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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Agron.</journal-id>
<journal-title>Frontiers in Agronomy</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Agron.</abbrev-journal-title>
<issn pub-type="epub">2673-3218</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fagro.2025.1634066</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Agronomy</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Productive potential and quality of the chipile <italic>Crotalaria longirostrata</italic> Hook. &amp; Arn. as forage for small ruminants</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Aniano-Aguirre</surname>
<given-names>Herminio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Mat&#xed;as-P&#xe9;rez</surname>
<given-names>Diana</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>P&#xe9;rez-Santiago</surname>
<given-names>Alma Dolores</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>S&#xe1;nchez-Medina</surname>
<given-names>Marco Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Rojas-Garc&#xed;a</surname>
<given-names>Adelaido Rafael</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Maldonado-Peralta</surname>
<given-names>Mar&#xed;a de los &#xc1;ngeles</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Ch&#xe1;vez-Monta&#xf1;o</surname>
<given-names>Aurora</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Antonio-Cruz</surname>
<given-names>Alma Lilia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Garc&#xed;a-Montalvo</surname>
<given-names>Iv&#xe1;n Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2042079/overview"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Divisi&#xf3;n de Estudios de Posgrado e Investigaci&#xf3;n, Tecnol&#xf3;gico Nacional de M&#xe9;xico/Instituto Tecnol&#xf3;gico de Pinotepa</institution>, <addr-line>Pinotepa Nacional, Oaxaca</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Divisi&#xf3;n de Estudios de Posgrado e Investigaci&#xf3;n, Tecnol&#xf3;gico Nacional de M&#xe9;xico/Instituto Tecnol&#xf3;gico de Oaxaca</institution>, <addr-line>Oaxaca de Ju&#xe1;rez, Oaxaca</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Universidad Aut&#xf3;noma de Guerrero, Facultad de Medicina Veterinaria y Zootecnia No. 2</institution>, <addr-line>Cuajinicuilapa, Guerrero</addr-line>,&#xa0;<country>Mexico</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2090506/overview">Cristina Abbate</ext-link>, University of Catania, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3116362/overview">Francisco Guadalupe Echavarria-Chairez</ext-link>, Instituto Nacional de Investigaciones Forestales Agricolas y Pecuarias Campo Experimental Zacatecas, Mexico</p>
<p>Simona Dumitri&#x21b;a Chiril&#x103;, Danube Delta National Institute for Research and Development (INCDPM), Romania</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Iv&#xe1;n Antonio Garc&#xed;a-Montalvo, <email xlink:href="mailto:ivan.garcia@itoaxaca.edu.mx">ivan.garcia@itoaxaca.edu.mx</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>7</volume>
<elocation-id>1634066</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Aniano-Aguirre, Mat&#xed;as-P&#xe9;rez, P&#xe9;rez-Santiago, S&#xe1;nchez-Medina, Rojas-Garc&#xed;a, Maldonado-Peralta, Ch&#xe1;vez-Monta&#xf1;o, Antonio-Cruz and Garc&#xed;a-Montalvo.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Aniano-Aguirre, Mat&#xed;as-P&#xe9;rez, P&#xe9;rez-Santiago, S&#xe1;nchez-Medina, Rojas-Garc&#xed;a, Maldonado-Peralta, Ch&#xe1;vez-Monta&#xf1;o, Antonio-Cruz and Garc&#xed;a-Montalvo</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>This study aimed to evaluate the biomass yield and crude protein content of <italic>C.&#xa0;longirostrata</italic> under different cutting frequencies and intensities, to assess its potential as forage for small ruminants on the coast of Oaxaca, Mexico. Twelve treatments were carried out with three replications, which included three cutting frequencies (35, 70, and 105 days) and four cutting intensities (5, 10, 15, and 20 cm), distributed in randomized complete blocks during the rainy and dry seasons. Variables such as dry matter (DM) yield of total biomass (TB), leaves, stems, and crude protein (CP) in leaves and stems were measured. The highest TB productions were recorded at the frequencies of 70 and 105 days in both periods, and the lowest at the frequency of 35 days; the highest leaf yields occurred at 70 days in rain and at 35 days in dry conditions; for stems, the highest value was observed at 105 days in rain and at 70 days in dry season. The CP was higher in the dry season (37%) in leaves compared to the rainy season and (14%) in stems. It is concluded that we results indicate that <italic>C. longirostrata</italic> can contribute to diversified and protein-rich forage resources in smallholder systems under tropical conditions.</p>
