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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2024.1379485</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Organic fertilizer substituting 20% chemical N increases wheat productivity and soil fertility but reduces soil nitrate-N residue in drought-prone regions</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2644274"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Shuang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Peipei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Rongrong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Jinhua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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<contrib contrib-type="author">
<name>
<surname>Xiao</surname>
<given-names>Huishu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Jinzhi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Shaaban</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/401993"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Youjun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huang</surname>
<given-names>Ming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2626599"/>
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<aff id="aff1">
<sup>1</sup>
<institution>College of Agriculture, Henan University of Science and Technology</institution>, <addr-line>Luoyang, Henan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>College of Biopharmaceutical and Food Engineering, Shangluo University</institution>, <addr-line>Shangluo, Shaanxi</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Khurram Shahzad, Lasbela University of Agriculture, Water and Marine Sciences, Pakistan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Tajamul Hussain, Oregon State University, United States</p>
<p>Kailou Liu, Jiangxi Institute of Red Soil, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Youjun Li, <email xlink:href="mailto:lyj@haust.edu.cn">lyj@haust.edu.cn</email>; Ming Huang, <email xlink:href="mailto:huangming_2003@126.com">huangming_2003@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1379485</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Zhang, Li, Jiang, Wang, Guo, Xiao, Wu, Shaaban, Li and Huang</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhang, Li, Jiang, Wang, Guo, Xiao, Wu, Shaaban, Li and Huang</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>Organic fertilizer substitution is an effective measure for increasing both the quantity and quality of wheat grain while reducing chemical fertilizer input. However, the effects of reducing nitrogen (N) fertilizer combined with organic fertilizer substitution on grain yield, grain protein content and protein yield, plant N accumulation and translocation, N use efficiency, soil fertility, N apparent surplus and nitrate-N residue in rain-fed drought-prone areas remains limited. In this study, field experiments were conducted over four consecutive seasons (2019-2023) at two sites with four treatments: zero N application (ZN), farmer N application (FN), reduced 20% N of FN (RN), and organic fertilizer substituting 20% N of RN (OSN). The results showed that compared with the ZN treatment, the FN, RN and OSN treatments increased grain yield and its components, grain protein content and protein yield, aboveground N accumulation at the anthesis and maturity stages, pre-anthesis N translocation, post-anthesis N accumulation, N use efficiency, soil fertility. Compared with RN and FN, OSN increased grain yield by 17.12% and 15.03%, grain protein yield by 3.31% and 17.15%, grain N accumulation by 17.78% and 15.58%, and N harvest index by 2.63% and 4.45% averaged across years and sites, respectively. Moreover, OSN increased the contents of organic matter, total N, available P and available K in both 0-20 and 20-40 cm soil layers, decreased N apparent surplus and nitrate-N residue in 0-100 cm, and pH in both 0-20 and 20-40 cm soil layer. Fundamentally, this study suggests that integrating a 20% reduction N from conventional farmer practices with the utilization of organic fertilizer to replace 20% of the chemical N fertilizer (OSN) represents an effective strategy. This approach shows promise in enhancing wheat grain yield, grain protein yield, and N use efficiency. Additionally, it supports the improvement of soil fertility while simultaneously reducing soil nitrate-N residues and the apparent surplus of N in rain-fed drought-prone regions.</p>
</abstract>
<kwd-group>
<kwd>dryland</kwd>
<kwd>organic fertilizer substitution</kwd>
<kwd>grain yield</kwd>
<kwd>grain protein</kwd>
<kwd>N use efficiency</kwd>
<kwd>soil fertility</kwd>
<kwd>nitrate-N residue</kwd>
</kwd-group>
<contract-num rid="cn001">No. 2022YFD2300800</contract-num>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="16"/>
<word-count count="8585"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Wheat (<italic>Triticum aestivum</italic> L.) is one of the most important staple cereals worldwide, providing approximately 20% of the global calorie and protein supply (<xref ref-type="bibr" rid="B74">Zhong et&#xa0;al., 2019</xref>). Therefore, boosting wheat yield and quality plays an important role in food safety. In China, wheat accounted for 20.4% of the total crop area and 24.3% of the total food crop production (<xref ref-type="bibr" rid="B37">National Bureau of Statistics, 2020</xref>). Despite this, around 1/3 of wheat production emanates from China&#x2019;s rain-fed drylands&#x2014;regions characterized by aridity, semi-aridity, and humid drought-prone (<xref ref-type="bibr" rid="B55">Wu et&#xa0;al., 2023b</xref>). In these regions, precipitation is the main water sources for wheat growth, and the seasonal unevenness of rainfall causes the grain production potential to decrease by up to 60-70% (<xref ref-type="bibr" rid="B41">Ren et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B72">Zhang et al, 2020</xref>); meanwhile, water limitation during wheat growth stages hinders nutrient uptake from the soil by plants, thereby resulting in wheat quality fluctuation including protein content under different rainfall patterns. For example, in the Heyang County, where belongs to typical dryland in China, the wheat protein content in humid year is 8.3% and 5.2% lower than that in dry year and normal year, respectively (<xref ref-type="bibr" rid="B30">Liu et al., 2021</xref>). Nevertheless, nutrient shortfalls impose significant constraints of crop production in these regions (<xref ref-type="bibr" rid="B69">Zhang et al., 2023</xref>). On the pursuit of the targets for high yield and high quality, the mass even excessive chemical fertilizer was applied to wheat field to minimize the limitation of water and nutrients, which leads to the low efficiency and great environmental risk (<xref ref-type="bibr" rid="B4">Bom et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B31">Lu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B36">Nadeem et&#xa0;al., 2022</xref>). Therefore, it is imperative to improve fertilization practices to increase grain and protein yield, and resource efficiency and reduce the environmental risk for sustainable wheat production in rain-fed drought-prone areas.</p>
<p>Nitrogen (N), one of the most important macro elements for crop growth and development (<xref ref-type="bibr" rid="B34">Makino, 2011</xref>; <xref ref-type="bibr" rid="B16">Jones et&#xa0;al., 2013</xref>), plays an important role in uplifting the grain yield and quality wheat (<xref ref-type="bibr" rid="B50">Tilman et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B35">McLellan et&#xa0;al., 2018</xref>). To boost wheat productivity, high quantities of manufactured N are used in China and throughout the world (<xref ref-type="bibr" rid="B52">Wang et&#xa0;al., 2023</xref>). <xref ref-type="bibr" rid="B27">Liu et&#xa0;al. (2018)</xref> concluded that a scientific N application was beneficial to root growth, alleviates the negative impact to some extent, and thus promotes water and N uptake by wheat to increase the grain yield in drought-prone areas. However, applying excessive amounts of N fertilizer is not conducive to high-yielding and high-efficient production of wheat (<xref ref-type="bibr" rid="B3">Bappa et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B61">Yang et&#xa0;al., 2021</xref>). In rain-fed wheat production, the recommended N rate is between 150 and 250 kg ha<sup>-1</sup>, but generally the N rate is more than 225 kg ha<sup>-1</sup> in farmer production (<xref ref-type="bibr" rid="B70">Zhang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B32">Luo et&#xa0;al., 2020</xref>). These long-term improper applications of N fertilizer have caused low N use efficiency and high risk of nitrate-N residue (<xref ref-type="bibr" rid="B76">Zhou et al., 2016</xref>; <xref ref-type="bibr" rid="B4">Bom et&#xa0;al., 2018</xref>). Thus, fertilization strategies that provide food security and environmental sustainability through optimizing the application rate of chemical N fertilizer are urgently required (<xref ref-type="bibr" rid="B40">Peng et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B51">Wang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B42">Ren et&#xa0;al., 2023</xref>). <xref ref-type="bibr" rid="B5">Cao et&#xa0;al. (2023)</xref> found that 20% reduction of N application had the highest wheat yield in plastic film mulching maize-no-tillage wheat rotation system. While <xref ref-type="bibr" rid="B67">Zhang et&#xa0;al. (2023)</xref> concluded that reduced 20% the application rate of chemical N fertilizer did not significantly decrease wheat yield in rice-wheat cropping system. These studies showed that reduced 20% of N fertilizer may maintain or even increase wheat yield, and it is feasible in practice.</p>
<p>Organic fertilizer substitution is an effectively technique to coordinate with soil fertility and crop production (<xref ref-type="bibr" rid="B45">Saudy et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B2">Abd-Elrahman et&#xa0;al., 2022</xref>). Many studies have shown that organic fertilizer substitution can increase soil organic matter content, promote soil fertility, and improve crop yield. <xref ref-type="bibr" rid="B57">Xia et&#xa0;al. (2017)</xref> showed substituting organic fertilizer for chemical fertilizer increased crop productivity by 6.8%. <xref ref-type="bibr" rid="B13">He et&#xa0;al. (2022)</xref> found that organic fertilizer substitution increased soil organic matter, alkali-hydrolyzable N, available phosphorus (P) and available potassium (K) in both low fertility soil and high fertility soil. <xref ref-type="bibr" rid="B1">Abbasi and Tahir (2012)</xref> concluded that organic fertilizer substituting 25% chemical N fertilizer could ensure wheat yield stability, promote N uptake, and increase N utilization by 20%. <xref ref-type="bibr" rid="B56">Wu et&#xa0;al., 2023a</xref> found that organic fertilizer substituting 33% chemical N fertilizer significantly increased wheat protein content and protein yield by 8.0% and 6.3%, respectively. With the advancement of China&#x2019;s &#x201c;Zero Growth of Chemical Fertilizer&#x201d; action in recently years, the organic fertilizer substitution techniques become more widely used in agricultural production (<xref ref-type="bibr" rid="B53">Wang et&#xa0;al., 2021</xref>), which is favorable for the local fertilizer management converted towards more sustainable practice. However, the impacts of organic fertilizer substitution varied markedly owing to the great differences of wheat production regions in climate conditions, cropping systems and fertilization methods (<xref ref-type="bibr" rid="B65">Zhang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B33">Lv et&#xa0;al., 2023</xref>), thus suitable fertilizer management practices should be further explored and carefully adapted and adopted, taking advantages of local resources (<xref ref-type="bibr" rid="B48">Tan et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B29">Liu et al., 2019</xref>).</p>
