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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">772972</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2022.772972</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of Nutrient Management on Wheat/Vegetable Yields and the Fate of <sup>15</sup>N-Labeled Fertilizer in the Yangtze River Basin</article-title>
<alt-title alt-title-type="left-running-head">Wang et al.</alt-title>
<alt-title alt-title-type="right-running-head">N Fate of Yangtze-River Basin</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Sen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1470503/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Lin Sheng</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liao</surname>
<given-names>Shi Peng</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Bo</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Xiao Jun</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lu</surname>
<given-names>Jian Wei</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Shi Wei</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/56229/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shen</surname>
<given-names>Jian Bo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/36754/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Fu Suo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Goulding</surname>
<given-names>Keith</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Xue Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/498435/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>College of Resources and Environmental Sciences</institution>, <institution>China Agricultural University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Huaneng Renewables Corporation Limited</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>College of Resources and Environment</institution>, <institution>Southwest University</institution>, <addr-line>Chongqing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Plant Nutrition</institution>, <institution>College of Resources and Environmental Sciences</institution>, <institution>Huazhong Agricultural University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>College of Resources and Environmental Sciences</institution>, <institution>Nanjing Agricultural University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>The Sustainable Soils and Grassland Systems Department</institution>, <institution>Rothamsted Research</institution>, <addr-line>Harpenden</addr-line>, <country>United Kingdom</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1132072/overview">Silvana Munzi</ext-link>, University of Lisbon, Portugal</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/126005/overview">Fumiaki Takakai</ext-link>, Akita Prefectural University, Japan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/939701/overview">Maria Am&#xe9;lia Martins-Lou&#xe7;&#xe3;o</ext-link>, University of Lisbon, Portugal</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xue Jun Liu, <email>liu310@cau.edu.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Soil Processes, a section of the journal Frontiers in Environmental Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>772972</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Wang, Yang, Liao, Sun, Shi, Lu, Guo, Shen, Zhang, Goulding and Liu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wang, Yang, Liao, Sun, Shi, Lu, Guo, Shen, Zhang, Goulding and Liu</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>The Yangtze River Basin (YRB) crosses three economic zones and major agricultural regions of eastern, central, and western China. Increasing non-point source pollution, caused by excessive nitrogen (N) inputs to farms, is one of the main causes of water contamination in the YRB. To improve N fertilizer use efficiency, we conducted a field experiment using <sup>15</sup>N-labeled urea at three sites located in upstream, midstream, and downstream regions of the YRB to evaluate the impacts of improved fertilizer management on crop yield, fertilizer N recovery, and losses in three crop rotations: rice&#x2013;wheat (RW), rice&#x2013;vegetable (RV) [tuber mustard at Jiangjin (Chongqing), cabbage at Shayang (Hubei), and savoy cabbage at Rugao (Jiangsu)] and maize&#x2013;wheat (MW). Applying only 50% of the traditional application of N and P fertilizer maintained the wheat yield at Jiangjin and Shayang and savoy cabbage yield at Rugao. However, it caused a 27% reduction of the wheat yield at Rugao. The <sup>15</sup>N recovery showed that 27% of the fertilizer N was retained in the soil and that 25% less fertilizer N was lost to the environment compared to the traditional fertilizer application. Improved fertilizer management would reduce the environmental cost of farming in the YRB, but with some consequences to winter crop yields.</p>