</abstract>
<kwd-group>
<kwd>chipile</kwd>
<kwd>frequency of cutting</kwd>
<kwd>biomass yield</kwd>
<kwd>crude protein</kwd>
<kwd>Oaxaca</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="28"/>
<page-count count="7"/>
<word-count count="3634"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Agroecological Cropping Systems</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The global and national human population has increased substantially, increasing the demand for food for human consumption; however, food production grows at a different rate than the former, and, therefore, food self-sufficiency is not achieved. This situation is of such concern that it is included in the 2010&#x2013;2050 agenda as a central objective (<xref ref-type="bibr" rid="B27">Van Dijk et&#xa0;al., 2021</xref>). The inhabitants of rural communities classified as extremely poor use native floristic resources as food sources, which for them are of great importance because of their low acquisition cost and even only collect them on their properties or in their backyards; among these resources is the chipile or chipil&#xed;n <italic>Crotalaria longirostrata</italic> Hook &amp; Arn; this species is native to southeastern Mexico where its leaves and tender stems are consumed as vegetables (<xref ref-type="bibr" rid="B6">Camarillo-Castillo and Mangan, 2020</xref>; <xref ref-type="bibr" rid="B13">Maldonado-Peralta et&#xa0;al., 2023</xref>) in a wide variety of stews and in rations for small ruminants (<xref ref-type="bibr" rid="B7">Fern&#xe1;ndez-Su&#xe1;rez et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B18">Palacios-Pola et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B25">Sol&#xf3;rzano-Juarez, 2020</xref>; <xref ref-type="bibr" rid="B23">Salinas-Morales et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B5">Calonico and De la Rosa-Millan, 2023</xref>).</p>
<p>This species has important nutritional characteristics, among them are its high crude protein content, which can vary from 23.1 to 38.3% (<xref ref-type="bibr" rid="B10">Ju&#xe1;rez-Fuentes et&#xa0;al., 2014</xref>), its leaves have high values of calcium, iron, vitamins such as thiamine, riboflavin, niacin, and ascorbic acid, and the essential amino acid lysine (<xref ref-type="bibr" rid="B9">Jim&#xe9;nez-Aguilar &amp; Grusak, 2015</xref>; <xref ref-type="bibr" rid="B15">Mateos-Maces et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B16">Mendez-Lopez et&#xa0;al., 2023</xref>) and metabolites secondary (<xref ref-type="bibr" rid="B12">L&#xf3;pez et&#xa0;al., 2022</xref>). Therefore, the leaves of these plants can supplement the diet of the most economically vulnerable people and reduce malnutrition problems. These attributes make this plant well-valued as food for both humans and animals. In addition, as they belong to the <italic>Fabaceae</italic> family, they establish symbiosis with nitrogen-fixing bacteria; this aspect is important because it can reduce costs for the application of industrial nitrogen and damage to the environment; therefore, biological nitrogen fixation, being a sustainable process, can help improve the cultivation of chipile (CHP) and plants associated with CHP, coexisting in the same space in places with low levels of nitrogen in the soil (<xref ref-type="bibr" rid="B6">Camarillo-Castillo and Mangan, 2020</xref>).</p>
<p>However, despite the attributes that these plants possess, there is a lack of studies on agronomic management and the forage value of this species in Mexico (<xref ref-type="bibr" rid="B14">Mariaca-M&#xe9;ndez, 2012</xref>; <xref ref-type="bibr" rid="B28">Ventura-R&#xed;os et al., 2022</xref>; <xref ref-type="bibr" rid="B5">Calonico and De la Rosa-Millan, 2023</xref>; <xref ref-type="bibr" rid="B13">Maldonado-Peralta et&#xa0;al., 2023</xref>). This study aimed to evaluate the biomass yield and crude protein content of <italic>C. longirostrata</italic> under different cutting frequencies and intensities, to assess its potential as forage for small ruminants on the coast of Oaxaca, Mexico.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<p>The experiment was conducted from September 12, 2023, to April 12, 2024 in the rainy and dry season, at the Tecnol&#xf3;gico Nacional de M&#xe9;xico/Instituto Tecnol&#xf3;gico de Pinotepa, in the academic unit located in the municipality of San Jos&#xe9; Estancia Grande, Oaxaca, Mexico, located at coordinates 16&#xb0; 22&#x2019; N and 98&#xb0; 13&#x2019; W at 73 m above sea level and a warm sub-humid climate (<xref ref-type="bibr" rid="B8">Garc&#xed;a, 2004</xref>). The seeds used were harvested from a CHP plantation at the Instituto Tecnol&#xf3;gico de Pinotepa. When the fruits were dehydrated, the seeds were manually extracted, and the impurities were eliminated. Subsequently, they were introduced in a cloth and immersed in boiling water for 50 seconds to break dormancy (<xref ref-type="bibr" rid="B22">Rojas-Garc&#xed;a et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B4">Bertsouklis et&#xa0;al., 2023</xref>) and were manually sown in plastic germination trays of 200 cells, previously filled with soil from the place where the study was conducted, and two previously treated seeds were placed in each cell.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Soil preparation</title>
<p>An agricultural tractor was used to prepare the land where the study was carried out; three harrow passes were made until the soil was well loosened. Subsequently, three blocks of 36 x 7.8 m were plotted, with 12 experimental units of 7.8 x 3.0 m in each block, totaling 36 units. The sampling unit, measuring one square meter, contained 15 chipile plants. Two factors were evaluated: cutting frequency with three levels 35, 70, and 105 days and four cutting heights 5, 10, 15, and 20 cm above ground level; the combination of these was 12 treatments; in each block, these were randomly assigned. Four days after the plants were four days old, they were transplanted in furrows 50 cm apart and 25 cm from plant to plant; weed control was manual, and no fertilization was applied.</p>
<p>The variables evaluated were total biomass yield, dry weight of leaves, and dry weight of stems. To do this, biomass samples were collected with scissors, with 15 plants per square meter for each treatment. The samples were then weighed on a scale. Approximately 25% of the cut green material was separated into leaf and stem components, and their weight was recorded. They were placed in identified perforated paper bags and placed in a forced-air electric oven for 48 hours until they reached a constant weight; they were then reweighed, and their dry weight was recorded. The percentage of moisture and dry matter was determined, and the dry matter yield per hectare for total biomass, leaves, and stems was estimated using the formula kg DM ha&#x207b;&#xb9; = (kg of green forage/ha) x (percentage of dry matter/100). Another variable was the crude protein content in leaves and stems, which was determined using the dry leaf and stem samples used for dry matter yield, and determined using the technique described by <xref ref-type="bibr" rid="B3">AOAC (2005)</xref>.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data analysis</title>
<p>The treatments were distributed in a randomized complete block design. The data obtained were subjected to analysis of variance using the <xref ref-type="bibr" rid="B24">SAS, Institute (2009)</xref>, and the means of the treatments were compared using Tukey&#x2019;s &#x3b1;=0.05 test.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results and discussion</title>
<sec id="s3_1">
<label>3.1</label>
<title>Biomass yield</title>
<p>
<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> presents the averages of total dry matter yield by rainy and dry season. A difference (p&lt;0.05) was found between rainy and dry seasons, in the rainy season, the highest yields occurred in the 70-days with 5892 kg of dry matter (DM) and, lower value 836 kg DM ha<sup>-1</sup> in 35-day. In rainfall, the average DM yield was reduced from 5630 to 2863 when intensity decreased from 5.0 cm to 20 cm due to a more significant amount of residual biomass left as a remnant. At both times of the year, the highest biomass yields occurred at the frequencies of 70 and 105 days, 5644 and 5147 kg DM ha<sup>-1</sup> in rain and dry, respectively (p&lt;0. 05). The lowest values occurred at the frequency of 35 days for the seasons above with values of 836 and 2433 kg DM ha<sup>-1</sup> in rain and dry, same order; the higher value in the dry may be because when cutting the CHP plants in the rain, this stimulated a more significant emission of shoots by the plants and, with it a higher dry matter yield.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Total dry matter yield (kg ha<sup>-1</sup>) of chipile during the rainy and dry seasons with varying cutting frequency and intensity in the dry tropics.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1634066-g001.tif">
<alt-text content-type="machine-generated">Bar chart showing total yield in kilograms per hectare for different cutting heights during rainy and dry seasons. Heights are five, ten, fifteen, and twenty centimeters. Each height has bars for thirty-five, seventy, and one hundred five days, with higher yields during the rainy season.</alt-text>
</graphic>
</fig>
<p>In the rainy season, the intensity of 5.0 cm presented the highest DM yield in the three frequencies of 35, 70, and 105 days, compared to the intensities of 10, 15, and 20 cm, which presented lower yields; this may be because, when cutting the plants at a height of 5 cm concerning the soil level, the amount of biomass harvested is more significant than the others. However, in the dry season, the same situation did not occur since at intensity of 5.0 cm, the lowest yield of 2203 kg DM ha<sup>-1</sup> was obtained compared to that observed at the intensities of 10, 15 and 20 cm; this may be due to a more significant amount of dead plants due to the effect of the cutting intensity applied.</p>
<p>The results found in this study are higher in the rainy season than those reported by <xref ref-type="bibr" rid="B13">Maldonado-Peralta et&#xa0;al. (2023)</xref> for CHP at a cutting frequency of 64 days; they report values of 3406, 3500 and 4200 kg DM ha<sup>-1</sup> at planting densities of 200 000, 100&#x2013;000 and 50&#x2013;000 plants ha<sup>-1</sup>, respectively. these differences may be associated with the planting densities used; a study by <xref ref-type="bibr" rid="B21">Rodas-Barrios (2015)</xref> reports values for total green biomass of 65.8-ton ha<sup>-1</sup> that exceed those found in this research; this may be mainly because they are not on the same base and, possibly, due to environmental factors such as rainfall.</p>
<p>
<xref ref-type="bibr" rid="B19">Pardo-Aguilar et&#xa0;al. (2021)</xref> found that successive cuts at 30 days of age in CHP plants increased total dry matter yield by up to 311%. <xref ref-type="bibr" rid="B6">Camarillo-Castillo and Mangan (2020)</xref> report yields of 6293 kg ha<sup>-1</sup> of fresh biomass in CHP, with application of 40 kg N2 ha<sup>-1</sup>. In another study, <xref ref-type="bibr" rid="B20">R&#xed;os-Hilario et&#xa0;al. (2022)</xref> reported average yield values of 527 and 28&#x2013;363 kg DM ha<sup>-1</sup> at 30 and 75 days of plant age, respectively, for Crotalaria juncea, at 30 days, their results are lower than those found in this research in rain and dry. However, they are higher at 75 days; these differences may be due to a higher density of plants per hectare employed by them. <xref ref-type="bibr" rid="B1">Akanvou et&#xa0;al. (2001)</xref> reported yields for Crotalaria juncea of 9&#x2013;000 kg DM ha<sup>-1</sup>, which was higher than in this research. The observed differences may be since it is another species despite belonging to the same genus.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Leaf yield</title>
<p>The means of the dry matter yield of the leaf component are shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, and differences were found between seasons (p&lt;0.05), frequencies, and cutting intensities. The highest leaf yields 2433 and the lowest 643 kg DM ha<sup>-1</sup> occurred in the rainy season in the 70-days and 35-days frequency, respectively (p&lt;0.05); In the dry season, the highest production was 1904 kg DM ha<sup>-1</sup> with a frequency of 35 days; however, when comparing the averages between both seasons, it was higher at 1716 kg DM ha<sup>-1</sup> in the dry season and lower at 1425 kg DM in the rainy season. When observing the DM yields among cutting intensities in the rainy season, a reduction is noted as cutting intensity decreases. This may be due to leaving a good proportion of uncut leaves on the plants.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Dry matter yield of chipile leaf (kg ha<sup>-1</sup>) during rainy and dry seasons with varying cutting frequency and intensity in the dry tropics.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1634066-g002.tif">