<p>In practice, only a minority of farmers opt to use organic fertilizer for food crops, particularly in dryland wheat production areas. This reluctance can be attributed to several factors. Primarily, the limited availability of organic fertilizer and its relatively high cost mean it is predominantly used for high-profit crops such as organically grown food, vegetables, and fruits, rather than for grain crops (<xref ref-type="bibr" rid="B71">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="B47">Shi and Yang, 2023</xref>). Additionally, organic fertilizers often do not show immediate benefits, in contrast to the readily observable impact of chemical fertilizers on crop growth and yield formation (<xref ref-type="bibr" rid="B6">Case et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B25">Li et&#xa0;al., 2021</xref>). Furthermore, research on organic fertilizer lags behind that of chemical fertilizers, which restricts the application and broader adoption of organic alternatives (<xref ref-type="bibr" rid="B17">Ju and Zhang, 2021</xref>; <xref ref-type="bibr" rid="B47">Shi and Yang, 2023</xref>). This situation highlights the imperative for more comprehensive studies to examine the effects of substituting organic for chemical fertilizers on winter wheat productivity. Such research would offer robust field demonstrations to encourage farmers in rain-fed, drought-prone areas to adopt organic fertilization methods.</p>
<p>Within these contexts, our study proposed that integrating reduced N of farmer practice with organic fertilizer substituting could optimize N productivity in winter wheat and reduce soil nitrate-N residue. A 4-year experiment was employed in two sites in a semi-humid, drought-prone region. The objectives were to (1) quantify the impact of reduced N of farmer practice, organic fertilizer substituting on wheat yield, protein content and yield and N use efficiency, and (2) evaluate their effects on soil fertility, N apparent surplus and nitrate-N residue, and (3) identify an optimal agronomic strategy that synergizes wheat productivity, soil fertility and nitrate-N residue in these challenging environments.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Experimental site description</title>
<p>An experiment was performed 4 years from October 2019 to June 2023 in two sites&#x2014;Mengjin (34&#xb0;49&#x2032;N, 112&#xb0;35&#x2032;E) and Luoning (34&#xb0;47&#x2032;N, 111&#xb0;71&#x2032;E) in Luoyang, the typical rain-fed drought-prone area (junction of the Loess Plateau and the Huang-Huai-Hai Plain), China. The altitude of Mengjin site and Luoning site are 262 m and 560 m, respectively. During the present study, the annual average temperature and precipitation of Mengjin site were 14.6&#xb0;C and 610.2 mm, and that of Luoning site were 13.7&#xb0;C and 552.9 mm, respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Winter wheat-summer maize is the typical cropping system in Mengjin and winter wheat-summer fallow in Luoning. The soils of both the two sites are classified as brown soil. At the initiation of the experiment in 2019, the basic soil properties (0-40 cm layer) are listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Monthly precipitation during the experiment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1379485-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Basic soil properties of the top 0-40 cm soil layers.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Site</th>
<th valign="middle" align="center">Soil layer<break/>(cm)</th>
<th valign="middle" align="center">Organic matter<break/>(g kg<sup>-1</sup>)</th>
<th valign="middle" align="center">Total N<break/>(g kg<sup>-1</sup>)</th>
<th valign="middle" align="center">Nitrate-N<break/>(mg kg<sup>-1</sup>)</th>
<th valign="middle" align="center">Available P<break/>(mg kg<sup>-1</sup>)</th>
<th valign="middle" align="center">Available K<break/>(mg kg<sup>-1</sup>)</th>
<th valign="middle" align="center">pH</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="center">Mengjin</td>
<td valign="middle" align="center">0-20</td>
<td valign="middle" align="center">14.71</td>
<td valign="middle" align="center">1.17</td>
<td valign="middle" align="center">12.05</td>
<td valign="middle" align="center">19.38</td>
<td valign="middle" align="center">139.74</td>
<td valign="middle" align="center">7.54</td>
</tr>
<tr>
<td valign="middle" align="center">20-40</td>
<td valign="middle" align="center">10.74</td>
<td valign="middle" align="center">0.85</td>
<td valign="middle" align="center">8.99</td>
<td valign="middle" align="center">5.64</td>
<td valign="middle" align="center">106.87</td>
<td valign="middle" align="center">7.41</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">Luoning</td>
<td valign="middle" align="center">0-20</td>
<td valign="middle" align="center">12.72</td>
<td valign="middle" align="center">0.73</td>
<td valign="middle" align="center">7.83</td>
<td valign="middle" align="center">15.68</td>
<td valign="middle" align="center">197.57</td>
<td valign="middle" align="center">7.26</td>
</tr>
<tr>
<td valign="middle" align="center">20-40</td>
<td valign="middle" align="center">9.56</td>
<td valign="middle" align="center">0.54</td>
<td valign="middle" align="center">5.91</td>
<td valign="middle" align="center">3.15</td>
<td valign="middle" align="center">136.71</td>
<td valign="middle" align="center">7.23</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Experimental design and field management</title>
<p>The present study was conducted from October 2021 to June 2023. A completely randomized block design was used, with three replicates for each treatment. The plots were 72.0 m<sup>2</sup> (10.0 m&#xd7;7.2 m) and 25.2 m<sup>2</sup> (7 m&#xd7;3.6 m) in Mengjin and Luoning, with a 1.2 m wide buffer strip between the plots to avoid effects of nutrients accorded the plots. Four treatments were used: (1) zero N application (ZN); (2) farmer N application (FN) as local farmer practice; (3) reduced N application (RN), 20% reduction of N fertilizer based on FN, and (4) organic fertilizer substituting 20% N of reduced N application (OSN). All treatments received same amount P and K fertilizers (P<sub>2</sub>O<sub>5</sub> 90 kg ha<sup>-1</sup>, K<sub>2</sub>O 60 kg ha<sup>-1</sup>). The application rate of chemical N in FN was 192 kg ha<sup>-1</sup> and 172 kg ha<sup>-1</sup> in Mengjin and Luoning, respectively. In OSN, the application rate of chemical N was 122.9 kg ha<sup>-1</sup> and 110.1 kg ha<sup>-1</sup>, and the application amount of organic fertilizer was 706.6 kg ha<sup>-1</sup> and 633.0 kg ha<sup>-1</sup> in Mengjin and Luoning, respectively. N, P, K fertilizers were urea (N, 46%), triple superphosphate (P<sub>2</sub>O<sub>5</sub>, 12%) and potassium sulfate (K<sub>2</sub>O, 50%), respectively. Organic fertilizer (N, 2.6%; P<sub>2</sub>O<sub>5</sub>, 1.5%; K<sub>2</sub>O, 2.5%; organic matter, 50%; living bacteria count &#x2265;20 million g<sup>-1</sup>) was provided by Luoyang Qihe Ecological Agricultural Technology Co., Ltd. (Luoyang, Henan, China). All fertilizers were broadcasted in the corresponding plots as basal fertilizer. Wheat (<italic>Triticum aestivum</italic> L.) cultivars Zhoumai 27 and Luohan 22 were used in Mengjin and Luoning, respectively. In each growing season, wheat was sown in middle or late October, depending on weather conditions, at a seedling rate of 225 kg ha<sup>-1</sup>, and harvested in late May or early June. Weeds, pests, and diseases were controlled with herbicides and pesticides according to local practices.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Measurements and methods</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Grain yield and yield components</title>
<p>At maturity, three quadrats covering 1 m<sup>2</sup> (1m&#xd7;1m) were randomly harvested from each plot and threshed after air-drying. Grains from the three quadrats of same plot were mixed and weighed, and then 50 &#xb1; 5 g grains were oven-dried at 70&#xb0;C to constant weight to determine the moisture contents in grain. Grain yield was standardized at a 12.5% moisture content. Before harvest, spike number was counted from the two 1 m double rows of each plot. Grain number per spike was determined by calculating grains of 50 randomly selected spikes from the two 1 m double rows. The 1000-grain weight was calculated by weighing 1000 grains of each sample.</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>N accumulation, translocation, and distribution</title>
<p>At anthesis, 300 stems of relatively uniform were marked in each plot. After that, the 50 marked stems were manually sampled by cutting aboveground parts at the anthesis and maturity stages, and organs were separated into leaves, stem+sheaths, and spikes (further separated into grain and glume+axis at maturity). All samples were first dried at 105&#xb0;C for 30 min, and then at 70&#xb0;C until constant weight to measure the aboveground biomass (kg ha<sup>-1</sup>). N concentration was determined by milling the dried samples, passing through a 0.25mm sieve, and then the total N concentration was digested by H<sub>2</sub>SO<sub>4</sub>-H<sub>2</sub>O<sub>2</sub> and examined using a high-resolution digital colorimeter auto analyzer 3 (AA3, SEAL Company, Germany). The N accumulation in different organs was N concentration multiplied by the dry weight of the corresponding organ.</p>
<p>The calculation formula was as follows (<xref ref-type="bibr" rid="B63">Yu et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B19">Li et al., 2023</xref>):</p>
<list list-type="simple">
<list-item>
<p>(1) Pre-anthesis N translocation amount (kg ha<sup>-1</sup>) = N accumulation of vegetative organs at anthesis &#x2212; N accumulation of vegetative organs at maturity;</p>
</list-item>
<list-item>
<p>(2) Contribution rate of pre-anthesis N translocation amount to grain (%) = Pre-anthesis N translocation amount/grain N accumulation at maturity&#xd7;100;</p>
