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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2025.1616479</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Food Systems</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Closing the loop: crop yield response and soil health implications of human excreta-derived fertilizer application in dryland agriculture</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Musazura</surname>
<given-names>William</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 contrib-type="author">
<name>
<surname>Nkomo</surname>
<given-names>Nqobile</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Otieno</surname>
<given-names>Benton</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Badza</surname>
<given-names>Taruvinga</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Odindo</surname>
<given-names>Alfred Oduor</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Ojwach</surname>
<given-names>Steven O.</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Crop Science, Agriculture and Science, University of KwaZulu-Natal</institution>, <addr-line>Pietermaritzburg</addr-line>, <country>South Africa</country></aff>
<aff id="aff2"><sup>2</sup><institution>WASH R&#x0026;D, Chemical Engineering Basement, Howard College, University of KwaZulu-Natal</institution>, <addr-line>Durban</addr-line>, <country>South Africa</country></aff>
<aff id="aff3"><sup>3</sup><institution>Chemistry Department, School of Chemistry and Physics University of KwaZulu-Natal</institution>, <addr-line>Pietermaritzburg</addr-line>, <country>South Africa</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/477415/overview">Silvia Silvestri</ext-link>, Fondazione Edmund Mach, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2403245/overview">Martina Mazzon</ext-link>, University of Bologna, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1617871/overview">Modupe Olufemi Doyeni</ext-link>, Lithuanian Research Centre for Agriculture and Forestry, Lithuania</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: William Musazura, <email>wmusazura@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>9</volume>
<elocation-id>1616479</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Musazura, Nkomo, Otieno, Badza, Odindo and Ojwach.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Musazura, Nkomo, Otieno, Badza, Odindo and Ojwach</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>
<sec>
<title>Introduction</title>
<p>Human excreta-derived fertilizers, such as sewage sludge-based co-compost and urine, offer a potential pathway to improve soil fertility and crop productivity in dryland agriculture while promoting circular bioeconomy practices. However, their agronomic performance and environmental safety remain underexplored.</p>
</sec>
<sec>
<title>Methods</title>
<p>A six-month field experiment was conducted at the Bishopstowe Agricultural Living Lab using a randomized complete block design with five treatments (urine, urine + co-compost, chicken manure, no fertilizer, and conventional fertilizer) and four replications. Chili (<italic>Capsicum annuum</italic>) yield, soil nitrogen dynamics (mineralization, ammonium, nitrate), enzyme activities (urease, <italic>&#x03B2;</italic>-glucosidase, phosphatases), microbial communities, soil carbon fractions, and groundwater contamination risks (<italic>Escherichia coli</italic>, nitrate) were assessed.</p>
</sec>
<sec>
<title>Results</title>
<p>Chili yield, soil N mineralization, ammonium and nitrate concentrations, enzyme activities, microbial community composition, and active carbon did not differ significantly across treatments (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). In contrast, organic carbon and extractable phosphorus were significantly higher in the urine + co-compost and chicken manure treatments. Although co-compost contained high organic carbon, associated microbial activity was lower than that observed with chicken manure. Groundwater contamination by <italic>E. coli</italic> and nitrate was not significantly affected by excreta-derived amendments during the trial period.</p>
</sec>
<sec>
<title>Discussion and Conclusion</title>
<p>Excreta-derived amendments enhanced soil organic carbon and phosphorus without compromising groundwater quality, highlighting their potential role in resilient and sustainable food systems. Nevertheless, their safe use requires management practices such as salinity control and adherence to WHO sanitation guidelines. The study was limited by its short duration and single-site scope; therefore, long-term (&#x003E;2 years) and multi-location trials are recommended to fully assess agronomic, soil health, and environmental outcomes of excreta-derived fertilizers in dryland agriculture.</p>
</sec>
</abstract>
<kwd-group>
<kwd>biostimulants</kwd>
<kwd>circular bioeconomy</kwd>
<kwd>climate change</kwd>
<kwd>human excreta fertilizers</kwd>
<kwd>regenerative agriculture</kwd>
<kwd>soil microbiology</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="7"/>
<equation-count count="4"/>
<ref-count count="93"/>
<page-count count="16"/>
<word-count count="11686"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Waste Management in Agroecosystems</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Sub-Saharan countries are burdened with poor waste management, pollution, food insecurity, and biodiversity loss. Management of human excreta from onsite sanitation systems is of great concern in Sub-Saharan Africa. About 80% of the 2.8 billion people globally served by pit latrines are from Sub-Saharan Africa (<xref ref-type="bibr" rid="ref74">Strande et al., 2014</xref>). Studies from 39 global South cities show that 58% of human excreta is not safely managed, 14% of fecal sludge is contained but not emptied, 13% is emptied but not delivered to the treatment plants, and 2% that reaches the treatment plant is not treated (<xref ref-type="bibr" rid="ref61">Peal et al., 2020</xref>). This exposes communities to public health risks, and studies have linked outbreaks of major diarrheal diseases to poor faecal sludge management (<xref ref-type="bibr" rid="ref45">Mamera et al., 2021</xref>; <xref ref-type="bibr" rid="ref53">Ngasala et al., 2019</xref>; <xref ref-type="bibr" rid="ref11">Back et al., 2018</xref>). This concerns South Africa, a water-scarce country, considering rolling out boreholes as part of the National Groundwater Strategy (NGS) for potable water supply in rural areas (<xref ref-type="bibr" rid="ref87">WRC, 2017</xref>). Therefore, improving fecal sludge collection, transport, and treatment is essential to protect public health and groundwater resources.</p>
<p>Apart from sanitation, food insecurity is another challenge faced in South Africa. About 21.7% of Black Africans, especially in rural areas, are severely food insecure (<xref ref-type="bibr" rid="ref73">STATSSA, 2025</xref>). Apart from poverty, unemployment, and reliance on social grants, poor crop yields are drivers of food insecurity in South Africa. South African soils are not productive, some being acidic and nutrient-deficient. About 19.5% of soils in the Western Cape have a pH (KCl)&#x202F;&#x003C;&#x202F;5 (<xref ref-type="bibr" rid="ref40">Liebenberg et al., 2020</xref>), natural acidification has been reported to affect about 16 million ha of cultivated lands in South Africa (<xref ref-type="bibr" rid="ref80">van Huyssteen and du Preez, 2023</xref>) and this has been problematic, especially for smallholder farmers, who are mainly producing under rainfed conditions (<xref ref-type="bibr" rid="ref80">van Huyssteen and du Preez, 2023</xref>). This is exacerbated by nutrient mining and the minimal use of organic fertilizers (<xref ref-type="bibr" rid="ref9">Anyega et al., 2021</xref>), and persistent droughts (<xref ref-type="bibr" rid="ref58">Orimoloye, 2022</xref>). <xref ref-type="bibr" rid="ref21">Elagib et al. (2024)</xref> reported that by 2050, intensifying droughts will likely affect food security in 4.30 and 28.8% of areas under dryland agriculture in wet and dry regions, respectively. About 65% of Sub-Saharan soils are degraded due to minimal use of organic matter and nutrient mining (<xref ref-type="bibr" rid="ref92">Zingore et al., 2015</xref>). This also threatens soil health as well as the capacity to produce food for future generations optimally (<xref ref-type="bibr" rid="ref43">Louw et al., 2014</xref>; <xref ref-type="bibr" rid="ref50">Montgomery and Bikl&#x00E9;, 2021</xref>). Addressing these challenges requires improving soil health and climate-resilient farming practices to safeguard food security.</p>
<p>The closed-loop circular bioeconomy is an innovative approach to solving the intertwining food security and sanitation challenges in South Africa (<xref ref-type="bibr" rid="ref68">Sekabira et al., 2023</xref>). Human excreta can be valorized into soil organic amendments, such as co-compost (<xref ref-type="bibr" rid="ref54">Nikiema et al., 2020</xref>). This aligns with the South African National Environmental Management Waste Act 59 of 2008 (<xref ref-type="bibr" rid="ref19">DFFE, 2019</xref>), which emphasizes the transition towards zero landfilling of organic waste by 2050. While at a global scale, the co-compost production and agricultural use are important for eliminating hunger (Sustainable Development Goal or SDG 2), ensuring good health and well-being of people from exposure to hazardous waste (SDG 3), mitigate climate change from landfills emissions by sequestrating carbon in soils (SDG 13) and prevent soil biodiversity loss while enhancing life on land (SDG 15) (<xref ref-type="bibr" rid="ref78">UN, 2025</xref>).</p>
<p>The agricultural use of co-compost has several agronomic benefits, including increasing soil organic matter, water and nutrient use efficiency, soil health, and crop yields (<xref ref-type="bibr" rid="ref75">Suddick and Six, 2013</xref>; <xref ref-type="bibr" rid="ref88">Yaseen et al., 2020</xref>; <xref ref-type="bibr" rid="ref24">Fuhrmann et al., 2022</xref>). However, this has human health concerns regarding heavy metals, pathogens, and micropollutants. These challenges are addressed in the World Health Organization&#x2019;s (WHO) Sanitation Safety Planning guideline through the application of a multibarrier approach. Part of the multibarrier approaches in treating human excreta to eliminate pathogens is done by thermophilic temperatures attained during co-composting. When it comes to heavy metals, the South African regulations require the co-compost to meet certain minimum limits (<xref ref-type="bibr" rid="ref64">RSA, 1947</xref>), which are possible by mixing a certain portion of sewage sludge with green waste, which is generally low in heavy metals. The only challenge comes with micropollutants and antibiotic resistance genes, which have been detected in sewage sludge, but their impacts on the environment and health risks are still grey and subject to ongoing research.</p>