</abstract>
<kwd-group>
<kwd>wheat/vegetable</kwd>
<kwd>
<sup>15</sup>N-labeled</kwd>
<kwd>yield</kwd>
<kwd>nitrogen fate</kwd>
<kwd>Yangtze River Basin</kwd>
</kwd-group>
<contract-num rid="cn001">41425007</contract-num>
<contract-num rid="cn002">X. J. Liu</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Ten Thousand Talent Program<named-content content-type="fundref-id">10.13039/501100018538</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The Yangtze River Basin (YRB) accounts for about one-fifth of the total land area of China, but its output of wheat (<italic>Triticum aestivum</italic> L.) and vegetables comprised 62% and 71%, respectively, of China&#x2019;s production in 2020 (<xref ref-type="bibr" rid="B42">National Bureau of Statistics of China, 2021</xref>; <xref ref-type="bibr" rid="B40">Ministry of Agriculture of the People&#x2019;s Republic of China, 2021</xref>). These high yields are due to the suitable weather, the fertile soil, and the typically-used double cropping systems such as rice&#x2013;wheat, rice&#x2013;vegetables, and maize&#x2013;wheat (<xref ref-type="bibr" rid="B47">Timsina and Connor, 2001</xref>; <xref ref-type="bibr" rid="B29">Liu et al., 2005</xref>). From 2011 to 2020, the annual wheat grain production in China increased by 13%, from 118.57 to 134.25 million tons; the average wheat grain yield per unit area increased by 18%, from 4.89 to 5.74&#xa0;t ha<sup>&#x2212;1</sup>; the annual vegetable production increased by 25%, from 597.67 to 749.12 million tons; and the average vegetable yield per unit area increased by 15%, from 30.43 to 34.87&#xa0;t ha<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B40">Ministry of Agriculture of the People&#x2019;s Republic of China, 2021</xref>). Nitrogen (N) fertilizer has played a vital role in these increases. However, the over-application of N fertilizer, while maintaining crop productivity, has greatly damaged the environment, causing eutrophication (<xref ref-type="bibr" rid="B46">Tilman et al., 2001</xref>; <xref ref-type="bibr" rid="B9">Fowler et al., 2013</xref>), air pollution from ammonia (NH<sub>3</sub>) volatilization (<xref ref-type="bibr" rid="B15">Gu et al., 2014</xref>; <xref ref-type="bibr" rid="B28">Liu M. et al., 2017</xref>), global warming from emissions of nitrous oxide (N<sub>2</sub>O) (<xref ref-type="bibr" rid="B31">Liu et al., 2004</xref>; <xref ref-type="bibr" rid="B12">Gao et al., 2014</xref>), and enhanced N deposition from the atmosphere (<xref ref-type="bibr" rid="B32">Liu et al., 2013</xref>) causing soil acidification (<xref ref-type="bibr" rid="B35">Matsuyama et al., 2005</xref>; <xref ref-type="bibr" rid="B17">Guo et al., 2010</xref>). The &#x201c;Action plan for zero-growth fertilizer use by 2020&#x201d;, issued by the Ministry of Agriculture of the People&#x2019;s Republic of China in 2015, is aimed at improving fertilizer use efficiency by reducing unnecessarily large N inputs but still ensuring the effective supply of major agricultural products such as grain and so promoting sustainable agricultural development (<xref ref-type="bibr" rid="B30">Liu et al., 2016</xref>).</p>
<p>Food supplies in the south of China are dominated by rice and those in the north are dominated by wheat, of which 23% of the total is produced in the middle and lower YRB and in southwestern China (<xref ref-type="bibr" rid="B50">Wang et al., 2009</xref>). Jiangsu&#x2019;s agriculture is based on grain production with rice and wheat as the main crop, which comprises 15% of the wheat produced in the YRB. Hubei is also a major agricultural region based on grain production, with rice as the main crop. In Chongqing and Sichuan, N applications to winter wheat were 150&#x2013;718&#xa0;kg ha<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B37">Meng et al., 2013</xref>; <xref ref-type="bibr" rid="B8">Duan et al., 2014</xref>; <xref ref-type="bibr" rid="B2">Bouraima et al., 2016</xref>; <xref ref-type="bibr" rid="B63">Zhou et al., 2016</xref>) with applications as high as 240&#xa0;kg N ha<sup>&#x2212;1</sup> in Hubei province (<xref ref-type="bibr" rid="B21">Hu et al., 2015</xref>; <xref ref-type="bibr" rid="B59">Yi et al., 2015</xref>). In Jiangsu, 90&#x2013;375&#xa0;kg N ha<sup>&#x2212;1</sup> were applied to wheat (<xref ref-type="bibr" rid="B23">Jiang et al., 2006</xref>; <xref ref-type="bibr" rid="B34">Ma et al., 2010</xref>; <xref ref-type="bibr" rid="B61">Zhao et al., 2016</xref>) and, generally, 234&#x2013;870&#xa0;kg N ha<sup>&#x2212;1</sup> were applied to vegetables (including open field and greenhouse) because they are such an important part of the diet (<xref ref-type="bibr" rid="B26">Liang et al., 2013</xref>; <xref ref-type="bibr" rid="B11">Gai et al., 2016</xref>; <xref ref-type="bibr" rid="B38">Min and Shi, 2018</xref>).</p>