</list-item>
<list-item>
<p>(3) Post-anthesis N accumulation amount (kg ha<sup>-1</sup>) = Grain N accumulation at maturity &#x2212; shoot N accumulation at anthesis;</p>
</list-item>
<list-item>
<p>(4) Contribution rate of post-anthesis N accumulation amount to grain (%) = Post-anthesis N accumulation/grain N accumulation at maturity&#xd7;100;</p>
</list-item>
<list-item>
<p>(5) N harvest index (%) = Grain N accumulation at maturity/Shoot N accumulation at maturity&#xd7;100.</p>
</list-item>
</list>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>Grain protein content and protein yield</title>
<p>The protein content and protein yield were calculated as follows (<xref ref-type="bibr" rid="B15">Huang et&#xa0;al., 2021</xref>):</p>
<list list-type="simple">
<list-item>
<p>(6) Protein content (%) = Grain N concentration&#xd7;5.7;</p>
</list-item>
<list-item>
<p>(7) Protein yield (kg ha<sup>-1</sup>) = Protein content&#xd7;grain dry matter amount.</p>
</list-item>
</list>
</sec>
<sec id="s2_3_4">
<label>2.3.4</label>
<title>Calculation of N use efficiency and N apparent surplus</title>
<p>The N use efficiency was calculated as follows (<xref ref-type="bibr" rid="B15">Huang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B66">Zhang et al., 2023</xref>):</p>
<list list-type="simple">
<list-item>
<p>(8) N grain production efficiency (kg kg<sup>-1</sup>) = Grain yield/Shoot N accumulation at maturity&#xd7;100;</p>
</list-item>
<list-item>
<p>(9) N uptake efficiency (kg kg<sup>-1</sup>) = Shoot N accumulation at maturity/N application rate;</p>
</list-item>
<list-item>
<p>(10) N agronomy efficiency (kg kg<sup>-1</sup>) = (Grain yield under N application treatment &#x2212; grain yield under ZN treatment)/N application rate;</p>
</list-item>
<list-item>
<p>(11) N recovery efficiency (%) = (Shoot N accumulation amount under N application treatment &#x2212; Shoot N accumulation amount under ZN treatment)/N application rate&#xd7;100;</p>
</list-item>
<list-item>
<p>(12) N partial factor productivity (kg kg<sup>-1</sup>) = Grain yield under N application treatment/N application rate.</p>
</list-item>
</list>
<p>The N apparent surplus was calculated as follows (<xref ref-type="bibr" rid="B22">Li et&#xa0;al., 2015</xref>):</p>
<p>(13) N apparent surplus (kg ha<sup>-1</sup>) = N application rate &#x2212; Grain N accumulation at maturity.</p>
</sec>
<sec id="s2_3_5">
<label>2.3.5</label>
<title>Soil sampling and analysis</title>
<p>Soil samples were taken 3 days after harvesting in 2023. Five soil subsamples from 0 to 100 cm depth with 20 cm increments were randomly collected from each plot using a soil drill (4.0 cm in diameter). After removing visible roots and stones, the fresh soil subsamples were thoroughly mixed to get a composite soil sample. About 300 g soil was collected for soil fertility analysis and the rest was stored in a freezer at -20&#xb0;C for nitrate-N residue analysis within 7 days. The sample for soil fertility was air-dried and then passed through 2.0 mm sieve. The determination methods of soil fertility were performed according to <xref ref-type="bibr" rid="B7">Chen et&#xa0;al. (2017)</xref>. External heating with potassium dichromate was used to determine organic matter. Total N was quantified with Kjeldahl digestion and examined using a high-resolution digital colorimeter auto analyzer 3 (AA3, SEAL Company, Germany). The 0.5 mol L<sup>-1</sup> NaHCO<sub>3</sub>-molybdeenum blue colorimetric method was used to measure available P. The 1 mol L<sup>-1</sup> ammonium acetate-flame spectrophotometry method was used to measure available K. The soil pH (1:8 soil: water ratio) was measured using a digital pH meter (PHSJ-4F, Leici Company, China). The nitrate-N residue was quantified with the method described by <xref ref-type="bibr" rid="B8">Dai et&#xa0;al. (2015)</xref>. Briefly, fresh soil samples weighing 5.0 g were extracted with 50 mL of 1.0 mol L<sup>-1</sup> KCl after shaking for 1h, and then nitrate-N concentration was measured by a high-resolution digital colorimeter auto analyzer 3 (AA3, SEAL Company, Germany). The nitrate-N residues in each soil layer were calculated as follows:</p>
<p>(14) Nitrate-N residue (kg ha<sup>-1</sup>) = H<sub>i</sub>&#xd7;D<sub>i</sub>&#xd7;C<sub>i</sub>&#xd7;0.1. Where Hi is the soil thickness of the i layer (cm), Di is the soil bulk density (g cm<sup>-3</sup>), Ci is the nitrate-N concentration (mg kg<sup>-1</sup>) in the corresponding soil layer and 0.1 is the conversion coefficient.</p>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Data were analyzed using Microsoft Excel 2010 (Microsoft Windows, Redmond, DC, USA) and SPSS 18.0 (IBM, Corp., Chicago, IL, USA). The differences test was performed by the Duncan&#x2019;s test at a 0.05 probability level. Principal component analysis was performed on the measured indexes using SPSS 18.0 and a graphical presentation was generated using Origin 2024 (Origin Lab Corporation, Northampton, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Grain yield and yield components</title>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> presented year (Y) and treatment (T) extremely significantly but not site (S) affected the grain yield, spike number and grain number per spike, and significantly affected 1000-grain weight, the interaction of S and Y, Y and T, and S, T and Y extremely significantly affected on grain number per spike; while the interaction of S and Y significantly affected on 1000-grain weight. Compared with ZN, FN, RN and OSN significantly increased wheat grain yield, spike number and grain number per spike in both years and sites. Compared with FN, RN did not significantly decrease wheat yield, spike number and grain number per spike except grain number per spike in Mengjin and spike number in Luoning in 2022-2023. Compared with RN and FN, the grain yield, spike number, grain number per spike and 1000-grain weight under OSN increased by 17.12% and 15.03%, 11.11% and 7.21%, 6.45% and 2.95%, 1.41% and 1.03%, respectively, averaged across years and sites.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Effects of different treatments on wheat yield and its components of winter wheat in 2021-2023.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Site</th>
<th valign="middle" align="center">Year</th>
<th valign="middle" align="center">Treatment</th>
<th valign="middle" align="center">Grain yield/<break/>(kg ha<sup>-1</sup>)</th>
<th valign="middle" align="center">Spike number/<break/>(10<sup>4</sup> ha<sup>-1</sup>)</th>
<th valign="middle" align="center">Grain number<break/>per spike</th>
<th valign="middle" align="center">1000-grain<break/>weight (g)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="8" align="center">Mengjin</td>
<td valign="middle" rowspan="4" align="center">2021-2022</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">3820 c</td>
<td valign="middle" align="center">411.3 c</td>
<td valign="middle" align="center">28.5 c</td>
<td valign="middle" align="center">39.2 b</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">5450 b</td>
<td valign="middle" align="center">476.9 b</td>
<td valign="middle" align="center">33.6 ab</td>
<td valign="middle" align="center">41.0 a</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">5373 b</td>
<td valign="middle" align="center">460.8 b</td>
<td valign="middle" align="center">32.9 b</td>
<td valign="middle" align="center">42.0 a</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">6214 a</td>
<td valign="middle" align="center">516.3 a</td>
<td valign="middle" align="center">34.6 a</td>
<td valign="middle" align="center">42.3 a</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">2022-2023</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">3634 c</td>
<td valign="middle" align="center">398.1 c</td>
<td valign="middle" align="center">26.8 c</td>
<td valign="middle" align="center">39.8 b</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">5170 b</td>
<td valign="middle" align="center">431.7 b</td>
<td valign="middle" align="center">37.2 a</td>
<td valign="middle" align="center">41.7 a</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">5088 b</td>
<td valign="middle" align="center">415.6 b</td>
<td valign="middle" align="center">35.5 b</td>
<td valign="middle" align="center">41.4 a</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">6038 a</td>
<td valign="middle" align="center">465.2 a</td>
<td valign="middle" align="center">37.7 a</td>
<td valign="middle" align="center">41.7 a</td>
</tr>
<tr>
<td valign="middle" rowspan="8" align="center">Luoning</td>
<td valign="middle" rowspan="4" align="center">2021-2022</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">3540 c</td>
<td valign="middle" align="center">398.1 c</td>
<td valign="middle" align="center">26.8 c</td>
<td valign="middle" align="center">39.6 a</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">5101 b</td>
<td valign="middle" align="center">431.7 b</td>
<td valign="middle" align="center">32.5 ab</td>
<td valign="middle" align="center">40.4 a</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">5057 b</td>
<td valign="middle" align="center">415.6 b</td>
<td valign="middle" align="center">31.5 b</td>
<td valign="middle" align="center">39.7 a</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">5803 a</td>
<td valign="middle" align="center">465.2 a</td>
<td valign="middle" align="center">33.3 a</td>
<td valign="middle" align="center">40.6 a</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">2022-2023</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">3472 c</td>
<td valign="middle" align="center">366.0 d</td>
<td valign="middle" align="center">29.9 c</td>
<td valign="middle" align="center">39.3 b</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">4985 b</td>
<td valign="middle" align="center">406.9 b</td>
<td valign="middle" align="center">35.8 ab</td>
<td valign="middle" align="center">42.4 a</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">4824 b</td>
<td valign="middle" align="center">393.8 c</td>
<td valign="middle" align="center">34.6 b</td>
<td valign="middle" align="center">41.8 ab</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">5761 a</td>
<td valign="middle" align="center">427.3 a</td>
<td valign="middle" align="center">37.6 a</td>
<td valign="middle" align="center">42.6 a</td>
</tr>
<tr>
<td valign="middle" rowspan="7" colspan="2" align="center">Sources of variance<break/>(<italic>F</italic>-value)</td>
<td valign="middle" align="center">Site (S)</td>
<td valign="middle" align="center">22.91</td>
<td valign="middle" align="center">51.63</td>
<td valign="middle" align="center">0.57</td>
<td valign="middle" align="center">0.23</td>
</tr>
<tr>
<td valign="middle" align="center">Year (Y)</td>
<td valign="middle" align="center">19.27**</td>
<td valign="middle" align="center">116.68**</td>
<td valign="middle" align="center">186.97**</td>