<p>The use of biofertilizers as a climate change adaptation to maintain soil biodiversity for sustainable agriculture in uncertain rainfall conditions of dryland agriculture is a well-articulated topic, but with some grey areas. The long-term ability of organic fertilizers to increase soil health in terms of microbial activity and water retention capacity for sustainable dryland agriculture was evidenced using sewage sludge alone (<xref ref-type="bibr" rid="ref18">Desjardins et al., 2025</xref>). The same was observed by <xref ref-type="bibr" rid="ref44">Lucchetta et al. (2023)</xref> from 3 years of applying animal manure-derived co-compost in vineyards. The use of human urine alters soil ecology and microbial diversity, but there are concerns regarding soil microbial activity (<xref ref-type="bibr" rid="ref89">Yu et al., 2025</xref>; <xref ref-type="bibr" rid="ref59">Orwin et al., 2010</xref>; <xref ref-type="bibr" rid="ref2">Abdul Rahman et al., 2021</xref>; <xref ref-type="bibr" rid="ref13">Bertram, 2009</xref>). Conversely, in controlled greenhouse experiments, <xref ref-type="bibr" rid="ref65">Rumeau et al. (2024)</xref> observed that the high salinity of one-year-stored urine had little effect on soil bacterial communities (only ~3 % of taxa shifted); however, given the greenhouse setting and short-term scope, these findings may not extend to open-field conditions. A study done using a combination of human urine and faecal sludge-derived co-compost was done in controlled experiments, focusing on cabbage physiological performance, not soil health (<xref ref-type="bibr" rid="ref28">H&#x00E4;fner et al., 2023</xref>).</p>
<p>There is a dearth of studies on the use of sewage sludge and greenwaste co-compost in combination with human urine to complement soil conditioning and nutrient supply for crops, especially in dryland agriculture. This baseline case study sought to bridge the gap by assessing the potential of using human excreta-based organic amendment (co-compost) and biobased fertilizer (urine) to promote crop production under dryland agriculture at Bishopstowe Agroecological Living&#x202F;Lab (BALL) in South Africa.</p>
<sec id="sec2">
<label>1.1</label>
<title>Hypothesis</title>
<p>The use of sewage sludge and green waste-derived co-compost together with human urine significantly increases chili (<italic>Capsicum annuum</italic>) yield, improves microbial activity, abundance, and evenness in a single season of dryland agriculture, without contaminating groundwater with <italic>E. coli</italic>.</p>
</sec>
</sec>
<sec sec-type="materials|methods" id="sec3">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec4">
<label>2.1</label>
<title>Study contextualization</title>
<p>This study was informed by sanitation management practices, challenges, and opportunities in agricultural production systems of small-scale communal farmers from uMsunduzi Municipality, South Africa. Pit latrines serve the rural farmers, while urban farmers use flushing toilets connected to the wastewater treatment plant. The fecal and sewage sludge that is not managed can be valorized into sewage sludge. In addition to that, farmers are using organic materials such as cow dung and chicken manure in their agricultural fields (<xref ref-type="bibr" rid="ref68">Sekabira et al., 2023</xref>). The farmers receive some extension services from the Department of Agriculture, Land Reform and Rural Development (DALRRD), where they learn about applying inorganic fertilizers in their fields (<xref ref-type="bibr" rid="ref93">Zondi, 2023</xref>). Due to financial constraints, they rarely have irrigation and depend mostly on dryland farming. They grow various crops, including Yellow maize (<italic>Zea mays L.</italic>), <italic>Swiss chard</italic> (<italic>Beta vulgaris L.</italic>), <italic>green and dry beans</italic> (<italic>Phaseolus vulgaris L.</italic>), and Chilies (<italic>Capsicum annuum L.</italic>) (<xref ref-type="bibr" rid="ref6">Adey et al., 2004</xref>). Linking resource recovery and reuse with existing indigenous knowledge systems is important to spearhead the concept to the next level, bringing impact to communities while transforming existing food systems for future generations.</p>
</sec>
<sec id="sec5">
<label>2.2</label>
<title>Study site characteristics</title>
<p>The study was done at the Bishopstowe Agroecological Living&#x202F;Lab (BALL) located in uMshwati Local Municipality within uMgungundlovu District Municipality (29&#x00B0;35&#x2032;09.9&#x2033; S 30&#x00B0;28&#x2032;45.4&#x2033;E). The BALL is a newly established agroecological hub where green technologies are tested, demonstrated, and transferred to potential beneficiaries. The soils are generally red clay soils with &#x003E;50% clay content down to 1&#x202F;m depth (<xref ref-type="table" rid="tab1">Table 1</xref>). The slope is approximately 7.4&#x00B0;, and the altitude ranges from 451-50 m above sea level.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>General soil physical properties of the experimental field at BALL at three different soil depths.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
<th align="center" valign="top" colspan="2">Moisture retention</th>
</tr>
<tr>
<th align="left" valign="top">Soil depth</th>
<th align="center" valign="top">Clay</th>
<th align="center" valign="top">Fine silt</th>
<th align="center" valign="top">Sand</th>
<th align="center" valign="top">Texture class</th>
<th align="center" valign="top">Bulk density</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top">PWP</th>
</tr>
<tr>
<th align="left" valign="bottom">m</th>
<th align="center" valign="bottom" colspan="3">%</th>
<th/>
<th align="center" valign="bottom">kg&#x202F;m<sup>&#x2212;3</sup></th>
<th align="center" valign="bottom" colspan="2">m<sup>3</sup> m<sup>&#x2212;3</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">0.3</td>
<td align="center" valign="bottom">51.3</td>
<td align="center" valign="bottom">16.3</td>
<td align="center" valign="bottom">32.4</td>
<td align="center" valign="bottom">Clay</td>
<td align="center" valign="bottom">1.1</td>
<td align="center" valign="bottom">0.36</td>
<td align="center" valign="bottom">0.21</td>
</tr>
<tr>
<td align="left" valign="bottom">0.6</td>
<td align="center" valign="bottom">55.7</td>
<td align="center" valign="bottom">16.7</td>
<td align="center" valign="bottom">27.6</td>
<td align="center" valign="bottom">Clay</td>
<td align="center" valign="bottom">1.1</td>
<td align="center" valign="bottom">0.36</td>
<td align="center" valign="bottom">0.21</td>
</tr>
<tr>
<td align="left" valign="bottom">0.9</td>
<td align="center" valign="bottom">59</td>
<td align="center" valign="bottom">17</td>
<td align="center" valign="bottom">24</td>
<td align="center" valign="bottom">Clay</td>
<td align="center" valign="bottom">1.1</td>
<td align="center" valign="bottom">0.36</td>
<td align="center" valign="bottom">0.21</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Clay has particles &#x003C;0.002&#x202F;mm, fine silt has 0.02&#x2013;0.002&#x202F;mm, and sand has 0.02&#x2013;2&#x202F;mm.</p>
<p>FC, Field capacity; PWP, Permanent wilting point.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec6">
<label>2.3</label>
<title>Experimental materials</title>
<p>The co-compost used during the study was made by mixing one part of sewage sludge from the Ixopo Wastewater Treatment Plant with three parts of green organic waste from various garden service providers in Pietermaritzburg, South Africa. The co-composting was done in windrows for 5 to 6 months to ensure that the organic matter is fully digested and free from pathogens due to thermophilic temperatures. The compost attained temperatures between 32&#x00B0;C and 55&#x00B0;C. The 55&#x00B0;C was maintained for at least three weeks, which was enough to sterilize the pile.</p>
<p>The urine used to supplement crop nutrients was collected from the Durban Fresh market public urinal, courtesy of a Non-Governmental Organization called Asiye eTafuleni (AET), following standard methods for urine collection, handling, and transportation (<xref ref-type="bibr" rid="ref77">Tilley et al., 2014</xref>). Chicken manure was obtained from a small-scale chicken farmer at the BALL. The physicochemical properties of materials used during the study are shown in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Physicochemical characteristics of materials used during the study in comparison with the South African fertilizer, farm feeds, Agricultural Remedies and Stock Remedies Act of 1947 (<xref ref-type="bibr" rid="ref64">RSA, 1947</xref>).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top">Co&#x2013;compost</th>
<th align="center" valign="top">Urine</th>
<th align="center" valign="top">Chicken manure</th>
<th align="center" valign="top">Standard limits</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">pH</td>
<td align="center" valign="top">6.3</td>
<td align="center" valign="top">8.8</td>
<td align="center" valign="top">6.1</td>
<td align="center" valign="top">6&#x2013;9<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">EC (&#x03BC;S cm<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">1996.7</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">C: N ratio</td>
<td align="center" valign="top">13.28</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Moisture (%)</td>
<td align="center" valign="top">31.2</td>
<td align="center" valign="top">95</td>
<td align="center" valign="top">39.8</td>
<td align="center" valign="top">&#x003C;40%</td>
</tr>
<tr>
<td align="left" valign="top">Total C (%)</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">&#x003E;17.4%<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Total N (%)</td>
<td align="center" valign="top">1.2</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">5.5</td>
<td align="center" valign="top">0&#x2013;6%<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Phosphorus (%)</td>
<td align="center" valign="top">0.5</td>
<td align="center" valign="top">0.01</td>
<td align="center" valign="top">2.2</td>
<td align="center" valign="top">0.25%<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Potassium (%)</td>
<td align="center" valign="top">0.3</td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">2.3</td>
<td align="center" valign="top">0.2%<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Calcium (%)</td>
<td align="center" valign="top">1.3</td>
<td align="center" valign="top">0.0014</td>
<td align="center" valign="top">10.6</td>
<td align="center" valign="top">3.0%<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Magnesium (%)</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">0.9</td>
<td align="center" valign="top">0.3<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Sodium (%)</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.01</td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top">&#x003C;3<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">Manganese (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">400</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Iron (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1,000</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Aluminium (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">2,052</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">600</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Cadmium (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;40</td>
</tr>
<tr>
<td align="left" valign="top">Chromium (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">300</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;1,200</td>
</tr>
<tr>
<td align="left" valign="top">Cobalt (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Copper (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">101.5</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;1,500</td>
</tr>
<tr>
<td align="left" valign="top">Lithium (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Nickel (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;420</td>
</tr>
<tr>
<td align="left" valign="top">Lead (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;300</td>
</tr>
<tr>
<td align="left" valign="top">Zinc (mg&#x202F;kg<sup>&#x2212;1</sup>)</td>
<td align="center" valign="top">330</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">500</td>
<td align="center" valign="top">&#x003C;2,800</td>
</tr>
<tr>
<td align="left" valign="top"><italic>E. coli</italic> (CFU/100&#x202F;g)</td>
<td align="center" valign="top">&#x003C;3</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x003C;1,000</td>
</tr>
<tr>
<td align="left" valign="top">Ascaris (Viable eggs/kg)</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">62.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1">
<label>a</label>
<p>Denote ranges that are expected for an ideal co-compost without legal implications.</p>
</fn>
<p>Source: <xref ref-type="bibr" rid="ref16">CCME (2005)</xref>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec7">
<label>2.4</label>
<title>Experimental methodology</title>
<p>Twenty plots of 12 m<sup>2</sup> (3&#x202F;m&#x202F;&#x00D7;&#x202F;4&#x202F;m) were laid out in a randomized complete block design consisting of five treatments to four replicates. The treatments were co-compost + urine (T1), poultry manure (T2), urine (T3), no fertilizer (T4) and conventional fertilizer (T5).</p>
<sec id="sec8">
<label>2.4.1</label>
<title>Trial establishment and management</title>
<p>Studies were done in dryland farming to represent agricultural practices commonly done by small-scale farmers in South Africa, who cannot afford to establish irrigation systems. The experiments were set on a land of 17&#x202F;&#x00D7;&#x202F;15.5&#x202F;m. The land was ploughed and disked a month earlier. Plots 3&#x202F;m wide and 4&#x202F;m long, giving an area of 12&#x202F;m<sup>2</sup>, were made using hand hoes. Organic fertilizers (co-compost and chicken manure) were applied based on crop N requirements recommended by the Fertility and Advisory Services (FAS) of the KwaZulu-Natal Department of Agriculture and Rural Development (DARD) soil analysis results. Organic fertilizers have a slow nutrient release rate, so the application rate was calculated following <xref ref-type="disp-formula" rid="EQ1">Equation 1</xref> according to the methods recommended by <xref ref-type="bibr" rid="ref76">Tesfamariam et al. (2020)</xref>.</p>
<disp-formula id="EQ1">
<label>(1)</label>
<mml:math id="M1">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mi>Co</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext>compost application</mml:mtext>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext>Crop</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="normal">N</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext>requirements</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>kg</mml:mi>
<mml:mspace width="0.25em"/>
<mml:msup>
<mml:mi>ha</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mtext>Mineralization rate</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mtext>compost</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="normal">N</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext>content</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
<mml:mspace width="0.25em"/>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<p>In <xref ref-type="disp-formula" rid="EQ1">Equation 1</xref>, the mineralization rate for the BALL site (29%) was obtained from <xref ref-type="bibr" rid="ref56">Ogbazghi et al. (2016)</xref> with an assumption that Pietermaritzburg is within the sub-humid region. The compost N content was obtained from the FAS analytical results. The organic fertilizers were applied on each planting station at a rate of 20 tons per hectare a month prior to planting.</p>
<p>Chilies (<italic>Capsicum annuum</italic>) of the variety Star 6,604 was selected as a test crop due to its potential for processing into chili paste and powder by the farmers at BALL, and according to the <xref ref-type="bibr" rid="ref86">WHO (2006)</xref> multibarrier approach specifications have lower microbial contamination risks. The seedlings obtained from a local registered nursery were planted on 17 November 2022 at a spacing of 0.5&#x202F;m&#x202F;&#x00D7;&#x202F;0.5&#x202F;m, and the test crop lasted for 6 months. The inorganic fertilizers were applied at recommended rates (Urea: 326&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>, Single Super Phosphate (SSP): 1,960&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>, Potassium Chloride (KCl): 558&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>), which directly translates to 150:196:290 (N: P: K). The urea was split-applied; 50% was applied a week after planting, the other 50% was applied a month after planting (25%) and 3&#x202F;months after planting (25%). The SSP and KCl were applied once off at planting. The fertilizers were banded and covered up by the soil soon after application. The urine was stored for 1 month at room temperature, as recommended by <xref ref-type="bibr" rid="ref86">WHO (2006)</xref>. The stored urine N content value of 3.9&#x202F;g&#x202F;L<sup>&#x2212;1</sup>, which was obtained from previous studies (<xref ref-type="bibr" rid="ref55">Odindo et al., 2022</xref>) was used to calculate crop N requirements following <xref ref-type="disp-formula" rid="EQ2">Equation 2</xref>.</p>
<disp-formula id="EQ2">
<label>(2)</label>
<mml:math id="M2">
<mml:mtext>Urine</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="normal">L</mml:mi>
<mml:mspace width="0.25em"/>
<mml:msup>
<mml:mi mathvariant="normal">m</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext>Crop</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="normal">N</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext>requirement</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="normal">g</mml:mi>
<mml:mspace width="0.25em"/>
<mml:msup>
<mml:mi mathvariant="normal">m</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">N</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mtext>content in urine</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="normal">g</mml:mi>
<mml:mspace width="0.25em"/>
<mml:msup>
<mml:mi mathvariant="normal">L</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
</mml:math>
</disp-formula>
<p>The urine was diluted with water at a ratio of 3:1 and applied at the same time as inorganic fertilizers (a week, a month, and 3 months after planting), directly to the soil surface of each plant using the watering container to avoid foliar contact (<xref ref-type="bibr" rid="ref63">Richert et al., 2010</xref>). An integrated weed, pest, and disease management program was implemented. The selected chili variety has a general tolerance to leaf diseases; however, agrochemicals were not used to control pests and diseases because they were not identified.</p>
<p>The data obtained from the National Aeronautics and Space Administration (NASA) access viewer database (<xref ref-type="bibr" rid="ref52">NASA, 2022</xref>) was used to monitor climatic parameters for optimum crop growth. Comparisons were made between the amounts of rainfall received on the site during the crop growing period with historic monthly mean rainfalls averaged for &#x003E;30&#x202F;years. Water balances were done by calculating the monthly average crop evapotranspiration following <xref ref-type="disp-formula" rid="EQ3">Equation 3</xref>.</p>
<disp-formula id="EQ3">
<label>(3)</label>
<mml:math id="M3">
<mml:msub>
<mml:mi>ET</mml:mi>
<mml:mtext>crop</mml:mtext>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi>ET</mml:mi>
<mml:mi>pan</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:msub>
<mml:mi mathvariant="normal">K</mml:mi>
<mml:mi mathvariant="normal">c</mml:mi>
</mml:msub>
<mml:mo>.</mml:mo>
</mml:math>
</disp-formula>
<p>Whereby the ET<sub>crop</sub> is the historic average crop evapotranspiration, ET<sub>pan</sub> is the historic average reference evapotranspiration measured from the class A evaporation pan, and K<sub>c</sub> is the crop factor value for the chili crop. A simple water balance assessed the rainfall sufficiency for crop production by subtracting average monthly ET<sub>crop</sub> from actual monthly rainfall.</p>
<p>Soil chemical and biological properties were measured before planting and after harvesting. Samples for chemical analyses were collected within the 0.3&#x202F;m soil depth from five different spots within each plot. These were bulked to form composite samples for each experimental unit. The samples were submitted to the Fertility and Advisory Services (FAS) of the Department of Agriculture Land Reform and Rural Development laboratory for the analysis of organic carbon, cation exchange capacity, nutrients (organic N, mineral N, extractable P, extractable K, Ca, Mg, Cu, Al and Fe), soil pH (KCl), acid and base saturation according to the standard methods (<xref ref-type="bibr" rid="ref46">Manson et al., 2020</xref>).</p>
</sec>
<sec id="sec9">
<label>2.4.2</label>
<title>Crop yield</title>
<p>The chili harvesting started 12&#x202F;weeks after transplanting. Only red chilies were harvested, leaving green ones and flowers. The fresh mass from the harvested chilies was measured immediately using a balance with &#x00B1;0.02&#x202F;g accuracy. The yield per harvest was determined according to <xref ref-type="disp-formula" rid="EQ4">Equation 4</xref>.</p>
<disp-formula id="EQ4">
<label>(4)</label>
<mml:math id="M4">
<mml:mtext>Yield</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>kg</mml:mi>
<mml:mspace width="0.25em"/>
<mml:msup>
<mml:mi>ha</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mi>MA</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mspace width="0.25em"/>
<mml:mn>10</mml:mn>
<mml:mo>,</mml:mo>
<mml:mn>000</mml:mn>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:msup>
<mml:mi mathvariant="normal">m</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>,</mml:mo>
<mml:mn>000</mml:mn>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="normal">g</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
</mml:math>
</disp-formula>
<p>Whereby the &#x201C;M&#x201D; is the mass of chilies in grams per plant. &#x201C;A&#x201D; is the area per plant, referring to plant spacing of 0.5&#x202F;&#x00D7;&#x202F;0.5&#x202F;m (0.025&#x202F;m<sup>2</sup>). The cumulative yield was then determined as the sum of mean yield values from all the treatments and three harvests obtained from the tables of means calculated by the GenStat software.</p>
</sec>
<sec id="sec10">
<label>2.4.3</label>
<title>Soil microbiology</title>
<p>About 200&#x202F;g of soil was sampled from the 0.3&#x202F;m topsoil level, within a 0.1&#x202F;m radius of the plant, before planting and after the final crop harvest. Each sample was placed in zip-lock plastic bags at room temperature for not more than 5 days and submitted to Sporatec Soil Microbiology Laboratories within the Department of Microbiology at Stellenbosch University to analyze microbial communities and soil enzymatic activity. Microbial communities are important in nutrient recycling. The more even the taxa, the more stable it is to continually carry ecosystem services (<xref ref-type="bibr" rid="ref20">Drosos et al., 2023</xref>). Therefore, microbial communities were analyzed using the molecular fingerprinting technique, which generated a profile for each composite soil sample (<xref ref-type="bibr" rid="ref71">Singh et al., 2006</xref>).</p>
<p>Soil biochemistry is an important indicator of soil health that can help understand the influence of certain soil amendments on soil ecology, which drives optimal microbial processes. When organic matter decomposes in the soil, microorganisms release various enzymes that break down complex molecules such as urea, cellulose, and phosphates, producing carbon dioxide and inorganic nutrients (<xref ref-type="bibr" rid="ref89">Yu et al., 2025</xref>). Therefore, N mineralization, urease activity, <italic>&#x03B2;</italic>-glucosidase, PO<sub>4</sub><sup>3&#x2212;</sup>-P, alkaline and acid phosphatase, microbial activity, and organic and active carbon were measured according to standard methods (<xref ref-type="bibr" rid="ref33">Karlen et al., 2021</xref>). The aerobic incubation method was used to determine soil mineralization after incubating soil samples at 25&#x00B0;C for 14 to 28&#x202F;days. Initial and final concentrations of inorganic nitrogen (NO<sub>3</sub><sup>&#x2212;</sup>-N and NH<sub>4</sub><sup>+</sup>-N) were extracted with 2&#x202F;M KCl and measured colorimetrically using the Thermo Scientific&#x2122; Gallery&#x2122; Discrete Analyzer, to calculate net N mineralization (<xref ref-type="bibr" rid="ref48">Maynard et al., 2007</xref>). The &#x03B2;-glucosidase was determined by incubating a soil sample with a substrate containing p-nitrophenyl-&#x03B2;-D-glucopyranoside in a buffer solution at pH 6, 37&#x00B0;C and for 1&#x202F;h. The reaction was stopped by adding calcium chloride, and the absorbance was measured at 400&#x202F;nm using a spectrophotometer. The Bray II method was used to test the PO<sub>4</sub><sup>3&#x2212;</sup>-P, after shaking a soil sample with a solution of 0.03&#x202F;M NH&#x2084;F and 0.1&#x202F;M HCl and then filtering. The Murphy-Riley method was used to colorimetrically measure PO<sub>4</sub><sup>3&#x2212;</sup>-P at 882&#x202F;nm absorbance. Alkaline and acid phosphatases activity was determined after incubation in a buffer solution, which was acidic (acid phosphatase) or alkaline (alkaline phosphatase), and p-nitrophenyl phosphate as the substrate. The samples were measured spectrophotometrically at 405&#x202F;nm to quantify the enzyme activity. The fluorescein diacetate (FDA) hydrolysis assay was used to estimate total microbial activity in soil by measuring the enzymatic conversion of FDA into fluorescein. The amount of fluorescein produced, quantified spectrophotometrically, reflects the collective activity of microbial enzymes such as esterases, lipases, and proteases (<xref ref-type="bibr" rid="ref4">Adam and Duncan, 2001</xref>). The Walkley-Black method was used to measure organic C, and the potassium permanganate (KMnO&#x2084;) oxidation was used to measure active and labile C forms.</p>
</sec>
<sec id="sec11">
<label>2.4.4</label>
<title>Groundwater sampling</title>
<p>Groundwater samples were analyzed for suitability as irrigation water and human health safety by the drinking water quality standards. The borehole water samples were collected before planting and after 6 months. These were submitted to the salinity laboratory of the FAS for the analysis of salinity, Na, Ca, Mg, K, Cu, Mn, Fe, Zn, Total alkalinity, SAR, salinity class, and Cl<sup>&#x2212;</sup> according to standard methods (<xref ref-type="bibr" rid="ref10">APHA AWWA &#x0026; WEF, 2017</xref>). Using human excreta products is likely to contaminate groundwater with pathogens. Water samples were monitored at a six-month interval and analyzed for nutrients (N and P) and pathogens (<italic>E. coli</italic>) according to <xref ref-type="bibr" rid="ref81">Velkushanova et al. (2021)</xref>.</p>
</sec>
</sec>
<sec id="sec12">
<label>2.5</label>
<title>Data analysis</title>
<p>The GenStat 21<sup>st</sup> Edition statistical package software was used for data analysis (<xref ref-type="bibr" rid="ref82">VSN International, 2022</xref>). The quantitative data was subjected to the analysis of variance (ANOVA) at a 5% significance level. The soil microbial community and biochemical data were subjected to multivariate analysis of variance (MANOVA) at a 5% significance level since there were 19 variables to be considered. Where <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, the Bonferroni multiple comparison test was done to compare treatment differences.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results and discussion</title>
<sec id="sec14">
<label>3.1</label>
<title>Climatic information</title>
<p>The climatic information of the BALL for a six-month period (November 2022 to June 2023) is shown in <xref ref-type="fig" rid="fig1">Figures 1A</xref>&#x2013;<xref ref-type="fig" rid="fig1">C</xref>. The mean daily temperature ranged from 10.8&#x00B0;C to 25.1&#x00B0;C. Chili peppers require a daily maximum temperature of between 20&#x00B0;C and 27&#x00B0;C, and a minimum 15&#x00B0;C for optimum growth (<xref ref-type="bibr" rid="ref85">Welbaum, 2015</xref>). The mean daily temperatures recorded on the site during the growing period (&#x003E; 15&#x00B0;C) were ideal to support the optimum growth of chili peppers.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The climatic information for Bishopstowe Agroecological Living Lab for a 6-month period showing&#x202F;mean temperatures during the growing period <bold>(A)</bold>, historic monthly mean temperatures <bold>(B)</bold> and total rainfall <bold>(C)</bold>.</p>
</caption>
<graphic xlink:href="fsufs-09-1616479-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graph A shows daily temperature fluctuations from November 2022 to June 2023, ranging between 10&#x00B0;C and 30&#x00B0;C. Graph B is a bar chart displaying monthly average temperatures, consistently around 20&#x00B0;C from November to May. Graph C is a bar chart detailing monthly rainfall data, including actual rainfall, historic mean, evapotranspiration, and deficit. Notable high actual rainfall occurs in November and December 2022. Total recorded rainfall is 1,656 millimeters.</alt-text>
</graphic>
</fig>
<p><xref ref-type="fig" rid="fig1">Figure 1C</xref> shows that the BALL site received more rainfall during the growing season than the historical average calculated over 25&#x202F;years. This is a positive indicator from a climate change perspective, especially when droughts threaten food production systems, as <xref ref-type="bibr" rid="ref21">Elagib et al. (2024)</xref> reported. The irrigation deficit was high in March and April and lower during other months (<xref ref-type="fig" rid="fig1">Figure 1C</xref>). During those periods, the farmer should have irrigated the crop for optimum yields. This is when dryland becomes challenging because rainfall is not evenly distributed across the season.</p>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Crop yield</title>
<p>The analysis of variance for the yields of a chili crop is shown in <xref ref-type="table" rid="tab3">Table 3</xref>. The repeated measures on yield significantly differed among treatments over the sampling time.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Analysis of variance showing repeated measures for chili yield in five different treatments.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Source of variation</th>
<th align="center" valign="top">Degrees of freedom</th>
<th align="center" valign="top">Sum of squares</th>
<th align="center" valign="top">Mean of squares</th>
<th align="center" valign="top">Variance ratio</th>
<th align="center" valign="top">F probability</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Replication stratum</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="bottom">0.1</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.09</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="6">Replication&#x202F;&#x00D7;&#x202F;subject stratum</td>
</tr>
<tr>
<td align="left" valign="bottom">Treatment</td>
<td align="center" valign="bottom">4</td>
<td align="center" valign="bottom">1.9</td>
<td align="center" valign="bottom">0.48</td>
<td align="center" valign="bottom">2.45</td>
<td align="center" valign="bottom">0.1</td>
</tr>
<tr>
<td align="left" valign="bottom">Residual</td>
<td align="center" valign="bottom">12</td>
<td align="center" valign="bottom">2.3</td>
<td align="center" valign="bottom">0.19</td>
<td align="center" valign="bottom">2.98</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="6">Replication&#x202F;&#x00D7;&#x202F;Subject&#x202F;&#x00D7;&#x202F;Date stratum</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="3"><italic>Degrees of freedom correction factor 0.6833</italic></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Date</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">1.4</td>
<td align="center" valign="bottom">0.69</td>
<td align="center" valign="bottom">10.53</td>
<td align="center" valign="bottom">0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Date x treatment</td>
<td align="center" valign="bottom">8</td>
<td align="center" valign="bottom">2.6</td>
<td align="center" valign="bottom">0.33</td>
<td align="center" valign="bottom">5.08</td>
<td align="center" valign="bottom">0.002</td>
</tr>
<tr>
<td align="left" valign="bottom">Residual</td>
<td align="center" valign="bottom">22</td>
<td align="center" valign="bottom">1.4</td>
<td align="center" valign="bottom">0.07</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Total</td>
<td align="center" valign="bottom">51</td>