<p>According to the investigations and surveys in these regions, the traditional N fertilizer input (famers&#x2019; practice) is 300&#xa0;kg N ha<sup>&#x2212;1</sup>. However, 150&#x2013;180&#xa0;kg N ha<sup>&#x2212;1</sup> is the recommended N application rate for cereal crops (including wheat) to obtain the maximum profit (<xref ref-type="bibr" rid="B64">Zhu and Chen, 2002</xref>). An integrated study by <xref ref-type="bibr" rid="B24">Ju et al. (2009)</xref> supported the view that a reduction of 30%&#x2013;50% of the fertilizer N application was possible without yield loss of wheat in the North China Plain and Taihu Lake Region of China. <xref ref-type="bibr" rid="B39">Min et al. (2012)</xref> reported that a 40% reduction of fertilizer N inputs can reduce N leaching and maintain the yield of intensive greenhouse vegetables. <xref ref-type="bibr" rid="B13">Goh and Vityakon (1983)</xref> found that an application of only 300&#xa0;kg N ha<sup>&#x2212;1</sup> can achieve high yields of spinach. We therefore conducted experiments to test whether a reduction in the N application rate from 300 and 600&#xa0;kg N ha<sup>&#x2212;1</sup> to 150 and 300&#xa0;kg&#xa0;N&#xa0;ha<sup>&#x2212;1</sup> would maintain wheat grain yields and vegetable yields in typical local crop rotations and reduce the environmental impact at three sites in the YRB.</p>
<p>Food security is the prime consideration of the Chinese Government because of the increasing population, currently more than 1.4 billion, but, as noted above, pollution is an increasing concern. The Ministry of Agriculture and Rural Affairs of the People&#x2019;s Republic of China reported that the average fertilizer apparent recovery of rice, wheat, and maize was only 35.2% in 2015. Therefore, research is needed to increase N use efficiency while at least maintaining yields. This paper reports research on the winter production of typical multiple cropping rotations of rice&#x2013;wheat, rice&#x2013;vegetables, and maize&#x2013;wheat. <sup>15</sup>N-labeling experiments at three sites in upstream, midstream, and downstream regions of the YRB region continued the same fertilizer treatments and management practices as in the summer season (<xref ref-type="bibr" rid="B52">Wang et al., 2019</xref>). Crops planted in winter (wheat and vegetables) have special characteristics (e.g., dry-farming in a rotation; higher fertilizer applications in the vegetable season; cold climatic conditions affecting N dynamics in soils and utilization by crops). The fate of N and its effects on the yield of summer crops have been reported previously (<xref ref-type="bibr" rid="B52">Wang et al., 2019</xref>). However, the fate of <sup>15</sup>N-labeled fertilizer in winter season crops rotated with summer crops (e.g., rice and maize) has not been addressed to date. This paper reports the results for the winter season crops with the following objectives: 1) to research if crop yields can be maintained or even increased with reduced and more efficient fertilizer inputs; 2) to quantify fertilizer N recovery by the crops and soil and measure N utilization efficiency in the wheat and vegetable growing seasons.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Experimental Site</title>
<p>The field experiments were conducted at three sites in the YRB in 2016&#x2013;2017: the agronomic experimental station in Jiangjin County, Chongqing, China (106&#xb0;11&#x2032;E and 29&#xb0;03&#x2032;N) (upstream at 285&#xa0;m altitude), the agronomic experimental station in Shayang County, Jingmen, Hubei, China (112&#xb0;18&#x2032;E and 30&#xb0;43&#x2032;N) (midstream at 87.3&#xa0;m altitude), and the agricultural science research institute of Rugao County, Nantong, Jiangsu, China (120&#xb0;29&#x2032;E and 32&#xb0;22&#x2032;N) (downstream at 4&#xa0;m altitude). Jiangjin, Shayang, and Rugao are typical agricultural counties in upstream, midstream, and downstream YRB. The Jiangjin site is a long-term experiment owned by Southwest University; Shayang belongs to Huazhong Agricultural University, while Rugao is the experimental site of Nanjing Agricultural University. The properties of the 0&#x2013;40&#xa0;cm soil layers at the three sites before transplanting are shown in <xref ref-type="table" rid="T1">Table 1</xref>. The so-named &#x201c;Purple soil&#x201d; is distributed widely in upstream YRB (<xref ref-type="bibr" rid="B41">Mo et al., 2005</xref>). The hydragric anthrosol at Shayang is a special type of anthropogenically formed soil developed by long-term flooding, puddling, and rice planting according to the World Reference Base for Soil Resources (WRB). Fluvisol is fluviatile deposits with evident stratification and is widely distributed in downstream YRB. The greatly improved multiple cropping index (<xref ref-type="bibr" rid="B55">Xu et al., 2019</xref>) has shortened the alternating time of dry and wet cycles, which induces secondary gley formation and develops into the soil type corresponding to a Gleyic fluvisol in WRB.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Average soil properties at the experimental sites at the beginning of the experiment.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Location</th>