<td valign="middle" align="center">6.61*</td>
</tr>
<tr>
<td valign="middle" align="center">Treatment (T)</td>
<td valign="middle" align="center">806.77**</td>
<td valign="middle" align="center">48.84**</td>
<td valign="middle" align="center">26.81**</td>
<td valign="middle" align="center">19.59*</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;Y</td>
<td valign="middle" align="center">2.21</td>
<td valign="middle" align="center">2.26</td>
<td valign="middle" align="center">16.49**</td>
<td valign="middle" align="center">6.17*</td>
</tr>
<tr>
<td valign="middle" align="center">Y&#xd7;T</td>
<td valign="middle" align="center">0.76</td>
<td valign="middle" align="center">2.04</td>
<td valign="middle" align="center">11.71**</td>
<td valign="middle" align="center">0.61</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;T</td>
<td valign="middle" align="center">4.66</td>
<td valign="middle" align="center">0.85</td>
<td valign="middle" align="center">0.66</td>
<td valign="middle" align="center">0.25</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;T&#xd7;Y</td>
<td valign="middle" align="center">0.09</td>
<td valign="middle" align="center">2.40</td>
<td valign="middle" align="center">8.07**</td>
<td valign="middle" align="center">1.99</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ZN, FN, RN and OSN indicated zero N application, farmer N application, 20% reduction of N fertilizer based on FN and organic fertilizer substituting 20% N of RN, respectively. Different lowercase letters within the same year and the same column indicate significant differences at P&lt;0.05 among treatments. * and ** indicate significant difference at P&lt;0.05 and P&lt;0.01, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>N accumulation</title>
<p>The year (Y), treatment (T), interaction of S and year (Y), and interaction of S, T and Y extremely significantly affected N accumulation at anthesis and maturity, and the N accumulation at anthesis and maturity showed the same order of ZN&lt;RN&lt;FN&lt;OSN in both years and sites (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Compared with ZN, FN, RN and OSN increased N accumulation by 72.51%, 63.22% and 82.06% at anthesis and by 72.44%, 66.50% and 90.12% at maturity in Mengjin, respectively; and by 81.35%, 70.97% and 91.99% and by 82.79%, 76.15% and 103.01% in Luoning, averaged across years. These results showed that OSN significantly increased accumulation N at anthesis and maturity, compared with FN and RN. However, RN reduced N accumulation by 5.57% and 3.54% at anthesis and maturity compared with FN, averaged across years and sites.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effects of different treatments on N accumulation at anthesis and maturity of winter wheat in 2021-2023. ZN, FN, RN and OSN indicated zero N application, farmer N application, 20% reduction of N fertilizer based on FN and organic fertilizer substituting 20% N of RN, respectively. Lowercase letters above bars within the same growth stage indicate significant difference among treatments (<italic>P</italic>&lt;0.05). * and ** indicate significant difference at <italic>P</italic>&lt;0.05 and <italic>P</italic>&lt;0.01, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1379485-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Pre-anthesis N translocation, post-anthesis N accumulation and N harvest index</title>
<p>As shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, year (Y), treatment (T) significantly affected the characteristics of pre-anthesis N translocation, post-anthesis N accumulation and N harvest index, and the intersection of S&#xd7;Y, Y&#xd7;T, S&#xd7;T&#xd7;Y extremely significantly affected N harvest index. Compared with ZN, FN, RN, OSN increased pre-anthesis N translocation amount, post-anthesis N accumulation amount, and contribution rate of post-anthesis N accumulation amount to grain, and thus increased the N accumulation amount in grain, but decreased the N harvest index. Compared with FN and RN, OSN significantly increased N accumulation amount in grain by 14.57% and 16.84% in Mengjin and by 16.59% and 18.70% in Luoning averaged across years, respectively, and thus significantly increased the N harvest index. Compared with FN and RN, OSN increased the N harvest index by 3.91% and 2.30% in Mengjin and by 4.96% and 2.91% in Luoning averaged across years, respectively.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Effects of different treatments on N translocation, N accumulation and N harvest index of winter wheat in 2021-2023.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Site</th>
<th valign="middle" rowspan="2" align="center">Year</th>
<th valign="middle" rowspan="2" align="center">Treatment</th>
<th valign="middle" colspan="2" align="center">Pre-anthesis N</th>
<th valign="middle" colspan="2" align="center">Post-anthesis N</th>
<th valign="middle" align="center" rowspan="2">N accumulation<break/>amount in grain<break/>(kg ha<sup>-1</sup>)</th>
<th valign="middle" align="center" rowspan="2">N harvest<break/>index (%)</th>
</tr>
<tr>
<th valign="middle" align="center">Translocation<break/>Amount<break/>(kg ha<sup>-1</sup>)</th>
<th valign="middle" align="center">Contribution<break/>rate to grain<break/>(%)</th>
<th valign="middle" align="center">Accumulation<break/>amount<break/>(kg ha<sup>-1</sup>)</th>
<th valign="middle" align="center">Contribution<break/>rate to grain<break/>(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="8" align="center">Mengjin</td>
<td valign="middle" rowspan="4" align="center">2021-2022</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">64.99 d</td>
<td valign="middle" align="center">78.31 a</td>
<td valign="middle" align="center">17.99 c</td>
<td valign="middle" align="center">21.69 c</td>
<td valign="middle" align="center">82.99 c</td>
<td valign="middle" align="center">79.05 a</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">99.77 b</td>
<td valign="middle" align="center">76.15 b</td>
<td valign="middle" align="center">31.25 b</td>
<td valign="middle" align="center">23.85 b</td>
<td valign="middle" align="center">131.02 b</td>
<td valign="middle" align="center">71.65 d</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">95.64 c</td>
<td valign="middle" align="center">74.38 bc</td>
<td valign="middle" align="center">32.94 b</td>
<td valign="middle" align="center">25.62 ab</td>
<td valign="middle" align="center">128.58 b</td>
<td valign="middle" align="center">72.43 c</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">108.71 a</td>
<td valign="middle" align="center">72.53 c</td>
<td valign="middle" align="center">41.17 a</td>
<td valign="middle" align="center">27.47 a</td>
<td valign="middle" align="center">149.89 a</td>
<td valign="middle" align="center">74.06 b</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">2022-2023</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">61.01 d</td>
<td valign="middle" align="center">76.36 a</td>
<td valign="middle" align="center">18.89 c</td>
<td valign="middle" align="center">23.64 c</td>
<td valign="middle" align="center">79.90 c</td>
<td valign="middle" align="center">80.09 a</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">93.05 b</td>
<td valign="middle" align="center">74.29 ab</td>
<td valign="middle" align="center">32.20 b</td>
<td valign="middle" align="center">25.71 bc</td>
<td valign="middle" align="center">125.25 b</td>
<td valign="middle" align="center">73.58 d</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">88.81 c</td>
<td valign="middle" align="center">72.37 bc</td>
<td valign="middle" align="center">33.91 b</td>
<td valign="middle" align="center">27.63 ab</td>
<td valign="middle" align="center">122.71 b</td>
<td valign="middle" align="center">75.08 c</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">101.29 a</td>
<td valign="middle" align="center">70.49 c</td>
<td valign="middle" align="center">42.41 a</td>
<td valign="middle" align="center">29.51 a</td>
<td valign="middle" align="center">143.70 a</td>
<td valign="middle" align="center">76.85 b</td>
</tr>
<tr>
<td valign="middle" rowspan="8" align="center">Luoning</td>
<td valign="middle" rowspan="4" align="center">2021-2022</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">68.52 d</td>
<td valign="middle" align="center">78.01 a</td>
<td valign="middle" align="center">19.31 c</td>
<td valign="middle" align="center">21.99 c</td>
<td valign="middle" align="center">87.83 c</td>
<td valign="middle" align="center">79.13 a</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">103.69 b</td>
<td valign="middle" align="center">75.35 ab</td>
<td valign="middle" align="center">33.92 b</td>
<td valign="middle" align="center">24.65 bc</td>
<td valign="middle" align="center">137.61 b</td>
<td valign="middle" align="center">72.34 d</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">98.96 c</td>
<td valign="middle" align="center">73.17 bc</td>
<td valign="middle" align="center">36.29 b</td>
<td valign="middle" align="center">26.83 ab</td>
<td valign="middle" align="center">135.25 b</td>
<td valign="middle" align="center">73.82 c</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">112.95 a</td>
<td valign="middle" align="center">71.09 c</td>
<td valign="middle" align="center">45.94 a</td>
<td valign="middle" align="center">28.91 a</td>
<td valign="middle" align="center">158.89 a</td>
<td valign="middle" align="center">75.14 b</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">2022-2023</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">62.78 c</td>
<td valign="middle" align="center">77.81 a</td>
<td valign="middle" align="center">17.90 c</td>
<td valign="middle" align="center">22.19 b</td>
<td valign="middle" align="center">80.68 c</td>
<td valign="middle" align="center">80.03 a</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">104.13 b</td>
<td valign="middle" align="center">74.10 ab</td>
<td valign="middle" align="center">36.40 b</td>
<td valign="middle" align="center">25.90 ab</td>
<td valign="middle" align="center">140.53 b</td>
<td valign="middle" align="center">71.76 d</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">99.86 b</td>
<td valign="middle" align="center">72.38 b</td>
<td valign="middle" align="center">38.11 b</td>
<td valign="middle" align="center">27.62 a</td>
<td valign="middle" align="center">137.96 b</td>
<td valign="middle" align="center">73.09 c</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">116.87 a</td>
<td valign="middle" align="center">70.64 c</td>
<td valign="middle" align="center">48.57 a</td>
<td valign="middle" align="center">29.36 a</td>
<td valign="middle" align="center">165.44 a</td>
<td valign="middle" align="center">76.12 b</td>
</tr>
<tr>
<td valign="middle" rowspan="7" colspan="2" align="center">Sources of variance<break/>(<italic>F</italic>-value)</td>
<td valign="middle" align="center">Site (S)</td>
<td valign="middle" align="center">4.96</td>
<td valign="middle" align="center">0.08</td>
<td valign="middle" align="center">301.80</td>
<td valign="middle" align="center">0.08</td>
<td valign="middle" align="center">9.54</td>
<td valign="middle" align="center">0.03</td>
</tr>
<tr>
<td valign="middle" align="center">Year (Y)</td>
<td valign="middle" align="center">26.73**</td>
<td valign="middle" align="center">13.30**</td>
<td valign="middle" align="center">3.92</td>
<td valign="middle" align="center">13.29**</td>
<td valign="middle" align="center">6.00*</td>
<td valign="middle" align="center">153.32*</td>
</tr>
<tr>
<td valign="middle" align="center">Treatment (T)</td>
<td valign="middle" align="center">947.43**</td>
<td valign="middle" align="center">2685.30**</td>
<td valign="middle" align="center">472.04**</td>
<td valign="middle" align="center">3167.58**</td>
<td valign="middle" align="center">735.01**</td>
<td valign="middle" align="center">146.43**</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;Y</td>
<td valign="middle" align="center">24.69**</td>
<td valign="middle" align="center">2.24</td>
<td valign="middle" align="center">0.09</td>
<td valign="middle" align="center">2.25</td>
<td valign="middle" align="center">16.03**</td>
<td valign="middle" align="center">116.37**</td>
</tr>
<tr>
<td valign="middle" align="center">Y&#xd7;T</td>
<td valign="middle" align="center">1.08</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">0.67</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">1.90</td>
<td valign="middle" align="center">8.32**</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;T</td>
<td valign="middle" align="center">1.18</td>
<td valign="middle" align="center">1.05</td>
<td valign="middle" align="center">6.02</td>
<td valign="middle" align="center">1.05</td>
<td valign="middle" align="center">2.06</td>
<td valign="middle" align="center">0.23</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;T&#xd7;Y</td>
<td valign="middle" align="center">5.11</td>
<td valign="middle" align="center">0.26</td>
<td valign="middle" align="center">0.56</td>
<td valign="middle" align="center">0.26</td>
<td valign="middle" align="center">5.07**</td>
<td valign="middle" align="center">14.28**</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ZN, FN, RN and OSN indicated zero N application, farmer N application, 20% reduction of N fertilizer based on FN and organic fertilizer substituting 20% of RN, respectively. Values within the same year and the same column followed by different lowercase letters indicate significant differences(P&lt;0.05) among treatments. * and ** indicate significant difference at P&lt;0.05 and P&lt;0.01, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Grain protein content and protein yield</title>
<p>
<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> reveals year (Y), treatment (T) extremely significantly affected protein content and protein yield in the both years and sites. Compared with ZN, the protein content under FN, RN and OSN significantly increased by 19.45%, 6.67% and 7.25%, as well as protein yield significantly increased by 71.01%, 50.03% and 76.61% averaged across years and sites, respectively. Compared with FN, RN and OSN significantly decreased the protein content by 11.71% and 10.18%, respectively, while RN significantly decreased protein yield by 12.23%, but OSN increased protein yield by 3.31% averaged across years and sites.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Effects of different treatments on grain protein content and protein yield of winter wheat in 2021-2023. ZN, FN, RN and OSN indicated zero N application, farmer N application, 20% reduction of N fertilizer based on FN and organic fertilizer substituting 20% N of RN, respectively. Different uppercase and lowercase letters indicate that significant difference at <italic>P</italic>&lt;0.05 among treatments, respectively for protein content and protein yield.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1379485-g003.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>N use efficiency and N apparent surplus</title>
<p>N use efficiency and N apparent surplus was significantly affected by year (Y), Site (S), treatment (T), and their interactions (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Compared with FN and RN, OSN increased N grain production efficiency except Luoning site in 2021-2022, and there were no significant differences between FN and RN. Compared with FN, RN and OSN increased N uptake efficiency, N agronomy efficiency, N recovery efficiency and N partial factor productivity, while RN and OSN decreased N apparent surplus. Compared with RN, OSN significantly increased N uptake efficiency, N agronomy efficiency, N recovery efficiency and N partial factor productivity by 15.22%, 59.47%, 35.93% and 17.12%, averaged across years and sites; and decreased N apparent surplus by 45.82% in Mengjin and 168.43% in Luoning across years. These results showed that OSN could increase winter wheat N use efficiency and decrease N apparent surplus in drought-prone area.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Effects of different treatments on N use efficiency and N apparent surplus of winter wheat in 2021-2023.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Site</th>
<th valign="middle" rowspan="2" align="center">Year</th>
<th valign="middle" rowspan="2" align="center">Treatment</th>
<th valign="middle" colspan="5" align="center">N use efficiency</th>
<th valign="middle" rowspan="2" align="center">N apparent surplus<break/>(kg ha<sup>-1</sup>)</th>
</tr>
<tr>
<th valign="middle" align="center">N grain production<break/>efficiency<break/>(kg kg<sup>-1</sup>)</th>
<th valign="middle" align="center">N uptake<break/>efficiency<break/>(kg kg<sup>-1</sup>)</th>
<th valign="middle" align="center">N agronomy<break/>efficiency (kg kg<sup>-1</sup>)</th>
<th valign="middle" align="center">N recovery<break/>efficiency (%)</th>
<th valign="middle" align="center">N partial factor<break/>productivity<break/>(kg kg<sup>-1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="8" align="center">Mengjin</td>
<td valign="middle" rowspan="4" align="center">2021-2022</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">36.43 a</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">29.84 c</td>
<td valign="middle" align="center">0.95 b</td>
<td valign="middle" align="center">8.49 b</td>
<td valign="middle" align="center">40.55 b</td>
<td valign="middle" align="center">28.38 c</td>
<td valign="middle" align="center">60.98 a</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">30.30 bc</td>
<td valign="middle" align="center">1.03 b</td>
<td valign="middle" align="center">9.03 b</td>
<td valign="middle" align="center">42.17 b</td>
<td valign="middle" align="center">31.24 b</td>
<td valign="middle" align="center">43.42 b</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">30.74 b</td>
<td valign="middle" align="center">1.18 a</td>
<td valign="middle" align="center">13.92 a</td>
<td valign="middle" align="center">56.61 a</td>
<td valign="middle" align="center">36.13 a</td>
<td valign="middle" align="center">22.11 c</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">2022-2023</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">36.47 a</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">30.40 c</td>
<td valign="middle" align="center">0.89 c</td>
<td valign="middle" align="center">7.99 b</td>
<td valign="middle" align="center">36.73 b</td>
<td valign="middle" align="center">26.93 c</td>
<td valign="middle" align="center">66.75 a</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">31.17 bc</td>
<td valign="middle" align="center">0.95 b</td>
<td valign="middle" align="center">8.45 b</td>
<td valign="middle" align="center">37.05 b</td>
<td valign="middle" align="center">29.58 b</td>
<td valign="middle" align="center">49.29 b</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">32.28 b</td>
<td valign="middle" align="center">1.09 a</td>
<td valign="middle" align="center">13.97 a</td>
<td valign="middle" align="center">50.71 a</td>
<td valign="middle" align="center">35.10 a</td>
<td valign="middle" align="center">28.30 c</td>
</tr>
<tr>
<td valign="middle" rowspan="8" align="center">Luoning</td>
<td valign="middle" rowspan="4" align="center">2021-2022</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">32.15 a</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">27.04 b</td>
<td valign="middle" align="center">1.11 c</td>
<td valign="middle" align="center">9.08 b</td>
<td valign="middle" align="center">46.07 b</td>
<td valign="middle" align="center">29.65 c</td>
<td valign="middle" align="center">27.72 a</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">27.79 b</td>
<td valign="middle" align="center">1.21 b</td>
<td valign="middle" align="center">9.98 b</td>
<td valign="middle" align="center">47.51 b</td>
<td valign="middle" align="center">33.27 b</td>
<td valign="middle" align="center">16.75 a</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">27.66 b</td>
<td valign="middle" align="center">1.39 a</td>
<td valign="middle" align="center">14.89 a</td>
<td valign="middle" align="center">66.06 a</td>
<td valign="middle" align="center">38.17 a</td>
<td valign="middle" align="center">-6.89 b</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">2022-2023</td>
<td valign="middle" align="center">ZN</td>
<td valign="middle" align="center">34.44 a</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="center">FN</td>
<td valign="middle" align="center">25.46 c</td>
<td valign="middle" align="center">1.14 c</td>
<td valign="middle" align="center">8.80 b</td>
<td valign="middle" align="center">55.21 b</td>
<td valign="middle" align="center">28.98 c</td>
<td valign="middle" align="center">24.80 a</td>
</tr>
<tr>
<td valign="middle" align="center">RN</td>
<td valign="middle" align="center">25.56 c</td>
<td valign="middle" align="center">1.24 b</td>
<td valign="middle" align="center">9.98 b</td>
<td valign="middle" align="center">57.86 b</td>
<td valign="middle" align="center">31.74 b</td>
<td valign="middle" align="center">14.04 a</td>
</tr>
<tr>
<td valign="middle" align="center">OSN</td>
<td valign="middle" align="center">26.51 b</td>
<td valign="middle" align="center">1.43 a</td>
<td valign="middle" align="center">15.06 a</td>
<td valign="middle" align="center">76.64 a</td>
<td valign="middle" align="center">37.90 a</td>
<td valign="middle" align="center">-13.44 b</td>
</tr>
<tr>
<td valign="middle" rowspan="7" colspan="2" align="center">Sources of variance<break/>(<italic>F</italic>-value)</td>
<td valign="middle" align="center">Site (S)</td>
<td valign="middle" align="center">31.41</td>
<td valign="middle" align="center">17.61</td>
<td valign="middle" align="center">746.89*</td>
<td valign="middle" align="center">3.63</td>
<td valign="middle" align="center">55.25</td>
<td valign="middle" align="center">47.97</td>
</tr>
<tr>
<td valign="middle" align="center">Year (Y)</td>
<td valign="middle" align="center">150</td>
<td valign="middle" align="center">21.41**</td>