<alt-text content-type="machine-generated">Bar chart showing dry matter yield of leaves (kg DM ha&#x207b;&#xb9;) across different cutting heights (5 cm, 10 cm, 15 cm, 20 cm) during rainy and dry seasons. Each height has data for 35 days, 70 days, and 105 days. Yields are generally higher in the rainy season, with 10 cm height yielding the most. Error bars indicate variability.</alt-text>
</graphic>
</fig>
<p>The higher DM yields observed during the dry season are since, because of cutting, the plants are stimulated to produce more branches, which in turn increases the DM yield. <xref ref-type="bibr" rid="B19">Pardo-Aguilar et&#xa0;al. (2021)</xref> found that when CHP plants being subjected to successive cuts every 30 days can increase leaf DM production by up to 311%; in this study, the 35-days cutting in the dry season was more significant than the one carried out in the rainy season. <xref ref-type="bibr" rid="B13">Maldonado-Peralta et&#xa0;al. (2023)</xref> found higher percentages of the leaf component in the cutting frequencies of 15 to 36 days regardless of the sowing density, which coincides with the findings of this study; the highest proportions of leaves occurred in the frequencies of 35 to 70 days.</p>
<p>
<xref ref-type="bibr" rid="B20">R&#xed;os-Hilario et&#xa0;al. (2022)</xref> reported that the leaf component represented 62 and 15% of the total biomass harvested at 30 and 75 days of age in <italic>Crotalaria juncea</italic> plants, respectively, <xref ref-type="bibr" rid="B2">&#xc1;lvarez-V&#xe1;zquez et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Mendoza-Pedroza et&#xa0;al., 2010</xref> they mentioned that the highest proportion of harvested leaf was recorded in the cuttings at 3 and 4 weeks of age. These findings confirm the behavior of the leaf component to decrease in the total yield of the CHP, with increasing age of the CHP crop.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Stem dry matter yield</title>
<p>Stem DM yields are shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>; a difference was found (p&lt;0.05) between seasons; regardless of the cutting intensities the highest yield 4199 kg DM ha<sup>-1</sup> occurred in the rainy season in the 105-days frequency; with a lower yield of 194 kg DM in 35 days. However, in the dry season the highest yield of 3061 kg DM occurred at 70 days and the lowest value 530 kg at 35 days. When comparing yields between cutting intensities during the rainy season, they decrease as the intensity decreases from 3866 to 5 cm and 1650 kg DM at 20 cm, this behavior did not occur in the dry season, possibly due to the effect of previous cuts made to the plants. This is due to a large number of stems remaining on the plants at the lower intensities.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Dry matter yield of stem (kg ha<sup>-1</sup>) of chipile in rainy and dry seasons, varying the frequency and intensity of cutting in the dry tropics.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1634066-g003.tif">
<alt-text content-type="machine-generated">Bar graph showing stem yield in kilograms per hectare across different plant spacings (5 cm, 10 cm, 15 cm, 20 cm) during rainy and dry seasons. Each spacing has three time intervals: 35 days, 70 days, and 105 days. Stem yield is generally higher in the rainy season, especially at wider spacings and longer durations.</alt-text>
</graphic>
</fig>
<p>A study by <xref ref-type="bibr" rid="B13">Maldonado-Peralta et&#xa0;al. (2023)</xref> reported that the proportion of stems increased at the frequency of 64 days with a value of 73% for CHP plants; these results coincide with what was found in this study, in which stem yields increased at cutting frequencies of 70 and 105 days, this may be because plants at that age pass from the vegetative to the reproductive phase, slowing the production of leaves and increasing the weight of the stems. <xref ref-type="bibr" rid="B20">R&#xed;os-Hilario et&#xa0;al. (2022)</xref> reported that the proportion of stems in the biomass was 37 and 68% cut at 30 and 75 days of cultivation, respectively; similar behavior was found in this study in the rainy season for cutting frequencies of 35, 70 and 105 days where the contribution of stems to the total biomass yield was 23.2, 59 and 78% in that exact order; in alfalfa crop,</p>
<p>
<xref ref-type="bibr" rid="B2">&#xc1;lvarez-V&#xe1;zquez et&#xa0;al. (2020)</xref> found that the stem component contributes in the total biomass yield in 41% when it is cut at 35 days of the age of the plants; in another research study conducted by (<xref ref-type="bibr" rid="B17">Mendoza-Pedroza et&#xa0;al., 2010</xref>) on alfalfa crop, they found that with increasing plant age at cutting, the contribution of stem to biomass yield was higher in all seasons of the year, this coincides with the results of this study in which, it is observed that stem yields increased with increasing age of CHP plants. <xref ref-type="bibr" rid="B6">Camarillo-Castillo and Mangan (2020)</xref> report 661 kg DM ha<sup>-1</sup> for stems in unfertilized plants without rhizobia inoculation.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Crude protein in leaves</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the means of crude protein in leaves (CP) by the rainy and dry seasons; for both seasons of the year, a difference (p&lt;0.05) was found in this variable. Higher values 37% were found in crude protein of leaves during the dry season than in the rainy season 32%, when comparing the averages within the period, the best values of 32.5% occurred at 35 and 70 days in rainy conditions and 37.5% in dry conditions at the same cutting frequencies; the protein content in dry conditions was 15.4% higher than that observed in rainy conditions. The values of crude protein among intensities, within the season, were not different (p&gt;0.05) for rainy or dry periods, indicating that the cutting height does not influence the protein content; however, the cutting frequency affects the protein level in the leaves of chipile. The protein content of these plants indicates that they have good potential to be used as a protein food for humans and small ruminants.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Crude protein content (%) in leaves of chipile plants in rainy and dry season with varying frequency and intensity of cutting in the tropics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="7" align="center">Total dry matter yield Intensity</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Rain</th>
</tr>
<tr>
<td valign="middle" align="left">Frequency</td>
<td valign="middle" align="center">5 cm</td>
<td valign="middle" align="center">10 cm</td>
<td valign="middle" align="center">15 cm</td>
<td valign="middle" align="center">20 cm</td>
<td valign="middle" align="center">Average</td>
<td valign="middle" align="center">CV</td>
</tr>
<tr>
<td valign="middle" align="left">35 d</td>
<td valign="middle" align="left">34Ba</td>
<td valign="middle" align="left">33Ba</td>
<td valign="middle" align="left">33BCa</td>
<td valign="middle" align="left">33Ca</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">2.7</td>
</tr>
<tr>
<td valign="middle" align="left">70 d</td>
<td valign="middle" align="left">30Cc</td>
<td valign="middle" align="left">31Cb</td>
<td valign="middle" align="left">32CDb</td>
<td valign="middle" align="left">33Ca</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">0.6</td>
</tr>
<tr>
<td valign="middle" align="left">105 d</td>
<td valign="middle" align="left">31Cab</td>
<td valign="middle" align="left">32BCa</td>
<td valign="middle" align="left">30Db</td>
<td valign="middle" align="left">28Dc</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.9</td>
</tr>
<tr>
<td valign="middle" align="left">Average</td>
<td valign="middle" align="left">32</td>
<td valign="middle" align="left">32</td>
<td valign="middle" align="left">32</td>
<td valign="middle" align="left">31</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Dry</th>
</tr>
<tr>
<td valign="middle" align="left">35 d</td>
<td valign="middle" align="left">37Aa</td>
<td valign="middle" align="left">38Aa</td>
<td valign="middle" align="left">38Aa</td>
<td valign="middle" align="left">37Aa</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">1.7</td>
</tr>
<tr>
<td valign="middle" align="left">70 d</td>
<td valign="middle" align="left">37Abc</td>
<td valign="middle" align="left">40Aa</td>
<td valign="middle" align="left">39Aab</td>
<td valign="middle" align="left">36ABc</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">2.5</td>
</tr>
<tr>
<td valign="middle" align="left">105 d</td>
<td valign="middle" align="left">35Ba</td>
<td valign="middle" align="left">34Ba</td>
<td valign="middle" align="left">35Ba</td>
<td valign="middle" align="left">35Ba</td>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">2.2</td>
</tr>
<tr>
<td valign="middle" align="left">Average</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">37</td>