<th align="center">Soil type<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="center">Organic matter (g&#xb7;kg<sup>&#x2212;1</sup>)</th>
<th align="center">Total N (g&#xb7;kg<sup>&#x2212;1</sup>)</th>
<th align="center">Olsen-P (mg&#xb7;kg<sup>&#x2212;1</sup>)</th>
<th align="center">Available K (mg&#xb7;kg<sup>&#x2212;1</sup>)</th>
<th align="center">pH (in H<sub>2</sub>O)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Jiangjin</td>
<td align="left">Hydragric Anthrosol (purple soil)</td>
<td align="char" char=".">25.49</td>
<td align="char" char=".">1.58</td>
<td align="char" char=".">7.77</td>
<td align="char" char=".">107.5</td>
<td align="char" char=".">5.00</td>
</tr>
<tr>
<td align="left">Shayang</td>
<td align="left">Hydragric Anthrosol</td>
<td align="char" char=".">18.05</td>
<td align="char" char=".">1.04</td>
<td align="char" char=".">4.44</td>
<td align="char" char=".">117.4</td>
<td align="char" char=".">7.52</td>
</tr>
<tr>
<td align="left">Rugao</td>
<td align="left">Gleyic Fluvisol</td>
<td align="char" char=".">21.12</td>
<td align="char" char=".">1.26</td>
<td align="char" char=".">7.19</td>
<td align="char" char=".">88.3</td>
<td align="char" char=".">7.44</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>Classified according to WRB.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-2">
<title>Field Experiment Design</title>
<p>The field experiment compared three rotations during the wheat/vegetable production season: rice&#x2013;wheat (RW), rice&#x2013;vegetables (RV) (the vegetables were tuber mustard at Jiangjin, cabbage at Shayang, and savoy cabbage at Rugao), and maize&#x2013;wheat (MW). Each rotation comprised three treatments: no N fertilizer as the control (C), reduced N fertilizer (R), and traditional N fertilizer (T). Fertilizers for wheat and vegetables were applied as shown in <xref ref-type="table" rid="T2">Table 2</xref>, based on previous studies in Chongqing (<xref ref-type="bibr" rid="B24">Ju et al., 2009</xref>; <xref ref-type="bibr" rid="B44">Su et al., 2017</xref>; <xref ref-type="bibr" rid="B18">Hao et al., 2019</xref>). Plot sizes were 8&#xa0;m &#xd7; 5&#xa0;m at Jiangjin, 5.5&#xa0;m &#xd7; 4.5&#xa0;m at Shayang, and 10&#xa0;m &#xd7; 4&#xa0;m at Rugao, arranged in randomized blocks in four adjacent fields at the three sites.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Fertilizer applications in the wheat/vegetable season.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Crops</th>
<th rowspan="2" align="center">Fertilizer treatments</th>
<th colspan="2" align="center">N (kg N ha<sup>&#x2212;1</sup>)</th>
<th align="center">P (kg P<sub>2</sub>O<sub>5</sub> ha<sup>&#x2212;1</sup>)</th>
<th align="center">K (kg K<sub>2</sub>O ha<sup>&#x2212;1</sup>)</th>
</tr>
<tr>
<th align="center">Basal application</th>
<th align="center">Topdressing</th>
<th align="center">Basal application</th>
<th align="center">Basal application</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Wheat (RW, MW)</td>
<td align="center">C</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">60</td>
<td align="center">75</td>
</tr>
<tr>
<td align="center">R</td>
<td align="center">60</td>
<td align="center">90</td>
<td align="center">60</td>
<td align="center">75</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">180</td>
<td align="center">120</td>
<td align="center">120</td>
<td align="center">75</td>
</tr>
<tr>
<td rowspan="3" align="left">Vegetable (RV)</td>
<td align="center">C</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">60</td>
<td align="center">75</td>
</tr>
<tr>
<td align="center">R</td>
<td align="center">120</td>
<td align="center">180</td>
<td align="center">120</td>
<td align="center">180</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">300</td>
<td align="center">300</td>
<td align="center">240</td>