<td valign="middle" align="center">2.14</td>
<td valign="middle" align="center">56.73**</td>
<td valign="middle" align="center">17.34**</td>
<td valign="middle" align="center">0.33</td>
</tr>
<tr>
<td valign="middle" align="center">Treatment (T)</td>
<td valign="middle" align="center">54.28*</td>
<td valign="middle" align="center">3415.77**</td>
<td valign="middle" align="center">189.63**</td>
<td valign="middle" align="center">12822.38**</td>
<td valign="middle" align="center">318.87**</td>
<td valign="middle" align="center">1513.30**</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;Y</td>
<td valign="middle" align="center">24.46**</td>
<td valign="middle" align="center">171.91**</td>
<td valign="middle" align="center">0.01</td>
<td valign="middle" align="center">493.44**</td>
<td valign="middle" align="center">1.10</td>
<td valign="middle" align="center">9.34 **</td>
</tr>
<tr>
<td valign="middle" align="center">Y&#xd7;T</td>
<td valign="middle" align="center">9.21**</td>
<td valign="middle" align="center">0.34</td>
<td valign="middle" align="center">1.20</td>
<td valign="middle" align="center">0.09</td>
<td valign="middle" align="center">1.07</td>
<td valign="middle" align="center">0.12</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;T</td>
<td valign="middle" align="center">0.19</td>
<td valign="middle" align="center">22.58*</td>
<td valign="middle" align="center">1.01</td>
<td valign="middle" align="center">11.15</td>
<td valign="middle" align="center">4.27</td>
<td valign="middle" align="center">8.14</td>
</tr>
<tr>
<td valign="middle" align="center">S&#xd7;T&#xd7;Y</td>
<td valign="middle" align="center">20.06***</td>
<td valign="middle" align="center">1.04</td>
<td valign="middle" align="center">0.20</td>
<td valign="middle" align="center">2.39</td>
<td valign="middle" align="center">0.16</td>
<td valign="middle" align="center">0.18</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ZN, FN, RN and OSN indicated zero N application, farmer N application, 20% reduction of N fertilizer based on FN and organic fertilizer substituting 20% N of RN, respectively. Lowercase letters within the same year and the same column followed by different indicate significant differences (P&lt;0.05) among treatments. * and ** indicate significant difference at P&lt;0.05 and P&lt;0.01, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Soil fertility</title>
<p>Soil fertility was significantly affected by the 4-year located fertilization in both sites (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Compared with the initial value, ZN significantly decreased the organic matter and total N but increased pH in both 0-20 cm and 20-40 cm soil layers. The overall trend of organic matter, total N, available P and available K among treatments was ZN&lt;RN&lt;FN&lt;OSN in both soil layers. Compared with FN, RN decreased the contents of organic matter, total N, available P, available K by 6.93%, 4.95%, 4.71% and 4.65%, respectively, in 0-20 cm soil layer, and by 4.69%, 11.08%, 15.02% and 11.21% in 20-40 cm soil layer, averaged across sites. However, OSN increased the contents of organic matter, total N, available P and available K in 0-20 cm soil layer by 17.30%, 12.95%, 9.92% and 7.82% and in 20-40 cm soil layer by 12.17%, 25.82%, 21.85% and 23.03% compared with RN. While compared with RN, OSN decreased pH in 0-20 cm and in 20-40 cm soil layer.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Effects of different treatments on content of organic matter, total N, available P, available K and pH in 0-20 cm and 20-40 cm soil layers at maturity of winter wheat in 2022-2023. ZN, FN, RN and OSN indicated zero N application, farmer N application, 20% reduction of N fertilizer based on FN and organic fertilizer substituting 20% N of RN, respectively. Different lowercase and uppercase letters indicate that significant difference (<italic>P</italic>&lt;0.05) among treatments in 0-20 cm and 20-40 cm soil layer, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1379485-g004.tif"/>
</fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Nitrate-N residue</title>
<p>As shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, the nitrate-N residue in 0-100 cm soil depth were 23.57 kg ha<sup>-1</sup>, 84.69 kg ha<sup>-1</sup>, 61.62 kg ha<sup>-1</sup> and 55.77 kg ha<sup>-1</sup> in Mengjin and 20.47 kg ha<sup>-1</sup>, 78.68 kg ha<sup>-1</sup>, 57.09 kg ha<sup>-1</sup> and 52.73 kg ha<sup>-1</sup> in Luoning under ZN, OSN, RN and FN, respectively. The ZN showed the lowest nitrate-N residue while FN showed the highest value in each soil layer. Except for 0-20 cm soil layer of both sites and in 60-80 cm soil layer in Mengjin, the nitrate-N residue in 0-100 soil layer of OSN was lower than that of RN, with the average decrease of 20.37% in Mengjin and 12.78% in Luoning across soil layers, indicating that OSN had a beneficial effect on reducing nitrate-N residue.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Effects of different treatments on nitrate-N residue in 0-100 cm soil layer at maturity of wheat in 2022-2023 at maturity. ZN, FN, RN and OSN indicated zero N application, farmer N application, 20% reduction of N fertilizer based on FN and organic fertilizer substituting 20% N of RN, respectively. ** indicate that significant differences at <italic>P</italic>&lt;0.01 among treatments within the same soil layer.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1379485-g005.tif"/>
</fig>
</sec>
<sec id="s3_8">
<label>3.8</label>
<title>Comprehensive evaluation</title>
<p>Principal component analysis was used to evaluate the comprehensive effects of different treatments (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). The results showed that the N fertilization effects could be explained by the two principal components, with the cumulative contribution rate of 96.82% (Mengjin) and 96.03% (Luoning). The first principal component mainly included grain yield and its components, N translocation and accumulation amount, N accumulation amount in grain, protein content, soil fertility and nitrate-N residue in 0-100 cm soil layer. The second principal component mainly included N harvest index, protein yield and pH in 20-40 cm soil layer. Based on the evaluation formula (y=0.8785C<sub>1</sub>+0.0884C<sub>2</sub>, Mengjin; y=0.8619C<sub>1</sub>+0.0871C<sub>2</sub>, Luoning), the comprehensive score of each treatment could be calculated (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). The comprehensive score ranked as OSN&gt;FN&gt;RN&gt;ZN, meaning OSN had a good comprehensive effect on wheat production, soil fertility and soil nitrate-N residue.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Score coefficient and contribution rate of principal component.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Indexes</th>
<th valign="middle" colspan="2" align="center">Mengjin</th>
<th valign="middle" colspan="2" align="center">Luoning</th>
</tr>
<tr>
<th valign="middle" align="center">Component 1 (C<sub>1</sub>)</th>
<th valign="middle" align="center">Component 2 (C<sub>2</sub>)</th>
<th valign="middle" align="center">Component 1 (C<sub>1</sub>)</th>
<th valign="middle" align="center">Component 2 (C<sub>2</sub>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Grain yield</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">-0.074</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.048</td>
</tr>
<tr>
<td valign="middle" align="center">Spike number</td>
<td valign="middle" align="center">0.041</td>
<td valign="middle" align="center">-0.119</td>
<td valign="middle" align="center">0.041</td>
<td valign="middle" align="center">0.136</td>
</tr>
<tr>
<td valign="middle" align="center">Grain number per spike</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.042</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.013</td>
</tr>
<tr>
<td valign="middle" align="center">1000-grain weight</td>
<td valign="middle" align="center">0.042</td>
<td valign="middle" align="center">-0.028</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.035</td>
</tr>
<tr>
<td valign="middle" align="center">N accumulation of anthesis</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.030</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">-0.055</td>
</tr>
<tr>
<td valign="middle" align="center">N accumulation of maturity</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.004</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.021</td>
</tr>
<tr>
<td valign="middle" align="center">Pre-anthesis N translocation amount</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.009</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.002</td>
</tr>
<tr>
<td valign="middle" align="center">Contribution rate of pre-anthesis N translocation amount</td>
<td valign="middle" align="center">-0.038</td>
<td valign="middle" align="center">0.203</td>
<td valign="middle" align="center">-0.039</td>
<td valign="middle" align="center">-0.113</td>
</tr>
<tr>
<td valign="middle" align="center">Post-anthesis N accumulation amount</td>
<td valign="middle" align="center">0.042</td>
<td valign="middle" align="center">-0.116</td>
<td valign="middle" align="center">0.042</td>
<td valign="middle" align="center">0.083</td>
</tr>
<tr>
<td valign="middle" align="center">Contribution rate of post-anthesis N accumulation amount</td>
<td valign="middle" align="center">0.038</td>
<td valign="middle" align="center">-0.203</td>
<td valign="middle" align="center">0.039</td>
<td valign="middle" align="center">0.113</td>
</tr>
<tr>
<td valign="middle" align="center">N accumulation amount in grain</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">-0.046</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.028</td>
</tr>
<tr>
<td valign="middle" align="center">N harvest index</td>
<td valign="middle" align="center">-0.035</td>
<td valign="middle" align="center">-0.238</td>
<td valign="middle" align="center">-0.032</td>
<td valign="middle" align="center">0.303</td>
</tr>
<tr>
<td valign="middle" align="center">Protein yield</td>
<td valign="middle" align="center">0.029</td>
<td valign="middle" align="center">0.319</td>
<td valign="middle" align="center">0.028</td>
<td valign="middle" align="center">-0.295</td>
</tr>
<tr>
<td valign="middle" align="center">Protein content</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.051</td>
</tr>
<tr>
<td valign="middle" align="center">N grain production efficiency</td>
<td valign="middle" align="center">-0.039</td>
<td valign="middle" align="center">-0.162</td>
<td valign="middle" align="center">-0.040</td>
<td valign="middle" align="center">0.166</td>
</tr>
<tr>
<td valign="middle" align="center">Organic matter in 0-20 cm soil layer</td>
<td valign="middle" align="center">0.041</td>
<td valign="middle" align="center">-0.146</td>
<td valign="middle" align="center">0.038</td>
<td valign="middle" align="center">0.125</td>
</tr>
<tr>
<td valign="middle" align="center">Organic matter in 20-40 cm soil layer</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">-0.055</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">0.055</td>
</tr>
<tr>
<td valign="middle" align="center">Total N in 0-20 cm soil layer</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.061</td>
<td valign="middle" align="center">0.042</td>
<td valign="middle" align="center">0.119</td>
</tr>
<tr>
<td valign="middle" align="center">Total N in 20-40 cm soil layer</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.036</td>
<td valign="middle" align="center">0.039</td>
<td valign="middle" align="center">0.163</td>
</tr>
<tr>
<td valign="middle" align="center">Available P in 0-20 cm soil layer</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.025</td>
<td valign="middle" align="center">0.042</td>
<td valign="middle" align="center">0.124</td>
</tr>
<tr>
<td valign="middle" align="center">Available P in 20-40 cm soil layer</td>
<td valign="middle" align="center">0.037</td>
<td valign="middle" align="center">0.047</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">-0.064</td>
</tr>
<tr>
<td valign="middle" align="center">Available K in 0-20 cm soil layer</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">0.064</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">-0.081</td>
</tr>
<tr>
<td valign="middle" align="center">Available K in 20-40 cm soil layer</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.002</td>
<td valign="middle" align="center">0.044</td>
<td valign="middle" align="center">-0.017</td>
</tr>
<tr>
<td valign="middle" align="center">Nitrate-N residue in 0-100 cm soil layer</td>
<td valign="middle" align="center">-0.044</td>
<td valign="middle" align="center">0.030</td>
<td valign="middle" align="center">-0.041</td>
<td valign="middle" align="center">-0.150</td>
</tr>
<tr>
<td valign="middle" align="center">pH in 0-20 cm soil layer</td>
<td valign="middle" align="center">-0.040</td>
<td valign="middle" align="center">0.155</td>
<td valign="middle" align="center">-0.044</td>
<td valign="middle" align="center">0.049</td>
</tr>
<tr>
<td valign="middle" align="center">pH in 20-40 cm soil layer</td>
<td valign="middle" align="center">0.034</td>
<td valign="middle" align="center">0.272</td>
<td valign="middle" align="center">0.035</td>
<td valign="middle" align="center">-0.272</td>
</tr>
<tr>
<td valign="middle" align="center">Eigenvalue</td>
<td valign="middle" align="center">22.918</td>
<td valign="middle" align="center">2.256</td>
<td valign="middle" align="center">22.760</td>
<td valign="middle" align="center">2.209</td>
</tr>
<tr>
<td valign="middle" align="center">Contribution rate (%)</td>
<td valign="middle" align="center">88.146</td>
<td valign="middle" align="center">8.677</td>
<td valign="middle" align="center">87.538</td>
<td valign="middle" align="center">8.496</td>
</tr>
<tr>
<td valign="middle" align="center">Cumulative contribution rate (%)</td>
<td valign="middle" align="center">88.146</td>
<td valign="middle" align="center">96.823</td>
<td valign="middle" align="center">87.538</td>
<td valign="middle" align="center">96.034</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Comprehensive score of different fertilization treatment. ZN, FN, RN and OSN indicated no N application, farmer N application, 20% reduction of N fertilizer based on FN and organic fertilizer substituting 20% N of RN, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1379485-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Effects of organic fertilizer substitution on wheat grain yield, protein content and protein yield</title>
<p>Substituting chemical fertilizers with organic alternatives is a crucial strategy for enhancing crop yields. However, the effectiveness of this approach varies according to the rates of substitution (<xref ref-type="bibr" rid="B46">Shen et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B13">He et&#xa0;al., 2022</xref>). A meta-analysis revealed that replacing up to 30% of chemical fertilizers with organic ones can lead to an increase in wheat yields. Nevertheless, when the substitution rate surpasses 30%, the beneficial effects on wheat yield become observable only after a decade or more (<xref ref-type="bibr" rid="B25">Li et&#xa0;al., 2021</xref>). The present 4-year and 2-site experiment found that the organic fertilizer substituted 20% of chemical N fertilizer (OSN) could optimized winter wheat yield components and improved grain yield. This was consistent with previous the studies in winter wheat-summer maize cropping system (<xref ref-type="bibr" rid="B46">Shen et&#xa0;al., 2020</xref>) and wheat-fallow fallow cropping system (<xref ref-type="bibr" rid="B13">He et&#xa0;al., 2022</xref>), which showed that the substitution of 20% chemical N fertilizer with organic fertilizer could improve wheat yield. These findings suggest that the substitution with organic fertilizers not only accelerates the release of nutrients from chemical fertilizers (<xref ref-type="bibr" rid="B21">Li et al., 2023</xref>) but also leverages the slow-release properties of organic fertilizer nutrients. This dual action enhances nutrient absorption and utilization by wheat throughout its entire growth stage (<xref ref-type="bibr" rid="B59">Yang et&#xa0;al., 2020</xref>), ultimately leading to higher yields. Moreover, compared to the FN application, the RN application achieved a relatively stable yield despite a 20% reduction in N. This outcome indicates that current N application rates by farmers could be decreased by at least 20% without compromising yields. The present study also found that, compared with FN and RN, OSN significantly increased spike number and grain number per spike; however, it did not affect the 1000-grain weight. These results demonstrated that OSN increased yield by greatly improving spike number and grain number per spike. The main reason may be the organic fertilizer induces the relatively sufficient nutrients and optimal water supply, boosts the growth development and spike differentiation, and finally improves the spike number and grain number per spike (<xref ref-type="bibr" rid="B71">Zhang et al., 2020</xref>).</p>
<p>Protein is an important index to evaluate wheat grain quality. The present study found that, compared with FN, the grain protein content under RN and OSN significantly decreased, which was consistent with the results of <xref ref-type="bibr" rid="B12">Han et&#xa0;al. (2022)</xref>. These results showed that reduced N fertilizer (20%) had a negative impact on wheat quality in drought-prone area. The reason may be because the amount of N requirement for high-protein was higher than that of high-yield (<xref ref-type="bibr" rid="B11">Ghimire et&#xa0;al., 2021</xref>). Conversely, these results indicated that the current N application rate of farmers is reasonable for high-quality production, which was mainly due to the recommended fertilization guidance in China in the past 20 years (<xref ref-type="bibr" rid="B58">Xu et&#xa0;al., 2021</xref>). Besides, compared with RN, OSN did not increase the protein content while significantly increased grain yield, meaning that the improvement of OSN on grain yield was prior to that on protein content (<xref ref-type="bibr" rid="B21">Li et al., 2023</xref>). Conversely, some studies have found that organic fertilizer substitution increased protein content (<xref ref-type="bibr" rid="B57">Xia et&#xa0;al., 2017</xref>). The variability of the effeteness among studies might be related to organic fertilizer type and substitution ratio. Additionally, the significant increase in grain yield helped to reach the highest protein yield under OSN, which indicated that it is feasible for OSN to realize a high protein yield based on the higher yield.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Effects of organic fertilizer substitution on plant N accumulation, translocation, and distribution</title>
<p>Wheat yield and grain protein content are regulated not only by the pre-anthesis stored-N translocation in vegetative organs, but also by post-anthesis N absorption, accumulation, and translocation (<xref ref-type="bibr" rid="B16">Jones et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B77">Zhou et al., 2016</xref>). In this study, the OSN notably enhanced N accumulation at both anthesis and maturity stages compared to the FN and RN treatments. These results could be related to the ability of OSN to improve precipitation storage effectiveness, mitigate soil water depletion (<xref ref-type="bibr" rid="B71">Zhang et al., 2020</xref>), and stimulate plant growth and nutrient content (<xref ref-type="bibr" rid="B49">Thomas et&#xa0;al., 2019</xref>). Consequently, this led to the highest N accumulation in the aboveground parts and grains, as shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. These results are in line with other studies reporting positive effects of organic fertilizer substitution on cereal crops (<xref ref-type="bibr" rid="B43">Saikia et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B33">Lv et&#xa0;al., 2023</xref>). This could be attributed to OSN offering a better synchronization between N supply and demand, while also contributing to an increase in the size of the grain sink. (<xref ref-type="bibr" rid="B39">Pei et&#xa0;al., 2020</xref>). Besides, the source-traits such as aboveground dry matter accumulation, leaf photosynthesis also responded to organic fertilizer substitution (<xref ref-type="bibr" rid="B43">Saikia et&#xa0;al., 2015</xref>). In addition, ONS delayed leaf senescence, extended duration of source activity, thus increased the contribution rate of post-anthesis dry matter and N accumulation to grain (<xref ref-type="bibr" rid="B38">Pan et&#xa0;al., 2022</xref>). This is maybe explained why OSN improved the characteristics of N accumulation and translocation, and increased N harvest index, finally achieving synergistic improvement of grain yield and protein yield.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Effects of organic fertilizer substitution on N use efficiency and N apparent surplus</title>