<td valign="middle" align="left">37</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">CV</td>
<td valign="middle" align="left">1.8</td>
<td valign="middle" align="left">2.2</td>
<td valign="middle" align="left">2.4</td>
<td valign="middle" align="left">1.9</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>abcd, Means with the same lowercase literal in the same row, not different (P&gt;0.05); ABCD, Means with the same uppercase literal in the same column, not different (P&gt;0.05); CV, Coefficient of variation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The contents of CP found in this research maintain a similar trend to that found by <xref ref-type="bibr" rid="B13">Maldonado-Peralta et&#xa0;al. (2023)</xref>. The highest contents of CP were presented in the cutting frequencies of 15 to 43 days after cutting, with values of 30 to 25%, respectively. However, they are lower than those found in this study, possibly the determination was made for the whole plant; on the other hand, they are like those reported by (<xref ref-type="bibr" rid="B19">Pardo-Aguilar et al., 2019</xref>) for C. longirostrata at 30 days of age, consigns 31. 6% in leaves for both rainy and dry seasons; in another study by (<xref ref-type="bibr" rid="B21">Rodas-Barrios, 2015</xref>), he reports 37.6% of CP for CPH at the age of 75 days, which is equal to that found in this research at the frequency of defoliation of 70 days, in the dry period; for his part, <xref ref-type="bibr" rid="B11">Laguna-Gonz&#xe1;lez (2016)</xref> reports CP content of 40.9% for CHP, a value higher than those obtained in this study in the rainy and dry seasons. For leaves with petiole in chipile plants,</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Crude protein in stems</title>
<p>The means of crude protein content in stems (CPC) are shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> for the rainy and dry seasons; differences were found (p&lt;0.05) in both seasons because of treatments, with the highest protein content of 14% at the frequency of 35 days in both rainy and dry seasons, and the lowest value of 7% occurred at 70 and 105 days in the rainy season. The protein values between intensities within the season showed no variations (p&gt;0.05) with average contents of 9% in the rainy season and 11.5% in the dry season. The average protein content of the rain represented 75% of that achieved in the dry period The above indicates that, at an age greater than 70 days of the stems, they do not present attractive attributes as food for humans or ruminants, because the intracellular content is reduced by increasing the crude fiber, affecting the digestibility of the stems.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Crude protein content (%) in stems of chipile plants in rainy and dry season by varying the frequency and intensity of cutting in the dry tropics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="7" align="center">Protein in stems Intensity</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Rain</th>
</tr>
<tr>
<td valign="middle" align="left">Frequency</td>
<td valign="middle" align="center">5 cm</td>
<td valign="middle" align="center">10 cm</td>
<td valign="middle" align="center">15 cm</td>
<td valign="middle" align="center">20 cm</td>
<td valign="middle" align="center">Average</td>
<td valign="middle" align="center">CV</td>
</tr>
<tr>
<td valign="middle" align="left">35 d</td>
<td valign="middle" align="center">13Bc</td>
<td valign="middle" align="center">14Abc</td>
<td valign="middle" align="center">14Aab</td>
<td valign="middle" align="center">15Aa</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">3.4</td>
</tr>
<tr>
<td valign="middle" align="left">70 d</td>
<td valign="middle" align="center">7Ca</td>
<td valign="middle" align="center">7Dbc</td>
<td valign="middle" align="center">7Cc</td>
<td valign="middle" align="center">7Dab</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">3.1</td>
</tr>
<tr>
<td valign="middle" align="left">105 d</td>
<td valign="middle" align="center">7Ca</td>
<td valign="middle" align="center">8Da</td>
<td valign="middle" align="center">7Ca</td>
<td valign="middle" align="center">7Da</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">2.8</td>
</tr>
<tr>
<td valign="middle" align="left">Average</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Dry</th>
</tr>
<tr>
<td valign="middle" align="left">35 d</td>
<td valign="middle" align="center">13Aab</td>
<td valign="middle" align="center">12ABb</td>
<td valign="middle" align="center">14Aab</td>
<td valign="middle" align="center">15Aa</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">7.5</td>
</tr>
<tr>
<td valign="middle" align="left">70 d</td>
<td valign="middle" align="center">15Aa</td>
<td valign="middle" align="center">10Cb</td>
<td valign="middle" align="center">9Bc</td>
<td valign="middle" align="center">10Cbc</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">2.9</td>
</tr>
<tr>
<td valign="middle" align="left">105 d</td>
<td valign="middle" align="center">9Cb</td>
<td valign="middle" align="center">11BCa</td>
<td valign="middle" align="center">11Ba</td>
<td valign="middle" align="center">11Aa</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">4.7</td>
</tr>
<tr>
<td valign="middle" align="left">Average</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">CV</td>
<td valign="middle" align="center">4.9</td>
<td valign="middle" align="center">5.4</td>
<td valign="middle" align="center">5.8</td>
<td valign="middle" align="center">4.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>abcd, Means with the same lowercase literal in the same row, not different (P&gt;0.05); ABCD, Means with the same uppercase literal in the same column, not different (P&gt;0.05); CV, Coefficient of variation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>For stems of CHP plants cut at 30 days of age (<xref ref-type="bibr" rid="B19">Pardo-Aguilar et al., 2019</xref>) found a CP content of 20.17%; this value is higher than those obtained in this study in the rainy and dry season at any frequency of plant cutting, this same author reports higher CP content in leaves than in stems, like (<xref ref-type="bibr" rid="B10">Ju&#xe1;rez-Fuentes et&#xa0;al., 2014</xref>). <xref ref-type="bibr" rid="B26">Torres-Salado et&#xa0;al. (2020)</xref> report a higher CP content in leaves at the highest frequencies and intensities of defoliation, regardless of plant genotype, being consistently lower in stems than in leaves.</p>
</sec>
</sec>
<sec id="s4" sec-type="conclusions">
<label>4</label>
<title>Conclusions</title>
<p>In conclusion, <italic>Crotalaria longirostrata</italic> stands out for its high potential as a source of protein, representing a valuable alternative for strengthening food security in the Oaxacan coastal region. The best biomass yields are achieved at 70 days, while the optimal protein content occurs between 35 and 70 days, allowing for efficient use.</p>
<p>In addition to its significant nutritional contribution, this plant offers an opportunity to diversify the local food base, contributing to more sustainable and resilient agricultural systems in tropical areas. Promoting its cultivation and consumption in the coastal region of Oaxaca encourages the preservation of traditional practices, food sovereignty, and the nutritional well-being of local populations. In terms of regional development, the integration of this legume into intercropping systems can strengthen the food supply and the rural economy, promoting agroecological practices and strengthening the&#xa0;social fabric through the valorization of endogenous natural resources.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<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 id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>HA-A: Methodology, Validation, Formal analysis, Conceptualization, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Investigation. DM-P: Methodology, Conceptualization, Investigation, Writing &#x2013; original draft, Formal analysis. AP-S: Methodology, Formal analysis, Investigation, Conceptualization, Writing &#x2013; original draft. MS-M: Conceptualization, Formal analysis, Methodology, Investigation, Writing &#x2013; original draft. AR-G: Conceptualization, Formal analysis, Methodology, Writing &#x2013; original draft, Investigation. MM-P: Formal analysis, Methodology, Writing &#x2013; original draft, Conceptualization, Investigation. AC-M: Conceptualization, Formal analysis, Writing &#x2013; original draft, Investigation. AA-C: Methodology, Investigation, Conceptualization, Writing &#x2013; original draft. IG-M: Validation, Conceptualization, Methodology, Supervision, Writing &#x2013; review &amp; editing, Investigation, Writing &#x2013; original draft, Formal analysis, Visualization.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was 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>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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