<td align="center" valign="bottom">8.2</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p><xref ref-type="fig" rid="fig2">Figure 2A</xref> reports mean values for crop yields amongst the five treatments and across three sampling&#x202F;months. Crops amended with co-compost + urine yielded more red chilies than the no fertilizer and fertilizer treatments during the first month. This indicates that the co-compost + urine treatment grew faster, as exhibited by shorter days to flowering and subsequent ripening. The increase in yields exhibited by chilies from the no-fertilizer treatment and the abrupt decline in the third harvest were caused by the ripening of fruits and flowers not previously harvested.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Five treatments showing treatment differences (<italic>n</italic>&#x202F;=&#x202F;4, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, mean&#x202F;&#x00B1;&#x202F;standard error of difference) over time <bold>(A)</bold> and boxplots (showing median values, 25&#x2013;75% quartiles and non-parametric standard error of median, <italic>n</italic>&#x202F;=&#x202F;4) for chilies yield over the three harvesting&#x202F;months (1; February, 2; March and 3; April) <bold>(B)</bold>.</p>
</caption>
<graphic xlink:href="fsufs-09-1616479-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two-panel data visualization shows dry mass results. Panel A is a bar chart comparing dry mass in tons per hectare for different treatments: Chicken Manure, Cocompost + Urine, Control, Fertiliser, and Urine over February, March, and April 2023. Panel B is a box plot illustrating dry mass distribution by treatment. Both panels reveal variation among treatments and months.</alt-text>
</graphic>
</fig>
<p>The chili pepper yield median values did not significantly differ across all treatments, including the no fertilizer treatment (<xref ref-type="fig" rid="fig2">Figure 2B</xref>), indicating the site&#x2019;s inherent fertility. Co-compost is an organic amendment that should undergo mineralization, depending on the soil biotic and abiotic factors, to release bioavailable nutrients (<xref ref-type="bibr" rid="ref62">Perez et al., 2023</xref>). Studies done using sewage sludge in South Africa found that the mineralization rate depends on the agroecological region&#x2019;s climatic conditions, with super-humid areas exhibiting higher mineralization rates (<xref ref-type="bibr" rid="ref57">Ogbazghi et al., 2019</xref>). This implies that to cater to the yield gap, the co-compost should be applied earlier (<xref ref-type="bibr" rid="ref76">Tesfamariam et al., 2020</xref>). Even a survey done on farmers who were using fecal matter-derived co-compost in India found that crop yields increased by 90% for an average of 2 years (<xref ref-type="bibr" rid="ref23">Fendel et al., 2022</xref>). Increased lettuce yield after applying co-compost was also reported under dryland agriculture in Malawi (<xref ref-type="bibr" rid="ref32">Kamanga et al., 2024</xref>). During this study, the co-compost was applied at 20 tons per hectare, double the conventional application rate, to synchronize nutrient bioavailability with crop requirements during critical growth stages. This means that N was not limiting in co-compost amended crops, further explaining the insignificant differences even with the inorganic fertilizer treatment. Similar results were reported with regard to the use of livestock manure on chili, in which the double application rate increased the yields of chili in the clay soil type (<xref ref-type="bibr" rid="ref34">Khaitov et al., 2019</xref>).</p>
<p>A cumulative yield analysis was also done, and the mean&#x2013;mean scatter plot is shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>. The cumulative mean values for the chili yield were as low as 1.6 tons/ha (fertilizer treatment) and as high as 2.7 tons/ha (co-compost), with a range of between 0.6 tons/ha (1) and 3.6 tons/ha (2). The rainfall was sufficient to promote chili crop growth (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Chili peppers are very sensitive to drought due to their broad range of transpiring leaves, shallow root system, and high stomatal conductance (<xref ref-type="bibr" rid="ref26">Girmay and Wale, 2019</xref>). Given adequate irrigation, chili crops can attain high yields of between 5.4 and 9 tons/ha (<xref ref-type="bibr" rid="ref26">Girmay and Wale, 2019</xref>). However, the 3.6 tons/ha maximum cumulative yield was enough and not affected by periods of water deficits during March and April (<xref ref-type="fig" rid="fig1">Figure 1</xref>). This is confirmed in a crop modeling study using the SWB Sci model, whereby the simulated harvestable dry mass for the same chili variety ranged from 4 to 5.8 tons/ha, while the results validated using empirical findings reported between 2.11 and 3.68 tons/ha of dry yield (<xref ref-type="bibr" rid="ref3">Abebe, 2010</xref>). Dry chili yields of between 1.5 tons/ha (conservative conditions) and 4 tons/ha (target) are expected in South Africa (<xref ref-type="bibr" rid="ref36">KZNDARD, 2019</xref>). Higher yields could have been attained if both red and green chilies had been harvested. Chilies attain higher yields if harvested frequently at a 10&#x2013;14-day interval because removing both red and green chilies stimulates flowering (<xref ref-type="bibr" rid="ref36">KZNDARD, 2019</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Cumulative chili yield shown by mean&#x2013;mean scatter plot (<italic>n</italic>&#x202F;=&#x202F;4) for three monthly harvests.</p>
</caption>
<graphic xlink:href="fsufs-09-1616479-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">A cumulative yield graph shows intersecting red and green lines with yellow diamond markers. The horizontal and vertical axes represent cumulative yield in tonnes per hectare. Lines are labeled with treatments: Cococompost, Control, Fertiliser, and Chicken Manure.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec16">
<label>3.3</label>
<title>Soil microbiology</title>
<p>Mean squares for soil health indicators in different fertilizer amendments are shown in <xref ref-type="table" rid="tab4">Table 4</xref>. The application of urine and co-compost did not significantly change most of the measured soil health indicators, except for organic C, extractable P, and microbial activity, which significantly differed at the 5% significance level.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Mean squares for soil biochemical analyses and microbial communities in different fertilizer amendments (<italic>n</italic> =&#x202F;4).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Source of variation</th>
<th align="center" valign="top">DF</th>
<th align="center" valign="top">Missing value</th>
<th align="center" valign="top">Soil moisture</th>
<th align="center" valign="top">Organic C</th>
<th align="center" valign="top">Electrical conductivity</th>
<th align="center" valign="top">pH (water)</th>
<th align="center" valign="top">NO<sub>3</sub></th>
<th align="center" valign="top">NH<sub>4</sub></th>
<th align="center" valign="top">Nmin&#x2013;NH<sub>4</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Replication</td>
<td align="center" valign="middle">3</td>
<td/>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">0.03</td>
<td align="center" valign="middle">700</td>
<td align="center" valign="middle">0.6</td>
<td align="center" valign="middle">8.4</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="middle">0.2</td>
</tr>
<tr>
<td align="left" valign="middle">Treatment</td>
<td align="center" valign="middle">4</td>
<td/>
<td align="center" valign="middle">0.0004</td>
<td align="center" valign="middle">0.11&#x002A;</td>
<td align="center" valign="middle">2,117</td>
<td align="center" valign="middle">0.02</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">1</td>
</tr>
<tr>
<td align="left" valign="middle">Residual</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">&#x2212;1</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">0.03</td>
<td align="center" valign="middle">6,015</td>
<td align="center" valign="middle">0.1</td>
<td align="center" valign="middle">47</td>
<td align="center" valign="middle">40</td>
<td align="center" valign="middle">1</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="center" valign="middle">18</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Source of variation</th>
<th align="center" valign="middle">DF</th>
<th align="center" valign="middle">Missing value</th>
<th align="center" valign="bottom">Bacterial Shannon index</th>
<th align="center" valign="bottom">Bacterial Simpson&#x2019;s index</th>
<th align="center" valign="bottom">Bacterial species richness</th>
<th align="center" valign="bottom">Fungal Shannon index</th>
<th align="center" valign="bottom">Fungal Simpson&#x2019;s index</th>
<th align="center" valign="bottom">Fungal species richness</th>
<th align="center" valign="middle">P (Bray II)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Replication</td>
<td align="center" valign="middle">3</td>
<td/>
<td align="center" valign="bottom">0.13</td>
<td align="center" valign="bottom">0.005</td>
<td align="center" valign="bottom">17</td>
<td align="center" valign="bottom">0.09</td>
<td align="center" valign="bottom">0.001</td>
<td align="center" valign="bottom">37</td>
<td align="center" valign="middle">3,500</td>
</tr>
<tr>
<td align="left" valign="middle">Treatment</td>
<td align="center" valign="middle">4</td>
<td/>
<td align="center" valign="bottom">0.02</td>
<td align="center" valign="bottom">0.002</td>
<td align="center" valign="bottom">2</td>
<td align="center" valign="bottom">0.06</td>
<td align="center" valign="bottom">0.002</td>
<td align="center" valign="bottom">27</td>
<td align="center" valign="middle">9,800&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">Residual</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">&#x2212;1</td>
<td align="center" valign="bottom">0.74</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">190</td>
<td align="center" valign="bottom">0.2</td>
<td align="center" valign="bottom">0.004</td>
<td align="center" valign="bottom">57</td>
<td align="center" valign="middle">2,700</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="center" valign="middle">18</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Source of variation</th>
<th align="center" valign="middle">DF</th>
<th align="center" valign="middle">Missing value</th>
<th align="center" valign="middle">Active carbon</th>
<th align="center" valign="middle">Acid phosphatase</th>
<th align="center" valign="middle">Alkaline phosphatase</th>
<th align="center" valign="middle">Urease</th>
<th align="center" valign="middle">&#x03B2;-glucosidase</th>
<th align="center" valign="middle">Microbial activity</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Replication</td>
<td align="center" valign="middle">3</td>
<td/>
<td align="center" valign="middle">3,939</td>
<td align="center" valign="middle">75,505</td>
<td align="center" valign="middle">473,571</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">4,500</td>
<td align="center" valign="middle">3,067</td>
</tr>
<tr>
<td align="left" valign="middle">Treatment</td>
<td align="center" valign="middle">4</td>
<td/>
<td align="center" valign="middle">14,059</td>
<td align="center" valign="middle">97,282</td>
<td align="center" valign="middle">74,081</td>
<td align="center" valign="middle">21.4</td>
<td align="center" valign="middle">7,740</td>
<td align="center" valign="middle">17,359&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">Residual</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">&#x2212;1</td>