<p>N use efficiency is an important index to measure the rationality of fertilization measures (<xref ref-type="bibr" rid="B46">Shen et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B62">Yin et&#xa0;al., 2021</xref>). In this study, compared with FN and RN, OSN increased N uptake efficiency, N agronomy efficiency, N recovery efficiency and N partial factor productivity increased averaged across years and sites, which was consistence with the results of <xref ref-type="bibr" rid="B13">He et&#xa0;al. (2022)</xref> and <xref ref-type="bibr" rid="B33">Lv et&#xa0;al. (2023)</xref>. These findings could be attributed to several factors: (1) OSN addressed the soil nutrient imbalance caused by the prolonged excessive use of chemical fertilizers (<xref ref-type="bibr" rid="B60">Yang et&#xa0;al., 2018</xref>); (2) OSN enhanced soil microbial activity and bettered the micro-ecological environment by elevating the soil&#x2019;s carbon-to-nitrogen ratio (<xref ref-type="bibr" rid="B26">Liu et&#xa0;al., 2022</xref>); (3) The consistent nutrient release from organic fertilizers ensured a steady nutrient availability throughout the growing season (<xref ref-type="bibr" rid="B28">Liu et al., 2021</xref>). OSN obtained a reasonable N grain production efficiency, N agronomy efficiency and N partial factor productivity, with the average of 29.30 kg kg<sup>-1</sup>, 14.46 kg kg<sup>-1</sup> and 36.83 kg kg<sup>-1</sup>, respectively, these indexes fall into the reasonable range of above indexes for 30-60 kg kg<sup>-1</sup>, 10-30 kg kg<sup>-1</sup> and 40-70 kg kg<sup>-1</sup>, respectively, according to <xref ref-type="bibr" rid="B9">Dobermann (2005)</xref> documented. However, the N recovery efficiency in this study was 62.51%, obviously higher than 30-50% reported by <xref ref-type="bibr" rid="B9">Dobermann (2005)</xref>. This was maybe ascribed the accumulative effect of long-term zero N application under ZN, leaded to lower N accumulation and higher N recovery efficiency.</p>
<p>N apparent surplus is often employed to reflect the N input-output balance of a field, farm or for a specific region (<xref ref-type="bibr" rid="B21">Li et al., 2023</xref>; <xref ref-type="bibr" rid="B44">Sapkota and Takele, 2023</xref>). <xref ref-type="bibr" rid="B20">Li et al. (2020)</xref> reported that the reasonable threshold of N apparent surplus in farmland was 40 kg ha<sup>-1</sup>. In the present study, N apparent surplus under FN and RN were 63.87 kg ha<sup>-1</sup> and 46.36 kg ha<sup>-1</sup> in Menjin across years. This indicated that reduced 20% N based on the local farmer practice (FN) still lead to a little higher N apparent surplus in Mengjin. While in Luoning, the N apparent surplus of FN and RN were 26.26 kg ha<sup>-1</sup> and 25.40 kg ha<sup>-1</sup> across years, which were below the threshold value at 40 kg ha<sup>-1</sup>. Compared with RN, OSN decreased the N apparent surplus remarkably, under which the average N apparent surplus was 25.21 kg ha<sup>-1</sup> in Mengjin and -10.17 kg ha<sup>-1</sup> in Luoning, both of that were lower than the reasonable threshold of 40 kg ha<sup>-1</sup> reported by <xref ref-type="bibr" rid="B23">Li et al. (2020)</xref>. These may be due to the OSN induced improvement of soil properties and soil water-holding capability (<xref ref-type="bibr" rid="B60">Yang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Liu et al., 2021</xref>), leading to a remarkable increase of wheat growth and shoot N uptake, and finally resulting in an over-consumption of soil N (<xref ref-type="bibr" rid="B64">Yue et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B17">Ju and Zhang, 2021</xref>). Additionally, this study also found that due to the lower N input and slightly higher grain N output in Luoning, resulting in N apparent surplus was lower than that in Mengjin. Particularly, the N apparent surplus under OSN in Luoning was negative value. Therefore, the over-low N apparent surplus should be pay attention when the OSN technique employed in rain-fed, drought-prone areas.</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Effects of organic fertilizer substitution on soil fertility and nitrate-N residue</title>
<p>Evaluation of soil fertility is of great significance to improve farmland quality (<xref ref-type="bibr" rid="B24">Li et&#xa0;al., 2024</xref>). In this study, owing to four-year no N application, ZN significantly decreased organic matter, total N, available P and available K except for available P and available K in 0-20 cm soil layer. Also, compared with FN, except for available P and available K in 0-20 cm and available K in Mengjin, the content of organic matter, total N, available P and available K in both 0-20 cm and 20-40 cm soil layer under RN were significantly decreased. These results indicated that ZN and RN went against the maintenance and/or improvement of soil fertility. Favorably, compared with FN, OSN could not only increase the content of organic matter, but also maintained or increased the content of total N, available P and available K in 0-20 cm and 20-40 soil layer. Additionally, available P and available K under ZN showed no significant decrease in 0-20 cm soil layer compared with initial value. This may be because the straw was fully returned to the field, which improved soil phosphorus availability and led to a great number of free potassium ions in straw entered the soil (<xref ref-type="bibr" rid="B68">Zhang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B67">Zhang et&#xa0;al., 2023</xref>). Besides, compared with RN, OSN decreased pH in both 0-20 cm and 20-40 cm soil layer. In organic fertilizer, organic acids containing phenolic hydroxyl and carboxyl groups could butter soil acidity (<xref ref-type="bibr" rid="B10">Garc&#x131;&#xed;a-Gil et&#xa0;al., 2004</xref>) and decrease soil pH (<xref ref-type="bibr" rid="B71">Zhang et al., 2020</xref>), which created a favorable condition for root growth and increased yield (<xref ref-type="bibr" rid="B46">Shen et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B73">Zhao et&#xa0;al., 2023</xref>).</p>
<p>Nitrate-N residues present in the soil were susceptible to leaching, denitrification and emission if the level exceeds the safe threshold (<xref ref-type="bibr" rid="B54">Wen et&#xa0;al., 2016</xref>). Thus, soil nitrate-N residue in 0-100 cm soil layer is usually used to evaluate the sustainability of nutrient management practice (<xref ref-type="bibr" rid="B59">Yang et&#xa0;al., 2020</xref>). In this study, the nitrate-N residue under RN in the 0-100 cm soil layer reduced by 22.34 kg ha<sup>-1</sup> averaged across the sites when compared with FN, indicating that nitrate-N residues could be decreased to a reasonable level by reducing the N rate. Similar results also reported in northern India (<xref ref-type="bibr" rid="B18">Lenka et&#xa0;al., 2013</xref>), where the nitrate-N residue in 0-120 cm soil layer could decrease by 62 kg ha<sup>-1</sup> when the N application rate was reduced from 180 kg ha<sup>-1</sup> to 120 kg ha<sup>-1</sup>. Besides, the nitrate-N residue of OSN in the 0-100 cm soil layer was reduced by 5.11 kg ha<sup>-1</sup> (8.61%) averaged cross the sites compared with RN, this was in line with the results of <xref ref-type="bibr" rid="B71">Zhang et al. (2020)</xref>. The significant improvement of soil physical and chemical properties and microbial activity, which led to effectively utilized soil nitrate-N by crop, maybe explained why less nitrate-N residue was left under OSN (<xref ref-type="bibr" rid="B71">Zhang et al., 2020</xref>). In addition, in this study, RN and OSN showed the suitable nitrate-N residues, which were 59.36 kg ha<sup>-1</sup> and 54.25 kg ha<sup>-1</sup> across sites, respectively. This residue was around the safe threshold of 50 kg ha<sup>-1</sup> reported by <xref ref-type="bibr" rid="B75">Zhou and Butterbach-Bahl (2014)</xref> and 55 kg ha<sup>-1</sup> demonstrated by <xref ref-type="bibr" rid="B14">Huang et&#xa0;al. (2017)</xref>, indicating that RN and OSN can achieve the aim of controlling soil nitrate-N residues in dryland areas.</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Solutions to enhance the application of organic fertilizer substitution for wheat production in drought-prone areas</title>
<p>In China, agricultural land is dominated by 200-300 million smallholders (<xref ref-type="bibr" rid="B62">Yin et&#xa0;al., 2021</xref>), and around 1/3 of wheat production emanates from China&#x2019;s rain-fed drought-prone areas (<xref ref-type="bibr" rid="B55">Wu et&#xa0;al., 2023b</xref>). However, only a small number of farmlands have been applied organic fertilizer in these areas, so it is necessary to optimize the policy measures to enhance organic fertilizer substitution in wheat production (<xref ref-type="bibr" rid="B6">Case et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B25">Li et&#xa0;al., 2021</xref>). If subsidies are provided according to organic fertilizer application rather than the wheat planting area, it will improve the enthusiasm of smallholders to apply this suitable fertilizer management practice (<xref ref-type="bibr" rid="B20">Li et al., 2020</xref>). Furthermore, enhancing experiments, demonstrations, and training on the substitution of chemical fertilizers with organic alternatives in major wheat-producing regions will also support farmers in adopting this technique. This represents a crucial aspect of our continued efforts in the coming years.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The results of the present 4-year and 2-site experiment showed that compared with FN and RN, OSN increased grain yield by 17.12% and 15.03%, grain protein yield by 3.31% and 17.15%, grain N accumulation by 17.78% and 15.58%, N harvest index by 2.63% and 4.45% averaged across years and sites, respectively. Besides, OSN significantly increased N use efficiency, as well as soil fertility in both 0-20 cm and 20-40 cm soil layer, while decreased nitrate-N residue in 0-100 cm soil layer by 33.59% and 8.61%, and decreased N apparent surplus by 34.48% and 100.09% compared with FN and RN, respectively. In conclusion, our study revealed that OSN increased grain yield, protein yield and N use efficiency via optimizing wheat N characteristics and soil fertility, and reduced nitrate-N residue and N apparent surplus, thus OSN could be adopted as the suitable fertilization practice to improve grain yield and quality and maintain sustainable agricultural production in rain-fed drought-prone areas.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<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 id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JZ: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization, Data curation, Formal analysis. SL: Data curation, Formal analysis, Writing &#x2013; original draft. PJ: Investigation, Writing &#x2013; original draft, Validation. RW: Writing &#x2013; original draft, Investigation, Validation. JG: Writing &#x2013; original draft, Investigation, Validation. HX: Validation, Investigation, Writing &#x2013; original draft. JW: Project administration, Resources, Writing &#x2013; review &amp; editing. YL: Writing &#x2013; review &amp; editing, Funding acquisition, Project administration, Supervision. MS: Writing &#x2013; review &amp; editing, Validation. MH: Funding acquisition, Project administration, Supervision, Writing &#x2013; review &amp; editing, Resources.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was financially supported by National Key Research and Development Program of China (under Grant No. 2022YFD2300800), the Science and Technology Research Project of Henan, China (under Grant No. 222102110087; 232102111009).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<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>
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