<td align="center">180</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Notes: all the fertilizers were broadcast onto the soil and topdressings were applied avoiding foliage. C, control, no N fertilizer. R, reduced fertilizer. T, traditional fertilizer.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Microplots (0.5&#xa0;m &#xd7; 0.5&#xa0;m) fenced with a stainless steel frame (0.3&#xa0;m high, and driven 0.2&#xa0;m deep into the soil to avoid surface runoff and lateral contamination) were installed at the side of each traditional fertilizer treatment and reduced fertilizer treatment plot, 1&#xa0;m from the edge of the plots. <sup>15</sup>N-labeled urea (abundance 5.14%; Shanghai Chem-Industry Institute) was applied to the microplots at the same N rate as the main plots and at the same time. Applications of P and K fertilizer and management practices on the microplots were the same as on the corresponding main plots. Each treatment had three replicates. Crop varieties were Chuanmai 45, Zhengmai 9023, and Yangmai 16 wheat at Jiangjin, Shayang, and Rugao, respectively.</p>
</sec>
<sec id="s2-3">
<title>Plant and Soil Sampling and Analysis</title>
<p>Agricultural management practices for the wheat at the three sites, tuber mustard (<italic>Brassica juncea</italic> var. <italic>tumida</italic> L.) at Jiangjin, cabbage (<italic>Brassica rapa pekinensis</italic> L.) at Shayang, and savoy cabbage (<italic>Brassica oleracea</italic> L. <italic>var. capitata</italic> L.) at Rugao, are shown in <xref ref-type="table" rid="T3">Table 3</xref>. The wheat and vegetables were planted at 1.74&#x2013;2.18 &#xd7; 10<sup>6</sup> plants ha<sup>&#x2212;1</sup> and 9 &#xd7; 10<sup>4</sup> plants ha<sup>&#x2212;1</sup>, respectively. The recent (2006&#x2013;2015) weather conditions (e.g., average precipitation and temperature during the wheat and vegetable growing period) in the three regions are shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Agricultural management during the winter season at the three sites.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Crop rotation</th>
<th rowspan="2" align="center">Activity</th>
<th colspan="3" align="center">Date</th>
</tr>
<tr>
<th align="center">Jiangjin</th>
<th align="center">Shayang</th>
<th align="center">Rugao</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">2016&#x2013;2017 Wheat (RW, MW)</td>
<td align="left">Basal fertilization</td>
<td align="left">3 November</td>
<td align="left">26 October</td>
<td align="left">30 November</td>
</tr>
<tr>
<td align="left">Sowing</td>
<td align="left">4 November</td>
<td align="left">27 October</td>
<td align="left">31 November</td>
</tr>
<tr>
<td align="left">Topdressing</td>
<td align="left">9 December</td>
<td align="left">20 December</td>
<td align="left">11 March</td>
</tr>
<tr>
<td align="left">Harvesting</td>
<td align="left">3 May</td>
<td align="left">15 May</td>
<td align="left">30 May</td>
</tr>
<tr>
<td rowspan="5" align="left">2016&#x2013;2017 Vegetable (RV)</td>
<td align="left">Basal fertilization and transplanting</td>
<td align="left">26 October</td>
<td align="left">9 October</td>
<td align="left">11 March</td>
</tr>
<tr>
<td align="left">First topdressing</td>
<td align="left">2 November</td>
<td align="left">20 December</td>
<td align="left">28 March</td>
</tr>
<tr>
<td align="left">Second topdressing</td>
<td align="left">2 December</td>
<td align="left">27 January</td>
<td align="left">12 April</td>
</tr>
<tr>
<td align="left">Third topdressing</td>
<td align="left">27 December</td>
<td align="left">17 February</td>
<td align="left">5 May</td>
</tr>
<tr>
<td align="left">Harvesting</td>
<td align="left">16 February</td>
<td align="left">8 March</td>
<td align="left">30 May</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Average precipitation <bold>(A)</bold> and temperature <bold>(B)</bold> at the experimental sites from 2006 to 2015.</p>
</caption>
<graphic xlink:href="fenvs-10-772972-g001.tif"/>
</fig>
<p>The yields of wheat grain and vegetables were determined by harvesting all of each plot. Plant samples from microplots were carefully collected by hand using a sickle and a small shovel and separated into grain, straw, and roots. Aboveground parts were harvested first and then whole roots were dug out and washed with distilled water. All samples were dried at 65&#xb0;C in a forced air oven and ground to pass a 250-&#x3bc;m (65-mesh) screen. Samples from the microplots, including four hills of wheat and one hill of vegetables, were finely ground in a ball mill for <sup>15</sup>N analysis.</p>
<p>Soil samples were collected from 0&#x2013;40&#xa0;cm depths from all plots and microplots after harvesting the wheat and vegetables using a 3-cm inner diameter tube auger and divided into two layers (0&#x2013;20&#xa0;cm, 20&#x2013;40&#xa0;cm). All soil samples were air-dried and ground to pass a 150-&#x3bc;m (100-mesh) screen. Soil samples from microplots were finely ground in a ball mill. Grain, straw, roots, and soil samples were analyzed for total N content by the Kjeldahl method and <sup>15</sup>N abundance by mass spectrometry (Delta Plus XP, Thermo Finnigan, Pittsburg, PA). Tuber mustard has stems, leaves and roots. Usually, the stem is eaten but the leaves are discarded. All of the aboveground parts of cabbage and savoy cabbage can be eaten.</p>