<td align="center" valign="middle">4,308</td>
<td align="center" valign="middle">161,853</td>
<td align="center" valign="middle">198,323</td>
<td align="center" valign="middle">8.2</td>
<td align="center" valign="middle">6,134</td>
<td align="center" valign="middle">3,246</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="center" valign="middle">18</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Significant differences at the 5% level.</p>
</table-wrap-foot>
</table-wrap>
<sec id="sec17">
<label>3.3.1</label>
<title>Organic carbon</title>
<p>The mean differences in organic C are reported in <xref ref-type="table" rid="tab5">Table 5</xref>. Comparisons amongst the treatments showed significant differences (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) in organic C between no fertilizer and co-compost + urine (<xref ref-type="table" rid="tab5">Table 5</xref>). The soil organic C significantly increased with the application of co-compost + urine compared to no fertilizer, urine, or fertilizer treatments. This is because co-compost contains high carbon content (<xref ref-type="table" rid="tab2">Table 2</xref>). Depending on the forms of organic C, the compost plays a role in sequestrating C when non-digestible forms are left to accumulate in the soil (<xref ref-type="bibr" rid="ref91">Zhao et al., 2020</xref>). In this case, the active organic C fractions did not significantly differ across all treatments (<xref ref-type="table" rid="tab5">Table 5</xref>). The stable organic C forms increase water and nutrient retention capacity, which is important for climate change adaptation.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Bonferroni test showing treatment differences (<italic>n</italic>&#x202F;=&#x202F;4; mean&#x202F;&#x00B1;&#x202F;standard error of mean deviation) for soil moisture, organic, extractable P, organic carbon, and microbial activity.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">Soil Moisture (Dry soil/g)</th>
<th align="center" valign="top">P (Bray II) (&#x03BC;g&#x202F;g<sup>&#x2212;1</sup> dry soil)</th>
<th align="center" valign="top">Organic carbon %</th>
<th align="center" valign="top">Microbial activity (mg fluorescein&#x00B7;kg<sup>&#x2212;1</sup> soil&#x00B7;h<sup>&#x2212;1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Chicken manure</td>
<td align="center" valign="top">0.937<sup>a</sup> &#x00B1;&#x202F;0.015</td>
<td align="center" valign="top">103<sup>a</sup> &#x00B1;&#x202F;16</td>
<td align="center" valign="top">0.81<sup>ab</sup> &#x00B1;&#x202F;0.08</td>
<td align="center" valign="top">62<sup>a</sup> &#x00B1;&#x202F;8</td>
</tr>
<tr>
<td align="left" valign="top">Co-compost + Urine</td>
<td align="center" valign="top">0.945<sup>a</sup> &#x00B1;&#x202F;0.013</td>
<td align="center" valign="top">145<sup>a</sup> &#x00B1;&#x202F;47</td>
<td align="center" valign="top">1.10<sup>b</sup> &#x00B1;&#x202F;0.12</td>
<td align="center" valign="top">14<sup>bc</sup> &#x00B1;&#x202F;7</td>
</tr>
<tr>
<td align="left" valign="top">No Fertilizer</td>
<td align="center" valign="top">0.940<sup>a</sup> &#x00B1;&#x202F;0.011</td>
<td align="center" valign="top">30<sup>b</sup> &#x00B1;&#x202F;12</td>
<td align="center" valign="top">0.66<sup>a</sup> &#x00B1;&#x202F;0.11</td>
<td align="center" valign="top">31<sup>b</sup> &#x00B1;&#x202F;17</td>
</tr>
<tr>
<td align="left" valign="top">Fertilizer</td>
<td align="center" valign="top">0.945<sup>a</sup> &#x00B1;&#x202F;0.012</td>
<td align="center" valign="top">38<sup>b</sup> &#x00B1;&#x202F;18</td>
<td align="center" valign="top">0.73<sup>ab</sup> &#x00B1;&#x202F;0.04</td>
<td align="center" valign="top">9<sup>c</sup> &#x00B1;&#x202F;2</td>
</tr>
<tr>
<td align="left" valign="top">Urine</td>
<td align="center" valign="top">0.965<sup>a</sup> &#x00B1;&#x202F;0.010</td>
<td align="center" valign="top">43<sup>b</sup> &#x00B1;&#x202F;23</td>
<td align="center" valign="top">0.75<sup>ab</sup> &#x00B1;&#x202F;0.02</td>
<td align="center" valign="top">13<sup>bc</sup> &#x00B1;&#x202F;5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Superscript letters (a, b, c) indicate statistically significant differences among treatments within each column. Values sharing the same letter are not significantly different (<italic>p</italic> &#x003E; 0.05), while values with different letters are significantly different (<italic>p</italic> &#x003C; 0.05) according to the Bonferroni test.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<label>3.3.2</label>
<title>Microbial activity</title>
<p>The microbial activity was significantly lower in co-compost + urine treatment compared to chicken manure amendment, despite the two differing insignificantly in the observed soil organic C value (<xref ref-type="table" rid="tab5">Table 5</xref>). This observation is frequently reported, as microbial activity is regulated by a combination of factors, including the physical, chemical, and biological properties of the soil (edaphic factors) and the quality of the substrate (<xref ref-type="bibr" rid="ref84">Wang et al., 2024</xref>; <xref ref-type="bibr" rid="ref25">Furtak and Ga&#x0142;&#x0105;zka, 2019</xref>; <xref ref-type="bibr" rid="ref51">Muneer et al., 2022</xref>; <xref ref-type="bibr" rid="ref14">Cao et al., 2016</xref>). The study was done on one soil type, ruling out the effect of soil properties as an explanation. Soil moisture content also plays an important role in microbial activity. Amending soils with organic matter increases soil moisture retention capacity, further stimulating&#x202F;microbial activity in a water-limited soil (<xref ref-type="bibr" rid="ref47">Mart&#x00ED;n-Lammerding et al., 2021</xref>; <xref ref-type="bibr" rid="ref29">Hueso et al., 2012</xref>). All the treatments were subjected to dryland conditions, but the soil moisture content did not significantly differ (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05) across all treatments (<xref ref-type="table" rid="tab5">Table 5</xref>). Even the microbial activity in the no-fertilizer treatment did not significantly differ from the co-compost + urine (<xref ref-type="app" rid="app1">Table A1</xref>). These findings explain that, while it is recognized that organic amendments increase organic matter, which boosts microbial activity, their impact within one season was not effective. Even most studies that looked at the effects of organic amendments on microbial activity were done over long term of at least 2&#x202F;years (<xref ref-type="bibr" rid="ref18">Desjardins et al., 2025</xref>, <xref ref-type="bibr" rid="ref67">Sayre et al., 2023</xref>, <xref ref-type="bibr" rid="ref83">Wang and Jiao, 2022</xref>). Further, calling for long-term monitoring of the relationship between organic fertilizer amendment and improved soil moisture retention in dryland agriculture.</p>
<p>Variations in organic fertilizer quality, such as C: N ratio, pH, nutrient content, organic matter decomposability, type of organic matter, and maturity, contribute to microbial activity. Characteristics of organic amendments used are shown in <xref ref-type="table" rid="tab2">Table 2</xref>. Chicken manure has high N content (5%) compared to co-compost (1.2%). The C: N ratio plays a role in microbial activity; soil amendments with high C: N ratios have low decomposition rates because microbes have to source N from somewhere, while low C: N ratios provide a balance between required C and N (<xref ref-type="bibr" rid="ref37">Li et al., 2018</xref>), and initiate protein synthesis required for enzymes and reproduction (<xref ref-type="bibr" rid="ref83">Wang and Jiao, 2022</xref>), leading to higher microbial biomass. The higher NPK content in chicken manure (<xref ref-type="table" rid="tab2">Table 2</xref>) explains higher microbial activities in the soil compared to the use of co-compost, regardless of the time frame. When it comes to the time frame <xref ref-type="bibr" rid="ref30">Jin et al. (2022)</xref>, found that a single-season application of chicken manure was enough to change the microbial soil processes.</p>
<p>Another possibility could be the stability of the amendment used. Poorly decomposed organic amendments with high moisture content trigger microbial activities because of high concentrations of readily available organic matter, nutrients, microbial loads, and a shift in soil microbial structure (<xref ref-type="bibr" rid="ref41">Liu X. et al., 2023</xref>). The co-compost used was stabilized by composting for over 5 months, which allowed organic matter to degrade; hence, its application in soil could not trigger microbial activity, just like unstabilized chicken manure. <xref ref-type="bibr" rid="ref79">Urra et al. (2019)</xref> confirmed that fresh unstabilized chicken and horse manure increase soil microbial activity due to the presence of organic N and P forms. Some studies attributed higher microbial activity in chicken manure-amended soil to changes in soil microbial community structure (<xref ref-type="bibr" rid="ref17">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="ref30">Jin et al., 2022</xref>). The studies that reported similar results of chicken manure, although it was not clearly mentioned to be composted, were done for 2 years in soils with a pH of 8.8 (<xref ref-type="bibr" rid="ref17">Chen et al., 2023</xref>).</p>
<p>The presence of xenobiotics such as heavy metals and micropollutants sewage sludge-derived co-compost is raising significant concerns about their ecotoxicity. High concentrations of heavy metals affect soil microbial activities by disrupting cationic exchange processes while altering soil pH (<xref ref-type="bibr" rid="ref1">Abd-Elhalim et al., 2025</xref>). However, the sewage sludge-derived co-compost was low in heavy metals, which was below the South African fertilizer legislation standard limits (<xref ref-type="table" rid="tab2">Table 2</xref>). Even the co-compost pH was within the optimum ranges for agricultural use, and the reported soil pH did not significantly differ (<xref ref-type="table" rid="tab5">Table 5</xref>). Meaning that the co-compost was environmentally safe for agricultural use. However, <xref ref-type="bibr" rid="ref60">Panneerselvam et al. (2022)</xref> discussed the importance of micropollutants such as drugs and pesticides, which might find their way into the wastewater treatment system, contaminating the resulting sludge. Micropollutants are deemed emerging contaminants because there are no consistent regulations to guide their use against ecotoxicity (<xref ref-type="bibr" rid="ref89">Yu et al., 2025</xref>; <xref ref-type="bibr" rid="ref28">H&#x00E4;fner et al., 2023</xref>; <xref ref-type="bibr" rid="ref27">Gul et al., 2022</xref>). This is one of the grey areas in the use of human excreta-derived fertilizers, requiring further studies.</p>
<p>Higher microbial activity is not always good for agriculture because increased microbial biomass immobilizes inorganic N, making it unavailable for crop uptake. Meaning that co-compost is a good soil amendment in dryland agriculture because of its C: N ratio from mixing organic garden waste and sewage sludge.</p>
<p>Closing nutrient loops and enhancing soil health using biobased fertilizers such as urine and co-compost is important. The findings showed that even the microbial activity in co-compost + urine, urine, and fertilizer treatments was significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) lower than no-fertilizer amendment (<xref ref-type="table" rid="tab5">Table 5</xref>). This was not expected because organic carbon from co-compost and mineral nutrients provided by urine were supposed to boost microbial activity. There are mixed findings on this matter in the literature. <xref ref-type="bibr" rid="ref89">Yu et al. (2025)</xref> found that the application of human urine in soil can increase microbial activity due to the presence of urea, which stimulates urease activity, as well as the presence of dissolved organic carbon and a shift in soil pH due to an increase in electrical conductivity. This was reported in similar studies, whereby the addition of bovine urine increased microbial activity after stimulating ammonium-nitrifying bacteria (<xref ref-type="bibr" rid="ref59">Orwin et al., 2010</xref>). Despite high soil salinity due to the use of urine, the microbial activity still increases in a similar way to applying inorganic fertilizers (<xref ref-type="bibr" rid="ref65">Rumeau et al., 2024</xref>), which is consistent with the lack of significant differences between urine and fertilizer treatments. However, higher microbial activity in non-amended soil shows that the application of amendments altered natural processes in the short run. A meta-analysis by <xref ref-type="bibr" rid="ref42">Liu W. et al. (2023)</xref> found that there are various factors that can stimulate microbial activity, an initial change in soil pH being one of them. However, this cannot be a cause in this case because the soil pH did not significantly differ across all treatments (<xref ref-type="table" rid="tab5">Table 5</xref>). As confirmed in literature, sometimes the application of urine fertilizers elevates the soil salinity, shifting the microbial balance by reducing the microbial balance of sensitive microbes such as <italic>Bacillota</italic> (<xref ref-type="bibr" rid="ref89">Yu et al., 2025</xref>). The same applies to the use of inorganic fertilizers (<xref ref-type="bibr" rid="ref15">Carrascosa et al., 2023</xref>; <xref ref-type="bibr" rid="ref39">Lian et al., 2022</xref>). A&#x202F;&#x003E;&#x202F;25% decline in microbial activities in the soil amended with inorganic fertilizers was also reported (<xref ref-type="bibr" rid="ref22">Elbl et al., 2019</xref>). A stable soil ecosystem is created when inorganic fertilizers are applied together with manure or organic amendments (<xref ref-type="bibr" rid="ref39">Lian et al., 2022</xref>). Reduction of microbial activity after the use of co-compost and urine could have been triggered by microbial stress. Microbial stress in this context refers to the ability of microorganisms to adapt to adverse conditions such as pH, temperature, and other extreme conditions (<xref ref-type="bibr" rid="ref2">Abdul Rahman et al., 2021</xref>). Some microorganisms may succumb due to their inability to synthesize proteins that help them adapt to environmental stresses, as was evidenced in studies done using cow urine (<xref ref-type="bibr" rid="ref13">Bertram, 2009</xref>). However, in this juncture, the influence of soil salinity in response to the use of urine is not a factor because the electrical conductivity did not significantly differ (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05) across all treatments (<xref ref-type="table" rid="tab5">Table 5</xref>). Underscoring the need for further investigations into this matter with longer-term studies, as proposed by <xref ref-type="bibr" rid="ref89">Yu et al. (2025)</xref>.</p>
</sec>
<sec id="sec19">
<label>3.3.3</label>
<title>Enzymatic activity</title>
<p>The sum of metabolic processes taking place in the soil can be determined by enzymatic activities. This section digs deep into specific enzymes responsible for nutrient cycling. During&#x202F;microbial degradation of organic matter in the soil, enzymes such as <italic>&#x03B2;</italic>-Glucosidase are released to break down &#x03B2;-1,4-glycosidic bonds in glucosides, oligosaccharides, and various glycoconjugates, including cellulose from organic matter (<xref ref-type="bibr" rid="ref5">Adetunji et al., 2017</xref>; <xref ref-type="bibr" rid="ref12">Bastida et al., 2008</xref>; <xref ref-type="bibr" rid="ref8">Ansari et al., 2023</xref>). When it comes to nitrogen cycling, urease enzymes hydrolyze urea into ammonium-N, which, depending on soil ecological factors such as pH, can further be nitrified by nitrifying bacteria into plant bioavailable forms (<xref ref-type="bibr" rid="ref89">Yu et al., 2025</xref>). However, both the urease and the &#x03B2;-Glucosidase activities in this study did not significantly differ across all the treatment groups (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05) (<xref ref-type="table" rid="tab5">Table 5</xref>). This further explains that the higher microbial activities in chicken manure were not linked to the amendments applied. This is further supported by the fact that the soil active carbon (labile carbon) pool, which serves as the readily available food source for microbes (<xref ref-type="bibr" rid="ref59">Orwin et al., 2010</xref>; <xref ref-type="bibr" rid="ref67">Sayre et al., 2023</xref>; <xref ref-type="bibr" rid="ref38">Li et al., 2024</xref>) did not significantly change in response to the amendments applied. This implies that the application time frame and loading rates could have been very short to show significant changes in the soil. Most studies were done for 2 years or beyond (<xref ref-type="bibr" rid="ref8">Ansari et al., 2023</xref>; <xref ref-type="bibr" rid="ref42">Liu W. et al., 2023</xref>; <xref ref-type="bibr" rid="ref20">Drosos et al., 2023</xref>). Therefore, the six-month experimental period, although during the rainy season of the study site, which received 1,656&#x202F;mm of rainfall (<xref ref-type="fig" rid="fig1">Figure 1C</xref>), was not enough to influence soil health.</p>
</sec>
<sec id="sec20">
<label>3.3.4</label>
<title>Nitrogen and phosphorus mineralization</title>
<p><xref ref-type="table" rid="tab5">Table 5</xref> reports on N mineralization and extractable P results. The N mineralization rate did not significantly differ amongst all treatments (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05), while extractable P significantly differed (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Chicken manure and co-compost had significantly higher median values of extractable P. This is attributed to relatively high extractable P concentrations in organic amendments (<xref ref-type="table" rid="tab2">Table 2</xref>). This cannot be linked to P mineralization, because the acid and alkaline phosphatase activities did not significantly differ in all treatments (<xref ref-type="table" rid="tab5">Table 5</xref>). Several studies have confirmed that the P in untreated urine is generally lower than N and K, and these are lower than in an inorganic fertilizer (<xref ref-type="bibr" rid="ref31">J&#x00F6;nsson et al., 2004</xref>; <xref ref-type="bibr" rid="ref63">Richert et al., 2010</xref>; <xref ref-type="bibr" rid="ref7">Alemayehu et al., 2020</xref>). Low concentrations of extractable P in soils that were applied inorganic fertilizer resulted from high solubility of Single Super Phosphate, uptake by plants, or loss from the topsoil. Organic matter increases the surface area for soil P adsorption capacity, allowing soils to capture and retain inorganic phosphates. This explains why the co-compost and urine combination and chicken manure had higher extractable P median values. The ability of organic amendments such as co-compost to improve nutrient retention by creating adsorption sites that retain cations and anions is well-documented and recommended from environmental and agronomic perspectives (<xref ref-type="bibr" rid="ref79">Urra et al., 2019</xref>; <xref ref-type="bibr" rid="ref72">Snyman et al., 2006</xref>; <xref ref-type="bibr" rid="ref24">Fuhrmann et al., 2022</xref>). The only challenge is when phosphorus is transported to nearby water bodies through surface runoff, and causes pollution if proper slope management strategies are not put in place (<xref ref-type="bibr" rid="ref70">Sharpley, 2016</xref>).</p>
</sec>
<sec id="sec21">
<label>3.3.5</label>
<title>Microbial community</title>
<p>Microbial activity may not be a good indicator of soil health in the short run, as it did not show the activity of beneficial microbes around nutrient cycling. Lower microbial activities were observed in co-compost, urine, and even in inorganic fertilizer-amended soils, while relatively higher in the chicken manure and even in unamended soils. Some other soil biodiversity indicators, such as the Shannon Index, the Simpson Index, and Species richness, can be used as soil health indicators. The Shannon index quantifies the diversity of microbial communities by integrating the number of different species (richness) and their relative abundance (<xref ref-type="bibr" rid="ref49">Meng et al., 2016</xref>). This has been used in various agroecosystems to assess the effects of various management practices on soil microbial diversity (<xref ref-type="bibr" rid="ref49">Meng et al., 2016</xref>; <xref ref-type="bibr" rid="ref67">Sayre et al., 2023</xref>; <xref ref-type="bibr" rid="ref20">Drosos et al., 2023</xref>). These indicators did not significantly differ across all the treatments (<xref ref-type="table" rid="tab5">Table 5</xref>), indicating that the short-term use of the organic amendments did not significantly change microbial diversity, regardless of notable differences in soil organic carbon compositions and microbial activity. This clearly shows that the microbial responses to organic amendments was not significant over the studied period.</p>
</sec>
</sec>
<sec id="sec22">
<label>3.4</label>
<title>Groundwater contamination</title>
