&#x202F;&#x00B0;C/min to 240&#x202F;&#x00B0;C, held for 10&#x202F;min, with constant carrier gas pressure of 25&#x202F;psi. Fatty acids were identified by comparing retention times with commercial FAME standards (Supelco 37 Component Mix, Nu-Chek Prep standards, FAME Mix, and individual FAMEs). Conjugated linoleic acid isomers were identified using Nu-Chek Prep standards. Measured values of short-chain fatty acids (C4:0&#x2013;C12:0) were corrected using the correlation factors provided in the Supplementary Material (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S2</xref>).</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Vitamin content</title>
<p>The determination of vitamins A, D, E, B<sub>1</sub>, B<sub>2</sub>, B<sub>3</sub> and B<sub>6</sub> was performed using Agilent HPLC 1200, fitted with quaternary pump, autosampler, column thermostat, and diode-array (DAD) and fluorescence detectors (FLD). Fat-soluble vitamins were detected with the mobile phase consisting of water, methanol and acetonitrile, while for water-soluble vitamins it consisted of acidic water and methanol. The flow rate was 0.5&#x202F;mL/min. Vitamins B<sub>1</sub>, B<sub>2</sub>, and B<sub>3</sub> were quantified using DAD, while FLD was used for vitamin B<sub>6</sub>. The assessment of B<sub>5</sub> vitamin content was carried out with LC&#x2013;MS/MS, which was operated in positive ionization mode with capillary voltage of 3,500&#x202F;V. Analyses were conducted according to accredited European standard methods with some modifications: EVS-EN 12823&#x2013;1:2014 for vitamin A (<xref ref-type="bibr" rid="ref27">27</xref>), EVS-EN 14122:2014 for vitamin B1 (<xref ref-type="bibr" rid="ref28">28</xref>), EVS-EN 14152:2014 for vitamin B2 (<xref ref-type="bibr" rid="ref29">29</xref>), EVS-EN 15652:2009 for B3 (<xref ref-type="bibr" rid="ref30">30</xref>), EVS-EN 14663:2006 for vitamin B6 (<xref ref-type="bibr" rid="ref31">31</xref>), EVS-EN 12821:2009 for vitamin D (<xref ref-type="bibr" rid="ref32">32</xref>), and EVS-EN 12822:2014 for vitamin E (<xref ref-type="bibr" rid="ref33">33</xref>). The concentrations were determined by calculating the concentration from the peak area observed in the sample, using external calibration.</p>
<p>Values below the detection limits (LOD), which were set by the analytical method, are reported as &#x201C;&#x003C;.&#x201D; For vitamin A, the LOD was 0.02&#x202F;&#x03BC;g/g for most samples, whereas SBPS, which was analyzed at a later stage, had an LOD of 0.05&#x202F;&#x03BC;g/g. For vitamin D, the LOD was 0.01&#x202F;&#x03BC;g/g for most samples and 0.005&#x202F;&#x03BC;g/g for SBPS. The LOD for vitamin B<sub>1</sub> was 0.1&#x202F;&#x03BC;g/g for all samples.</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Conversion of &#x03B2;-carotene to vitamin A</title>
<p>Species-specific protocols were applied to estimate the potential conversion of &#x03B2;-carotene to vitamin A. For pigs, the National research council (NRC) (2012) indicates that 1&#x202F;mg of &#x03B2;-carotene has a calculated potency of 0.08&#x202F;mg vitamin A; therefore, &#x03B2;-carotene values of the samples were multiplied by 0.08 (<xref ref-type="bibr" rid="ref34">34</xref>). For ruminants, in accordance with the NorFor system, a conversion factor of 1&#x202F;mg of &#x03B2;-carotene&#x202F;=&#x202F;400&#x202F;IU (0.12&#x202F;mg) of vitamin A was applied (<xref ref-type="bibr" rid="ref35">35</xref>). Based on NRC (2007), the same factor was used for horses (<xref ref-type="bibr" rid="ref36">36</xref>). For poultry, the conversion efficiency is higher, with a 3:1 ratio, corresponding to 1&#x202F;mg of &#x03B2;-carotene being equivalent to 0.33&#x202F;mg of vitamin A (<xref ref-type="bibr" rid="ref37">37</xref>).</p>
</sec>
<sec id="sec10">
<label>2.8</label>
<title>Acid-Detergent Insoluble Protein</title>
<p>For determination of Acid-Detergent Insoluble Protein (ADIP), ADF was first measured according to the AOAC method 973.18 (<xref ref-type="bibr" rid="ref38">38</xref>). The CP content of the residue remaining after ADF determination was then analyzed using the Kjeldahl method. ADIP in the DM of the sample were calculated using the <xref ref-type="disp-formula" rid="E2">Equation 2</xref>:</p>
<disp-formula id="E2">
<mml:math id="M2">
<mml:mtext mathvariant="italic">ADIP</mml:mtext>
<mml:mo>,</mml:mo>
<mml:mo>%</mml:mo>
<mml:mi mathvariant="italic">DM</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext>ADFCP</mml:mtext>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>DM</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">ADF</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="italic">DM</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mn>100</mml:mn>
</mml:mfrac>
</mml:math>
<label>(2)</label>
</disp-formula>
<p>Where ADFCP represents the crude protein content of the remaining residue after ADF has been performed.</p>
<p>To express ADIP as a percentage of the sample&#x2019;s CP, the <xref ref-type="disp-formula" rid="E3">Equation 3</xref> was used:</p>
<disp-formula id="E3">
<mml:math id="M3">
<mml:mtext mathvariant="italic">ADIP</mml:mtext>
<mml:mo>,</mml:mo>
<mml:mo>%</mml:mo>
<mml:mi mathvariant="italic">CP</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>%</mml:mo>
<mml:mtext>ADIP</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>DM</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:mo>%</mml:mo>
<mml:mi>CP</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>DM</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
</mml:math>
<label>(3)</label>
</disp-formula>
</sec>
<sec id="sec11">
<label>2.9</label>
<title>Gross energy and metabolizable energy predictions</title>
<p>Gross Energy (GE) of the by-products was estimated using calorific coefficients of different nutrients as described by <xref ref-type="disp-formula" rid="E4">Equation 4</xref> (<xref ref-type="bibr" rid="ref39">39</xref>):</p>
<disp-formula id="E4">
<mml:math id="M4">
<mml:mi mathvariant="italic">GE</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mn>23.9</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">CP</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>39.8</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">EE</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>20.1</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">CF</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>17.5</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">NFE</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>/</mml:mo>
<mml:mn>100</mml:mn>
</mml:math>
<label>(4)</label>
</disp-formula>
<p>Obtained values for GE of samples were expressed as MJ/kg DM. Due to the absence of direct measurements on the digestibility and energy availability of the SB by-products, metabolizable energy (ME) values for different animal species were estimated using prediction equations based on the chemical composition of the samples (<xref ref-type="disp-formula" rid="E5">Equations 5</xref>&#x2013;<xref ref-type="disp-formula" rid="E8">8)</xref>. For ruminants, ME was estimated using both the chemical composition and total gas production (24&#x202F;h) obtained from <italic>in vitro</italic> gas production evaluation. Although the gas production data are not shown, they were included in the calculations.</p>
<p>For pigs, the following prediction <xref ref-type="disp-formula" rid="E5">Equation 5</xref> was applied (<xref ref-type="bibr" rid="ref40">40</xref>):</p>
<disp-formula id="E5">
<mml:math id="M5">
<mml:mi mathvariant="italic">ME</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1133</mml:mn>
<mml:mo>+</mml:mo>
<mml:mn>0.65</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">GE</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>29.05</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">ash</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>23.17</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">NDF</mml:mi>
</mml:math>
<label>(5)</label>
</disp-formula>
<p>In this equation, NDF and ash contents were expressed as % DM. GE was estimated using <xref ref-type="disp-formula" rid="E3">Equation 3</xref> and while it was originally expressed in MJ/kg DM; these values were converted to kcal/kg DM to be compatible with the ME equations. Final ME values expressed as kcal/kg DM were converted to MJ/kg DM, through multiplication with a factor of 0.004187.</p>
<p>For broilers, the apparent metabolizable energy corrected for nitrogen (AMEn) was estimated using the following <xref ref-type="disp-formula" rid="E6">Equation 6</xref> developed by Alvarenga et al. (<xref ref-type="bibr" rid="ref41">41</xref>):</p>
<disp-formula id="E6">
<mml:math id="M6">
<mml:mtext mathvariant="italic">AMEn</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mn>4095.41</mml:mn>
<mml:mo>+</mml:mo>
<mml:mn>56.84</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">EE</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>225.26</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">ash</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>22.24</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">NDF</mml:mi>
</mml:math>
<label>(6)</label>
</disp-formula>
<p><xref ref-type="disp-formula" rid="E6">Equation 6</xref> was used for energy and protein concentrate feedstuffs with nutrient inputs expressed as % of DM. The obtained AMEn values of by-products were expressed in kcal/kg DM and subsequently converted to MJ/kg DM using a factor of 0.004187.</p>
<p>For horses, metabolizable energy was estimated using the <xref ref-type="disp-formula" rid="E7">Equation 7</xref> proposed by Kienzle et al. (<xref ref-type="bibr" rid="ref42">42</xref>):</p>
<disp-formula id="E7">
<mml:math id="M7">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="italic">ME</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3.54</mml:mn>
<mml:mo>+</mml:mo>
<mml:mn>0.0129</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">CP</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>0.0420</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">EE</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.0019</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">CF</mml:mi>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo>+</mml:mo>
<mml:mn>0.0185</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">NFE</mml:mi>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
<label>(7)</label>
</disp-formula>
<p>In <xref ref-type="disp-formula" rid="E7">Equation 7</xref>, all crude nutrients were expressed in g/kg of DM while obtained ME results were expressed as MJ/kg DM.</p>
<p>Metabolizable energy in ruminants was estimated using the <xref ref-type="disp-formula" rid="E8">Equation 8</xref> developed by Menke et al. (<xref ref-type="bibr" rid="ref43">43</xref>):</p>
<disp-formula id="E8">
<mml:math id="M8">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="italic">ME</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1.06</mml:mn>
<mml:mo>+</mml:mo>
<mml:mn>0.1570</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">Gas</mml:mi>
<mml:mspace width="0.33em"/>
<mml:mtext mathvariant="italic">produced</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mn>0.0084</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">CP</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>0.022</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">EE</mml:mi>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo>&#x2013;</mml:mo>
<mml:mn>0.0081</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">Ash</mml:mi>
<mml:mo>.</mml:mo>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
<label>(8)</label>
</disp-formula>
<p>Total gas production was expressed as mL/200&#x202F;mg DM, while nutrients included in <xref ref-type="disp-formula" rid="E8">Equation 8</xref> were expressed as g/kg DM. Final ME results were expressed as MJ/kg DM.</p>
</sec>
<sec id="sec12">
<label>2.10</label>
<title>Comparison of SB residue nutritional profile with conventional feed ingredients</title>
<p>The proximate composition, fatty acid, amino acid, mineral and vitamin contents of the samples were compared to reference values of conventional feed ingredients from INRA and NorFor databases, with the aim of identifying relative differences (i.e., whether values were higher or lower) (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). The following conventional feed ingredients were used for comparison: cereals, legumes, oilseed and oilseed by-products and roughages. Detailed information regarding the selected conventional feed ingredients and their chemical composition is provided in <xref rid="SM1" ref-type="supplementary-material">Supplementary Tables S7&#x2013;12</xref>. Since ADIP values were not provided in either the NorFor or INRA feed tables, the ADIP content of the materials was compared with that of conventional feed ingredients, using data from McDonald et al. (<xref ref-type="bibr" rid="ref37">37</xref>).</p>
</sec>
<sec id="sec13">
<label>2.11</label>
<title>Species-specific nutrient requirements</title>
<p>To compare SB residues nutritional profiles against animals&#x2019; nutritional requirements, multiple feed evaluation systems were used, with the systems near the Baltic regions prioritized: Natural Resources Institute Finland (Luke) for poultry, horses and ruminants (<xref ref-type="bibr" rid="ref46">46</xref>) and the Danish nutrient standards for pigs (<xref ref-type="bibr" rid="ref47">47</xref>). Nutrients which were not covered in these systems were derived from NRC (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref48">48</xref>) and the Estonian system for horses, pigs and cattle (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>). Daily nutrient requirements were applied directly, while values reported per 1&#x202F;kg of feed/DM were converted to daily amounts using estimated feed or DM intake.</p>