</sec>
<sec id="s2-4">
<title>
<sup>15</sup>N Analysis</title>
<p>The percentages of fertilizer N recovered in wheat/vegetable grain/edible part, straw and roots and in the soil from the microplots at harvest were calculated using <xref ref-type="disp-formula" rid="e1">Eqs. 1</xref>&#x2013;<xref ref-type="disp-formula" rid="e4">4</xref>, where the <sup>15</sup>N atom% excesses were corrected for background abundance [0.3663% (<xref ref-type="bibr" rid="B3">Cabrera and Kissel, 1989</xref>)].<disp-formula id="e1">
<mml:math id="m1">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mtext>N&#xa0;derived&#xa0;from&#xa0;fertilizer&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>Ndff</mml:mtext>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mtext>&#xa0;in&#xa0;the&#xa0;plant&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mtext>kg&#xa0;N&#xa0;ha</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mo>-</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mtext>&#xa0;N&#xa0;uptake&#xa0;by&#xa0;the&#xa0;plant&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mtext>kg&#xa0;ha</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mo>-</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mtext>&#xd7;</mml:mtext>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mmultiscripts>
<mml:mtext>N</mml:mtext>
<mml:mprescripts/>
<mml:none/>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:mmultiscripts>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mtext>atom%&#xa0;excess&#xa0;in&#xa0;the&#xa0;plant</mml:mtext>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:mmultiscripts>
<mml:mtext>N</mml:mtext>
<mml:mprescripts/>
<mml:none/>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:mmultiscripts>
<mml:mtext>&#xa0;atom%&#xa0;excess&#xa0;in&#xa0;fertilizer</mml:mtext>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
<label>(1)</label>
</disp-formula>
<disp-formula id="e2">
<mml:math id="m2">
<mml:mrow>
<mml:mtext>Ndff&#xa0;in&#xa0;soil&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mtext>kg&#xa0;N&#xa0;ha</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mo>-</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mtext>&#xa0;Total&#xa0;N&#xa0;in&#xa0;soil&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mtext>kg&#xa0;ha</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mo>-</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mmultiscripts>
<mml:mtext>N</mml:mtext>
<mml:mprescripts/>
<mml:none/>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:mmultiscripts>
<mml:mtext>&#xa0;atom%&#xa0;excess&#xa0;in&#xa0;soil</mml:mtext>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:mmultiscripts>
<mml:mtext>N</mml:mtext>
<mml:mprescripts/>
<mml:none/>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:mmultiscripts>
<mml:mtext>&#xa0;atom%&#xa0;excess&#xa0;in&#xa0;fertilizer</mml:mtext>
</mml:mrow>
</mml:mrow>
<mml:mtext>&#xa0;</mml:mtext>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
<disp-formula id="e3">
<mml:math id="m3">
<mml:mrow>
<mml:mtext>Fertilizer&#xa0;N&#xa0;recovery&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mtext>%</mml:mtext>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mrow>
<mml:mrow>
<mml:mtext>Ndff</mml:mtext>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:mmultiscripts>
<mml:mtext>N</mml:mtext>
<mml:mprescripts/>
<mml:none/>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:mmultiscripts>
<mml:mtext>&#xa0;rate&#xa0;&#xd7;&#xa0;</mml:mtext>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
<disp-formula id="e4">
<mml:math id="m4">
<mml:mrow>
<mml:mtext>Loss&#xa0;of&#xa0;fertilizer&#xa0;N&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mtext>%</mml:mtext>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mtext>100%&#xa0;</mml:mtext>
<mml:mo>-</mml:mo>
<mml:mtext>&#xa0;Fertilizer&#xa0;N&#xa0;recovery&#xa0;in&#xa0;the&#xa0;plant&#xa0;</mml:mtext>
<mml:mo>-</mml:mo>
<mml:mtext>Fertilizer&#xa0;N&#xa0;recovery&#xa0;in&#xa0;the&#xa0;soil&#xa0;</mml:mtext>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
</p>
</sec>
<sec id="s2-5">
<title>Statistical Analysis</title>
<p>Statistical analyses were made using SPSS 23 (Statistical Product and Service Solutions Inc., Chicago, IL, United States). A two-way analysis of variance (ANOVA) was conducted to compare measured crop and soil data (biomass yield and fertilizer N recovery) by standard procedures on a randomized plot design for the rice/maize season within the following effects: crop rotation (RW, RV, and MW), fertilizer (C, R, and T), and crop rotation &#xd7; fertilizer. Different small letters mean statistically significant differences at <italic>p</italic> &#x3c; 0.05 between the different rotations at the same site according to the Tukey HSD test. Microsoft Office Excel 2013 was used to process the data. OriginPro 2017 was used to draw the figures.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Crop Yields</title>