<p>The sewage sludge is a byproduct of the wastewater treatment processes, whose quality depends on anthropogenic activities from wastewater generation to the final destination. Stormwater intrusion and illegal discharge of industrial waste introduce heavy metals into the wastewater treatment system. Therefore, to safeguard the use of sewage sludge-derived fertilizers, there are regulations to limit the concentrations of heavy metals and pathogens. When it comes to pathogens of concern, <italic>E. coli</italic>, helminths, and Salmonella are used as indicators. However, the heavy metals accumulation was not included in the study because the product used complied with the South African legislation. In this case, <italic>E. coli</italic> was monitored due to potential regrowth after treatment (<xref ref-type="bibr" rid="ref69">Sharma and Reynnells, 2016</xref>; <xref ref-type="bibr" rid="ref35">Kim et al., 2009</xref>; <xref ref-type="bibr" rid="ref90">Zaleski et al., 2005</xref>). Based on findings in <xref ref-type="table" rid="tab6">Table 6</xref>, <italic>E. coli</italic> was not detected in groundwater because of the thermophilic sludge treatment processes that deactivated microorganisms (<xref ref-type="bibr" rid="ref66">RUNRES, 2023</xref>). The same applies to nitrates, produced from microbial processes, which, due to their negative charge, easily leach in the soil, causing blue baby syndrome to consumers using groundwater. Its absence from groundwater is a good indicator of public health safety. Even though <italic>E. coli</italic> was not detected; potential pathogen risks from biosolids should not be overruled. Therefore, the standard multibarrier approaches recommended by WHO, as well as monitoring the groundwater, should always be implemented. The South African Guideline for utilization and disposal of sewage sludge recommends that nutrients be monitored before and after each planting, while trace elements be monitored at least once in 5 years on each receiving soil (<xref ref-type="bibr" rid="ref72">Snyman et al., 2006</xref>).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Groundwater sampling results for <italic>E. coli</italic> and nitrate before planting and 6 months after crop establishment.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sample number</th>
<th align="center" valign="top">Sampling time</th>
<th align="center" valign="top">Nitrate</th>
<th align="center" valign="top">
<italic>E. coli</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">1</td>
<td align="center" valign="bottom">Nov</td>
<td align="center" valign="bottom">nd</td>
<td align="center" valign="bottom">&#x003C;1</td>
</tr>
<tr>
<td align="left" valign="bottom">2</td>
<td align="center" valign="bottom">Nov</td>
<td align="center" valign="bottom">nd</td>
<td align="center" valign="bottom">&#x003C;1</td>
</tr>
<tr>
<td align="left" valign="bottom">3</td>
<td align="center" valign="bottom">Nov</td>
<td align="center" valign="bottom">nd</td>
<td align="center" valign="bottom">&#x003C;1</td>
</tr>
<tr>
<td align="left" valign="bottom">1</td>
<td align="center" valign="bottom">May</td>
<td align="center" valign="bottom">nd</td>
<td align="center" valign="bottom">&#x003C;1</td>
</tr>
<tr>
<td align="left" valign="bottom">2</td>
<td align="center" valign="bottom">May</td>
<td align="center" valign="bottom">nd</td>
<td align="center" valign="bottom">&#x003C;1</td>
</tr>
<tr>
<td align="left" valign="bottom">3</td>
<td align="center" valign="bottom">May</td>
<td align="center" valign="bottom">nd</td>
<td align="center" valign="bottom">&#x003C;1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="sec23">
<label>4</label>
<title>Conclusions and recommendations</title>
<sec id="sec24">
<label>4.1</label>
<title>Conclusion</title>
<p>This study examined the short-term effects of sewage sludge-derived co-compost and urine on crop yield, soil health, and potential groundwater contamination under dryland farming. Chili yields showed no significant differences among treatments, likely due to the soil&#x2019;s inherent fertility, harvesting practices, and favorable climatic conditions.</p>
<p>In terms of soil health, organic carbon, microbial activity, and extractable phosphorus (P) responded significantly to treatments. Both co-compost + urine and chicken manure increased soil organic carbon, demonstrating their potential for carbon sequestration. However, microbial activity was lower in the co-compost + urine treatment compared to the no-fertilizer and chicken manure treatments. This reduction may have been caused by urine-induced stress on microbial processes, though the short study duration prevents firm conclusions and highlights the need for further research.</p>
<p>Microbial enzymatic activity (urease and <italic>&#x03B2;</italic>-glucosidase) and microbial diversity (Shannon Index) did not differ significantly among treatments (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05), underscoring the importance of long-term studies. Such studies could better capture the effects of repeated organic matter additions on soil physical and chemical properties, microbial communities, and their functions. Extractable P was significantly higher with co-compost + urine and chicken manure amendments. Yet, acid and alkaline phosphatase enzyme activities showed no significant differences across treatments, suggesting that organic matter degradation was insufficient to release additional nutrients. Thus, these organic amendments appear to have served as direct sources of bioavailable P rather than stimulating soil enzymatic activity. When it comes to safety concerns, the studies showed no significant change in <italic>E. coli</italic> and nitrate content in groundwater. Overall, the findings indicate that sewage sludge-derived co-compost combined with urine has potential for nutrient recycling and carbon sequestration in dryland agriculture.</p>
</sec>
<sec id="sec25">
<label>4.2</label>
<title>Recommendations</title>
<p>Sewage sludge-derived co-compost and urine can be used as an organic fertilizer to ameliorate degraded sandy soils and provide nutrients such as P. However, management practices to control the effects of salinity through urine dilution to minimize potential challenges to the soil microbiota and soil erosion management practices are essential to protect the environment from pollution. Although there were no pathogen and nutrient contamination risks on nearby groundwater resources, adhering to the WHO Sanitation Safety Planning guidelines is essential.</p>
</sec>
<sec id="sec26">
<label>4.3</label>
<title>Limitations of the study</title>
<p>Due to budget constraints, other soil health measurement methods, such as qPCR, were not done to assess actual microbial communities and link them to specific nutrient cycling. The study was done in a single season and at one specific site, which limits its generalizability to other areas. Future studies should extend monitoring to at least 2 years across &#x2265;2 agro-ecological sites, retaining the current treatment structure while adding a co-compost isolate urine effects. A comprehensive agronomic panel will pair yield and profitability metrics with quarterly soil-health diagnostics and microbial community profiling via qPCR/amplicon sequencing to address the present study&#x2019;s methodological gap. Environmental safety assessments will expand from the 6-month snapshot to quarterly groundwater monitoring (nitrate, ammonium, phosphate, EC, <italic>E. coli</italic>, Salmonella, and helminths) and semi-annual soil/heavy-metal screening, embedded within a WHO Sanitation Safety Planning framework. Data will be analyzed with mixed-effects longitudinal models and used to parameterize mineralization and risk models to enable extrapolation to other regions and seasons, directly responding to the limitations identified here.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec27">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec28">
<title>Author contributions</title>
<p>WM: Project administration, Formal analysis, Visualization, Writing &#x2013; original draft, Funding acquisition, Supervision, Data curation, Software, Methodology, Conceptualization, Validation, Investigation. NN: Validation, Writing &#x2013; review &#x0026; editing, Formal analysis, Data curation, Investigation. BO: Conceptualization, Writing &#x2013; review &#x0026; editing. TB: Writing &#x2013; review &#x0026; editing, Formal analysis, Investigation, Data curation. AO: Writing &#x2013; review &#x0026; editing, Resources, Funding acquisition, Visualization, Supervision, Conceptualization, Project administration. SO: Supervision, Resources, Writing &#x2013; review &#x0026; editing, Conceptualization, Funding acquisition, Project administration.</p>
</sec>
<sec sec-type="funding-information" id="sec29">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was funded by the Water Research Commission (WRC) of South Africa (Grant No. WRC C2021/2022-00603).</p>
</sec>
<sec sec-type="COI-statement" id="sec30">
<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 sec-type="ai-statement" id="sec31">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
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<app-group>
<app id="app1">
<title>Appendices</title>
<fig position="float" id="fig4">
<label>Figure A1</label>
<caption>
<p>Boxplots showing median values and 25&#x2013;75% interquartile ranges for extractable P (Brays P) concentrations in five fertilizer amendment treatments (<italic>n</italic>&#x202F;=&#x202F;4).</p>
</caption>
<graphic xlink:href="fsufs-09-1616479-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Box plot depicting Brays P levels in milligrams per kilogram across five treatments: chicken manure, cocompost, control, fertilizer, and urine. Cocompost shows the highest variability, with a range from about 50 to 200 milligrams per kilogram. Chicken manure has a smaller range, around 75 to 125. Control, fertilizer, and urine show lower levels, all mostly under 50 milligrams per kilogram. The graph suggests cocompost and chicken manure significantly increase Brays P compared to other treatments.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab7">
<label>Table A1</label>
<caption>
<p>Comparisons of differences between mean values for organic carbon and microbial activity.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Comparisons</th>
<th align="center" valign="bottom" colspan="2">Significant (95% significance level)</th>
</tr>
<tr>
<th align="left" valign="bottom">Comparison</th>
<th align="center" valign="bottom">Organic C</th>
<th align="center" valign="bottom">Microbial activity</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">No fertilizer vs Fertilizer</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">No</td>
</tr>
<tr>
<td align="left" valign="bottom">No fertilizer vs Urine</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">No</td>
</tr>
<tr>
<td align="left" valign="bottom">No fertilizer vs Chicken manure</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">No</td>
</tr>
<tr>
<td align="left" valign="bottom">No fertilizer vs Co-compost + urine</td>
<td align="center" valign="bottom">Yes</td>
<td align="center" valign="bottom">No</td>
</tr>
<tr>
<td align="left" valign="bottom">Fertilizer vs Urine</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">No</td>
</tr>
<tr>
<td align="left" valign="bottom">Fertilizer vs Chicken Manure</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">Yes</td>
</tr>
<tr>
<td align="left" valign="bottom">Fertilizer vs Co-compost + urine</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">No</td>
</tr>
<tr>
<td align="left" valign="bottom">Urine vs Chicken manure</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">Yes</td>
</tr>
<tr>
<td align="left" valign="bottom">Urine vs Co-compost + urine</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">No</td>
</tr>
<tr>
<td align="left" valign="bottom">Chicken manure vs Co-compost + urine</td>
<td align="center" valign="bottom">No</td>
<td align="center" valign="bottom">Yes</td>
</tr>
</tbody>
</table>
</table-wrap>
</app>
</app-group>
</back>
</article>