<p>To assess how well the nutrients in the samples meet the daily requirements of various animal species and categories, SB residues were assumed to be included at a uniform level of 2.5% of an animal&#x2019;s daily DMI. This rate was selected considering the nutritional requirements of the target species, the chemical composition of the by-products, and their practical availability. Due to the relatively high fiber content of SB materials, their inclusion in the diets of poultry and weaned piglets is limited, as these species are unable to digest fiber efficiently. Moreover, while larger animals could theoretically tolerate higher inclusion rates of SB residues, this would mean that daily intakes of SB residues would exceed 1&#x202F;kg per animal, which could be impractical and unsustainable. This is because the availability of SB residues is highly seasonal, depending on the processing period of berries, and large quantities may not be available throughout the year. In addition, the residues are high in moisture, requiring drying or other preservation methods to ensure stability and prevent microbial spoilage in case of large quantities. While small quantities could hypothetically be dried/preserved more easily using simple on-farm drying or fed fresh, managing large amounts would require dedicated additional infrastructure for drying and preservation which many farms may not be able to provide. This makes large-scale utilization less practical and potentially less sustainable. Therefore, 2.5% level was applied across all species to ensure both practicality and comparability.</p>
<p>Percentage fulfillment of daily nutrient requirements was calculated by estimating specific nutrient intake at a 2.5% inclusion rate of each SB residue in the animals&#x2019; diets. The resulting nutrient supply (g or mg/day) was then divided by the corresponding daily requirement of that nutrient and multiplied by 100, as shown in <xref ref-type="disp-formula" rid="E9">Equation 9</xref>. Contributions &#x003C;2.5% were considered deficient, &#x2248;2.5% adequate, and values well above 2.5% rich or, if substantially higher, excessive.</p>
<disp-formula id="E9">
<mml:math id="M9">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mtext mathvariant="italic">Percentage fulfilment</mml:mtext>
<mml:mo>=</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mfrac>
<mml:mrow>
<mml:mtext>Nutrient intake from sample</mml:mtext>
<mml:mspace width="0.33em"/>
<mml:mi>at</mml:mi>
<mml:mspace width="0.33em"/>
<mml:mn>2.5</mml:mn>
<mml:mo>%</mml:mo>
<mml:mi>DMI</mml:mi>
</mml:mrow>
<mml:mtext>Daily requirement of nutrient</mml:mtext>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
<label>(9)</label>
</disp-formula>
<p>For vitamin concentrations below the detection limit (e.g., &#x003C;20&#x202F;mg/kg), values were replaced with half of the detection limit (LOD/2; in this case 10&#x202F;mg/kg) to allow comparison with animal daily nutritional requirements. All vitamin requirements presented as IU/day were converted to mg/day to accomplish an easier comparison with the SB samples&#x2019; vitamin contents (<xref ref-type="bibr" rid="ref51">51</xref>).</p>
<p>Additionally, the assessment of daily amino acid requirement fulfillment was limited to pigs and poultry, as relevant requirement data were only available for these species. For horses, only lysine fulfillment was evaluated, since it was the sole amino acid with established requirement data (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref53">53</xref>). For ruminants (except calves), amino acid requirements are not specifically defined; therefore, daily requirement fulfillment was not determined. Moreover, such an assessment would be unreliable, as it is not possible to estimate what proportion of amino acids would escape rumen degradation. Regarding fatty acids, only the requirements for linoleic acid were specified for different categories of chickens and pigs, and this was compared with the linoleic acid content of the samples (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref46">46</xref>).</p>
<sec id="sec14">
<label>2.11.1</label>
<title>Nutrient requirements for horses</title>
<p>To assess the samples&#x2019; fulfillment of daily nutrient requirements for horses, values published by Luke were used (<xref ref-type="bibr" rid="ref46">46</xref>). These requirements were based on three horse categories: working horses (ranging from light to heavy exercise), pregnant mares, and lactating mares. For certain nutrients (CP, lysine, Na, K, and Mn) which were not included in Luke, the requirements from NRC were used, as the compatibility between Luke and NRC made this choice appropriate (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref46">46</xref>). The nutrient requirements, presented as a range in the feed evaluation systems, were averaged to allow a more effective comparison with the nutrient composition of SB samples. The supplementary material presents the detailed nutritional requirements of horses used (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S3</xref>).</p>
</sec>
<sec id="sec15">
<label>2.11.2</label>
<title>Nutrient requirements for poultry</title>
<p>To evaluate the samples&#x2019; nutrient content against poultry daily requirements, data for broiler chickens (day 23 until slaughter) and laying hens (29&#x2013;45&#x202F;weeks of age) were obtained from Luke (<xref ref-type="bibr" rid="ref46">46</xref>). In the Luke tables, all values were expressed as g/kg or mg/kg. To convert these into daily requirements, feed intake was estimated according to Estonian recommendations for laying hens and 4-week-old broiler chickens (<xref ref-type="bibr" rid="ref54">54</xref>). For amino acids not reported in Luke, requirements were obtained from McDonald et al. (<xref ref-type="bibr" rid="ref37">37</xref>). To enable a more effective comparison, the nutrient requirements, which were presented as a range, were averaged. Detailed nutritional requirements of poultry (laying hens and broiler chicken) can be seen in <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S4</xref>.</p>
</sec>
<sec id="sec16">
<label>2.11.3</label>
<title>Nutrient requirements for pigs</title>
<p>For determining mineral and vitamin requirements of different pig categories, Danish nutrient standards were applied (<xref ref-type="bibr" rid="ref47">47</xref>). The nutrient content of the samples was compared against the requirements of the following pig categories: weaned piglets (9&#x2013;15&#x202F;kg) with standard diet and 1.65&#x2013;1.8 Danish feed unit for growing pigs (fugp)/kg gain; finishers (30&#x2013;60&#x202F;kg) with 2.45&#x2013;2.6 fugp/kg gain; finishers (75&#x2013;115&#x202F;kg) with 2.45&#x2013;2.6 fugp/kg gain; gilts (60&#x2013;110&#x202F;kg and 120&#x202F;+&#x202F;kg); gestating sows (0&#x2013;110&#x202F;days and 110&#x2013;117&#x202F;days in gestation) and lactating sows.</p>
<p>Requirements in the Danish nutrient standards were originally expressed per Danish feed unit (FU). For comparison with sample nutrient content, these values were converted to g, mg, or IU/kg according to the instructions provided for each pig category in the Danish nutrient standards. Daily requirements were then obtained by multiplying the obtained values by feed intake values proposed by the NRC (<xref ref-type="bibr" rid="ref34">34</xref>).</p>
<p>For each pig category, Ca requirements were based on diets supplemented with 150&#x2013;200% phytase (approximately 390&#x2013;1,312.5 FTU/kg, depending on the phytase product). Zinc requirements were taken from diets with 0&#x2013;150% phytase supplementation, as values for 150&#x2013;200% phytase were not available and this range corresponded most closely to the Ca reference.</p>
<p>Fulfillment of amino acid requirements was evaluated using total daily requirements from the NRC (<xref ref-type="bibr" rid="ref34">34</xref>), as the Danish Nutrient Standards (<xref ref-type="bibr" rid="ref47">47</xref>) report only digestible values, and the digestibility of the SB samples&#x2019; amino acids is unknown. Linoleic acid requirements were also taken from the NRC (<xref ref-type="bibr" rid="ref34">34</xref>). To assess protein adequacy, daily CP requirements from the Estonian feeding recommendations were applied, as these were the only values available for total rather than digestible protein (<xref ref-type="bibr" rid="ref49">49</xref>). The supplementary material shows detailed nutritional requirements for all pig categories (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S5</xref>).</p>
</sec>
<sec id="sec17">
<label>2.11.4</label>
<title>Requirements of dairy cows, heifers, dry cows and calves</title>
<p>Nutrient content of the SB samples was evaluated against the daily requirements of a dairy cow weighing 650&#x202F;kg and producing 35&#x202F;kg of energy-corrected milk (ECM), heifers weighing 200&#x202F;kg and 400&#x202F;kg, dry cows, and 2-month-old calves. Nutritional requirements for dairy cows and heifers were primarily based on Luke recommendations (<xref ref-type="bibr" rid="ref46">46</xref>). CP requirements were based on NRC values for heifers and Penn State University guidelines for dairy cows (<xref ref-type="bibr" rid="ref55">55</xref>). Additionally, as K requirements for heifers (200&#x202F;kg and 400&#x202F;kg) were not available in the Luke database, they were estimated using the NorFor model&#x2019;s proposed equation (<xref ref-type="disp-formula" rid="E10">Equation 10</xref>) for the minimum dietary K requirement in growing cattle (<xref ref-type="bibr" rid="ref35">35</xref>):</p>
<disp-formula id="E10">
<mml:math id="M10">
<mml:mi>K</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="italic">req</mml:mi>
<mml:mo>.</mml:mo>
<mml:mo>min</mml:mo>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>g</mml:mi>
<mml:mo>/</mml:mo>
<mml:mi mathvariant="italic">day</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mn>6</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">DMI</mml:mi>
</mml:math>
<label>(10)</label>
</disp-formula>
<p>To estimate the daily nutrient requirements of heifers and dairy cows, the values provided per kg of DM were multiplied by assumed DMI. For lactating dairy cows, DMI was assumed to be 3.8% of body weight, according to Estonian feeding recommendations (<xref ref-type="bibr" rid="ref49">49</xref>). For heifers (200&#x202F;kg and 400&#x202F;kg), DMI was calculated using the NorFor predictive equation (<xref ref-type="disp-formula" rid="E11">Equation 11</xref>) (<xref ref-type="bibr" rid="ref35">35</xref>):</p>
<disp-formula id="E11">
<mml:math id="M11">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="italic">DMI</mml:mi>
<mml:mspace width="0.33em"/>
<mml:mtext mathvariant="italic">heifer</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mi mathvariant="italic">BW</mml:mi>
<mml:mn>100</mml:mn>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo stretchy="true">(</mml:mo>
<mml:mn>0.000004</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>B</mml:mi>
<mml:msup>
<mml:mi>W</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.0049</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">BW</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>3.1033</mml:mn>
<mml:mo stretchy="true">)</mml:mo>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
<label>(11)</label>
</disp-formula>
<p>NRC guidelines were used to compare the nutrient contents of samples against the requirements of dry cows and calves (<xref ref-type="bibr" rid="ref48">48</xref>). For calves, DMI, methionine, and lysine requirements were based on Estonian feeding recommendations published in the project report <italic>Uuendnoorkarja s&#x00F6;&#x00F6;tmisstrateegia loomine l&#x00FC;psikarja efektiivseks ja j&#x00E4;tkusuutlikuks taastootmiseks</italic> (<xref ref-type="bibr" rid="ref50">50</xref>). Detailed nutritional requirements for all categories are presented in <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S6</xref>.</p>
</sec>
</sec>
<sec id="sec18">
<label>2.12</label>
<title>Statistical analysis</title>
<p>The fulfillment of daily nutrient requirements (%) across different animal categories was calculated using the Microsoft Excel 2017 Data Analysis Add-in. All graphs were generated using R software (v4.1.2; R Core Team, 2021). Tukey&#x2019;s tests and correlation analyses were performed using R statistical software (v4.1.2; R Core Team, 2021).</p>
<p>To calculate the standard deviation when two amino acids were summed (e.g., methionine + cysteine), the following formula (<xref ref-type="disp-formula" rid="E12">Equation 12</xref>) was used:</p>
<disp-formula id="E12">
<mml:math id="M12">
<mml:mtext mathvariant="italic">stdev</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="italic">met</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi mathvariant="italic">cys</mml:mi>
<mml:mo>=</mml:mo>
<mml:msqrt>
<mml:mrow>
<mml:mtext mathvariant="italic">stdev</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="italic">me</mml:mi>
<mml:msup>
<mml:mi>t</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mtext mathvariant="italic">stdev</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="italic">cy</mml:mi>
<mml:msup>
<mml:mi>s</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:msqrt>
</mml:math>
<label>(12)</label>
</disp-formula>
</sec>
</sec>
<sec sec-type="results" id="sec19">
<label>3</label>
<title>Results</title>
<sec id="sec20">
<label>3.1</label>
<title>Proximate analyses</title>
<p>Proximate analysis data are presented in <xref ref-type="table" rid="tab1">Table 1</xref>, with a spider chart (<xref ref-type="fig" rid="fig1">Figure 1A</xref>) showing relative variation among samples. The presence of seeds in SBP significantly increased the overall CP content, with SBPS CP reaching nearly 225&#x202F;g/kg DM compared to 96&#x202F;g/kg DM in SBPW. Furthermore, SBPW exhibited the highest EE content, with fat levels notably exceeding those of SBPS. On a DM basis, seeds appear to contribute more protein than fat. The fat fraction of SBL was low compared to both pomaces, only 29&#x202F;g/kg DM. Meanwhile, CF was highest in SBPS and lowest in SBL, consistent with NDF concentrations. ADF levels mirrored NDF values, with concentrations approximately 10% lower. Additionally, ingredients showed elevated ADIP levels. A clear difference was observed between the SBP fractions: ADIP accounted for 12.9% of CP in SBPW but 7.0% in SBPS. Regarding the energy contents of the SB residues, SBPW consistently exhibited the highest energy levels across both GE and ME for all animal species. GE values were similar for SBPW and SBPS, with SBPS slightly lower. Predicted ME varied among the by-products and also across animal species, indicating species-specific differences in energy utilization: SBL and SBPS were similar for horses and ruminants, whereas in broilers, ME of SBL was markedly lower than that of SBPS. <xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>, <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>, <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref> and <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref> shows how SB residues fulfill the daily ME and CP requirements of different animal species and categories. SBPS contributed the most to CP requirements, whereas SBPW provided the largest proportion of daily ME across the animal categories.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Proximate composition (average&#x202F;&#x00B1;&#x202F;SD) of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS) and sea buckthorn pomace without seeds (SBPW).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Analyzed component</th>
<th align="center" valign="top">SBL<break/><italic>n</italic>&#x202F;=&#x202F;3</th>
<th align="center" valign="top">SBPS<break/><italic>n</italic>&#x202F;=&#x202F;3</th>
<th align="center" valign="top">SBPW<break/><italic>n</italic>&#x202F;=&#x202F;3</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Dry Matter, g/kg DM</td>
<td align="center" valign="middle">934&#x202F;&#x00B1;&#x202F;9.0<sup>a</sup></td>
<td align="center" valign="middle">922&#x202F;&#x00B1;&#x202F;6.6<sup>a</sup></td>
<td align="center" valign="middle">928&#x202F;&#x00B1;&#x202F;12.9<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">Organic Matter, g/kg DM</td>
<td align="center" valign="middle">942&#x202F;&#x00B1;&#x202F;0.7<sup>b</sup></td>
<td align="center" valign="middle">979&#x202F;&#x00B1;&#x202F;2.1<sup>a</sup></td>
<td align="center" valign="middle">980&#x202F;&#x00B1;&#x202F;0.5<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">Crude Protein, g/kg DM</td>
<td align="center" valign="middle">136&#x202F;&#x00B1;&#x202F;4.4<sup>b</sup></td>
<td align="center" valign="middle">225&#x202F;&#x00B1;&#x202F;4.2<sup>a</sup></td>
<td align="center" valign="middle">96&#x202F;&#x00B1;&#x202F;2.8<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Crude ash, g/kg DM</td>
<td align="center" valign="middle">58&#x202F;&#x00B1;&#x202F;6.8<sup>a</sup></td>
<td align="center" valign="middle">21&#x202F;&#x00B1;&#x202F;2.1<sup>b</sup></td>
<td align="center" valign="middle">20&#x202F;&#x00B1;&#x202F;0.5 <sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">Crude Fiber g/kg DM</td>
<td align="center" valign="middle">143&#x202F;&#x00B1;&#x202F;17.4<sup>a</sup></td>
<td align="center" valign="middle">189&#x202F;&#x00B1;&#x202F;24.2<sup>a</sup></td>
<td align="center" valign="middle">154&#x202F;&#x00B1;&#x202F;22.7 <sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">Ether extract, g/kg DM</td>
<td align="center" valign="middle">29&#x202F;&#x00B1;&#x202F;9.4<sup>b</sup></td>
<td align="center" valign="middle">152&#x202F;&#x00B1;&#x202F;33.8<sup>a</sup></td>
<td align="center" valign="middle">201&#x202F;&#x00B1;&#x202F;20.1<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">Nitrogen Free Extractives, g/kg DM</td>
<td align="center" valign="middle">634&#x202F;&#x00B1;&#x202F;24.4<sup>a</sup></td>
<td align="center" valign="middle">413&#x202F;&#x00B1;&#x202F;4.5<sup>c</sup></td>
<td align="center" valign="middle">530&#x202F;&#x00B1;&#x202F;7.3<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">Neutral Detergent Fiber, g/kg DM</td>
<td align="center" valign="middle">247&#x202F;&#x00B1;&#x202F;0.9<sup>b</sup></td>
<td align="center" valign="middle">358&#x202F;&#x00B1;&#x202F;18.4<sup>a</sup></td>
<td align="center" valign="middle">326&#x202F;&#x00B1;&#x202F;17.3<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">Acid Detergent Fiber, g/kg DM</td>
<td align="center" valign="middle">210&#x202F;&#x00B1;&#x202F;8.3<sup>b</sup></td>
<td align="center" valign="middle">291&#x202F;&#x00B1;&#x202F;14.9<sup>a</sup></td>
<td align="center" valign="middle">267&#x202F;&#x00B1;&#x202F;28.4<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">Starch, g/kg DM</td>
<td align="center" valign="middle">7&#x202F;&#x00B1;&#x202F;0.1<sup>a</sup></td>
<td align="center" valign="middle">3&#x202F;&#x00B1;&#x202F;0.2<sup>b</sup></td>
<td align="center" valign="middle">2&#x202F;&#x00B1;&#x202F;0.1<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">ADIP, % CP<xref ref-type="table-fn" rid="tfn1"><sup>1</sup></xref></td>
<td align="center" valign="middle">18.3</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">12.9</td>
</tr>
<tr>
<td align="left" valign="top">Assumed digestible CP, g/kg DM<xref ref-type="table-fn" rid="tfn1"><sup>1</sup></xref></td>
<td align="center" valign="middle">111.1</td>
<td align="center" valign="middle">209.1</td>
<td align="center" valign="middle">83.4</td>
</tr>
<tr>
<td align="left" valign="top">GE, MJ/ kg DM<xref ref-type="table-fn" rid="tfn2"><sup>2</sup></xref></td>
<td align="center" valign="middle">18.4</td>
<td align="center" valign="middle">22.5</td>
<td align="center" valign="middle">22.7</td>
</tr>
<tr>
<td align="left" valign="top">ME pigs (MJ/kg DM)<xref ref-type="table-fn" rid="tfn2"><sup>2</sup></xref></td>
<td align="center" valign="middle">13.6</td>
<td align="center" valign="middle">15.1</td>
<td align="center" valign="middle">15.6</td>
</tr>
<tr>
<td align="left" valign="top">ME broilers (MJ/kg DM)<xref ref-type="table-fn" rid="tfn2"><sup>2</sup></xref></td>
<td align="center" valign="middle">10.1</td>
<td align="center" valign="middle">15.4</td>
<td align="center" valign="middle">17</td>
</tr>
<tr>
<td align="left" valign="top">ME horses (MJ/kg DM)<xref ref-type="table-fn" rid="tfn2"><sup>2</sup></xref></td>
<td align="center" valign="middle">10.9</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">15.6</td>
</tr>
<tr>
<td align="left" valign="top">ME ruminants (MJ/kg DM)<xref ref-type="table-fn" rid="tfn2"><sup>2</sup></xref></td>
<td align="center" valign="middle">8.1</td>
<td align="center" valign="middle">9.7</td>
<td align="center" valign="middle">13.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Values within a column with different superscript letters are significantly different (Tukey&#x2019;s HSD test, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<fn id="tfn1">
<label>1</label>
<p>ADIP (% of CP) and assumed digestible crude protein (g/kg DM) were calculated using mean values of ADF-CP, ADF, and crude protein. Therefore, only a single calculated value is reported and no standard deviation is available.</p>
</fn>
<fn id="tfn2">
<label>2</label>
<p>Metabolizable energy (ME; species-specific) and gross energy (GE) were calculated using mean values of chemical composition. Therefore, only single calculated values are reported and no standard deviation is available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Comparative radar chart of proximate analyses <bold>(A)</bold>, minerals <bold>(B)</bold>, amino acids <bold>(C)</bold>, fatty acids <bold>(D)</bold>, and vitamins <bold>(E)</bold> in sea buckthorn pomace with seeds (SBPS) and sea buckthorn pomace without seeds (SBPW).</p>
</caption>
<graphic xlink:href="fvets-13-1767594-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Composite figure displaying five radar charts labeled A to E, each comparing SBL, SBPS, and SBPW samples. Chart A shows proximate composition, B presents mineral content, C depicts amino acid profiles, D illustrates fatty acid distributions, and E displays vitamin content.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Percentage fulfillment of daily nutrient requirements in different categories of horses: working horse <bold>(A)</bold>, pregnant mare <bold>(B)</bold>, and lactating mare <bold>(C)</bold>, with 2.5% inclusion of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS), and sea buckthorn pomace without seeds (SBPW) in DMI. Interpretation: &#x003C;2.5%: deficient; &#x2248;2.5%adequate; &#x003E;2.5% rich or, if substantially higher, excessive. ME&#x202F;=&#x202F;metabolizable energy. CP&#x202F;=&#x202F;crude protein, Vit A&#x202F;+&#x202F;bc&#x202F;=&#x202F;vitamin A&#x202F;+&#x202F;hypothetical conversion of carotene to Vitamin A if we assume full conversion.</p>
</caption>
<graphic xlink:href="fvets-13-1767594-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Heatmap visualizations display the percentage of daily nutrient requirements contributed by sea buckthorn samples (SBL, SBPS, and SBPW) when included at 2.5% of dry matter intake (DMI) for working horses (A), pregnant mares (B), and lactating mares (C). Each chart quantifies and color-codes multiple nutrients, with higher fulfillment shown in darker blue.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Percentage fulfillment of daily nutrient requirements in different categories of ruminants: calves <bold>(A)</bold>, heifers weighing 200&#x202F;kg <bold>(B)</bold>, heifers weighing 400&#x202F;kg <bold>(C)</bold>, dairy cows weighing 650&#x202F;kg with 35&#x202F;kg ECM <bold>(D)</bold>, and dry cows <bold>(E)</bold>, with 2.5% inclusion of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS), and sea buckthorn pomace without seeds (SBPW), in DMI. Interpretation: &#x003C;2.5%: deficient; &#x2248;2.5%: adequate; &#x003E;2.5% rich or, if substantially higher, excessive. ME&#x202F;=&#x202F;metabolizable energy. CP&#x202F;=&#x202F;crude protein, Vit A&#x202F;+&#x202F;bc&#x202F;=&#x202F;vitamin A&#x202F;+&#x202F;hypothetical conversion of carotene to itamin A if we assume full conversion.</p>
</caption>
<graphic xlink:href="fvets-13-1767594-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Five heatmaps labeled A&#x2013;E show the percentage of daily nutrient requirements contributed by sea buckthorn samples (SBL, SBPS, and SBPW) when included at 2.5% of dry matter intake (DMI) for calves (A), heifers of two body weights (B, C), lactating dairy cows (D), and dry cows (E). Energy, protein, mineral, and vitamin contributions to daily requirements are color-coded, with darker blue indicating higher percentages of requirements met.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Percentage fulfillment of daily nutrient requirements in different categories of pigs: weaned piglets <bold>(A)</bold>, growing pigs weighing 30&#x2013;60&#x202F;kg <bold>(B)</bold>, finishers weighing 75&#x2013;115&#x202F;kg <bold>(C)</bold>, gilts <bold>(D)</bold>, pregnant sows (early gestation up to 90&#x202F;days) <bold>(E)</bold>, pregnant sows (gestation after 90&#x202F;days) <bold>(F)</bold>, and lactating sows <bold>(G)</bold>, with 2.5% inclusion of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS), and sea buckthorn pomace without seeds (SBPW), in DMI. Interpretation: &#x003C;2.5%: deficient; &#x2248;2.5%&#x2014;adequate; &#x003E;2.5%: rich or, if substantially higher, excessive. ME&#x202F;=&#x202F;metabolizable energy. CP&#x202F;=&#x202F;crude protein, Vit A&#x202F;+&#x202F;bc&#x202F;=&#x202F;vitamin A&#x202F;+&#x202F;hypothetical conversion of carotene to vitamin A if we assume full conversion.</p>
</caption>
<graphic xlink:href="fvets-13-1767594-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Seven heatmaps display daily nutrient fulfilment (%) for various pig groups: (A) weaned piglets, (B) growing pigs, (C) finishers, (D) gilts, (E) pregnant sows under 90 days, (F) pregnant sows over 90 days, and (G) lactating sows. Each panel compares the percentage contribution of sea buckthorn samples (SBL, SBPS, and SBPW) when included at 2.5% of dry matter intake (DMI) toward daily requirements for energy, protein, amino acids, minerals, and vitamins. Nutrient names are shown on the y-axis, and fulfilment values are represented by blue color gradients according to the scale bar.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Percentage fulfillment of daily nutrient requirements in different categories of poultry: laying hens <bold>(A)</bold>, broiler chicken <bold>(B)</bold>, with 2.5% inclusion of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS), and sea buckthorn pomace without seeds (SBPW), in DMI. Interpretation: &#x003C;2.5%: deficient; &#x2248;2.5%&#x2014;adequate; &#x003E;2.5% rich or, if substantially higher, excessive. ME&#x202F;=&#x202F;metabolizable energy. CP&#x202F;=&#x202F;crude protein, Vit A&#x202F;+&#x202F;bc&#x202F;=&#x202F;vitamin A&#x202F;+&#x202F;hypothetical conversion of carotene to vitamin A if we assume full conversion.</p>
</caption>
<graphic xlink:href="fvets-13-1767594-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Heatmaps display the percentage of daily nutrient requirements contributed by sea buckthorn samples (SBL, SBPS, and SBPW) when included at 2.5% of dry matter intake (DMI) for laying hens (A) and broiler chickens (B). Varying intensities of blue indicate the level of contribution to protein, amino acid, mineral, fatty acid and vitamin requirements.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec21">
<label>3.2</label>
<title>Mineral elements</title>
<p>As shown in <xref ref-type="fig" rid="fig1">Figures 1B</xref>, <xref ref-type="fig" rid="fig6">6</xref>, illustrating a variation in mineral composition of samples, SBPW and SBPS had low levels of Ca, Na and Mg, compared to SBL. K levels were consistently high across all samples, with SBPW having the highest levels. Regarding microelements, the most pronounced differences were observed in Fe and Mn concentrations: SBL had nearly double the Fe content compared to both pomaces, with values as high as 143.3&#x202F;mg/kg DM. More strikingly, Mn levels in SBL were approximately 7&#x2013;8 times higher than those in both SBPW and SBPS, highlighting a significant disparity in microelement accumulation between these plant parts. Inclusion of seeds in the pomace increased the amounts of P, Mg, Zn, Cu, and Mn. The biggest difference between SBPW and SBPS was in the Zn and P concentrations. <xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>, <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>, <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref> and <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref> illustrate SB residue&#x2019;s contribution to fulfilling daily mineral requirements at 2.5% DMI inclusion level in horses, ruminants, pigs and poultry. All three SB residues supplied more than 2.5% of the daily K requirements across all animal species and categories. In the case of SBL, contributions also exceeded 2.5% of the daily requirements for Ca, Fe, Mn, and Mg. Cu concentration in SBPS was close or met 2.5% of the daily requirements for most animals&#x2019; groups. The contributions of other minerals to animals&#x2019; daily requirements were below the expected 2.5%.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Content of macroelements <bold>(A)</bold> and microelements <bold>(B)</bold> of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS), and sea buckthorn pomace without seeds (SBPW) (<italic>n</italic>&#x202F;=&#x202F;3). Values within a column with different superscript letters are significantly different (Tukey&#x2019;s HSD test, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</caption>
<graphic xlink:href="fvets-13-1767594-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Panel A contains five bar graphs comparing calcium, phosphorus, sodium, potassium, and magnesium concentrations in SBL, SBPS, and SBPW samples, with statistically significant differences denoted by different superscript letters. Panel B displays five bar graphs comparing iron, copper, manganese, zinc, and molybdenum concentrations across the same three sample types, again indicating statistically significant differences with superscript letters. Error bars represent standard error, and statistical significance was determined by Tukey&#x2019;s HSD test, p less than 0.05.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec22">
<label>3.3</label>
<title>Amino acids</title>
<p>Among the amino acids identified in SB residues, aspartic and glutamic acid consistently showed the highest concentrations (<xref ref-type="table" rid="tab2">Table 2</xref>; <xref ref-type="fig" rid="fig1">Figure 1C</xref>). Proline was present in high amounts in SBL. Additionally, SBPS contained exceptionally high levels of arginine. The highest amounts of essential and non-essential amino acids were found in SBPS, and the lowest in SBPW, reflecting their CP content. Regarding other essential amino acids, leucine and lysine were consistently high among all three SB residues, while methionine and tryptophan were the most deficient, indicating that they are limiting in these by-products. Fulfillment of daily amino acid requirements, at 2.5% DMI inclusion for all three residues can be seen in <xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>, <xref ref-type="fig" rid="fig3">Figure 3A</xref>, <xref ref-type="fig" rid="fig4">Figures 4A&#x2013;G</xref> and <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Amino acid profile (average&#x202F;&#x00B1;&#x202F;SD) of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS) and sea buckthorn pomace without seeds (SBPW) expressed as g/kg DM.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Amino acid</th>
<th align="center" valign="top">SBL (<italic>n</italic>&#x202F;=&#x202F;3)</th>
<th align="center" valign="top">SBPS (<italic>n</italic>&#x202F;=&#x202F;3)</th>
<th align="center" valign="top">SBPW (<italic>n</italic>&#x202F;=&#x202F;4)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="4">Essential amino acids</td>
</tr>
<tr>
<td align="left" valign="top">Histidine (E)</td>
<td align="char" valign="top" char="&#x00B1;">3.5 &#x00B1; 0.07<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">5.6 &#x00B1; 0.12<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">2.5 &#x00B1; 0.06<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Arginine (CE)<xref ref-type="table-fn" rid="tfn3"><sup>1</sup></xref></td>
<td align="char" valign="top" char="&#x00B1;">6.0 &#x00B1; 0.43<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">31.4 &#x00B1; 2.35<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">4.1 &#x00B1; 0.11<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">Threonine (E)</td>
<td align="char" valign="top" char="&#x00B1;">7.2 &#x00B1; 0.46<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">8.5 &#x00B1; 0.59<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">4.3 &#x00B1; 0.13<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Methionine (E)</td>
<td align="char" valign="top" char="&#x00B1;">1.7 &#x00B1; 0.06<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">1.4 &#x00B1; 0.08<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.9 &#x00B1; 0.06<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Valine (E)</td>
<td align="char" valign="top" char="&#x00B1;">6.9 &#x00B1; 0.47<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">6.4 &#x00B1; 0.26<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">4.4 &#x00B1; 0.20<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">Tryptophan (E)</td>
<td align="char" valign="top" char="&#x00B1;">1.1 &#x00B1; 0.16<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">2.3 &#x00B1; 0.17<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.8 &#x00B1; 0.04<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Phenylalanine (E)</td>
<td align="char" valign="top" char="&#x00B1;">7.6 &#x00B1; 0.45<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">8.8 &#x00B1; 0.47<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">3.3 &#x00B1; 0.12<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Isoleucine (E)</td>
<td align="char" valign="top" char="&#x00B1;">5.1 &#x00B1; 0.35<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">5.4 &#x00B1; 0.31<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">1.5 &#x00B1; 0.13<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">Leucine (E)</td>
<td align="char" valign="top" char="&#x00B1;">11.9 &#x00B1; 0.65<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">16.8 &#x00B1; 0.91<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">5.9 &#x00B1; 0.28<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Lysine (E)</td>
<td align="char" valign="top" char="&#x00B1;">10.2 &#x00B1; 0.57<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">11.3 &#x00B1; 0.79<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">4.8 &#x00B1; 0.31<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Non-essential amino acids</td>
</tr>
<tr>
<td align="left" valign="top">Serine (NE/CE)<xref ref-type="table-fn" rid="tfn4"><sup>2</sup></xref></td>
<td align="char" valign="top" char="&#x00B1;">8.9 &#x00B1; 0.65<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">15.9 &#x00B1; 1.09<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">4.4 &#x00B1; 0.15<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Aspartic acid (NE)</td>
<td align="char" valign="top" char="&#x00B1;">19.9 &#x00B1; 1.43<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">34.6 &#x00B1; 2.55<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">20.6 &#x00B1; 0.26<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">Glutamic acid (NE)</td>
<td align="char" valign="top" char="&#x00B1;">13.0 &#x00B1; 1.25<sup>c</sup></td>
<td align="char" valign="top" char="&#x00B1;">39.0 &#x00B1; 5.22<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">19.6 &#x00B1; 0.58<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">Glycine (NE/CE)<xref ref-type="table-fn" rid="tfn5"><sup>3</sup></xref></td>
<td align="char" valign="top" char="&#x00B1;">7.7 &#x00B1; 0.54<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">12.0 &#x00B1; 0.93<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">4.6 &#x00B1; 0.15<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Alanine (NE)</td>
<td align="char" valign="top" char="&#x00B1;">7.4 &#x00B1; 0.28<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">10.7 &#x00B1; 0.78<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">4.5 &#x00B1; 0.11<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Proline (NE/CE)<xref ref-type="table-fn" rid="tfn6"><sup>4</sup></xref></td>
<td align="char" valign="top" char="&#x00B1;">13.8 &#x00B1; 0.75<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">9.2 &#x00B1; 0.36<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">3.6 &#x00B1; 0.24<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Tyrosine (NE/CE)<xref ref-type="table-fn" rid="tfn7"><sup>5</sup></xref></td>
<td align="char" valign="top" char="&#x00B1;">5.8 &#x00B1; 0.38<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">6.9 &#x00B1; 0.42<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">3.8 &#x00B1; 0.10<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">Cysteine (NE/CE)<xref ref-type="table-fn" rid="tfn8"><sup>6</sup></xref></td>
<td align="char" valign="top" char="&#x00B1;">1.7 &#x00B1; 0.22<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">2.3 &#x00B1; 0.09<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">1.5 &#x00B1; 0.11<sup>b</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Values within a column with different superscript letters are significantly different (Tukey&#x2019;s HSD test, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<fn id="tfn3">
<label>1</label>
<p>Arginine is essential for pigs and poultry and conditionally essential for horses and young animals. It is not considered essential for cattle.</p>
</fn>
<fn id="tfn4">
<label>2</label>
<p>Serine is conditionally essential in young or rapidly growing animals.</p>
</fn>
<fn id="tfn5">
<label>3</label>
<p>Glycine is semi-essential for young or rapidly growing pigs and young poultry.</p>
</fn>
<fn id="tfn6">
<label>4</label>
<p>Proline is conditionally essential (CE) for young or rapidly growing animals, particularly foals and piglets.</p>
</fn>
<fn id="tfn7">
<label>5</label>
<p>Tyrosine is conditionally essential when phenylalanine is limiting.</p>
</fn>
<fn id="tfn8">
<label>6</label>
<p>Cysteine is conditionally essential when methionine is limiting.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec23">
<label>3.4</label>
<title>Fatty acids</title>
<p>Palmitic and palmitoleic acids were present at relatively high proportions in all three residues, but levels were significantly lower in SBL&#x2014;due to its lower fat content&#x2014;and considerably higher in SBPW (<xref ref-type="table" rid="tab3">Table 3</xref>). Additionally, all residues proved to be notable sources of linoleic acid (LA), an omega-6 (n-6) fatty acid, with comparable concentrations in both SBPW and SBPS. In contrast, &#x03B1;-linolenic acid (ALA), an omega-3 (n-3) fatty acid, was higher in SBPS compared to SBPW. Palmitic acid was the most prominent fatty acid in SBL, palmitoleic acid in SBPW, and LA in SBPS.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Fatty acid composition (average&#x202F;&#x00B1;&#x202F;SD) of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS) and sea buckthorn pomace without seeds (SBPW), expressed as g/kg DM.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Fatty acid</th>
<th align="center" valign="top">SBL<break/><italic>n</italic>&#x202F;=&#x202F;3</th>
<th align="center" valign="top">SBPS<break/><italic>n</italic>&#x202F;=&#x202F;3</th>
<th align="center" valign="top">SBPW<break/><italic>n</italic>&#x202F;=&#x202F;3</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">C14:0</td>
<td align="char" valign="top" char="&#x00B1;">0.04 &#x00B1; 0.003<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.04 &#x00B1; 0.001<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.11 &#x00B1; 0.007<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C15:0</td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.001<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.006<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.008<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C16:0</td>
<td align="char" valign="top" char="&#x00B1;">0.57 &#x00B1; 0.032<sup>c</sup></td>
<td align="char" valign="top" char="&#x00B1;">2.08 &#x00B1; 0.072<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">5.82 &#x00B1; 0.719<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C16:1c7</td>
<td align="char" valign="top" char="&#x00B1;">0.03 &#x00B1; 0.000<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.001<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.003<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">C16:1c9</td>
<td align="char" valign="top" char="&#x00B1;">0.17 &#x00B1; 0.003<sup>c</sup></td>
<td align="char" valign="top" char="&#x00B1;">1.75 &#x00B1; 0.079<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">6.00 &#x00B1; 0.731<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C17:0</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.002<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000 <sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000 <sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C17:1c10</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.001<sup>c</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.05 &#x00B1; 0.045 <sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.15 &#x00B1; 0.128 <sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C18:0</td>
<td align="char" valign="top" char="&#x00B1;">0.05 &#x00B1; 0.003<sup>c</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.18 &#x00B1; 0.007<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.16 &#x00B1; 0.003<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">C18:1c9</td>
<td align="char" valign="top" char="&#x00B1;">0.15 &#x00B1; 0.011<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.89 &#x00B1; 0.043<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.85 &#x00B1; 0.145<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C18:1c11</td>
<td align="char" valign="top" char="&#x00B1;">0.06 &#x00B1; 0.004<sup>c</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.44 &#x00B1; 0.010<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">1.04 &#x00B1; 0.093<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C18:2c/t+</td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.007<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.005<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.007<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C18:2n6, Essential fatty acid</td>
<td align="char" valign="top" char="&#x00B1;">0.17 &#x00B1; 0.009<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">2.46 &#x00B1; 0.191<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">2.48 &#x00B1; 0.088<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C18:3n6</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000</td>
</tr>
<tr>
<td align="left" valign="top">C20:0</td>
<td align="char" valign="top" char="&#x00B1;">0.05 &#x00B1; 0.001<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.04 &#x00B1; 0.000<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.04 &#x00B1; 0.005<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C18:3n3, Essential fatty acid</td>
<td align="char" valign="top" char="&#x00B1;">0.20 &#x00B1; 0.031<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">1.39 &#x00B1; 0.178<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.31 &#x00B1; 0.019<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">C20:1c11</td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.003<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.02 &#x00B1; 0.007<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.03 &#x00B1; 0.007<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C18:4n3</td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.006<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.002<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.011 <sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C21:0</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000</td>
</tr>
<tr>
<td align="left" valign="top">C20:2n6</td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.000<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.01 &#x00B1; 0.003<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.02 &#x00B1; 0.009 <sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C22:0</td>
<td align="char" valign="top" char="&#x00B1;">0.11 &#x00B1; 0.002<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.02 &#x00B1; 0.003<sup>c</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.04 &#x00B1; 0.001<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">C23:0</td>
<td align="char" valign="top" char="&#x00B1;">0.02 &#x00B1; 0.018<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.004 <sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.00 &#x00B1; 0.003 <sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">C24:0</td>
<td align="char" valign="top" char="&#x00B1;">0.04 &#x00B1; 0.001<sup>a</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.02 &#x00B1; 0.004<sup>b</sup></td>
<td align="char" valign="top" char="&#x00B1;">0.04 &#x00B1; 0.003<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">SFA, %</td>
<td align="char" valign="top" char="&#x00B1;">52.38 &#x00B1; 1.95</td>
<td align="char" valign="top" char="&#x00B1;">25.74 &#x00B1; 0.159</td>
<td align="char" valign="top" char="&#x00B1;">36.25 &#x00B1; 0.383</td>
</tr>
<tr>
<td align="left" valign="top">MUFA, %</td>
<td align="char" valign="top" char="&#x00B1;">24.61 &#x00B1; 0.25</td>
<td align="char" valign="top" char="&#x00B1;">33.72 &#x00B1; 0.708</td>
<td align="char" valign="top" char="&#x00B1;">47.14 &#x00B1; 0.988</td>
</tr>
<tr>
<td align="left" valign="top">PUFA</td>
<td align="char" valign="top" char="&#x00B1;">23.01 &#x00B1; 2.20</td>
<td align="char" valign="top" char="&#x00B1;">40.87 &#x00B1; 1.414</td>
<td align="char" valign="top" char="&#x00B1;">16.61 &#x00B1; 1.369</td>
</tr>
<tr>
<td align="left" valign="top">Total trans</td>
<td align="char" valign="top" char="&#x00B1;">0.74 &#x00B1; 0.02</td>
<td align="char" valign="top" char="&#x00B1;">0.10 &#x00B1; 0.003</td>
<td align="char" valign="top" char="&#x00B1;">0.07 &#x00B1; 0.012</td>
</tr>
<tr>
<td align="left" valign="top">n6, %</td>
<td align="char" valign="top" char="&#x00B1;">10.28 &#x00B1; 0.83</td>
<td align="char" valign="top" char="&#x00B1;">26.06 &#x00B1; 0.377</td>
<td align="char" valign="top" char="&#x00B1;">14.65 &#x00B1; 1.127</td>
</tr>
<tr>
<td align="left" valign="top">n3, %</td>
<td align="char" valign="top" char="&#x00B1;">12.24 &#x00B1; 1.80</td>
<td align="char" valign="top" char="&#x00B1;">14.73 &#x00B1; 1.077</td>
<td align="char" valign="top" char="&#x00B1;">1.91 &#x00B1; 0.276</td>
</tr>
<tr>
<td align="left" valign="top">n6/n3 ratio</td>
<td align="char" valign="top" char="&#x00B1;">0.85 &#x00B1; 0.05</td>
<td align="char" valign="top" char="&#x00B1;">1.77 &#x00B1; 0.100</td>
<td align="char" valign="top" char="&#x00B1;">7.71 &#x00B1; 0.496</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Values within a column with different superscript letters are significantly different (Tukey&#x2019;s HSD test, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<p>C14:0&#x2014;myristic acid; C15:0&#x2014;pentadecylic acid; C16:0&#x2014;palmitic acid; C16:1c7&#x2014;cis-7-hexadecenoic acid; C16:1c9&#x2014;palmitoleic acid, cis-9-hexadecanoic acid; C17:0&#x2014;margaric acid; C17:1c10&#x2014;Cis-10 heptadecenoic; C18.0&#x2014;stearic acid; C18:1c9&#x2014;oleic acid, trans-9; C18:1c11&#x2014;vaccenic acid; C18:2c/t+&#x2014;Total linoleic-type fatty acids (cis + trans isomers combined); C18:2n6&#x2014;linoleic acid; C18:3n6&#x2014;gamma-linolenic acid, C20:0&#x2014;arachidic acid; C18:3n3&#x2014;alpha-linolenic acid; C20:1c11&#x2014;Gondoic acid; C18:4n3-stearidonic acid; C21:0 heneicosanoic acid; C20:2n6&#x2014;eicosadienoic acid; C22&#x2014;behenic acid; C23:0&#x2014;tricosanoic acid; C24:0&#x2014;lignoceric acid.</p>
</table-wrap-foot>
</table-wrap>
<p>SBL had a high proportion of saturated fatty acids (SFA). In contrast, both pomaces contained higher proportions of unsaturated fatty acids: monounsaturated (MUFA) and polyunsaturated fatty acids (PUFA) than SFAs. Regarding the n6:n3 ratio, SBPW had the highest proportion of n6 fatty acids, with a ratio of 7.7:1. In contrast, SBL had the lowest proportion of n6 fatty acids compared to n3, resulting in a ratio below 1. For SBPS, the ratio was 1.77:1, indicating a slightly higher proportion of n6 than n3 fatty acids. Regarding the fulfillment of daily LA requirements in pig categories, at 2.5% DMI inclusion, SBPW and SBPS exceeded the expected 2.5% contribution, whereas SBL did not meet this level (<xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref>). In poultry, however, all three residues supplied less than 2.5% of the daily LA requirement (<xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>).</p>
</sec>
<sec id="sec24">
<label>3.5</label>
<title>Vitamins</title>
<p>All three SB residues had high concentrations of vitamin E, with SBPW containing the highest levels (<xref ref-type="table" rid="tab4">Table 4</xref>). Moreover, both pomaces showed higher &#x03B2;-carotene contents, consistent with their characteristic orange pigmentation. However, SBPS had lower &#x03B2;-carotene levels than SBPW, likely due to dilution by the presence of the seeds. The results also indicate that seeds contribute to higher concentrations of vitamins B<sub>1</sub>, B<sub>2</sub>, B<sub>3</sub>, and B<sub>6</sub>, compared to SBPW. While all three residues exhibited high pyridoxine concentrations, the highest levels were observed in SBL. In contrast, vitamin B<sub>5</sub> was not detected in SBL. When it comes to fulfillment of daily requirements, the contribution of SB residues&#x2019; vitamin content to animals&#x2019; daily requirements is presented in <xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>, <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>, <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref> and <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>. The combined content of vitamin A and &#x03B2;-carotene, assuming complete conversion of &#x03B2;-carotene to vitamin A, in all three SB residues substantially exceeded the daily vitamin A requirements of all categories of horses, ruminants (except SBL&#x2019;s content of vitamin A and &#x03B2;-carotene in dry cows, <xref ref-type="fig" rid="fig3">Figure 3E</xref>), pigs (except SBL where the contribution of the combined content of vitamin A and &#x03B2;-carotene, was below 2.5% of daily requirements) and poultry. Similarly, due to the high vitamin E concentrations in all three SB materials, the set 2.5% of daily requirements was considerably exceeded across all animal categories. In SBPS, all B vitamins (B<sub>1</sub>&#x2013;B<sub>6</sub>) supplied more than 2.5% of the daily requirements across species, while pyridoxine (vitamin B<sub>6</sub>) concentrations of all studied SB residues contributed more than 2.5% of the animals&#x2019; daily needs. In SBL, riboflavin (vitamin B<sub>2</sub>) and niacin (vitamin B<sub>3</sub>) met or were close to the 2.5% requirement contribution threshold.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Vitamin profile of sea buckthorn leaves (SBL), sea buckthorn pomace with seeds (SBPS) and sea buckthorn pomace without seeds (SBPW), expressed as mg/kg DM.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Vitamin</th>
<th align="center" valign="top">SBL<break/><italic>n</italic>&#x202F;=&#x202F;1</th>
<th align="center" valign="top">SBPS<break/><italic>n</italic>&#x202F;=&#x202F;1</th>
<th align="center" valign="top">SBPW<break/><italic>n</italic>&#x202F;=&#x202F;1</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Vitamin A, retinol</td>
<td align="char" valign="top" char=".">&#x003C;0.02<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref><sup>,</sup><xref ref-type="table-fn" rid="tfn10"><sup>2</sup></xref></td>
<td align="char" valign="top" char=".">&#x003C;0.05<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref><sup>,</sup><xref ref-type="table-fn" rid="tfn10"><sup>2</sup></xref></td>
<td align="char" valign="top" char=".">&#x003C;0.02<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref><sup>,</sup><xref ref-type="table-fn" rid="tfn10"><sup>2</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">&#x03B2;-carotene</td>
<td align="char" valign="top" char=".">11.5</td>
<td align="char" valign="top" char=".">151.3</td>
<td align="char" valign="top" char=".">257.9</td>
</tr>
<tr>
<td align="left" valign="top">Vitamin D, tocopherol</td>
<td align="char" valign="top" char=".">&#x003C;0.01<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref><sup>,</sup><xref ref-type="table-fn" rid="tfn11"><sup>3</sup></xref></td>
<td align="char" valign="top" char=".">&#x003C;0.005<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref><sup>,</sup><xref ref-type="table-fn" rid="tfn11"><sup>3</sup></xref></td>
<td align="char" valign="top" char=".">&#x003C;0.01<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref><sup>,</sup><xref ref-type="table-fn" rid="tfn11"><sup>3</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Vitamin E, calciferol</td>
<td align="char" valign="top" char=".">335.4</td>
<td align="char" valign="top" char=".">378.0</td>
<td align="char" valign="top" char=".">720.5</td>
</tr>
<tr>
<td align="left" valign="top">Vitamin B<sub>1</sub>, thiamine</td>
<td align="char" valign="top" char=".">&#x003C;0.1<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref><sup>,</sup><xref ref-type="table-fn" rid="tfn12"><sup>4</sup></xref></td>
<td align="char" valign="top" char=".">9.08</td>
<td align="char" valign="top" char=".">&#x003C;0.1<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref><sup>,</sup><xref ref-type="table-fn" rid="tfn12"><sup>4</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Vitamin B<sub>2</sub>, riboflavin</td>
<td align="char" valign="top" char=".">3.1</td>
<td align="char" valign="top" char=".">11.2</td>
<td align="char" valign="top" char=".">0.4</td>
</tr>
<tr>
<td align="left" valign="top">Vitamin B<sub>3</sub>, niacin</td>
<td align="char" valign="top" char=".">32.5</td>
<td align="char" valign="top" char=".">39.7</td>
<td align="char" valign="top" char=".">4.3</td>
</tr>
<tr>
<td align="left" valign="top">Vitamin B<sub>5</sub>, pantothenic acid</td>
<td align="char" valign="top" char=".">0.0</td>
<td align="char" valign="top" char=".">14.2</td>
<td align="char" valign="top" char=".">14.3</td>
</tr>
<tr>
<td align="left" valign="top">Vitamin B<sub>6</sub>, pyridoxine</td>
<td align="char" valign="top" char=".">22.9</td>
<td align="char" valign="top" char=".">13.1</td>
<td align="char" valign="top" char=".">7.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn9">
<label>1</label>
<p>Values shown as &#x201C;&#x003C;&#x201D; are below the analytical limit of detection (LOD).</p>
</fn>
<p>Vitamin concentration below the limit were not converted to mg/kg DM but remained as mg/kg.</p>
<fn id="tfn10">
<label>2</label>
<p>For vitamin A, the LOD was 0.01&#x202F;&#x03BC;g/g for all samples except SBPS (0.05&#x202F;&#x03BC;g/g).</p>
</fn>
<fn id="tfn11">
<label>3</label>
<p>For vitamin D, the LOD was 0.01 &#x03BC;g/g for all samples except SBPS (0.005 &#x03BC;g/g), as SBPS was measured later.</p>
</fn>
<fn id="tfn12">
<label>4</label>
<p>The LOD for vitamin B<sub>1</sub> was 0.1&#x202F;&#x03BC;g/g for all samples.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec25">
<label>4</label>
<title>Discussion</title>
<sec id="sec26">
<label>4.1</label>
<title>Proximate analyses</title>
<p>Proximate analyses provide fundamental information on the nutritional profile of a feed ingredient. In this study, proximate composition of SB residues differed from previous reports (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref56">56</xref>, <xref ref-type="bibr" rid="ref57">57</xref>) and varied markedly among materials, with the highest fat levels in SBPW, the highest crude protein in SBPS, and the lowest organic matter observed in SBL. These compositional differences suggest that each residue offers distinct nutritional advantages, SBPW as an energy source, SBPS as a protein supplement, and SBL as a mineral-rich ingredient.</p>
<p>Although SBPS had higher CP content compared to SBPW, indicating that seed fraction contributes considerably to the protein content, whole seeds may pass undigested through digestive tract and require grinding for improved nutrient availability, much like cereal grains (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref59">59</xref>). SBL&#x2019;s protein composition aligned with expectations for foliage. Despite differences observed in protein content, all three materials fulfilled the required minimal CP amount of 70&#x202F;g/kg DM for microbial protein synthesis according to Van Soest (<xref ref-type="bibr" rid="ref60">60</xref>) and the NRC (<xref ref-type="bibr" rid="ref61">61</xref>). SBPS exceeded 2.5% of the daily protein requirements for most animal species, whereas SBPW contributed the least, indicating that it would need to be carefully balanced with high-protein ingredients. However, high ADIP values, found in all three SB residues, suggest that a portion of protein in these by-products is likely bound to fiber or altered by Maillard reactions, reducing its digestibility and amino acid bioavailability. Such interactions can limit the effective contribution of these materials to dietary protein supply, highlighting the need to consider both processing conditions and complementary protein sources in feed formulation. Moreover, SBPS showed lower ADIP values compared to SBPW, suggesting that the seed fraction of the material contains higher-quality protein. ADIP concentrations have not previously been reported in sea buckthorn leaves and pomaces, making the comparison with our results difficult. Still, interpretation of ADIP should be done carefully, as this method can both over or underestimate protein digestibility. In non-forage, heat processed feed materials, ADIP has been reported to overestimate protein indigestibility, as results have shown that much of the protein fraction considered indigestible was in fact rumen degradable (<xref ref-type="bibr" rid="ref62">62</xref>, <xref ref-type="bibr" rid="ref63">63</xref>). Discrepancies can also arise during the analytical process, such as nitrogen contamination from Cetrimonium bromide during ADF analysis (<xref ref-type="bibr" rid="ref64">64</xref>). It is important to note that ADIP in SB residues was higher than typically reported for conventional feed ingredients as reported by Mc Donald et al. (<xref ref-type="bibr" rid="ref37">37</xref>) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S8</xref>).</p>
<p>In relation to lipid composition, EE content was higher in SBPW than in SBPS, contrary to expectations that inclusion of seeds would boost fat levels. This outcome is likely a result of carotenoid-rich lipids present in the pomace fraction of SB (<xref ref-type="bibr" rid="ref65">65</xref>).</p>
<p>High CF observed in residues is especially relevant for poultry and weaned piglets as these species have a limited ability to digest fiber, and excess fiber levels in their diet might result in reduced nutrient availability. At the same time, dietary fiber offers benefits in these species: soluble fiber supports gut health and the maintenance of the intestinal barrier, while insoluble fiber increases fecal bulk, aiding stool management (<xref ref-type="bibr" rid="ref66">66</xref>). High CF diets are associated with different positive metabolic effects and a diverse, healthy microbiota (<xref ref-type="bibr" rid="ref67">67</xref>). Additionally, older categories of pigs have a greater ability to digest fiber. Despite this capacity remaining limited, high-fiber diets in group-housed gestating sows increase the feeling of satiety, reduce the hunger and therefore decrease aggressive and stereotypic behavior (<xref ref-type="bibr" rid="ref68">68</xref>). Accordingly, high-CF ingredients have been progressively included in the diets of these animals, although careful control of their intake remains necessary. Apart from CF, SB residues showed high levels of NFE- indicating that carbohydrates constitute the major component of the DM of these samples. Carbohydrates play essential roles in animal metabolism&#x2013;monosaccharides provide immediate energy while polysaccharides serve as structural components in plant cell walls and as energy storage in plant tissues (<xref ref-type="bibr" rid="ref57">57</xref>). Starch content was very low in SBP, which is consistent with findings from previous studies, likely due to juice extraction and naturally low starch in ripe fruits (<xref ref-type="bibr" rid="ref69 ref70 ref71">69&#x2013;71</xref>). SBL also exhibited very low starch concentrations. Starch content has not been previously evaluated in SBL, making direct comparison with earlier studies impossible. Further research into the carbohydrate composition in SB by-products is required.</p>
<p>ME values of SB residues varied across species and the by-products themselves due to differences in digestive physiology of animals and by-products&#x2019; composition. SBPW provided a relatively higher energy contribution compared to the other two residues and many conventional feed ingredients, particularly in broilers (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S7</xref>). It met the proportional 2.5% daily ME requirements across most animal species, except weaned piglets, as can be seen in <xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>, <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>, <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref> and <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>, whereas SBL contributed the least. However, it is important to note that the reported ME values have limitations. Fiber utilization in pigs improves with body weight, so in general it is advisable to report separate ME values of feeds for growing and adult pigs (<xref ref-type="bibr" rid="ref72">72</xref>). However, this was not applied in this study, possibly causing under- or overestimation of ME in certain pig categories. Moreover, the AMEn prediction equation was originally developed for male broilers, therefore, applying it for laying hens might be unreliable. Lastly, all obtained ME values were acquired using prediction equations and may not reflect the material&#x2019;s true species-specific energy contents. Future research is necessary to acquire more accurate values. In light of these factors, it is important to interpret the reported ME values carefully.</p>
</sec>
<sec id="sec27">
<label>4.2</label>
<title>Minerals</title>
<p>Mineral analyses are important to evaluate the nutritional value, safety, and suitability of materials as feed sources. In the present investigation, the mineral composition of SB residues differed notably from earlier reports (<xref ref-type="bibr" rid="ref73">73</xref>, <xref ref-type="bibr" rid="ref74">74</xref>). Overall, none of the residues supplied adequate Na or Zn at a 2.5% DMI inclusion rate, while K was consistently high and Ca, Mg, and P varied sharply among materials. These patterns suggest that although SB residues can complement certain minerals, they cannot serve as primary mineral sources and must be balanced within complete diets.</p>
<p>Across all three residues, Na and Zn contributed less than 2.5% of daily requirements. Although Na and Zn deficiencies are unlikely in practical diets due to routine supplementation, it is noteworthy that Zn concentrations in the residues were lower than in conventional feed ingredients such as cereals, legumes, oilseed by-products and roughages (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S9</xref>) (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>).</p>
<p>Potassium concentrations were relatively high and exceeded 2.5% of daily K requirements in most species at a 2.5% inclusion rate. However, SB potassium levels were still lower than in most forages and oilseed by-products and comparable to cereals (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S9</xref>), making excessive K intake unlikely. Nonetheless, high dietary K can interfere with Mg and Ca absorption, and especially in ruminants and transition cows, can predispose animals to hypocalcemia and hypomagnesemia (<xref ref-type="bibr" rid="ref75">75</xref>, <xref ref-type="bibr" rid="ref76">76</xref>). High K intake also affects Na metabolism. Thus, total dietary K load should be considered when SB residues are included in diets.</p>
<p>Both pomaces were low in Mg, particularly SBPW, which contained less Mg than any conventional feed ingredient such as forages, cereals, etc., whereas SBL proved to be a comparatively good Mg source (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S9</xref>). Ca concentrations in SBL were also high and comparable to legumes, meeting or exceeding 2.5% of daily Ca requirements in most species at a 2.5% inclusion rate (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S9</xref>; <xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>; <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>; <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref>; <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>). Laying hens were the exception due to their exceptionally high Ca demand for eggshell formation (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). In contrast, Ca levels in SBPW and SBPS were low, similar to cereals, and insufficient for most species (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S9</xref>). Phosphorus concentrations were deficient in SBPW and SBL and adequate or only slightly deficient in SBPS for most species (<xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>; <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>; <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref>; <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>). However, these estimates do not account for the low bioavailability of P in monogastrics, as most plant-derived P exists as phytate, which is largely indigestible (<xref ref-type="bibr" rid="ref77">77</xref>, <xref ref-type="bibr" rid="ref78">78</xref>). Even in ruminants, microbial phytase does not completely degrade phytate, reducing P absorption (<xref ref-type="bibr" rid="ref76">76</xref>). Phytate also binds Ca, Fe, and Zn, further lowering their bioavailability in monogastrics unless exogenous phytase is supplemented (<xref ref-type="bibr" rid="ref79">79</xref>). In addition, maintaining an appropriate Ca:P ratio is essential across species, as imbalances can impair bone development, reduce growth, and cause metabolic disorders (<xref ref-type="bibr" rid="ref76">76</xref>, <xref ref-type="bibr" rid="ref80">80</xref>).</p>
<p>SBL also contained elevated Fe and Mn levels, exceeding 2.5% of daily requirements for most species at 2.5% inclusion (<xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>; <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>; <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref>; <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>). Weaned piglets were an exception, as their Fe needs are unusually high due to low Fe reserves at birth, the very low Fe content of sow milk, and the demands of large litters (<xref ref-type="fig" rid="fig4">Figure 4A</xref>) (<xref ref-type="bibr" rid="ref81">81</xref>). SBPW and SBPS contained substantially lower Fe and Mn, more closely resembling conventional cereals (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S9</xref>). All SB residues at 2.5% inclusion failed to meet 2.5% of daily Cu requirements for horses and ruminants, although SBPS approached the threshold in some categories (<xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>; <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>). In pigs and laying hens, Cu concentrations in SBPS, and to a lesser extent SBPW, approached or exceeded daily needs (<xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref>; <xref ref-type="fig" rid="fig5">Figure 5A</xref>). However, Cu adequacy or toxicity risk depends more on bioavailability than on total concentration, as absorption is strongly reduced by antagonists such as sulfur, molybdenum, and iron (<xref ref-type="bibr" rid="ref82">82</xref>, <xref ref-type="bibr" rid="ref83">83</xref>). In the context of SB residues, Mo levels were very low and would not be expected to inhibit Cu absorption, although the high Fe content of SBL could reduce Cu utilization if fed at higher inclusion rates. Importantly, mineral antagonisms arise from the total dietary composition rather than a single ingredient; thus, overall diet formulation must consider the cumulative balance of interacting minerals.</p>
</sec>
<sec id="sec28">
<label>4.3</label>
<title>Amino acids</title>
<p>Amino acid (AA) analysis provides insight into the protein quality and biological value of feed materials beyond crude protein content, as AA are essential for growth, reproduction and immune and metabolic processes in animals (<xref ref-type="bibr" rid="ref84">84</xref>, <xref ref-type="bibr" rid="ref85">85</xref>). In this study, AA profiles of SB residues showed little variations compared with previous reports (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref57">57</xref>), though higher methionine and lower proline were previously noted. Methionine was consistently low in SB residues. In fact, it was the first limiting amino acid in SBPS, while tryptophan was in SBL and SBPW. SBPW supplied insufficient essential AAs for most animal categories, particularly poultry. In contrast, SBL and SBPS exhibited more balanced AA profiles, in fact, in pregnant sows, all essential AAs met or exceeded 2.5% of their daily requirements (<xref ref-type="fig" rid="fig4">Figures 4E</xref>,<xref ref-type="fig" rid="fig4">F</xref>). In weaned piglets, SB residues contributed the least to AA daily requirements (<xref ref-type="fig" rid="fig4">Figure 4A</xref>). SBPS was particularly rich in arginine, serine, and aspartic acid, while SBL contained high proline concentrations. Across all three SB residues, histidine, phenylalanine, leucine, phenylalanine + tyrosine and threonine contributed most to the daily amino acid requirements in all of the studied animal species and categories (<xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>, <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>, <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref> and <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>).</p>
<p>Methionine deficiency may impair sulfur and methyl group metabolism, antioxidant balance, and protein synthesis (<xref ref-type="bibr" rid="ref86">86</xref>). Its supplementation would be required if these materials were to be incorporated into animals&#x2019; diets. The high arginine content in SBPS, an essential amino acid for weaned piglets and poultry, could support growth, immune function, and reproduction of animals (<xref ref-type="bibr" rid="ref87 ref88 ref89">87&#x2013;89</xref>). Additionally, high serine and aspartic acids, also observed in SBPS, could contribute to antioxidant defense, intestinal integrity, and energy metabolism (<xref ref-type="bibr" rid="ref90 ref91 ref92">90&#x2013;92</xref>). Due to their antioxidant properties, these AAs could benefit animals exposed to oxidative challenges, (such as during transport, weaning, pregnancy, vaccination, or disease) as well as animals fed low-protein diets. However, since both serine and aspartic acid are non-essential amino acids, that can be synthesized endogenously, the nutritional advantage of their high concentrations in SBPS is limited. Meanwhile, SBL exhibited high proline concentrations, even when compared to other protein-rich ingredients such as oilseed by-products (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S10</xref>). Proline supports collagen formation, intestinal growth, and oxidative protection (<xref ref-type="bibr" rid="ref93">93</xref>, <xref ref-type="bibr" rid="ref94">94</xref>). It is conditionally essential for weaned piglets and may also benefit animals under metabolic or oxidative strain (<xref ref-type="bibr" rid="ref95">95</xref>, <xref ref-type="bibr" rid="ref96">96</xref>).</p>
<p>SBL and SBPS could serve as supplementary protein sources for pigs and other livestock, although methionine and tryptophan supplementation would be required. However, inclusion rates may be limited by fiber or palatability. Evaluating performance responses <italic>in vivo</italic> would clarify whether its apparent amino acid balance translates into improved nitrogen efficiency and growth. The balanced AA composition of SBPS relative to its CP, even compared with higher-protein ingredients such as oilseed by-products, suggests potential for inclusion of this by-product in reduced-protein diets aimed at minimizing nitrogen excretion without compromising performance (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S10</xref>). In case of SBPW, amino acid supplementation would be needed to maintain protein turnover and antioxidant protection, particularly in the fast-growing animals.</p>
<p>However, fulfillment of amino acid daily requirements, should be interpreted carefully, as they assume 100% digestibility and neglect matrix effects, while in practice amino acid availability might be considerably reduced, depending on the species, processing conditions and presence of antinutritional compounds (<xref ref-type="bibr" rid="ref97">97</xref>, <xref ref-type="bibr" rid="ref98">98</xref>). Just based on ADIP content, AA availability of these residues is expected to be substantially reduced. Actual AA bioavailability and absorption in different animal species and categories warrant further investigation. Moreover, while total daily amino acid requirements were used for pigs, the comparison for poultry was based on digestible amino acid daily requirements from McDonald et al. (<xref ref-type="bibr" rid="ref37">37</xref>) which likely led to an overestimation of requirement fulfillment. When using Luke reference values, it was unclear whether these represented total or digestible amino acids, introducing additional uncertainty to the interpretation (<xref ref-type="bibr" rid="ref46">46</xref>). Lastly, amino acid results obtained in this study are based on freeze-dried material. As freeze drying is known for preserving nutrients more effectively when compared with other drying methods, it is likely that observed AA values are higher than they would be in oven-dried samples (<xref ref-type="bibr" rid="ref99">99</xref>). However, due to cost and sustainability considerations, freeze drying is unlikely to be used for feed materials. This provides an additional reason why the calculated fulfillment of daily amino acid requirements in this study may be overestimated and should be interpreted accordingly.</p>
</sec>
<sec id="sec29">
<label>4.4</label>
<title>Fatty acids</title>
<p>Fatty acids represent concentrated energy sources with unsaturated forms typically associated with health-promoting effects. Fatty acid profiles largely matched previous reports, though some studies have found variations in alpha-linolenic acid (ALA), palmitic, and palmitoleic acid levels (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref71">71</xref>, <xref ref-type="bibr" rid="ref100">100</xref>). In this study, SBPS contained the most PUFA, mainly ALA, exceeding those found in most cereals, oilseed by-products, and legumes. Linoleic acid (LA), on the other hand, was lower in SB residues than in the mentioned conventional feed ingredients (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S11</xref>). SBPW was richest in MUFA (dominated by palmitoleic and oleic acids), and SBL in SFA (dominated by palmitic acid). SBL showed the lowest n6:n3 ratio (0.85:1), whereas SBPW had the highest (7.71:1). These patterns indicate that SB residues differ markedly in fatty acid profiles and should be combined strategically to balance lipid quality in diets, with SBPS showing the most promise with a good n6:n3 and high PUFA concentrations.</p>
<p>The essential fatty acids LA and ALA are vital for reproduction, growth, and immune function (<xref ref-type="bibr" rid="ref101">101</xref>, <xref ref-type="bibr" rid="ref102">102</xref>). A low n6:n3 ratio and higher n3 levels are generally associated with improved fertility, embryo survival, and beneficial fatty acid profiles in animal products such as milk, eggs, and meat (<xref ref-type="bibr" rid="ref103">103</xref>, <xref ref-type="bibr" rid="ref104">104</xref>). In contrast, excessive SFAs can negatively affect plasma cholesterol, reproduction, and immune function (<xref ref-type="bibr" rid="ref105">105</xref>). Consequently, both human and animal nutrition have shifted toward increasing dietary unsaturated fatty acids, including enriching animal products through feed supplementation. In this context, high concentrations of unsaturated FA in pomaces could enhance reproductive efficiency, product quality, and environmental sustainability by lowering enteric methane emissions (<xref ref-type="bibr" rid="ref101">101</xref>, <xref ref-type="bibr" rid="ref106">106</xref>, <xref ref-type="bibr" rid="ref107">107</xref>). SBPW may serve as a functional source of MUFAs for improving product oxidative stability and animal performance, while SBL&#x2019;s low lipid content limits its practical influence on dietary FA profiles (<xref ref-type="bibr" rid="ref108">108</xref>). Oleic acid, abundant in all residues, is linked to reduced methane emissions in ruminants and improved cardiovascular and metabolic outcomes in humans (<xref ref-type="bibr" rid="ref109 ref110 ref111">109&#x2013;111</xref>). SB residues, especially SBPW, were also rich in palmitic acid, an important energy source that can improve milk yield and digestibility but may impair body condition when excessive (<xref ref-type="bibr" rid="ref112">112</xref>, <xref ref-type="bibr" rid="ref113">113</xref>).</p>
<p>Together, SB residues could contribute to diversifying lipid sources in feed formulations, especially where improving n3 intake (SBPS) or product oxidative stability (SBPW) is desired. When assessing daily fatty acid requirement fulfillment in pigs at a 2.5% inclusion level of residues, SBPW and SBPS provided more than the proportional (2.5%) requirement of LA, while SBL contributed less than 2.5% (<xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref>). However, the interpretation of requirement fulfillment is constrained by inconsistent reference values: NRC recommendations for LA are considerably lower than those observed in research trials (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref101">101</xref>, <xref ref-type="bibr" rid="ref102">102</xref>, <xref ref-type="bibr" rid="ref114">114</xref>). For instance, NRC (<xref ref-type="bibr" rid="ref34">34</xref>) recommends 6&#x202F;g per day of LA for lactating sows and 1.5&#x2013;2.8&#x202F;g per day for growing pigs, whereas research studies have reported optimal levels of 125 and 15&#x2013;30&#x202F;g per day, respectively, showing that on farms linoleic acid is provided in much higher concentrations (<xref ref-type="bibr" rid="ref101">101</xref>, <xref ref-type="bibr" rid="ref102">102</xref>, <xref ref-type="bibr" rid="ref114">114</xref>). Meanwhile, in both categories of poultry, all three residues failed to meet 2.5% of daily LA requirements, indicating a need for supplementation (<xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>). Species-specific FA metabolism and absorption efficiencies also require further investigation through controlled feeding experiments.</p>
</sec>
<sec id="sec30">
<label>4.5</label>
<title>Vitamins</title>
<p>Vitamin analysis help identify feed ingredients that can supply essential vitamins which support animal health, performance, and ultimately contribute to reduction of reliance on synthetic supplementation. Previous research on vitamins in <italic>Hippophae rhamnoides</italic> has focused primarily on leaves and berries, with limited information on residues. However, some studies have analyzed tocopherols and &#x03B2;-carotene in pomace, showing varied results (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref71">71</xref>). In this study, SB residues were consistently rich in vitamin E with pomaces particularly rich in &#x03B2;-carotene, exceeding levels typically found in conventional feed ingredients (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S12</xref>). Conversely, vitamin A and D levels were uniformly low, aligning with those of standard feedstuffs such as cereals (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S12</xref>). Results on vitamin B varied sharply among materials, with high content of these vitamins found in SBPS.</p>
<p>In some animal categories, addition of SB residues in the diet of animals could theoretically lead to exceeding of daily vitamin E and A requirements, if full conversion of &#x03B2;-carotene to vitamin A is assumed (<xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>, <xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>, <xref ref-type="fig" rid="fig4">Figure 4A&#x2013;G</xref> and <xref ref-type="fig" rid="fig5">Figures 5A</xref>,<xref ref-type="fig" rid="fig5">B</xref>). High intakes of high vitamin A have been associated with signs of toxicity. For example, pigs fed excess vitamin A for 5&#x202F;weeks developed lesions in endochondral and intramembranous bones (<xref ref-type="bibr" rid="ref34">34</xref>). Toxicity of vitamin A in pigs typically presents with hyperirritability, crusty skin, coarse dull hair, haematuria, haematochezia, blood in the skin and hooves, periodic tremors, and loss of leg control (<xref ref-type="bibr" rid="ref34">34</xref>). Feeding 500,000 IU/d of vitamin A to dry cows has been reported to reduce milk yields, while dose of 1,300&#x202F;IU/kg BW has been found to cause osteoporosis (<xref ref-type="bibr" rid="ref48">48</xref>). In horses, vitamin A toxicity has been linked to high bone fragility, exfoliated epithelium, hyperostosis, and teratogenesis (<xref ref-type="bibr" rid="ref53">53</xref>). The safe upper limit of vitamin A, or Retinyl acetate, has been determined in an EU Directive for each animal species (<xref ref-type="bibr" rid="ref115">115</xref>). In contrast, negative impacts of excess intakes of vitamin E or &#x03B2;-carotene have not been reported. Vitamin E and &#x03B2;-carotene play key antioxidant, reproductive, and immune roles in animals. High concentrations of vitamin E found in all three residues could especially be of benefit to gestating animals, especially cows in transition period, when demands of vitamin E increase due to its role in both reproductive health and immunity, but also for other animals exposed to stress or high metabolic demands (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref53">53</xref>). Bioavailability and storage degradation of vitamin E and &#x03B2;-carotene likely reduce the risk of exceeding requirements. In addition, not all ingested &#x03B2;-carotene is likely to be converted to vitamin A, making potential toxicity even more unlikely.</p>
<p>High levels of B-complex vitamins in SBPS, with pyridoxine concentrations elevated across all three residues, may support growth as well as energy and protein metabolism, potentially reducing the need for synthetic vitamin supplementation in nutrient-dense or high-protein, fast-growth diets (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). Niacin levels were also high in both SBPW and SBL, although these concentrations are comparable to, or lower than, those found in some traditional feed ingredients (<xref ref-type="bibr" rid="ref44">44</xref>) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S12</xref>).</p>
<p>SB residues, especially SBPS, show promise as natural sources of antioxidants (vitamin E and &#x03B2;-carotene) and B-vitamins for livestock. Their inclusion could enhance vitamin supply, reduce reliance on synthetic premixes, and support animal performance and immune health, while contributing to the sustainability of feed formulations through the valorization of agro-industrial by-products.</p>
<p>Because vitamin analyses were not temporally aligned with other nutrient assays, degradation during storage may have biased inter-material comparisons. Future work should standardize sampling times or include storage-stability controls. Additionally, as described in the methodology, for vitamins below detection limits, half of the detection limit was used as an estimate to calculate daily requirement fulfillment. While practical, this substitution does not reflect exact vitamin concentrations, so percentages of daily requirements might be over or underestimated. Lastly, because vitamin measurements were based on a limited number of replicates, the vitamin-related findings should be interpreted as exploratory rather than definitive. Nevertheless, the clear differences observed among residues and alignment with previously published values provide confidence in the general patterns reported. Future studies should include additional replication to strengthen quantitative precision.</p>
</sec>
<sec id="sec31">
<label>4.6</label>
<title>Summary of nutritional and practical observations and animal suitability</title>
<p>For most analyses&#x2014;particularly mineral, vitamin, and proximate concentrations&#x2014;previous studies reported results that differed from ours. These observed differences likely arise from factors such as SB variety, plant maturity, harvest time, processing, drying, storage, climatic conditions and inherent natural variability (<xref ref-type="bibr" rid="ref116 ref117 ref118">116&#x2013;118</xref>). Regarding animal category/species suitability, based on the proportion of daily nutrient requirements met at a 2.5% inclusion rate of residues, all three SB by-products appear best suited for gilts and gestating sows and different categories of horses. SBPS emerged as the promising protein source, as it supplied a strong amino acid profile. It also showed high concentrations of PUFAs and a more desirable n6:n3 ratio which offers numerous health benefits, especially for reproduction system. SBL, while also providing a solid amino acid profile, appeared to be a rich source of minerals, whereas the pomaces generally exhibited low mineral levels. SBPW showed the highest energy contribution based on ME predictions among the three by-products tested, suggesting it could serve as a valuable energy source for animals with higher energy requirements. On the other hand, SBPW&#x2019;s weaker amino acid and mineral content may limit its overall nutritional value. All three residues were rich in vitamin E, while the pomaces were particularly high in &#x03B2;-carotene, both antioxidants, that can support reproduction, enhance immune function, and stabilize PUFAs, ensuring that the fatty acids remain intact and biologically active when included in animal feed. Consequently, supplementation with SB residues could be particularly beneficial for gestating or lactating animals and for those animals experiencing oxidative stress, such as during weaning, calving, growth, lactation, egg laying, racing, or heat stress. Additionally, previous studies have reported high concentrations of polyphenolic compounds in SB residues, especially in the leaves, which may further contribute to their antioxidant activity and improve the nutritional value of animal diets, thereby benefiting animal health (<xref ref-type="bibr" rid="ref119">119</xref>, <xref ref-type="bibr" rid="ref120">120</xref>).</p>
</sec>
<sec id="sec32">
<label>4.7</label>
<title>Limitations of the study</title>
<sec id="sec33">
<label>4.7.1</label>
<title>Bioavailability and digestibility</title>
<p>Several limitations of the study should be noted. First of all, although this study provides preliminary results and highlights nutrients in which these materials are abundant or deficient, the bioavailability and absorption efficiency of these nutrients remain unknown. As a result, the reported percentages of daily requirement fulfillment are likely overestimated. Absorption efficiency differs among nutrients and animal species. Moreover, it is influenced by the nutrient&#x2019;s chemical form, dietary antagonists, interactions within and across feed ingredients, as well as individual animal factors, making accurate predictions of absorption difficult. Digestibility experiments are therefore needed to assess how effectively animals can utilize the studied components. In addition, predicting the nutrient requirement fulfillment is challenging as animals can obtain minerals and vitamins from multiple on-farm sources (<xref ref-type="bibr" rid="ref76">76</xref>).</p>
<p>Additional limitation of this study is that ME values presented in this study rely on prediction equations rather than direct digestibility determinations. Although these equations are widely used, they may not accurately reflect species-specific digestion, fermentation, or metabolic efficiency, particularly for unconventional feed ingredients such as SB residues. Consequently, the reported ME values should be interpreted as estimates, and future <italic>in vivo</italic> digestibility or gas-production trials will be essential to validate and refine these energy predictions.</p>
<p>In conclusion, feeding and digestibility trials would help evaluate the practical relevance of the materials, particularly in relation to animal health, environmental benefits (e.g., reduced methane and other emissions), and production efficiency.</p>
</sec>
<sec id="sec34">
<label>4.7.2</label>
<title>Antinutritional compounds and palatability</title>
<p>Another limitation of the study is that concentrations of potential antinutritional factors, such as phytic acid, tannins, or other compounds, were not measured. In addition, the palatability of the residues was not assessed, and it is possible that some materials may not be accepted by animals, potentially reducing voluntary feed intake regardless of their nutritional value. Future research should therefore evaluate both the presence of antinutritional factors and animal acceptance of residues to better understand their practical applicability in feed formulations.</p>
</sec>
<sec id="sec35">
<label>4.7.3</label>
<title>Storage and processing effects</title>
<p>Additionally, the obtained values do not account for the effects of on-farm storage on nutrient content. Extended storage may reduce nutrient concentration, potentially preventing daily requirements from being met and affecting growth and performance of animals. This concern applies not only to by-products but also to conventional feeds; however, if by-products are supplemented to provide specific, storage-sensitive nutrients, proper storage is essential for their preservation. Due to their large quantities, feed materials are less likely to be stored in the fridge and airtight packages that would reduce nutrient degradation.</p>
<p>Additional limitation, as mentioned before, is that vitamin analyses were based on a limited number of replicates; so obtained results should be interpreted as preliminary until validated with expanded replication.</p>
</sec>
<sec id="sec36">
<label>4.7.4</label>
<title>Comparability across feed evaluation systems</title>
<p>Lastly, in the process of choosing a feed evaluation system, we observed that nutrients daily requirements, especially mineral and vitamin requirements of animals, differ considerably depending on the feed evaluation system applied (<xref ref-type="bibr" rid="ref34 ref35 ref36">34&#x2013;36</xref>, <xref ref-type="bibr" rid="ref46 ref47 ref48">46&#x2013;48</xref>, <xref ref-type="bibr" rid="ref52">52</xref>). Such differences likely come from differences in experimental data, underlying assumptions, safety margins, precision levels, animal genetics/breeds and their performance level as well as modeling approaches. As a result, the percentage of daily nutrient requirement fulfillment obtained in this study could vary if a different system were applied, and therefore, the results should be interpreted accordingly. It is important to note that the NRC generally reports lower nutrient requirements compared with other evaluation systems or studies, as previously highlighted for linoleic acid. This trend was also highlighted by Faccin et al. (<xref ref-type="bibr" rid="ref121">121</xref>), who observed that swine nutritionists in general supplement vitamins and trace minerals well above the NRC (2012) requirement estimates (<xref ref-type="bibr" rid="ref34">34</xref>). This further underscores the need to establish more precise and harmonized nutrient requirement guidelines across different feed evaluation systems.</p>
</sec>
</sec>
</sec>
<sec sec-type="conclusions" id="sec37">
<label>5</label>
<title>Conclusion</title>
<p>This research provides a preliminary assessment of the potential of SB residues as feed ingredients. SBPS emerged as a promising protein source and PUFA-rich component, with possible benefits for animal health, reproduction, and growth. SBL showed good nutritional value through its favorable amino acid profile and high mineral content, supporting its use as a mineral-enhancing supplement. SBPW offered value primarily as an energy-dense ingredient. All residues were rich in vitamin E, and the pomaces contained notable amounts of &#x03B2;-carotene, suggesting antioxidant benefits for gestating animals, those experiencing oxidative stress, or animals with elevated metabolic demands. Furthermore, because these residues showed high ADIP content and consequently lower protein digestibility, feed formulations should account for processing methods and the addition of complementary protein sources to ensure nutritional balance. To fully unlock these by-products&#x2019; potential, future studies should focus on digestibility, nutrient bioavailability, and practical feeding trials under farm conditions. Moreover, further investigation into anti-nutritional factors and the impact of storage on the nutrient degradability of these residues is warranted. The incorporation of SB by-products into livestock diets could contribute to the valorization of agro-industrial residues and support more circular and sustainable feeding systems.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec38">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="sec39">
<title>Author contributions</title>
<p>DM: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. RB: Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing. MK: Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing. RL: Writing &#x2013; review &#x0026; editing, Validation. LM: Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing. KH: Supervision, Writing &#x2013; review &#x0026; editing. MO: Conceptualization, Funding acquisition, Writing &#x2013; review &#x0026; editing, Validation.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>Part of this work was carried out using the instrumentation at the Estonian Center of Analytical Chemistry (TARISTU24-TK15, [<ext-link xlink:href="http://www.akki.ee" ext-link-type="uri">http://www.akki.ee</ext-link>]).</p>
</ack>
<sec sec-type="COI-statement" id="sec40">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec41">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<title>Publisher&#x2019;s note</title>
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<sec sec-type="supplementary-material" id="sec43">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fvets.2026.1767594/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fvets.2026.1767594/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1408975/overview">Matteo Dell'Anno</ext-link>, University of Messina, Italy</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2509416/overview">Yi Xiong</ext-link>, China Agricultural University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3255901/overview">Frediansyah Firdaus</ext-link>, National Research and Innovation Agency (BRIN), Indonesia</p>
</fn>
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