<p>Yields of wheat in the RW and MW rotations and of vegetables in the RV rotation are shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. The interactions of crop rotation and fertilizer rate had a significant effect on yield at Jiangjin and Rugao. At Jiangjin (Chongqing), the traditional fertilizer input resulted in a 90% increase (by 1.96&#xa0;t ha<sup>&#x2212;1</sup>) and 31% decrease (by 1.67&#xa0;t ha<sup>&#x2212;1</sup>) in the wheat yields in the RW and MW rotations compared with no fertilizer control, respectively. Reduced fertilizer caused a 116% and 3% increase in RW (2.23&#xa0;t ha<sup>&#x2212;1</sup>) and MW (2.47&#xa0;t ha<sup>&#x2212;1</sup>) wheat yields, respectively, compared to the zero&#xa0;N control. In the RV rotation, traditional fertilizer input and reduced fertilizer input produced 370% (13.99&#xa0;t ha<sup>&#x2212;1</sup>) and 214% (9.34&#xa0;t ha<sup>&#x2212;1</sup>) increases in tuber mustard yield relative to the control, respectively. However, although the traditional fertilizer input resulted in a bigger yield increase, it also increased the variability of yields.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Wheat and vegetable yields at Jiangjin, Shayang, and Rugao. Note: RW &#x3d; Rice&#x2013;Wheat rotation. RV &#x3d; Rice&#x2013;Vegetable rotation. MW &#x3d; Maize&#x2013;Wheat rotation. Error bars present the standard error of the measurements from three replicates. C &#x3d; no N fertilizer input. R &#x3d; reduced fertilizer input. T &#x3d; traditional fertilizer input. Different small letters above the bars denote significance at the 5% level. Cro &#x3d; crop system. Fer &#x3d; fertilization. Cro &#xd7; Fer &#x3d; the interactions of crop rotation and fertilization. ns, &#x2a; and &#x2a;&#x2a; mean no significance, <italic>p</italic> &#x3c; 0.05 and <italic>p</italic> &#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fenvs-10-772972-g002.tif"/>
</fig>
<p>At Shayang (Hubei), the traditional fertilizer input increased (<italic>p</italic> &#x3c; 0.05) wheat grain yield in the RW and MW rotations by 541% (3.42&#xa0;t ha<sup>&#x2212;1</sup>) and 459% (4.19&#xa0;t ha<sup>&#x2212;1</sup>), respectively, over the control. Reduced fertilizer input significantly increased yields over the control by 453% (2.95&#xa0;t ha<sup>&#x2212;1</sup>) for RW and 420% (3.90&#xa0;t ha<sup>&#x2212;1</sup>) for MW, but there were no significant differences between the traditional and reduced treatments. Because of an abnormal amount of precipitation at transplanting, which could not be handled by the drainage system in the concrete frame, flooding of the RV cabbage at Shayang resulted in no yield.</p>
<p>At Rugao (Jiangsu), the traditional fertilizer application produced 207% (by 5.28&#xa0;t ha<sup>&#x2212;1</sup>) and 300% (by 7.02&#xa0;t ha<sup>&#x2212;1</sup>) increases (<italic>p</italic> &#x3c; 0.05) in RW and MW wheat yields, respectively, compared to no N control. Reduced fertilizer input resulted in 134% (by 4.02&#xa0;t ha<sup>&#x2212;1</sup>) and 182% (by 4.94&#xa0;t ha<sup>&#x2212;1</sup>) increases in grain yield for RW and MW, respectively, compared to the control. The traditional fertilizer input also increased the yield in the RW and MW rotations by 31% and 42%, respectively, over the R treatment. Savoy cabbage receiving the traditional fertilizer rate (yield &#x3d; 30.04&#xa0;t ha<sup>&#x2212;1</sup>) and reduced fertilizer rate (yield &#x3d; 30.38&#xa0;t ha<sup>&#x2212;1</sup>) in the RV rotation yielded 59% and 60% more, respectively, than the controls, but there was no significant difference between the T and R treatments.</p>
</sec>
<sec id="s3-2">
<title>The Recovery of <sup>15</sup>N-Labeled Fertilizer in the Crops</title>
<p>The atom % <sup>15</sup>N recovery in wheat (grain, straw and roots) in the RW and MW rotations and in the vegetables in the RV rotation (leaves, stem, and roots) are shown in <xref ref-type="fig" rid="F3">Figure 3</xref>. There were significant interactions between the crop rotation and fertilizer in determining the <sup>15</sup>N recovery in grain, straw, and roots at Jiangjin, with the average recovery in the grain, straw, and roots of wheat from the T treatment at Jiangjin being only 7%, 8%, and 1%, respectively; i.e., very low. Recoveries in the R treatment were 11%, 12%, and 1% in the grain, straw, and roots, respectively. <sup>15</sup>N recoveries from the R treatment in the stem, leaves, and roots of tuber mustard were 25%, 11%, and 2%, respectively, and those from the T treatment were 16%, 5%, and 1%, respectively. Recoveries in the grain and stem from the R treatment at Jiangjin were significantly higher (by 34, 75 and 55%) than those from the T treatment in the RW, MW (grain), and RV (stem) rotations, respectively. The recoveries from the R treatment in the straw and leaves of wheat and cabbage at Rugao were higher (<italic>p</italic> &#x3c; 0.05) than those from the T treatments in the RW (by 67%), MW (by 27%), and RV (by 136%). The <sup>15</sup>N recoveries in the roots of crops receiving reduced fertilizer inputs were 43% and 76% higher than those receiving the traditional fertilizer input in the RW and RV rotations, respectively.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<sup>15</sup>N recoveries in wheat/vegetable grain/stem/leaves, straw and roots in the three crop rotations at Jiangjin, Shayang and Rugao. Note: RW &#x3d; rice&#x2013;wheat rotation. RV &#x3d; rice&#x2013;vegetable rotation. MW &#x3d; maize&#x2013;wheat rotation. Error bars present the standard error of the measurements from three replicates. R &#x3d; reduced fertilizer input. T &#x3d; traditional fertilizer input. Different small letters above the bars denote significance at the 5% level. Cro &#x3d; crop system. Fer &#x3d; fertilization. Cro &#xd7; Fer &#x3d; the interactions of crop rotation and fertilization. ns, &#x2a; and &#x2a;&#x2a; mean no significance, <italic>p</italic> &#x3c; 0.05 and <italic>p</italic> &#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fenvs-10-772972-g003.tif"/>
</fig>
<p>At Shayang, the average recoveries in the grain, straw, and roots of wheat receiving the traditional fertilizer input were 20%, 10%, and 2%, respectively, and the average recoveries in those receiving reduced fertilizer input were 25%, 112%, and 2%, respectively. The total <sup>15</sup>N recoveries in the grain from the R treatment on the RW and MW rotations were significantly higher (by 31% and 19%, respectively) than those receiving traditional fertilizer input. There were no significant differences between the 2&#xa0;N rates in the recoveries in the straw and roots.</p>
<p>At Rugao, the average recoveries in grain, straw, and roots of wheat receiving the traditional fertilizer rate were 25%, 8%, and 1%, respectively; in the R treatment, they were 32%, 10%, and 1%, respectively. There were no significant differences between the 2&#xa0;N treatments in the recoveries in the grain in the RW rotation, but more <sup>15</sup>N was recovered in the straw and roots in RW. Total <sup>15</sup>N recoveries in the grain, straw, and roots of the R treatment were significantly higher (by 51%, 21%, and 54%, respectively) than those grown with the traditional fertilizer input in the MW rotation. The percentage <sup>15</sup>N recoveries in leaves and roots of savoy cabbage were 58% and 1%. The percentage recovery from the T treatment was 36% and 1% and that from the R treatment 58% and 73%, i.e., higher (<italic>p</italic> &#x3c; 0.05) compared to the T treatment.</p>
</sec>
<sec id="s3-3">
<title>Distribution of <sup>15</sup>N-Labeled Fertilizer N in Soil</title>
<p>The recoveries of <sup>15</sup>N fertilizer in the soil are shown in <xref ref-type="fig" rid="F4">Figure 4</xref>. There were significant interactions of the crop rotation with fertilizer rate in the 0&#x2013;20 and 0&#x2013;40&#xa0;cm soil layers at Jiangjin and Rugao. At Jiangjin, the percentage recoveries of <sup>15</sup>N in the RW, MW, and RV rotations were 17%, 15%, and 36% in the 0&#x2013;20&#xa0;cm soil layer and 7%, 7%, and 9% in the 20&#x2013;40&#xa0;cm layer in the T treatment over the whole wheat/vegetable season. The percentages of the total soil recoveries in the shallow (0&#x2013;20&#xa0;cm) soil layer were 70%, 69%, and 80% in the RW, MW, and RV rotations, respectively. In the R treatment, the recoveries in the RW, MW, and RV rotations were 19%, 20%, and 19%, respectively, in the 0&#x2013;20&#xa0;cm soil and 10%, 7%, and 9%, respectively, in the 20&#x2013;40&#xa0;cm layer. The percentages of total recovery in the shallow soil layer were therefore 67%, 68%, and 73%, respectively, in the R treatment. The recovered <sup>15</sup>N residues in the soil from the R treatments were 20% and 26% higher, respectively, in the RW and MW rotations but 38% lower in RV rotation compared with the T treatment.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<sup>15</sup>N recovery in the 0&#x2013;40&#xa0;cm soil layer during the wheat/vegetable season at Jiangjin, Shayang, and Rugao. Note: RW &#x3d; rice&#x2013;wheat rotation. RV &#x3d; rice&#x2013;vegetable rotation. MW &#x3d; maize&#x2013;wheat rotation. Error bars present the standard error of the measurements from three replicates. R &#x3d; reduced fertilizer input. T &#x3d; traditional fertilizer input. Different small letters above the bars denote significance at the 5% level. Cro &#x3d; crop system. Fer &#x3d; fertilization. