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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.2025.1535162</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>Residual effect of summer legumes incorporation on soil nutrient status and nutrient use efficiency of <italic>kharif</italic> rice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sunil Kumar</surname> <given-names>Tamminaina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Virdia</surname> <given-names>H. M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Patel</surname> <given-names>K. G.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Chowdhury</surname> <given-names>Manojit</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Satya</surname> <given-names>M. Sri Sai Charan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Mahmoud</surname> <given-names>Samy F.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Elbeltagi</surname> <given-names>Ahmed</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Salem</surname> <given-names>Ali</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<contrib contrib-type="author">
<name><surname>Elwakeel</surname> <given-names>Abdallah Elshawadfy</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<contrib contrib-type="author">
<name><surname>El-Shinawy</surname> <given-names>Doaa M.</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Agronomy, N. M. College of Agriculture, Navsari Agricultural University</institution>, <addr-line>Navsari, Gujarat</addr-line>, <country>India</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Soil Science and Agricultural Chemistry, N. M. College of Agriculture, Navsari Agricultural University</institution>, <addr-line>Navsari, Gujarat</addr-line>, <country>India</country></aff>
<aff id="aff3"><sup>3</sup><institution>Krishi Vigyan Kendra, ICAR-Central Institute of Agricultural Engineering</institution>, <addr-line>Bhopal</addr-line>, <country>India</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Soil Science and Agricultural Chemistry, School of Agricultural Sciences, Malla Reddy University</institution>, <addr-line>Hyderabad</addr-line>, <country>India</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Biotechnology, College of Science, Taif University</institution>, <addr-line>Taif</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff6"><sup>6</sup><institution>Agricultural Engineering Department, Faculty of Agriculture, Mansoura University</institution>, <addr-line>Mansoura</addr-line>, <country>Egypt</country></aff>
<aff id="aff7"><sup>7</sup><institution>Civil Engineering Department, Faculty of Engineering, Minia University</institution>, <addr-line>Minya</addr-line>, <country>Egypt</country></aff>
<aff id="aff8"><sup>8</sup><institution>Structural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of P&#x00E9;cs</institution>, <addr-line>P&#x00E9;cs</addr-line>, <country>Hungary</country></aff>
<aff id="aff9"><sup>9</sup><institution>Agricultural Engineering Department, Faculty of Agriculture and Natural Resources, Aswan University</institution>, <addr-line>Aswan</addr-line>, <country>Egypt</country></aff>
<aff id="aff10"><sup>10</sup><institution>Environmental Science in Environmental Science Department, Faculty of Science, Damietta University</institution>, <addr-line>Kafr Saad</addr-line>, <country>Egypt</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Manosh Kumar Biswas, University of Leicester, United Kingdom</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Kanu Murmu, Bidhan Chandra Krishi Viswavidyalaya, India</p>
<p>Siddhartha Mukherjee, Ramakrishna Mission Vivekananda Educational and Research Institute, India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Tamminaina Sunil Kumar, <email>suniltammi7082@gmail.com</email></corresp>
<corresp id="c002">Manojit Chowdhury, <email>manojitchowdhury13@gmail.com</email></corresp>
<corresp id="c003">Ali Salem, <email>salem.ali@mik.pte.hu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>05</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>9</volume>
<elocation-id>1535162</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>04</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Sunil Kumar, Virdia, Patel, Chowdhury, Satya, Mahmoud, Elbeltagi, Salem, Elwakeel and El-Shinawy.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Sunil Kumar, Virdia, Patel, Chowdhury, Satya, Mahmoud, Elbeltagi, Salem, Elwakeel and El-Shinawy</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Sustainable nutrient management in rice-based cropping systems is essential to counteract soil degradation and excessive fertilizer dependence. Legume residue incorporation has been proposed as a strategy to improve soil fertility and nutrient use efficiency (NUE), yet its effectiveness under varying fertilizer regimes remains inadequately explored. A field experiment was conducted with four main treatments, i.e., green gram (<italic>Vigna radiata</italic>), cowpea (<italic>Vigna unguiculata</italic>), dhaincha (<italic>Sesbania aculeata</italic>), and fallow combined with six fertilizer regimes in subplots, i.e., 100% RDF (100 kgN&#x202F;+&#x202F;30&#x202F;kg P<sub>2</sub>O<sub>5</sub>&#x202F;+&#x202F;00 K<sub>2</sub>O kg/ha), 75% RDF (75&#x202F;kg&#x202F;N&#x202F;+&#x202F;22.5&#x202F;kg P<sub>2</sub>O<sub>5</sub>&#x202F;+&#x202F;00 K<sub>2</sub>O kg/ha), 50% RDF (50&#x202F;kg&#x202F;N&#x202F;+&#x202F;15&#x202F;kg P<sub>2</sub>O<sub>5</sub>&#x202F;+&#x202F;00 K<sub>2</sub>O kg/ha), 75% RDF&#x202F;+&#x202F;25% N from FYM, 50% RDF&#x202F;+&#x202F;50% N from FYM, and No-fertilizer application. This study evaluated the effects of legume residue incorporation on soil nutrient status, total nitrogen (N), phosphorus (P) and potassium (K) uptake, and NUE in <italic>kharif</italic> rice over 2&#x202F;years and concluded that rice grown in dhaincha-incorporated plots exhibited significantly higher total NPK uptake, improved soil nutrient status, and enhanced NUE, followed by green gram and cowpea. The highest nitrogen and phosphorus recovery was observed in green gram plots under 100% RDF, while fallow plots with no fertilizer application recorded the lowest nutrient uptake and efficiency. Nitrogen use efficiency, agronomic use efficiency was found higher in dhaincha incorporated plots applied with 100% RDF. Preceding summer legumes with residue incorporation could result in nitrogen economy for succeeding <italic>kharif</italic>, as it responded more in 100% RDF&#x202F;+&#x202F;dhaincha incorporation but at par with dhaincha&#x202F;+&#x202F;75% RDF&#x202F;+&#x202F;25% N from FYM. Incorporating dhaincha residues reduced synthetic fertilizer requirements by 20&#x2013;25%, demonstrating its potential to enhance soil fertility while reducing dependency on chemical inputs.</p>
</abstract>
<kwd-group>
<kwd>nutrient use efficiency</kwd>
<kwd>apparent recovery ratio</kwd>
<kwd>soil nutrient</kwd>
<kwd>nutrient uptake</kwd>
<kwd>rice</kwd>
</kwd-group>
<counts>
<fig-count count="10"/>
<table-count count="14"/>
<equation-count count="9"/>
<ref-count count="85"/>
<page-count count="18"/>
<word-count count="10690"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Crop Biology and Sustainability</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Rice is one of the most important food crops contributing to food and nutritional security (<xref ref-type="bibr" rid="ref36">Ladha et al., 2022</xref>). More than half of the global population cultivating rice making it the third most important crop after sugarcane and maize (<xref ref-type="bibr" rid="ref7">Balakrishnan et al., 2024</xref>). Asia leads global rice production, accounting for 220 million tonnes (28%) of the total 780 million tonnes (<xref ref-type="bibr" rid="ref17">FAO, 2018</xref>). The estimates for rice area, production, and productivity are 46.38&#x202F;Mha, 130.29&#x202F;MT, and 2.8&#x202F;t/ha (<xref ref-type="bibr" rid="ref1">Agricultural Statistics at a Glance, 2022</xref>). Improving fertilizer use efficiency is crucial for enhancing rice productivity and ensuring long-term soil health (<xref ref-type="bibr" rid="ref38">Mahajan et al., 2017</xref>). Conventionally crops only utilize 30&#x2013;40% of the nutrients they receive, and various processes like surface runoff, leaching, volatilization, denitrification, soil erosion, and soil fixation lead to the loss of the remaining nutrients. Less than 20 and 50%, respectively, are the average recovery efficiencies for P and N. Reduced organic matter increases nutrient inadequacies; a two-thirds reduction in organic matter indicates a significant reduction in nutrient availability (<xref ref-type="bibr" rid="ref69">Stangel, 1991</xref>). An over-reliance on chemical fertilizers linked to soil salinization, poor physical and chemical properties, reduced soil microorganisms and declined productivity (<xref ref-type="bibr" rid="ref22">Hepperly et al., 2009</xref>; <xref ref-type="bibr" rid="ref64">Singh, 2000</xref>; <xref ref-type="bibr" rid="ref10">Bhattacharyya et al., 2015</xref>).</p>
<p>To address these, integrated nutrient management system (INM) delivers a balanced nutrient supply by utilizing both organic and chemical sources supporting the sustained fertility (<xref ref-type="bibr" rid="ref78">Walia et al., 2024</xref>). Organic fertilizers, overlooked for their slow release and limited availability (<xref ref-type="bibr" rid="ref18">Geng et al., 2019</xref>) now recognized to improve rhizosphere microbes in rice (<xref ref-type="bibr" rid="ref83">Ye et al., 2020</xref>) partial replacement of inorganic fertilizers (<xref ref-type="bibr" rid="ref49">Pan et al., 2022</xref>; <xref ref-type="bibr" rid="ref56">Puli et al., 2016</xref>), elevated micronutrient levels in the soil (<xref ref-type="bibr" rid="ref50">Pandey and Verma, 2007</xref>). Singh and Kumar found increased production and nutrient usage efficiency in rice with organics. Pulse-based systems demonstrated superior accessible nitrogen (8&#x2013;29%), phosphorus (3&#x2013;35%), and sulfur (3&#x2013;13%) compared to rice-wheat systems (<xref ref-type="bibr" rid="ref46">Nath et al., 2023</xref>). Two weeks post green manuring using <italic>Macuna pruriens</italic>, soil-accessible nitrogen significantly increased (<xref ref-type="bibr" rid="ref41">Maobe et al., 2011</xref>). Dhaincha (<italic>Sesbania aculeata</italic>) significantly accumulated readily available nutrients (NPK and Zn) in the soil (<xref ref-type="bibr" rid="ref55">Pooniya and Shivay, 2012</xref>).</p>
<p>Strategies like residue incorporation can enhance soil health and nutrient use efficiency (<xref ref-type="bibr" rid="ref68">Stagnari et al., 2017</xref>). Legumes incorporation support the physical soil environment, the restoration of organic matter (<xref ref-type="bibr" rid="ref26">Islam et al., 2024</xref>), some varieties seem to reduce the amount of nitrate in the soil profile and increase the activity of soil microbes (<xref ref-type="bibr" rid="ref57">Rani et al., 2022</xref>; <xref ref-type="bibr" rid="ref19">Ghosh et al., 2007</xref>). Low C:N legumes break down and accelerate the process of N mineralization in the soil, supplying nutrients to subsequent crop (<xref ref-type="bibr" rid="ref86">Zhou et al., 2019</xref>). By minimizing N loss, dhiancha in a rice cropping system can complement 50&#x2013;100% artificial N fertilizer (<xref ref-type="bibr" rid="ref45">Naher et al., 2019</xref>). After picking pods, the entire summer green gram/black gram plant was incorporated into the soil, resulting in the economization of rice in the rice-wheat system (40&#x2013;60&#x202F;kg&#x202F;N/ha, 30&#x202F;kg P<sub>2</sub>O<sub>5</sub>, and 15&#x202F;kg K<sub>2</sub>O per ha). Similarly, 6&#x2013;8-week-old dhaincha accumulate about 3.4&#x202F;t/ha dry matter and 100&#x2013;120&#x202F;kg&#x202F;N/ha (<xref ref-type="bibr" rid="ref6">Balaji et al., 2023</xref>). <italic>In situ</italic> incorporation of green manure increased agricultural output while reducing the need for chemical fertilizer applications mitigating degradation (<xref ref-type="bibr" rid="ref37">Lou et al., 2011</xref>; <xref ref-type="bibr" rid="ref47">Nawaz et al., 2017</xref>; <xref ref-type="bibr" rid="ref80">Xia et al., 2018</xref>; <xref ref-type="bibr" rid="ref82">Yang et al., 2019</xref>). Incorporating summer legumes enriches soil fertility by enhancing nitrogen fixation, organic matter decomposition, and microbial activity, leading to improved nutrient availability and higher nutrient use efficiency in <italic>kharif</italic> rice while reducing reliance on synthetic fertilizers (<xref ref-type="bibr" rid="ref31">Kaur et al., 2018</xref>; <xref ref-type="bibr" rid="ref71">Sunil Kumar et al., 2024</xref>; <xref ref-type="bibr" rid="ref85">Zhao T. et al., 2024</xref>). Synergistic application of inorganic fertilizers and organic manures and residue incorporation significantly increased the microbial biomass carbon (MBC), soil organic carbon and soil fertility (<xref ref-type="bibr" rid="ref21">Guo et al., 2015</xref>; <xref ref-type="bibr" rid="ref65">Singh et al., 2008</xref>; <xref ref-type="bibr" rid="ref4">Baishya et al., 2015</xref>; <xref ref-type="bibr" rid="ref81">Yadav and Meena, 2014</xref>).</p>
<p>To evaluate the residual effect of legumes, a formula-based computation was performed using an apparent recovery approach. Only the use of radioactive tracers or a comparable approach, not regular testing, allows for the assessment of the true recovery of the applied fertilizers. Despite being an advanced technological tool (<xref ref-type="bibr" rid="ref60">Russel and Ginn, 2004</xref>), only properly equipped research sites can employ tracers. Thus, the so-called &#x201C;apparent&#x201D; recovery of nutrients supplied by fertilizers is computed for more realistic scenarios. The apparent recovery ratio is a straightforward method that assesses the apparent recovery efficiency of a nutrient by measuring the difference in nutrient uptake between plots receiving nutrients and those devoid of nutrients. The outcome is a percentage of the nutrient administered at the commencement of that particular time interval (<xref ref-type="bibr" rid="ref30">Karklins and Antons Ruza, 2015</xref>). The ratio of nutrient uptake in the fertilized treatment is determined by dividing the nutrient absorption in a plot without nitrogen by the nutrient uptake in a plot with fertilization, represented as a percentage. The proportion of nutrients absorbed and obtained from the applied fertilizer remains unverified, so it is referred to as &#x201C;apparent&#x201D; recovery of fertilizer nitrogen (<xref ref-type="bibr" rid="ref58">Rao et al., 1992</xref>). It is sometimes presumed that crops require an identical quantity of nitrogen regardless of the presence of external sources (fertilizers). Low nutrient use efficiency in Indian rice systems may be due to over-reliance on nitrogen fertilizers, poor application methods and water management and degraded soil health and organic matter, NUE can be improved by balanced fertilization and precision tools such as LCC, SSNM, advanced fertilizer technologies such as nano fertilizers and slow release fertilizers, water smart technologies and sustainable soil management such as biofertilizers, organic amendments (<xref ref-type="bibr" rid="ref20">Govindasamy et al., 2023</xref>; <xref ref-type="bibr" rid="ref23">Hu et al., 2023</xref>).</p>
<p>The study novelty presents <italic>in situ</italic> incorporation of summer legume residues (green gram, cowpea, dhaincha) into soil under varying fertilizer regimes with objective to assess the impact of incorporating summer legume residues on soil nutrient status and nutrient use efficiency in <italic>kharif</italic> rice. The hypothesis of the study was incorporating summer legume residues will significantly exhibit higher nutrient uptake and NUE compared to rice grown in legume residue incorporation compared to fallow treatments. In this context, this article aims to provide a basic analysis of the role of legume incorporation in succeeding in <italic>kharif</italic> rice in terms residual effect and nutrient use efficiency by traditional approaches.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Study site description</title>
<p>This study was conducted from 2021 to 2022 at the College Farm of Navsari Agricultural University, Navsari (Gujarat), India. The site is located at 20.9248&#x00B0;N latitude and 72.9079&#x00B0;E longitude at an altitude of 11.98&#x202F;m (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Physiographically, the area lies in the coastal plains of South Gujarat, characterized by nearly level to gently sloping terrain, with moderate drainage and medium to deep alluvial soils. The region is part of the sub-humid agro-ecological zone, influenced by the Arabian Sea, contributing to high humidity and seasonal monsoonal rainfall (<xref ref-type="bibr" rid="ref32">Keniya et al., 2024</xref>). The weekly rainfall during the <italic>kharif</italic> season ranged from 0.0 to 248&#x202F;mm and 0.0&#x202F;mm to 517&#x202F;mm in 2021 and 2022, respectively. In both years, the rainfall began in June and concluded in September. The mean annual rainfall and temperature during the research period was 248&#x202F;mm and 24&#x00B0;C during 2021, 345&#x202F;mm and 22&#x00B0;C during 2022, as depicted in <xref ref-type="fig" rid="fig2">Figures 2</xref>, <xref ref-type="fig" rid="fig3">3</xref>, respectively. The soil taxonomy of the experimental site was classified under soil order &#x201C;Inceptisols,&#x201D; and soil series &#x201C;Jalapor.&#x201D; He initial soil physico-chemical properties were mentioned the <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Geographical representation of location of experiment.</p></caption>
<graphic xlink:href="fsufs-09-1535162-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Standard week wise meteorological data during the experimental period (2021).</p></caption>
<graphic xlink:href="fsufs-09-1535162-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Standard week wise meteorological data during the experimental period (2022).</p></caption>
<graphic xlink:href="fsufs-09-1535162-g003.tif"/>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Initial soil properties of experimental soil.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;">Particulars</th>
<th align="char" valign="top" char="&#x00D7;">Values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">pH (1:2.5 soil: water ratio)</td>
<td align="center" valign="middle">7.70</td>
</tr>
<tr>
<td align="left" valign="middle">EC (1:2.5 soil: water ratio) at 25 &#x25CB;C (dS/m)</td>
<td align="center" valign="middle">0.29</td>
</tr>
<tr>
<td align="left" valign="middle">Organic carbon (%)</td>
<td align="center" valign="middle">0.72</td>
</tr>
<tr>
<td align="left" valign="middle">Available N (kg/ha)</td>
<td align="center" valign="middle">247.70</td>
</tr>
<tr>
<td align="left" valign="middle">Available P<sub>2</sub>O<sub>5</sub> (kg/ha)</td>
<td align="center" valign="middle">47.82</td>
</tr>
<tr>
<td align="left" valign="middle">Available K<sub>2</sub>O (kg/ha)</td>
<td align="center" valign="middle">377.12</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Field experiment design</title>
<p>The experiment was carried out in two seasons (<italic>viz</italic>., summer and <italic>kharif</italic> seasons) for 2&#x202F;years, 2021 and 2022, in split-plot design with three replications. The treatment on the main plot was summer legumes (T) sown in summer season with four legumes <italic>viz</italic><sup>.</sup>, T<sub>1</sub>: Green gram (<italic>Vigna radiata</italic>), T<sub>2</sub>: Cowpea (<italic>Vigna unguiculata</italic>), T<sub>3</sub>: Dhaincha, and T<sub>4</sub>: Fallow. In sub plots, there were six nutrient management practices (W) <italic>viz.</italic>, W<sub>1</sub>: 100% RDF (100 kgN&#x202F;+&#x202F;30&#x202F;kg P<sub>2</sub>O<sub>5</sub>&#x202F;+&#x202F;00 K<sub>2</sub>O kg/ha), W<sub>2</sub>: 75% RDF (75&#x202F;kg&#x202F;N&#x202F;+&#x202F;22.5&#x202F;kg P<sub>2</sub>O<sub>5</sub>&#x202F;+&#x202F;00 K<sub>2</sub>O kg/ha), W<sub>3</sub>: 50% RDF (50&#x202F;kg&#x202F;N&#x202F;+&#x202F;15&#x202F;kg P<sub>2</sub>O<sub>5</sub>&#x202F;+&#x202F;00 K<sub>2</sub>O kg/ha, W<sub>4</sub>: 75% RDF&#x202F;+&#x202F;25% N from FYM, W<sub>5</sub>: 50% RDF&#x202F;+&#x202F;50% N from FYM, and W<sub>6</sub>: No-fertilizer application. The main plot treatments, i.e., green gram and cowpea) were incorporated into the soil after the crop harvest, whereas dhaincha was incorporated into the soil at 50 % blooming stage aimed at optimizing nutrient cycling, decomposition rate, and nitrogen use efficiency (NUE) for the succeeding rice crop and their respective biomass, straw yield and nutrient content were mentioned in <xref ref-type="table" rid="tab2">Tables 2</xref>, <xref ref-type="table" rid="tab3">3</xref> (amount of biomass we have incorporated and the respective nutrient we have supplied through the summer legumes). A cropping sequence involving the cultivation of summer legumes green gram (<italic>Vigna radiata</italic>), cowpea (<italic>Vigna unguiculata</italic>), and dhaincha (<italic>Sesbania aculeata</italic>) was grown during the summer season, followed by transplanted rice (<italic>Oryza sativa</italic>) in the <italic>kharif</italic> season, with the land left fallow during the <italic>rabi</italic> season. This sequence was repeated on the same field in the subsequent year. After incorporation of the residues each main plot (summer legumes) was divided into six sub-plots and in each subplot rice crop of variety GNR-3 was grown with different nutrient management practices. Farmyard manure (FYM) was applied 15&#x202F;days prior to rice transplanting. Inorganic fertilizers (NPK) were administered based on treatment protocols: phosphorus was applied entirely as a basal dose, nitrogen was split across basal, tillering, and at panicle initiation stages, while potassium was applied at basal and panicle initiation. Biomass from summer legumes (green gram, cowpea, and dhaincha) was incorporated into the soil post-harvest, allowing a one-month decomposition period before rice cultivation. Treatments with 100, 75, and 50% of the recommended NPK levels were applied to evaluate whether the added residue could help make up for the reduced fertilizer in the lower NPK treatments. This approach was used to assess the potential of the residue to partially replace chemical fertilizers. Straw incorporation was employed as a strategy to enhance soil fertility by supplementing inorganic nutrient inputs. After harvesting green gram and cowpea, residual biomass was incorporated into the soil through ploughing. In the case of dhaincha, biomass was incorporated at 50% flowering, followed by irrigation to facilitate decomposition. The chemical and other composition details in the experiment is given in <xref ref-type="table" rid="tab2">Tables 2</xref>&#x2013;<xref ref-type="table" rid="tab5">5</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Fresh biomass, of different summer legumes just before incorporation.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Treatments</th>
<th align="char" valign="top" char="&#x00D7;" colspan="4">Fresh biomass (t/ha)</th>
<th align="char" valign="top" char="&#x00D7;" colspan="4">Straw yield (kg/ha)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;">2021</th>
<th align="char" valign="top" char="&#x00D7;">SD</th>
<th align="char" valign="top" char="&#x00D7;">2022</th>
<th align="char" valign="top" char="&#x00D7;">SD</th>
<th align="char" valign="top" char="&#x00D7;">2021</th>
<th align="char" valign="top" char="&#x00D7;">SD</th>
<th align="char" valign="top" char="&#x00D7;">2022</th>
<th align="char" valign="top" char="&#x00D7;">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">T<sub>1</sub>: Green gram</td>
<td align="center" valign="middle">7.23</td>
<td align="center" valign="top">0.27</td>
<td align="center" valign="middle">7.56</td>
<td align="center" valign="top">0.17</td>
<td align="center" valign="top">2,359</td>
<td align="center" valign="top">168</td>
<td align="center" valign="top">2,589</td>
<td align="center" valign="top">186</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>2</sub>: Cowpea</td>
<td align="center" valign="middle">9.29</td>
<td align="center" valign="top">0.33</td>
<td align="center" valign="middle">9.71</td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">2,565</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top">2,658</td>
<td align="center" valign="top">61</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>3</sub>: Dhaincha</td>
<td align="center" valign="middle">20.32</td>
<td align="center" valign="top">1.61</td>
<td align="center" valign="middle">21.58</td>
<td align="center" valign="top">1.09</td>
<td align="center" valign="top">5,190</td>
<td align="center" valign="top">317</td>
<td align="center" valign="top">5,596</td>
<td align="center" valign="top">509</td>
</tr>
<tr>
<td align="left" valign="middle">&#x002A;T<sub>4</sub>: Fallow</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>Nutrient content of different summer legumes.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Treatments</th>
<th align="char" valign="top" char="&#x00D7;" colspan="9">Nutrient content in straw (%)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;" colspan="3">Nitrogen</th>
<th align="char" valign="top" char="&#x00D7;" colspan="3">Phosphorus</th>
<th align="char" valign="top" char="&#x00D7;" colspan="3">Potassium</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">T<sub>1</sub>: Green gram</td>
<td align="center" valign="middle">0.98</td>
<td align="center" valign="middle">1.12</td>
<td align="center" valign="middle">1.05</td>
<td align="center" valign="middle">0.193</td>
<td align="center" valign="middle">0.201</td>
<td align="center" valign="middle">0.197</td>
<td align="center" valign="middle">1.15</td>
<td align="center" valign="middle">1.14</td>
<td align="center" valign="middle">1.14</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>2</sub>: Cowpea</td>
<td align="center" valign="middle">1.01</td>
<td align="center" valign="middle">1.13</td>
<td align="center" valign="middle">1.07</td>
<td align="center" valign="middle">0.190</td>
<td align="center" valign="middle">0.211</td>
<td align="center" valign="middle">0.200</td>
<td align="center" valign="middle">1.12</td>
<td align="center" valign="middle">1.18</td>
<td align="center" valign="middle">1.15</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>3</sub>: Dhaincha</td>
<td align="center" valign="middle">1.51</td>
<td align="center" valign="middle">1.57</td>
<td align="center" valign="middle">1.54</td>
<td align="center" valign="middle">0.350</td>
<td align="center" valign="middle">0.360</td>
<td align="center" valign="middle">0.360</td>
<td align="center" valign="middle">1.23</td>
<td align="center" valign="middle">1.32</td>
<td align="center" valign="middle">1.27</td>
</tr>
<tr>
<td align="left" valign="middle">&#x002A;T<sub>4</sub>: Fallow</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption><p>Chemical composition of FYM (dry weight basis).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Sr. no.</th>
<th align="char" valign="top" char="&#x00D7;" rowspan="2">Organics</th>
<th align="char" valign="top" char="&#x00D7;" rowspan="2">Year</th>
<th align="char" valign="top" char="&#x00D7;" colspan="3">Nutrient content (%)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;">N</th>
<th align="char" valign="top" char="&#x00D7;">P<sub>2</sub>O<sub>5</sub></th>
<th align="char" valign="top" char="&#x00D7;">K<sub>2</sub>O</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">1</td>
<td align="left" valign="top" rowspan="2">FYM</td>
<td align="center" valign="middle">2021</td>
<td align="center" valign="top">0.43</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">0.41</td>
</tr>
<tr>
<td align="center" valign="middle">2022</td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">0.47</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption><p>Nutrient status prior to the sowing of <italic>kharif</italic> rice and immediately following the harvest of summer legumes (at the time of incorporation).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="3">Treatment</th>
<th align="char" valign="top" char="&#x00D7;" colspan="12">Nutrient status (kg/ha)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;" colspan="3">OC (%)</th>
<th align="char" valign="top" char="&#x00D7;" colspan="3">Nitrogen</th>
<th align="char" valign="top" char="&#x00D7;" colspan="3">Phosphorus (P<sub>2</sub>O<sub>5</sub>)</th>
<th align="char" valign="top" char="&#x00D7;" colspan="3">Potassium (K<sub>2</sub>O)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;">2021</th>
<th align="char" valign="top" char="&#x00D7;">2022</th>
<th align="char" valign="top" char="&#x00D7;">Mean</th>
<th align="char" valign="top" char="&#x00D7;">2021</th>
<th align="char" valign="top" char="&#x00D7;">2022</th>
<th align="char" valign="top" char="&#x00D7;">Mean</th>
<th align="char" valign="top" char="&#x00D7;">2021</th>
<th align="char" valign="top" char="&#x00D7;">2022</th>
<th align="char" valign="top" char="&#x00D7;">Mean</th>
<th align="char" valign="top" char="&#x00D7;">2021</th>
<th align="char" valign="top" char="&#x00D7;">2022</th>
<th align="char" valign="top" char="&#x00D7;">Mean</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">T<sub>1</sub></td>
<td align="center" valign="middle">0.72</td>
<td align="center" valign="middle">0.74</td>
<td align="center" valign="middle">0.73</td>
<td align="center" valign="middle">245</td>
<td align="center" valign="middle">249</td>
<td align="center" valign="middle">247</td>
<td align="center" valign="middle">47</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">48.5</td>
<td align="center" valign="middle">348</td>
<td align="center" valign="middle">364</td>
<td align="center" valign="middle">356</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>2</sub></td>
<td align="center" valign="middle">0.72</td>
<td align="center" valign="middle">0.75</td>
<td align="center" valign="middle">0.73</td>
<td align="center" valign="middle">254</td>
<td align="center" valign="middle">257</td>
<td align="center" valign="middle">256</td>
<td align="center" valign="middle">47</td>
<td align="center" valign="middle">51</td>
<td align="center" valign="middle">49.0</td>
<td align="center" valign="middle">349</td>
<td align="center" valign="middle">371</td>
<td align="center" valign="middle">360</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>3</sub></td>
<td align="center" valign="middle">0.74</td>
<td align="center" valign="middle">0.77</td>
<td align="center" valign="middle">0.75</td>
<td align="center" valign="middle">262</td>
<td align="center" valign="middle">271</td>
<td align="center" valign="middle">267</td>
<td align="center" valign="middle">53</td>
<td align="center" valign="middle">57</td>
<td align="center" valign="middle">55.0</td>
<td align="center" valign="middle">347</td>
<td align="center" valign="middle">387</td>
<td align="center" valign="middle">367</td>
</tr>
<tr>
<td align="left" valign="middle">&#x002A;T<sub>4</sub></td>
<td align="center" valign="middle">0.71</td>
<td align="center" valign="middle">0.70</td>
<td align="center" valign="middle">0.70</td>
<td align="center" valign="middle">243</td>
<td align="center" valign="middle">242</td>
<td align="center" valign="middle">243</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="middle">48</td>
<td align="center" valign="middle">46.5</td>
<td align="center" valign="middle">371</td>
<td align="center" valign="middle">376</td>
<td align="center" valign="middle">373</td>
</tr>
<tr>
<td align="left" valign="middle">Initial</td>
<td align="center" valign="middle">0.72</td>
<td/>
<td/>
<td align="center" valign="middle">248</td>
<td/>
<td/>
<td align="center" valign="middle">48</td>
<td/>
<td/>
<td align="center" valign="middle">377</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>T<sub>1</sub>: Green gram; T<sub>2</sub>: Cowpea; T<sub>3</sub>: Dhaincha (GM); T<sub>4</sub>: Fallow.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Methods of soil and plant analysis</title>
<p>Soil samples were collected at the initiation of the experiment, after the soil fertility gradient stabilizing experiment, before and after the test crop experiment, and the verification trial experiment and analyzed for pH and EC (<xref ref-type="bibr" rid="ref28">Jackson, 1973</xref>), organic carbon (<xref ref-type="bibr" rid="ref79">Walkley and Black, 1934</xref>), available nitrogen (<xref ref-type="bibr" rid="ref70">Subbiah and Asija, 1956</xref>), Olsens extractable phosphorus (<xref ref-type="bibr" rid="ref12">Bray and Kurtz, 1945</xref>), and neutral normal ammonium acetate potassium (<xref ref-type="bibr" rid="ref9004">Knudsen et al., 1982</xref>), respectively. Nutrient content in grain and straw were obtained by total nitrogen by the modified Micro Kjeldhal method (<xref ref-type="bibr" rid="ref13">Bremner, 1996</xref>), phosphorus by the vanadomolybdophosphoric yellow method (<xref ref-type="bibr" rid="ref9005">Morre, 1991</xref>), and potassium by the wet digestion method (<xref ref-type="bibr" rid="ref9003">Chapman and Brown, 1950</xref>), respectively. Nutrient absorption by grain and straw was calculated by multiplying grain yield (kg&#x202F;ha<sup>&#x2212;1</sup>) by nutrient concentration in the grain (%) and straw yield (kg&#x202F;ha<sup>&#x2212;1</sup>) by nutrient concentration in the straw (%), respectively. The total nutrient uptake by the crop is the sum of nutrient absorption in the grain and the straw.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>N, P<sub>2</sub>O<sub>5</sub>, and K<sub>2</sub>O uptake</title>
<p>The nutrient (NPK) uptake (kg/ha) of pods, grain and stover/straw of summer legumes (green gram, cowpea, dhaincha) and rice was worked out by using <xref ref-type="disp-formula" rid="EQ1">Equation 1</xref>, according to (<xref ref-type="bibr" rid="ref71">Sunil Kumar et al., 2024</xref>).</p>
<disp-formula id="EQ1"><label>(1)</label><mml:math id="M1"><mml:mtable columnalign="left" displaystyle="true"><mml:mtr><mml:mtd><mml:mtext>Nutrient uptake</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo><mml:mo>=</mml:mo><mml:mtext>Nutrient content</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mo>%</mml:mo><mml:mo stretchy="true">)</mml:mo></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x00D7;</mml:mo><mml:mtext>Yield</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo><mml:mo>/</mml:mo><mml:mn>100</mml:mn><mml:mspace width="0.25em"/></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Nutrient use efficiencies</title>
<p>The agronomic, physiological and apparent recovery efficiencies were estimated by using <xref ref-type="disp-formula" rid="EQ2">Equations 2</xref>&#x2013;<xref ref-type="disp-formula" rid="EQ4">4</xref> as stated by <xref ref-type="bibr" rid="ref16">Congreves et al. (2021)</xref> and <xref ref-type="bibr" rid="ref62">Sarkar et al. (2021)</xref>.</p>
<disp-formula id="EQ2"><label>(2)</label><mml:math id="M2"><mml:mtable columnalign="left" displaystyle="true"><mml:mtr><mml:mtd><mml:mtext>Agronomic efficiency</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mfrac><mml:mtext>kg</mml:mtext><mml:mtext>ha</mml:mtext></mml:mfrac><mml:mo stretchy="true">)</mml:mo></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Y</mml:mi><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi mathvariant="normal">Y</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:mtext>Quantity of nutrient applied</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mfrac><mml:mtext>kg</mml:mtext><mml:mtext>ha</mml:mtext></mml:mfrac><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:mfrac><mml:mo>&#x00D7;</mml:mo><mml:mn>100</mml:mn></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<disp-formula id="EQ3"><label>(3)</label><mml:math id="M3"><mml:mtext>Physiological efficiency</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mfrac><mml:mtext>kg</mml:mtext><mml:mtext>kg</mml:mtext></mml:mfrac><mml:mo stretchy="true">)</mml:mo><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Y</mml:mi><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi mathvariant="normal">Y</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:mi mathvariant="normal">U</mml:mi><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi mathvariant="normal">U</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow></mml:mfrac><mml:mspace width="0.25em"/></mml:math></disp-formula>
<disp-formula id="EQ4"><label>(4)</label><mml:math id="M4"><mml:mtable columnalign="left" displaystyle="true"><mml:mtr><mml:mtd><mml:mtext>Apparent recovery efficiency</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mo>%</mml:mo><mml:mo stretchy="true">)</mml:mo></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">U</mml:mi><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi mathvariant="normal">U</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:mtext>Quantity of nutrient applied</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:mfrac><mml:mo>&#x00D7;</mml:mo><mml:mn>100</mml:mn></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where, <inline-formula><mml:math id="M5"><mml:mi mathvariant="normal">Y</mml:mi></mml:math></inline-formula>&#x202F;=&#x202F;Grain yield (kg/ha) with applied nutrient; <inline-formula><mml:math id="M6"><mml:msub><mml:mi>Y</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:math></inline-formula>&#x202F;=&#x202F;Grain yield (kg/ha) with no applied nutrient, <inline-formula><mml:math id="M7"><mml:mi mathvariant="normal">U</mml:mi></mml:math></inline-formula>&#x202F;=&#x202F;Total nutrient uptake (kg/ha) with applied nutrient; <inline-formula><mml:math id="M8"><mml:msub><mml:mi>U</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:math></inline-formula>&#x202F;=&#x202F;total nutrient uptake (kg/ha) with no applied nutrient.</p>
<p>On the other hand, the Partial factor productivity, nutrient efficiency ratio, and nutrient addition through straw, were calculated according to <xref ref-type="disp-formula" rid="EQ5">Equations 5</xref>&#x2013;<xref ref-type="disp-formula" rid="EQ7">7</xref>.</p>
<disp-formula id="EQ5"><label>(5)</label><mml:math id="M9"><mml:mtable columnalign="left" displaystyle="true"><mml:mtr><mml:mtd><mml:mtext>Partial factor productivity</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>kg</mml:mtext><mml:mo stretchy="true">)</mml:mo><mml:mo>=</mml:mo></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mspace width="0.25em"/><mml:mfrac><mml:mrow><mml:mtext>Grain yield</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mrow><mml:mrow><mml:mtext>Quantity of nutrient applied</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<disp-formula id="EQ6"><label>(6)</label><mml:math id="M10"><mml:mtext>Nutrient efficiency ratio</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>kg</mml:mtext><mml:mo stretchy="true">)</mml:mo><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mtext>Biological yield</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mrow><mml:mrow><mml:mtext>Nutrient uptake</mml:mtext><mml:mspace width="0.25em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:mfrac></mml:math></disp-formula>
<disp-formula id="EQ7"><label>(7)</label><mml:math id="M11"><mml:mtable columnalign="left" displaystyle="true"><mml:mtr><mml:mtd><mml:mtext>Nutrient addition through straw</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mtext>Nutrient content in straw</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mo>%</mml:mo><mml:mo stretchy="true">)</mml:mo><mml:mo>&#x00D7;</mml:mo><mml:mtext>straw yield</mml:mtext><mml:mspace width="0.33em"/><mml:mo stretchy="true">(</mml:mo><mml:mtext>kg</mml:mtext><mml:mo>/</mml:mo><mml:mtext>ha</mml:mtext><mml:mo stretchy="true">)</mml:mo></mml:mrow><mml:mn>100</mml:mn></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Residual effect of summer legumes</title>
<p>The residual effect of summer legumes was approximately calculated based on yield and total uptake data obtained in the field experiments. Apparent recovery ratio was used as a tool to calculate nitrogen and phosphorus accumulation (residual effect). The proportion of nitrogen/phosphorus absorbed and derived from the applied nitrogen/phosphorus cannot be verified; thus, it is referred to as &#x201C;apparent&#x201D; nutrient recovery. The residual effect and absolute residual effect were calculated using <xref ref-type="disp-formula" rid="EQ8">Equations 8</xref>, <xref ref-type="disp-formula" rid="EQ9">9</xref>.</p>
<disp-formula id="EQ8"><label>(8)</label><mml:math id="M12"><mml:mtext>Residual effect</mml:mtext><mml:mo>,</mml:mo><mml:mi mathvariant="normal">R</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">A</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi mathvariant="normal">B</mml:mi></mml:math></disp-formula>
<disp-formula id="EQ9"><label>(9)</label><mml:math id="M13"><mml:mtext>Absolute residual effect</mml:mtext><mml:mo>,</mml:mo><mml:mtext>Ra</mml:mtext><mml:mo>=</mml:mo><mml:mi mathvariant="normal">A</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi mathvariant="normal">C</mml:mi></mml:math></disp-formula>
<p>where, A&#x202F;=&#x202F;Yield from residue incorporated plot with fertilizer, B&#x202F;=&#x202F;Yield from residue free plot with fertilizer, and C&#x202F;=&#x202F;Yield in residue free plot without fertilizer.</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Statistical analysis and interpretation of data</title>
<p>The statistical procedures outlined by <xref ref-type="bibr" rid="ref51">Panse and Sukhatme (1967)</xref> were employed to analyze the data on a variety of variables. The &#x2018;F&#x2019; test was implemented to compare the treatment effects on all the characters under investigation. The mean values of the summer legumes were presented, and the subsequent <italic>kharif</italic> rice was analyzed using a Split Plot Design. In the event that the &#x2018;F&#x2019; test revealed significant differences among the interventions, the Critical Difference (CD) at 5% was calculated. Otherwise, the standard error of the mean was computed. Pooled analysis of the summer legumes and succeeding kharif rice analysed for two years was worked out as per the method described by <xref ref-type="bibr" rid="ref15">Cochran and Cox (1957)</xref>. Bertlett&#x2019;s test was applied to examine the homogeneity of variance due to error.</p>
</sec>
<sec id="sec10">
<label>2.8</label>
<title>Pooled analysis</title>
<p>The fundamental method of variance analysis may not be suitable for two distinct seasonal conditions, as the error variances between seasons and the treatment&#x202F;&#x00D7;&#x202F;season interaction could be substantial. Consequently, the method outlined by <xref ref-type="bibr" rid="ref15">Cochran and Cox (1957)</xref> was employed to conduct an aggregated analysis of the summer legumes and subsequent <italic>kharif</italic> rice over a two-year period. The homogeneity of variance attributable to error was evaluated using Bartlett&#x2019;s test. The presence or absence of a season&#x202F;&#x00D7;&#x202F;treatment interaction was determined by comparing the variance resulting from the season&#x202F;&#x00D7;&#x202F;treatment components to the pooled estimate of error variance.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<label>3</label>
<title>Results</title>
<sec id="sec12">
<label>3.1</label>
<title>Available soil nutrient status</title>
<sec id="sec13">
<label>3.1.1</label>
<title>Organic carbon</title>
<p>Organic carbon status (<xref ref-type="table" rid="tab6">Table 6</xref>) was found highly significant in dhaincha incorporated plots (0.76%), showing a 5.56% increase compared to the fallow treatment (T4, 0.72%). Whereas, cowpea incorporated plots (T2, 0.75%) exhibited a 4.17% increase over fallow, and were statistically at par with green gram incorporated plots (T3, 0.74%), which showed a 2.78% increase compared to fallow plots. The highest organic carbon content (0.77%) was recorded with application of 50% RDF&#x202F;+&#x202F;50% N through FYM and 75% RDF&#x202F;+&#x202F;25% N from FYM, both of which were at par with each other and showed an increase of 10% over unfertilized plots (0.70%). However, the response remained consistent across interactions and years, indicating that the organic carbon status has remained stable.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption><p>Nutrient status of the soil after harvest of <italic>kharif</italic> rice as influenced by different treatments.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Treatments</th>
<th align="char" valign="top" char="&#x00D7;" colspan="4">Nutrient status (kg/ha) (pooled)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;">OC (%)</th>
<th align="char" valign="top" char="&#x00D7;">Nitrogen</th>
<th align="char" valign="top" char="&#x00D7;">Phosphorus (P<sub>2</sub>O<sub>5</sub>)</th>
<th align="char" valign="top" char="&#x00D7;">Potassium (K<sub>2</sub>O)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5">Main plots (summer legumes)</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>1</sub>: Green gram</td>
<td align="center" valign="middle">0.74</td>
<td align="center" valign="bottom">265</td>
<td align="center" valign="bottom">52.36</td>
<td align="center" valign="bottom">353</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>2</sub>: Cowpea</td>
<td align="center" valign="middle">0.75</td>
<td align="center" valign="bottom">268</td>
<td align="center" valign="bottom">53.41</td>
<td align="center" valign="bottom">363</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>3</sub>: Dhaincha (GM)</td>
<td align="center" valign="middle">0.76</td>
<td align="center" valign="bottom">292</td>
<td align="center" valign="bottom">58.07</td>
<td align="center" valign="bottom">391</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>4</sub>: Fallow</td>
<td align="center" valign="middle">0.72</td>
<td align="center" valign="bottom">242</td>
<td align="center" valign="bottom">45.04</td>
<td align="center" valign="bottom">326</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="bottom">4.58</td>
<td align="center" valign="bottom">1.14</td>
<td align="center" valign="bottom">5.74</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="middle">0.02</td>
<td align="center" valign="bottom">14</td>
<td align="center" valign="bottom">3.46</td>
<td align="center" valign="bottom">18</td>
</tr>
<tr>
<td align="left" valign="middle">CV (%)</td>
<td align="center" valign="middle">5.70</td>
<td align="center" valign="middle">10.07</td>
<td align="center" valign="middle">12.89</td>
<td align="center" valign="top">9.60</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Sub plots (<italic>kharif</italic> rice)</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>1</sub>: 100% RDF</td>
<td align="center" valign="middle">0.76</td>
<td align="center" valign="bottom">276</td>
<td align="center" valign="bottom">52.94</td>
<td align="center" valign="bottom">361</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>2</sub>: 75% RDF</td>
<td align="center" valign="middle">0.73</td>
<td align="center" valign="bottom">270</td>
<td align="center" valign="bottom">52.67</td>
<td align="center" valign="bottom">352</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>3</sub>: 50% RDF</td>
<td align="center" valign="middle">0.72</td>
<td align="center" valign="bottom">262</td>
<td align="center" valign="bottom">51.02</td>
<td align="center" valign="bottom">347</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>4</sub>: 75% RDF&#x202F;+&#x202F;25% N from FYM</td>
<td align="center" valign="middle">0.77</td>
<td align="center" valign="bottom">283</td>
<td align="center" valign="bottom">53.37</td>
<td align="center" valign="bottom">371</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>5</sub>: 50% RDF&#x202F;+&#x202F;50% N from FYM</td>
<td align="center" valign="middle">0.77</td>
<td align="center" valign="bottom">297</td>
<td align="center" valign="bottom">55.36</td>
<td align="center" valign="bottom">396</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>6</sub>: No fertilizer application</td>
<td align="center" valign="middle">0.70</td>
<td align="center" valign="bottom">213</td>
<td align="center" valign="bottom">47.82</td>
<td align="center" valign="bottom">324</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="bottom">4.43</td>
<td align="center" valign="bottom">1.01</td>
<td align="center" valign="bottom">5.73</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="middle">0.02</td>
<td align="center" valign="bottom">13</td>
<td align="center" valign="bottom">2.84</td>
<td align="center" valign="bottom">16</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Interaction (T&#x202F;&#x00D7;&#x202F;W)</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="middle">0.02</td>
<td align="center" valign="bottom">12.52</td>
<td align="center" valign="bottom">2.85</td>
<td align="center" valign="bottom">18.04</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="bottom">NS</td>
<td align="center" valign="bottom">NS</td>
<td align="center" valign="bottom">NS</td>
</tr>
<tr>
<td align="left" valign="middle"><bold>Significant interactions with Y</bold></td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="middle">NS</td>
<td align="center" valign="top">NS</td>
</tr>
<tr>
<td align="left" valign="middle">CV (%)</td>
<td align="center" valign="middle">3.90</td>
<td align="center" valign="middle">8.12</td>
<td align="center" valign="middle">9.46</td>
<td align="center" valign="top">7.83</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>RDF: 100&#x2013;30-00 NPK kg/ha; GM: Green manure.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.1.2</label>
<title>Available nitrogen</title>
<p>Dhaincha incorporated plots have significantly higher available nitrogen status with 8.96% increase over cowpea incorporated plots and 20.66% increase over fallow, whereas significantly higher available nitrogen was recorded with application of 50% RDF&#x202F;+&#x202F;50% N through FYM, with 4.95% increase over W4 and 39.44% increase over W6. A two-year study (<xref ref-type="table" rid="tab6">Table 6</xref>) revealed that significantly higher available nitrogen was noted with incorporation of dhaincha (292&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>). Whereas significantly highest available nitrogen (297&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) with application of 50%RDF&#x202F;+&#x202F;50% N through FYM. The year x treatment interactions was non-significant, indicating summer legume incorporation and nutrient management practices were consistent across years.</p>
</sec>
<sec id="sec15">
<label>3.1.3</label>
<title>Available phosphorus</title>
<p>A pooled study (<xref ref-type="table" rid="tab6">Table 6</xref>) for 2&#x202F;years revealed that, highest soil available phosphorus was recorded in dhaincha incorporated plots (58.07&#x202F;kg/ha) with 28.96 percent increase over fallow. Application of 50% RDF&#x202F;+&#x202F;50% N through FYM (55.36&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) has showed significantly higher soil available phosphorus with 3.73 percent increase over W4 and 15.77% increase over W6. The non-significant interaction between summer legume incorporation and nutrient management practices along with year, suggested a stable phosphorus.</p>
</sec>
<sec id="sec16">
<label>3.1.4</label>
<title>Available potassium</title>
<p>Significantly highly available potassium (<xref ref-type="table" rid="tab6">Table 6</xref>) was noted with incorporation of dhaincha (391&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) with 7.71% over T2 and 19.94% over fallow. Whereas significantly highest available potassium (396&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) was recorded with application of 50% RDF&#x202F;+&#x202F;50% N through FYM with 6.74% over W4 and 22.22% over W6. The preceding incorporation of dhaincha has a significant effect on available K<sub>2</sub>O content of soil (kg/ha) after the harvest of rice with maximum available K<sub>2</sub>O content of soil as 391&#x202F;kg/ha. Application of 50% RDF&#x202F;+&#x202F;50% N through FYM has shown significantly higher potassium. Non-significant with year, suggested a stable potassium.</p>
</sec>
</sec>
<sec id="sec17">
<label>3.2</label>
<title>Total uptake of nutrients</title>
<p>From the pooled analysis, significantly higher total nitrogen uptake was noticed in rice grown in dhaincha incorporated plots (T<sub>3</sub>, 80.88&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) with 37.43% increase over fallow. Whereas, the application of 100% RDF (W<sub>1</sub>) exhibited significantly higher nitrogen uptake (97.09&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) with 121.73 percent increase over W6. The interaction effect was found to be significantly with highest total nitrogen uptake recorded in dhaincha incorporated plots along with application (109.29&#x202F;kg/ha) with over a 113.39 percent increase over absolute control, which it remained consistent for 2&#x202F;years (<xref ref-type="table" rid="tab7">Table 7</xref>).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption><p>Total uptake of nitrogen in <italic>kharif</italic> rice influenced by treatments during pooled study.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Treatments</th>
<th align="char" valign="top" char="&#x00D7;" colspan="7">Total uptake of nitrogen (kg/ha)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;">W<sub>1</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>2</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>3</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>4</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>5</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>6</sub></th>
<th align="char" valign="top" char="&#x00D7;">Mean</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">T<sub>1</sub></td>
<td align="center" valign="top">100.43</td>
<td align="center" valign="top">68.44</td>
<td align="center" valign="top">53.98</td>
<td align="center" valign="top">91.19</td>
<td align="center" valign="top">74.22</td>
<td align="center" valign="top">44.08</td>
<td align="center" valign="top">72.06</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>2</sub></td>
<td align="center" valign="top">96.43</td>
<td align="center" valign="top">64.26</td>
<td align="center" valign="top">52.77</td>
<td align="center" valign="top">88.36</td>
<td align="center" valign="top">73.76</td>
<td align="center" valign="top">43.34</td>
<td align="center" valign="top">69.82</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>3</sub></td>
<td align="center" valign="top">109.29</td>
<td align="center" valign="top">77.29</td>
<td align="center" valign="top">61.74</td>
<td align="center" valign="top">99.33</td>
<td align="center" valign="top">86.43</td>
<td align="center" valign="top">51.22</td>
<td align="center" valign="top">80.88</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>4</sub></td>
<td align="center" valign="top">82.20</td>
<td align="center" valign="top">51.69</td>
<td align="center" valign="top">45.87</td>
<td align="center" valign="top">72.53</td>
<td align="center" valign="top">64.22</td>
<td align="center" valign="top">36.55</td>
<td align="center" valign="top">58.84</td>
</tr>
<tr>
<td align="left" valign="middle">Mean</td>
<td align="center" valign="top">97.09</td>
<td align="center" valign="top">65.42</td>
<td align="center" valign="top">53.59</td>
<td align="center" valign="top">87.85</td>
<td align="center" valign="top">74.66</td>
<td align="center" valign="top">43.80</td>
<td align="center" valign="top">70.40</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="middle" colspan="7">1.346</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="middle" colspan="7">3.787</td>
</tr>
<tr>
<td align="left" valign="middle">CV</td>
<td align="center" valign="middle" colspan="7">4.68</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Rice sown after incorporation of dhaincha recorded significantly higher total phosphorus uptake (16.01&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) with 44.08 increases over fallow treatment. Application of 100% RDF has shown significantly higher total phosphorus uptake (21.12&#x202F;kg/ha) with 233.65 percent over W6. Interaction effect i.e., dhaincha incorporation along with 100%RDF as 24.03&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>, and the interaction effect with year was found to be non-significant (<xref ref-type="table" rid="tab8">Table 8</xref>).</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption><p>Total uptake of phosphorous in <italic>kharif</italic> rice influenced by treatments during pooled study.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Treatments</th>
<th align="char" valign="top" char="&#x00D7;" colspan="7">Total uptake of phosphorous (kg/ha)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;">W<sub>1</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>2</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>3</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>4</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>5</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>6</sub></th>
<th align="char" valign="top" char="&#x00D7;">Mean</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">T<sub>1</sub></td>
<td align="center" valign="middle">21.99</td>
<td align="center" valign="middle">12.94</td>
<td align="center" valign="middle">8.21</td>
<td align="center" valign="middle">19.12</td>
<td align="center" valign="middle">15.32</td>
<td align="center" valign="middle">6.27</td>
<td align="center" valign="middle">13.98</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>2</sub></td>
<td align="center" valign="middle">20.86</td>
<td align="center" valign="middle">11.62</td>
<td align="center" valign="middle">7.93</td>
<td align="center" valign="middle">18.34</td>
<td align="center" valign="middle">14.83</td>
<td align="center" valign="middle">6.05</td>
<td align="center" valign="middle">13.27</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>3</sub></td>
<td align="center" valign="middle">24.03</td>
<td align="center" valign="middle">15.15</td>
<td align="center" valign="middle">10.00</td>
<td align="center" valign="middle">21.24</td>
<td align="center" valign="middle">17.84</td>
<td align="center" valign="middle">7.81</td>
<td align="center" valign="middle">16.01</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>4</sub></td>
<td align="center" valign="middle">17.58</td>
<td align="center" valign="middle">9.49</td>
<td align="center" valign="middle">6.19</td>
<td align="center" valign="middle">15.81</td>
<td align="center" valign="middle">12.39</td>
<td align="center" valign="middle">5.18</td>
<td align="center" valign="middle">11.11</td>
</tr>
<tr>
<td align="left" valign="middle">Mean</td>
<td align="center" valign="middle">21.12</td>
<td align="center" valign="middle">12.30</td>
<td align="center" valign="middle">8.08</td>
<td align="center" valign="middle">18.63</td>
<td align="center" valign="middle">15.10</td>
<td align="center" valign="middle">6.33</td>
<td align="center" valign="middle">13.59</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="middle" colspan="7">0.232</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="middle" colspan="7">0.654</td>
</tr>
<tr>
<td align="left" valign="middle">CV</td>
<td align="center" valign="middle" colspan="7">4.19</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Pooled analysis results revealed that incorporation of dhaincha recorded significantly higher potassium uptake (100.04&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) with 39.06 percent increase over fallow. Among the nutrient levels applied to rice crops, significantly the highest total potassium uptake by rice (111.61&#x202F;kg/ha) was found with 100% RDF with 95.72 percent increase over control. Interaction effect of dhaincha incorporation along with 100%RDF was found significant (129.38&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>) with 166.01 percent increase over absolute control, but interaction with year was consistent over 2&#x202F;years (<xref ref-type="table" rid="tab9">Table 9</xref>).</p>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption><p>Total uptake of potassium in <italic>kharif</italic> rice influenced by treatments during pooled study.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Treatments</th>
<th align="char" valign="top" char="&#x00D7;" colspan="7">Total uptake of potassium (kg/ha)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;">W<sub>1</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>2</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>3</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>4</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>5</sub></th>
<th align="char" valign="top" char="&#x00D7;">W<sub>6</sub></th>
<th align="char" valign="top" char="&#x00D7;">Mean</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">T<sub>1</sub></td>
<td align="center" valign="bottom">116.94</td>
<td align="center" valign="bottom">84.04</td>
<td align="center" valign="bottom">70.78</td>
<td align="center" valign="bottom">105.68</td>
<td align="center" valign="bottom">90.90</td>
<td align="center" valign="bottom">57.01</td>
<td align="center" valign="bottom">87.56</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>2</sub></td>
<td align="center" valign="bottom">105.66</td>
<td align="center" valign="bottom">78.12</td>
<td align="center" valign="bottom">68.27</td>
<td align="center" valign="bottom">100.47</td>
<td align="center" valign="bottom">88.75</td>
<td align="center" valign="bottom">54.97</td>
<td align="center" valign="bottom">82.71</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>3</sub></td>
<td align="center" valign="bottom">129.38</td>
<td align="center" valign="bottom">99.28</td>
<td align="center" valign="bottom">81.48</td>
<td align="center" valign="bottom">116.38</td>
<td align="center" valign="bottom">106.28</td>
<td align="center" valign="bottom">67.47</td>
<td align="center" valign="bottom">100.04</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>4</sub></td>
<td align="center" valign="bottom">94.44</td>
<td align="center" valign="bottom">65.71</td>
<td align="center" valign="bottom">59.90</td>
<td align="center" valign="bottom">85.94</td>
<td align="center" valign="bottom">76.99</td>
<td align="center" valign="bottom">48.66</td>
<td align="center" valign="bottom">71.94</td>
</tr>
<tr>
<td align="left" valign="middle">Mean</td>
<td align="center" valign="bottom">111.61</td>
<td align="center" valign="bottom">81.79</td>
<td align="center" valign="bottom">70.11</td>
<td align="center" valign="bottom">102.12</td>
<td align="center" valign="bottom">90.73</td>
<td align="center" valign="bottom">57.03</td>
<td align="center" valign="bottom">85.56</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="middle" colspan="7">2.12</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="middle" colspan="7">5.94</td>
</tr>
<tr>
<td align="left" valign="middle">CV</td>
<td align="center" valign="middle" colspan="7">6.74</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec18">
<label>3.3</label>
<title>Agronomic use efficiency</title>
<p>Pooled analysis revealed that significantly highest agronomic use efficiency (kg grain/kg&#x202F;N applied through fertilizer&#x202F;+&#x202F;FYM) of rice crop was noted with dhaincha incorporation. In sub plots, the agronomic use efficiency of rice crops was significantly highest in 100%RDF. The interaction effect was found to be non-significant with highest obtained in treatment dhaincha&#x202F;+&#x202F;100% RDF, which was found to be efficient in using nitrogen with agronomic use efficiency of 25.20&#x202F;kg grain/kg&#x202F;N applied as depicted in <xref ref-type="fig" rid="fig4">Figure 4</xref> and it remained consistent throughout 2&#x202F;years. Nutrient applied through fertilizer and FYM was mentioned in <xref ref-type="table" rid="tab10">Table 10</xref>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Agronomic use efficiency of <italic>kharif</italic> rice as influenced by treatments (pooled study).</p></caption>
<graphic xlink:href="fsufs-09-1535162-g004.tif"/>
</fig>
<table-wrap position="float" id="tab10">
<label>Table 10</label>
<caption><p>Nitrogen and phosphorus contribute through different sources.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;">Treatments</th>
<th align="char" valign="top" char="&#x00D7;" colspan="4">From crop residue (kg/ha)</th>
<th align="char" valign="top" char="&#x00D7;" colspan="4">Mineral fertilization (kg/ha)</th>
</tr>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Main plots</th>
<th align="char" valign="middle" char="&#x00D7;">N</th>
<th align="char" valign="middle" char="&#x00D7;">N</th>
<th align="char" valign="middle" char="&#x00D7;">P</th>
<th align="char" valign="middle" char="&#x00D7;">P</th>
<th align="char" valign="middle" char="&#x00D7;" colspan="4">Fertilizer + FYM</th>
</tr>
<tr>
<th align="char" valign="middle" char="&#x00D7;">2021</th>
<th align="char" valign="middle" char="&#x00D7;">2022</th>
<th align="char" valign="middle" char="&#x00D7;">2021</th>
<th align="char" valign="middle" char="&#x00D7;">2022</th>
<th align="char" valign="middle" char="&#x00D7;">Sub plots</th>
<th align="char" valign="middle" char="&#x00D7;">N</th>
<th align="char" valign="middle" char="&#x00D7;">P 2021</th>
<th align="char" valign="middle" char="&#x00D7;">P 2022</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Green gram</td>
<td align="center" valign="middle">23.11</td>
<td align="center" valign="middle">29.01</td>
<td align="center" valign="middle">4.56</td>
<td align="center" valign="middle">5.26</td>
<td align="left" valign="middle">W<sub>1</sub>: 100% RDF</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">30</td>
</tr>
<tr>
<td align="left" valign="top">Cowpea</td>
<td align="center" valign="middle">25.82</td>
<td align="center" valign="middle">30.03</td>
<td align="center" valign="middle">4.87</td>
<td align="center" valign="middle">8.15</td>
<td align="left" valign="middle">W<sub>2</sub>: 75% RDF</td>
<td align="center" valign="middle">75</td>
<td align="center" valign="middle">22.5</td>
<td align="center" valign="middle">22.5</td>
</tr>
<tr>
<td align="left" valign="top">Dhaincha</td>
<td align="center" valign="middle">78.55</td>
<td align="center" valign="middle">87.68</td>
<td align="center" valign="middle">18.51</td>
<td align="center" valign="middle">20.33</td>
<td align="left" valign="middle">W<sub>3</sub>: 50% RDF</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">15</td>
</tr>
<tr>
<td align="left" valign="top">Fallow</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="left" valign="middle">W<sub>4</sub>: 75% RDF&#x202F;+&#x202F;25% N from FYM</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">41.10</td>
<td align="center" valign="middle">41.98</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5" rowspan="2">Nutrient from residue is calculated by nutrient content in straw multiplied with straw yield and divided by 100.</td>
<td align="left" valign="middle">W<sub>5</sub>: 50% RDF&#x202F;+&#x202F;50% N from FYM</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">52.18</td>
<td align="center" valign="middle">54.10</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>6</sub>: No fertilizer application</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>FYM nutrient content (NPK) is presented in <xref ref-type="table" rid="tab4">Table 4</xref>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec19">
<label>3.4</label>
<title>Nitrogen use efficiency (fertilizer&#x202F;+&#x202F;FYM&#x202F;+&#x202F;residue)</title>
<p>The nitrogen use efficiency of rice in the study was expressed in terms of grain yield, i.e., (kg grain/kg&#x202F;N applied through fertilizer&#x202F;+&#x202F;FYM&#x202F;+&#x202F;residue) presented in <xref ref-type="table" rid="tab11">Table 11</xref>. Among the different summer legumes, the highest nitrogen use efficiency (11.68&#x202F;kg grain<sup>&#x2212;1</sup> kg<sup>&#x2212;1</sup> N applied through fertilizer&#x202F;+&#x202F;FYM&#x202F;+&#x202F;residue) of rice crop was registered with green gram incorporation and it is statistically at par with cowpea, dhaincha and summer fallow.</p>
<table-wrap position="float" id="tab11">
<label>Table 11</label>
<caption><p>Nitrogen uses efficiency of <italic>kharif</italic> rice.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" char="&#x00D7;" rowspan="2">Treatments</th>
<th align="char" valign="top" char="&#x00D7;">Nitrogen use efficiency (kg grain/kg&#x202F;N applied)</th>
</tr>
<tr>
<th align="char" valign="top" char="&#x00D7;">Pooled</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="2">Main plots (summer legumes)</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>1</sub>: Green gram</td>
<td align="center" valign="bottom">11.68</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>2</sub>: Cowpea</td>
<td align="center" valign="bottom">10.89</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>3</sub>: Dhaincha (GM)</td>
<td align="center" valign="bottom">9.59</td>
</tr>
<tr>
<td align="left" valign="middle">T<sub>4</sub>: Fallow</td>
<td align="center" valign="bottom">9.69</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="bottom">0.55</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="bottom">NS</td>
</tr>
<tr>
<td align="left" valign="middle">CV (%)</td>
<td align="center" valign="middle">16.3</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Sub plots (<italic>kharif</italic> rice)</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>1</sub>: 100% RDF</td>
<td align="center" valign="bottom">16.41</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>2</sub>: 75% RDF</td>
<td align="center" valign="bottom">9.71</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>3</sub>: 50% RDF</td>
<td align="center" valign="bottom">7.74</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>4</sub>: 75% RDF&#x202F;+&#x202F;25% N from FYM</td>
<td align="center" valign="bottom">13.95</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>5</sub>: 50% RDF&#x202F;+&#x202F;50% N from FYM</td>
<td align="center" valign="bottom">10.51</td>
</tr>
<tr>
<td align="left" valign="middle">W<sub>6</sub>: No fertilizer application (control)</td>
<td align="center" valign="bottom">4.44</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="bottom">0.51</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="bottom">1.43</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Interaction (T&#x202F;&#x00D7;&#x202F;W)</td>
</tr>
<tr>
<td align="left" valign="middle">SEm&#x00B1;</td>
<td align="center" valign="middle">1.46</td>
</tr>
<tr>
<td align="left" valign="middle">CD (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.05)</td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle"><bold>Significant interactions with Y</bold></td>
<td align="center" valign="middle">NS</td>
</tr>
<tr>
<td align="left" valign="middle">CV (%)</td>
<td align="center" valign="top">14.5</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">T<sub>4</sub> =&#x202F;Control, W<sub>6</sub> =&#x202F;Control; T<sub>4</sub>W<sub>6</sub> &#x2013; Absolute Control</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>RDF: 100&#x2013;30-00 NPK kg/ha; GM: Green manure.</p>
</table-wrap-foot>
</table-wrap>
<p>Nitrogen use efficiency of rice crops was significantly highest (16.41&#x202F;kg grain/kg&#x202F;N applied through fertilizer&#x202F;+&#x202F;FYM&#x202F;+&#x202F;residue) in the treatment that received 100% RDF (W1) and percent increase over W6 was 269.59 percent. However, during the experimentation, the treatment of 75% RDF&#x202F;+&#x202F;25% N from FYM (W<sub>4</sub>) was at par with 50% RDF&#x202F;+&#x202F;50% N from FYM (W<sub>5</sub>) in the pooled study.</p>
</sec>
<sec id="sec20">
<label>3.5</label>
<title>Nitrogen and phosphorus apparent recovery ratio (ARR)</title>
<p>Rice grown in green gram-incorporated plots recorded significantly higher ARR-N (<xref ref-type="fig" rid="fig5">Figure 5</xref>) as depicted in 4,688&#x202F;kg/ha 34.60%, Whereas ARR-P was not significant, but higher ARR-P was found with incorporation of green gram Significantly higher ARR-N (%) in rice was noticed in 100% RDF (45.72%, pooled basis) as denoted in <xref ref-type="fig" rid="fig5">Figure 5</xref>. The treatment 100% RDF (W<sub>1</sub>) recorded a 42.67% apparent recovery ratio of phosphorus during pooled studies (<xref ref-type="fig" rid="fig6">Figure 6</xref>). From the pooled analysis, it can be revealed that the interaction effect of summer legume incorporation along with nutrient application was found to be non-significant for ARR-N and noted as significant for ARR-P, respectively.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Apparent recovery ratio of nitrogen in <italic>kharif</italic> rice as influenced by treatments (pooled study).</p></caption>
<graphic xlink:href="fsufs-09-1535162-g005.tif"/>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption><p>Apparent recovery ratio of phosphorous in <italic>kharif</italic> rice as influenced by treatments (pooled study).</p></caption>
<graphic xlink:href="fsufs-09-1535162-g006.tif"/>
</fig>
</sec>
<sec id="sec21">
<label>3.6</label>
<title>Physiological efficiency</title>
<p>Summer legume-incorporated plots have no significant influence on physiological efficiency of rice (<xref ref-type="fig" rid="fig7">Figure 7</xref>). However, higher physiological efficiency was found in rice grown in dhaincha plots (34.83&#x202F;kg&#x202F;kg<sup>&#x2212;1</sup>). Higher physiological efficiency was found with the application of 50% RDF (W<sub>3</sub>, 38.24&#x202F;kg&#x202F;kg<sup>&#x2212;1</sup>), but it was statistically at par with W<sub>2</sub>, W<sub>5</sub>, W4, and W, which remained consistent for 2&#x202F;years.</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption><p>Physiological efficiency of <italic>kharif</italic> rice as influenced by treatments in <italic>kharif</italic> rice (pooled study).</p></caption>
<graphic xlink:href="fsufs-09-1535162-g007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec22">
<label>4</label>
<title>Discussion</title>
<sec id="sec23">
<label>4.1</label>
<title>Soil available nutrient status</title>
<p>Significant variations in post-harvest soil N, P&#x2082;O&#x2085;, and K&#x2082;O levels were observed following summer legume incorporation and nutrient applications in <italic>kharif</italic> rice. Dhaincha, with its high nutrient content and rapid growth, outperformed other legumes, contributing significantly where N, P&#x2082;O&#x2085;, and K&#x2082;O become more available, underlining the critical role of legume incorporation in enhancing soil health, fertility, and overall ecosystem sustainability (<xref ref-type="bibr" rid="ref84">Zhao N. et al., 2024</xref>). The plots that received 50% RDF&#x202F;+&#x202F;50% N from FYM or 75% RDF&#x202F;+&#x202F;25% N from FYM maintained soil fertility as effectively as 100% NPK treatments over 2&#x202F;years and pooled data. The increase in soil nitrogen was linked to legume nitrogen fixation, residue incorporation, and fertilizer use. Phosphorus and potassium levels improved due to the breakdown of crop residues and organic matter, aided by inorganic fertilizers. The integration of FYM and inorganic fertilizers and green manure likely created favorable conditions for nutrient mineralization for increased accessible nitrogen and organic carbon enhancement (<xref ref-type="bibr" rid="ref63">Sharma and Ghosh, 2000</xref>). Applying NPK along with organic manures (vermicompost, FYM, or green manure) significantly raised available phosphorus compared to NPK fertilizers alone, potentially due to the ability of organic inputs to complex cations that contribute to phosphorus fixation (<xref ref-type="bibr" rid="ref29">Kamla et al., 2005</xref>; <xref ref-type="bibr" rid="ref5">Bajpai et al., 2006</xref>). Organic acids released during green manure decomposition may have further boosted phosphorus availability (<xref ref-type="bibr" rid="ref2">Alagappan and Venkitaswamy, 2016</xref>). Additionally, green manuring improved potassium availability through the release of exchangeable K during residue decomposition (<xref ref-type="bibr" rid="ref39">Maiti et al., 2006</xref>; <xref ref-type="bibr" rid="ref76">Upadhyay et al., 2011</xref>).</p>
</sec>
<sec id="sec24">
<label>4.2</label>
<title>Plant nutrient uptake</title>
<p>Incorporating summer legumes significantly increased N, P, and K uptake in rice, with dhaincha showing the highest uptake due to its incorporation at 50% flowering, unlike green gram and cowpea, which were incorporated post-harvest. The decomposition of green manures improved soil conditions, enhancing root growth and nutrient absorption (<xref ref-type="bibr" rid="ref73">Talathi et al., 2009</xref>; <xref ref-type="bibr" rid="ref61">Saraswat et al., 2010</xref>; <xref ref-type="bibr" rid="ref25">Islam et al., 2014</xref>, <xref ref-type="bibr" rid="ref27">2019</xref>). Rice uptake of N, P, and K was significantly higher when inorganic fertilizers were combined with organic manures compared to when no fertilizer was used (W6). The highest N uptake was observed with 100% RDF, followed by 75% RDF&#x202F;+&#x202F;25% N from FYM and 50% RDF&#x202F;+&#x202F;50% N from FYM, may be due to optimal nutrient balance and immediate nutrient availability and similar trend observed for P and K uptake across both years and in pooled analysis. This correlation aligns with dry matter accumulation and yield per hectare across treatments and improved nutrient availability (<xref ref-type="bibr" rid="ref72">Sunitha et al., 2010</xref>; <xref ref-type="bibr" rid="ref34">Kumar et al., 2012</xref>, and <xref ref-type="bibr" rid="ref35">Kumari et al., 2013</xref>).</p>
<p>Fertilizer contribution (<xref ref-type="fig" rid="fig8">Figure 8</xref>) was more in total uptake of NP, followed by others. It is because of the readily available nature of fertilizers. But in the long run, due to the decomposition of crop residues, the nutrient availability may increase after complete decomposition. <xref ref-type="bibr" rid="ref74">Tarafdhar et al. (2016)</xref> reported that FYM applied to the crop will be available by about 30% in the first year of application and the rest will be available in subsequent years. A considerable amount of N in FYM is lost during its preparation and storage, mainly as NH&#x2083; volatilization and leaching. Hence, in this study, the treatments with FYM were efficient only after 100% RDF chemical fertilizer application.</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption><p>Contribution of sub plot treatments and different summer legumes toward total uptake as influenced by different treatments in <italic>kharif</italic> rice.</p></caption>
<graphic xlink:href="fsufs-09-1535162-g008.tif"/>
</fig>
<sec id="sec25">
<label>4.2.1</label>
<title>Nitrogen use efficiency (fertilizer&#x202F;+&#x202F;FYM&#x202F;+&#x202F;residue)</title>
<p>Results stated that increased nutrients through crop residue are found to decrease the nutrient use efficiency as they are not readily available to the crop. Hence, there was non-significant behavior in summer legumes, though higher biomass was applied through dhaincha, but NUE was higher in green gram. But in fertilizer treatments, 100% RDF was found significant. Therefore, we can predict that fertilizer use efficiency is higher than residues and FYM, as it was readily available to crops. Because of this condition, more yields were found in 100% RDF (W1) when compared to other treatments. These results align with the findings of <xref ref-type="bibr" rid="ref33">Kouelo et al. (2013)</xref>. The elevated nitrogen usage efficiency in the green gram-incorporated plot may result from green manure sequestering nitrogen in the soil during the early decomposition phase, minimizing nitrogen losses, and guaranteeing sufficient nutrient availability in the subsequent reproductive phases (<xref ref-type="bibr" rid="ref87">Zhu et al., 2014</xref>). Furthermore, the low carbon-to-nitrogen ratio, which facilitates substantial atmospheric nitrogen fixation and enhances nitrogen availability, ultimately increases nitrogen use efficiency. As a leguminous green manure crop, it augments nitrogen supply through fixation, and the majority of green manure nitrogen residues in soils consist of organic nitrogen, which is not readily volatilized or leached (<xref ref-type="bibr" rid="ref42">Meng et al., 2019</xref>). Comparable results were also documented by <xref ref-type="bibr" rid="ref67">Song et al. (2022)</xref>, <xref ref-type="bibr" rid="ref40">Mangaraj et al. (2023)</xref>, and <xref ref-type="bibr" rid="ref66">Singh et al. (2024)</xref>.</p>
</sec>
</sec>
<sec id="sec26">
<label>4.3</label>
<title>Agronomic use efficiency</title>
<p>The dhaincha crop has a higher biomass nutrient concentration when compared to other legumes whose incorporation has shown better nutrient availability, which enhanced the growth and yield of rice in treatments involving dhaincha incorporation, ultimately improving the agronomic use efficiency (<xref ref-type="bibr" rid="ref24">Irin et al., 2019</xref>). Enhanced agronomic use efficiency due to dhaincha crop incorporation was also reported by <xref ref-type="bibr" rid="ref14">Chen et al. (2018)</xref>, <xref ref-type="bibr" rid="ref27">Islam et al. (2019)</xref>, <xref ref-type="bibr" rid="ref78">Walia et al. (2024)</xref>, and <xref ref-type="bibr" rid="ref75">Thulasi et al. (2024)</xref>.</p>
</sec>
<sec id="sec27">
<label>4.4</label>
<title>Nitrogen and phosphorus apparent recovery ratio (ARR)</title>
<p>The apparent recovery ratio (%) of nitrogen varied from 17.67 to 50.69% during the pooled study. Among the summer legumes tested for incorporation, significantly higher ARR of nitrogen (50.69%) was found in green gram&#x2014;100% RDF (T1W1) and it was followed by T2W1 (cowpea-100% RDF), and the lowest was found in T3W6 (17.67%) and T4W6 (0) in the pooled study (<xref ref-type="fig" rid="fig5">Figure 5</xref>). The data of ARR of phosphorus (<xref ref-type="fig" rid="fig6">Figure 6</xref>) showed that significantly higher ARR-P was found in the treatment when rice was grown in green gram incorporated plots with 100% application of fertilizer (T1W1) with ARRP of 48.17% during the pooled study. and the lowest was observed in T4W3 (Fallow-50% RDF, 6.77), besides absolute control (0%, T4W6). The apparent recovery ratio of phosphorus varied from 6.77 to 48.17% in pooled. The higher ARR-N was found in green gram-incorporated plots with 100% RDF when compared to dhaincha-incorporated plots with 100% RDF. Even though dhaincha supplied a larger amount of biomass, green gram biomass decomposed and released nutrients in such a way that it correlated with the uptake requirement of the <italic>kharif</italic> rice crop, which might be the cause for better apparent recovery efficiency of nitrogen and phosphorus, respectively (<xref ref-type="bibr" rid="ref53">Peoples et al., 2017</xref>). Similar findings were supported by <xref ref-type="bibr" rid="ref57">Rani et al. (2022)</xref>, <xref ref-type="bibr" rid="ref20">Govindasamy et al. (2023)</xref>, and <xref ref-type="bibr" rid="ref77">Vaziritabar et al. (2024)</xref>.</p>
</sec>
<sec id="sec28">
<label>4.5</label>
<title>Physiological efficiency</title>
<p>Physiological efficiency (PE) indicates the effectiveness of nutrient accumulation and conversion from source to sink. In a pooled study, rice grown in dhaincha-incorporated plots achieved the highest PE (34.83&#x202F;kg/kg), attributed to enhanced soil organic matter, nitrogen content, and microbial activity. Conversely, the lowest PE (33.08&#x202F;kg/kg) was recorded in fallow plots, highlighting the role of green manuring in improving soil fertility (<xref ref-type="fig" rid="fig7">Figure 7</xref>). Among fertilizer treatments, the highest PE (38.24&#x202F;kg/kg) was observed with 50% RDF (W3), although this was statistically comparable to other nutrient regimes (W2, W5, W4, W1). The absence of fertilizers (W6) resulted in the lowest PE (18.68&#x202F;kg/kg), underlining the necessity of nutrient supplementation for optimal rice performance. The interaction of summer legumes and nutrient doses revealed that fallow plots with fertilizers yielded higher PEN, whereas legume-incorporated plots without fertilizers showed reduced efficiency (22.25&#x2013;30.38&#x202F;kg/kg). This suggests that while legume incorporation enhances soil fertility through nitrogen fixation and organic matter addition, it cannot entirely replace inorganic fertilizers. Instead, integrating legumes with moderate fertilizer application is more effective for optimizing PE. Overall, treatments involving summer legumes significantly outperformed the control (W6), reinforcing the synergistic benefits of green manuring and nutrient management for improved physiological efficiency in rice.</p>
</sec>
</sec>
<sec id="sec29">
<label>5</label>
<title>Residual effect of summer legumes on <italic>kharif</italic> rice</title>
<p>Data presented in <xref ref-type="table" rid="tab13">Tables 13</xref>, <xref ref-type="table" rid="tab14">14</xref> and <xref ref-type="fig" rid="fig9">Figures 9</xref>, <xref ref-type="fig" rid="fig10">10</xref> reveal Rice crop grown in dhaincha-incorporated plots have a better yield (4,688&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>). The rice grown in fallow plots with 100% RDF has a yield of 3,873&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>. This reveals that the extra yield of 815&#x202F;kg/ha (4,688&#x2013;3,873&#x202F;=&#x202F;815&#x202F;kg/ha) recorded in rice grown in dhaincha-incorporated plots was due to the residual effect of residue incorporation of dhaincha before rice sowing as depicted in <xref ref-type="fig" rid="fig9">Figures 9</xref>, <xref ref-type="fig" rid="fig10">10</xref> and <xref ref-type="table" rid="tab12">Tables 12</xref>&#x2013;<xref ref-type="table" rid="tab14">14</xref>. Similarly, it was noticed in green gram (4,310&#x2013;3,873&#x202F;=&#x202F;571&#x202F;kg/ha) and cowpea (4,310&#x2013;3,873&#x202F;=&#x202F;437&#x202F;kg/ha) incorporated plots. Nearly dhaincha incorporation has provided 68&#x202F;kg/ha nitrogen and 16.8&#x202F;kg/ha phosphorus extra to the succeeding rice crop, whereas for green gram and cowpea it was 35.96 and 30.30&#x202F;kg/ha nitrogen and 12.39 and 9.15&#x202F;kg/ha phosphorus to the succeeding <italic>kharif</italic> rice, respectively. This causes the yield to increase in incorporation treatments when compared to fallow treatments. The data also reveals that total uptake of phosphorus and nitrogen was also recorded in dhaincha-incorporated plots fed by green gram and cowpea because of the residual effect of incorporation. Hence, dhaincha, because of its higher residual effect, rice grown in dhaincha-incorporated plots recorded higher yield, uptake of NPK, and soil nutrient status. Incorporation of dhaincha with 75% RDF to rice yielded almost the same as of 100% RDF&#x202F;+&#x202F;fallow [(3,873&#x00D7;75)/100&#x202F;=&#x202F;2,904&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>]. In a similar way, dhaincha without fertilizer had given a yield of 2,636&#x202F;kg/ha, and fallow&#x202F;+&#x202F;100% RDF resulted in a yield of 3,873&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>, whereas dhaincha&#x202F;+&#x202F;75% RDF yielded 3,724&#x202F;kg&#x202F;ha<sup>&#x2212;1</sup>, which was almost similar to the yield of 100% RDF. Hence, we can understand that dhaincha incorporation added nutrients and compensated for the chemical fertilizer, resulting in saving 20&#x2013;25% of nitrogen and phosphorus (approximately). Incorporation of legume residues releases beneficial nitrogen for the subsequent crop through decomposition and mineralization while minimizing negative environmental impacts, thereby showing residual effect on the subsequent crop (<xref ref-type="bibr" rid="ref44">Muschietti-Piana et al., 2020</xref>; <xref ref-type="bibr" rid="ref59">Regassa et al., 2023</xref>). Incorporation of summer legumes might have deposited residues of nitrogen for steady release to the standing crop, which enhanced the economic as well as biological yield (<xref ref-type="bibr" rid="ref3">Ammaji and Rao, 2020</xref>). Residual effects of summer legumes were also reported by <xref ref-type="bibr" rid="ref52">Pathak et al. (2018)</xref> and <xref ref-type="bibr" rid="ref9">Bharadwaj et al. (2023)</xref>.</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption><p>Residual effect of summer legumes on yield of <italic>kharif</italic> rice as influenced by treatments.</p></caption>
<graphic xlink:href="fsufs-09-1535162-g009.tif"/>
</fig>
<fig position="float" id="fig10">
<label>Figure 10</label>
<caption><p>Residual effect of summer legumes on yield, nutrient accumulation of <italic>kharif</italic> rice as influenced by treatments.</p></caption>
<graphic xlink:href="fsufs-09-1535162-g010.tif"/>
</fig>
<table-wrap position="float" id="tab12">
<label>Table 12</label>
<caption><p>Nutrient applied to <italic>kharif</italic> rice (pooled).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="left" valign="top">Effect</th>
<th align="center" valign="top">Yield (kg/ha)</th>
<th align="center" valign="top">Nitrogen applied (kg/ha)</th>
<th align="center" valign="top">Phosphorus applied (kg/ha)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Dhaincha + 100% RDF</td>
<td align="left" valign="top">Main effect</td>
<td align="center" valign="middle">3,873</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">30</td>
</tr>
<tr>
<td align="left" valign="top">Residual effect</td>
<td align="center" valign="middle">815</td>
<td align="center" valign="middle">68</td>
<td align="center" valign="middle">16.8</td>
</tr>
<tr>
<td align="left" valign="top">Cumulative effect</td>
<td align="center" valign="middle">4,688</td>
<td align="center" valign="middle">168</td>
<td align="center" valign="middle">46.8</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Green gram + 100% RDF</td>
<td align="left" valign="top">Main effect</td>
<td align="center" valign="middle">3,873</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">30</td>
</tr>
<tr>
<td align="left" valign="top">Residual effect</td>
<td align="center" valign="middle">571</td>
<td align="center" valign="middle">35.96</td>
<td align="center" valign="middle">12.39</td>
</tr>
<tr>
<td align="left" valign="top">Cumulative effect</td>
<td align="center" valign="middle">4,444</td>
<td align="center" valign="middle">135.96</td>
<td align="center" valign="middle">42.39</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Cowpea + 100% RDF</td>
<td align="left" valign="top">Main effect</td>
<td align="center" valign="middle">3,873</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">30</td>
</tr>
<tr>
<td align="left" valign="top">Residual effect</td>
<td align="center" valign="middle">437</td>
<td align="center" valign="middle">30.30</td>
<td align="center" valign="middle">9.15</td>
</tr>
<tr>
<td align="left" valign="top">Cumulative effect</td>
<td align="center" valign="middle">4,310</td>
<td align="center" valign="middle">130.30</td>
<td align="center" valign="middle">39.15</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Fallow + 100% RDF</td>
<td align="left" valign="top">Main effect</td>
<td align="center" valign="middle">3,873</td>
<td align="center" valign="middle">82.17</td>
<td align="center" valign="middle">17.58</td>
</tr>
<tr>
<td align="left" valign="top">Residual effect</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Cumulative effect</td>
<td align="center" valign="middle">3,873</td>
<td align="center" valign="middle">82.17</td>
<td align="center" valign="middle">17.58</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab13">
<label>Table 13</label>
<caption><p>Residual effect of summer legumes on yield of <italic>kharif</italic> rice as influenced by treatments (pooled basis).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatments</th>
<th align="center" valign="top">Main effect (Yield)</th>
<th align="center" valign="top">Soil (A)</th>
<th align="center" valign="top">Fertilizer + summer legume effect</th>
<th align="center" valign="top">Summer legume residual effect (C)</th>
<th align="center" valign="top">Cumulative effect (D)&#x202F;=&#x202F;A&#x202F;+&#x202F;B&#x202F;+&#x202F;C</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">F&#x202F;+&#x202F;100% RDF</td>
<td align="center" valign="middle">3,873</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle"><bold>1,706 (B)</bold></td>
<td align="center" valign="middle"><bold>100% chemical</bold></td>
<td align="center" valign="middle"><bold>3,873</bold></td>
</tr>
<tr>
<td align="left" valign="bottom">GG&#x202F;+&#x202F;100% RDF</td>
<td align="center" valign="middle">4,444</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">2,277</td>
<td align="center" valign="middle">571</td>
<td align="center" valign="middle">4,444</td>
</tr>
<tr>
<td align="left" valign="bottom">C&#x202F;+&#x202F;100% RDF</td>
<td align="center" valign="middle">4,310</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">2,143</td>
<td align="center" valign="middle">437</td>
<td align="center" valign="middle">4,310</td>
</tr>
<tr>
<td align="left" valign="bottom">D&#x202F;+&#x202F;100% RDF</td>
<td align="center" valign="middle">4,688</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">2,521</td>
<td align="center" valign="middle">815</td>
<td align="center" valign="middle">4,688</td>
</tr>
<tr>
<td align="left" valign="bottom">F&#x202F;+&#x202F;75% RDF</td>
<td align="center" valign="middle">2,784</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle"><bold>617 (B)</bold></td>
<td align="center" valign="middle"><bold>75% chemical</bold></td>
<td align="center" valign="middle"><bold>2,784</bold></td>
</tr>
<tr>
<td align="left" valign="bottom">GG&#x202F;+&#x202F;75% RDF</td>
<td align="center" valign="middle">3,294</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">1,127</td>
<td align="center" valign="middle">510</td>
<td align="center" valign="middle">3,294</td>
</tr>
<tr>
<td align="left" valign="bottom">C&#x202F;+&#x202F;75% RDF</td>
<td align="center" valign="middle">3,157</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">990</td>
<td align="center" valign="middle">373</td>
<td align="center" valign="middle">3,157</td>
</tr>
<tr>
<td align="left" valign="bottom">D&#x202F;+&#x202F;75% RDF</td>
<td align="center" valign="middle">3,724</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">1,557</td>
<td align="center" valign="middle">940</td>
<td align="center" valign="middle">3,724</td>
</tr>
<tr>
<td align="left" valign="bottom">F&#x202F;+&#x202F;50% RDF</td>
<td align="center" valign="middle">2,562</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle"><bold>395 (B)</bold></td>
<td align="center" valign="middle"><bold>50% chemical</bold></td>
<td align="center" valign="middle"><bold>2,562</bold></td>
</tr>
<tr>
<td align="left" valign="bottom">GG&#x202F;+&#x202F;50% RDF</td>
<td align="center" valign="middle">2,797</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">630</td>
<td align="center" valign="middle">235</td>
<td align="center" valign="middle">2,797</td>
</tr>
<tr>
<td align="left" valign="bottom">C&#x202F;+&#x202F;50% RDF</td>
<td align="center" valign="middle">2,786</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">619</td>
<td align="center" valign="middle">224</td>
<td align="center" valign="middle">2,786</td>
</tr>
<tr>
<td align="left" valign="bottom">D&#x202F;+&#x202F;50% RDF</td>
<td align="center" valign="middle">3,079</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">912</td>
<td align="center" valign="middle">517</td>
<td align="center" valign="middle">3,079</td>
</tr>
<tr>
<td align="left" valign="bottom">GG&#x202F;+&#x202F;NO FERTILIZER</td>
<td align="center" valign="middle">2,335</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle"><bold>168</bold></td>
<td align="center" valign="middle">2,335</td>
</tr>
<tr>
<td align="left" valign="bottom">C&#x202F;+&#x202F;NO FERTILIZER</td>
<td align="center" valign="middle">2,323</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle"><bold>156</bold></td>
<td align="center" valign="middle">2,323</td>
</tr>
<tr>
<td align="left" valign="bottom">D&#x202F;+&#x202F;NO FERTILIZER</td>
<td align="center" valign="middle">2,636</td>
<td align="center" valign="middle">2,167</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle"><bold>469</bold></td>
<td align="center" valign="middle">2,636</td>
</tr>
<tr>
<td align="left" valign="bottom"><bold>F&#x202F;+&#x202F;NO FERTILIZER (ONLY SOIL EFFECT)</bold></td>
<td align="center" valign="middle"><bold>2,167</bold></td>
<td align="center" valign="middle"><bold>2,167</bold></td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">2,167</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>GG&#x202F;=&#x202F;Green gram; C&#x202F;=&#x202F;Cowpea; D&#x202F;=&#x202F;Dhaincha; F&#x202F;= Fallow. Bold value indicates fallow and no fertilzer.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab14">
<label>Table 14</label>
<caption><p>Residual effect of summer legumes on yield of <italic>kharif</italic> rice as influenced by treatments (pooled).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatments</th>
<th align="center" valign="top">Main effect (Yield)</th>
<th align="center" valign="top">Soil (A)</th>
<th align="center" valign="top">Fertilizer + summer legume effect</th>
<th align="center" valign="top">Summer legume Residual effect (C)</th>
<th align="center" valign="top">Cumulative effect (D)&#x202F;=&#x202F;A&#x202F;+&#x202F;B&#x202F;+&#x202F;C</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">F&#x202F;+&#x202F;100% RDF</td>
<td align="center" valign="top">3,873</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">1,706 (B)</td>
<td align="center" valign="top">100% chemical</td>
<td align="center" valign="top">3,873</td>
</tr>
<tr>
<td align="left" valign="bottom">GG&#x202F;+&#x202F;100% RDF</td>
<td align="center" valign="top">4,444</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">2,277</td>
<td align="center" valign="top">571</td>
<td align="center" valign="top">4,444</td>
</tr>
<tr>
<td align="left" valign="bottom">C&#x202F;+&#x202F;100% RDF</td>
<td align="center" valign="top">4,310</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">2,143</td>
<td align="center" valign="top">437</td>
<td align="center" valign="top">4,310</td>
</tr>
<tr>
<td align="left" valign="bottom">D&#x202F;+&#x202F;100% RDF</td>
<td align="center" valign="top">4,688</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">2,521</td>
<td align="center" valign="top">815</td>
<td align="center" valign="top">4,688</td>
</tr>
<tr>
<td align="left" valign="bottom">F&#x202F;+&#x202F;75% RDF</td>
<td align="center" valign="top">2,784</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">617 (B)</td>
<td align="center" valign="top">75% chemical</td>
<td align="center" valign="top">2,784</td>
</tr>
<tr>
<td align="left" valign="bottom">GG&#x202F;+&#x202F;75% RDF</td>
<td align="center" valign="top">3,294</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">1,127</td>
<td align="center" valign="top">510</td>
<td align="center" valign="top">3,294</td>
</tr>
<tr>
<td align="left" valign="bottom">C&#x202F;+&#x202F;75% RDF</td>
<td align="center" valign="top">3,157</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">990</td>
<td align="center" valign="top">373</td>
<td align="center" valign="top">3,157</td>
</tr>
<tr>
<td align="left" valign="bottom">D&#x202F;+&#x202F;75% RDF</td>
<td align="center" valign="top">3,724</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">1,557</td>
<td align="center" valign="top">940</td>
<td align="center" valign="top">3,724</td>
</tr>
<tr>
<td align="left" valign="bottom">F&#x202F;+&#x202F;50% RDF</td>
<td align="center" valign="top">2,562</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">395 (B)</td>
<td align="center" valign="top">50% chemical</td>
<td align="center" valign="top">2,562</td>
</tr>
<tr>
<td align="left" valign="bottom">GG&#x202F;+&#x202F;50% RDF</td>
<td align="center" valign="top">2,797</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">630</td>
<td align="center" valign="top">235</td>
<td align="center" valign="top">2,797</td>
</tr>
<tr>
<td align="left" valign="bottom">C&#x202F;+&#x202F;50% RDF</td>
<td align="center" valign="top">2,786</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">619</td>
<td align="center" valign="top">224</td>
<td align="center" valign="top">2,786</td>
</tr>
<tr>
<td align="left" valign="bottom">D&#x202F;+&#x202F;50% RDF</td>
<td align="center" valign="top">3,079</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">912</td>
<td align="center" valign="top">517</td>
<td align="center" valign="top">3,079</td>
</tr>
<tr>
<td align="left" valign="bottom">GG&#x202F;+&#x202F;NO FERTILIZER</td>
<td align="center" valign="top">2,335</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">168</td>
<td align="center" valign="top">2,335</td>
</tr>
<tr>
<td align="left" valign="bottom">C&#x202F;+&#x202F;NO FERTILIZER</td>
<td align="center" valign="top">2,323</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">156</td>
<td align="center" valign="top">2,323</td>
</tr>
<tr>
<td align="left" valign="bottom">D&#x202F;+&#x202F;NO FERTILIZER</td>
<td align="center" valign="top">2,636</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">469</td>
<td align="center" valign="top">2,636</td>
</tr>
<tr>
<td align="left" valign="bottom">F&#x202F;+&#x202F;NO FERTILIZER (ONLY SOIL EFFECT)</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">2,167</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">2,167</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>GG&#x202F;=&#x202F;Green gram; C&#x202F;=&#x202F;Cowpea; D&#x202F;=&#x202F;Dhaincha; F&#x202F;= Fallow.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec30">
<label>6</label>
<title>Conclusion, recommendations and future study</title>
<p>Incorporation of summer legumes had no impact on organic carbon (%). Enhanced available N, P<sub>2</sub>O<sub>5</sub> and K<sub>2</sub>O content of the soil after harvesting of the crop as compare to initial soil values. However, more increase in available N, P<sub>2</sub>O<sub>5</sub> and K<sub>2</sub>O content was recorded under dhaincha incorporated plot. Nitrogen use efficiency, agronomic use efficiency was found higher in dhaincha incorporated plots applied with 100% RDF. Total uptake of NPK in rice plants was higher in dhaincha-100% RDF. Preceding summer legumes with residue incorporation could result in nitrogen economy for succeeding <italic>kharif</italic>, as it responded more in 100% RDF&#x202F;+&#x202F;dhaincha incorporation but at par with dhaincha&#x202F;+&#x202F;75% RDF&#x202F;+&#x202F;25% N from FYM. Exact quantification of nitrogen economy was not studied but the increment in yield and total nutrient uptake by rice when incorporated with dhaincha residues compared to fallow treatments gives an idea of residual effect of summer legumes and it may save an amount of 20&#x2013;25% fertilizer approximately.</p>
<p>From this study, Dhaincha (<italic>Sesbania aculeata</italic>) incorporation in conjunction with 100% recommended dose of fertilizers (RDF) or 75% RDF&#x202F;+&#x202F;25% N from FYM can be suggested to farmers to reduce synthetic fertilizer usage and achieving economic benefits.</p>
<p><bold>Future study:</bold> To draw more robust and comprehensive conclusions, future research should focus on long-term studies that incorporate detailed carbon profiling, nutrient recycling, microbial assessments, and climate resilience to evaluate the broader ecological impacts. Additionally, precise quantification of nitrogen savings and an analysis of the economic implications would provide actionable insights for farmers.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec31">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="sec32">
<title>Author contributions</title>
<p>TS: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HV: Conceptualization, Methodology, Project administration, Supervision, Validation, Writing &#x2013; review &#x0026; editing. KP: Conceptualization, Methodology, Writing &#x2013; review &#x0026; editing. MC: Formal analysis, Writing &#x2013; original draft. MS: Data curation, Writing &#x2013; review &#x0026; editing. SM: Formal analysis, Funding acquisition, Writing &#x2013; review &#x0026; editing. AE: Writing &#x2013; review &#x0026; editing. AS: Formal analysis, Funding acquisition, Writing &#x2013; review &#x0026; editing. AEE: Data curation, Writing &#x2013; review &#x0026; editing. DE-S: Data curation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec33">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by Taif University, Saudi Arabia, Project No. (TU-DSPP-2024-53) &#x0026; Open access funding provided by the University of P&#x00E9;cs, Hungary.</p>
</sec>
<ack>
<p>The authors extend their appreciation to Taif University, Saudi Arabia, for supporting this work through project number (TU-DSPP-2024-53), also, Special thanks to Navsari Agricultural University and farm manager for conducting of experiment and to all my co-authors.</p>
</ack>
<sec sec-type="COI-statement" id="sec34">
<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="sec35">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec36">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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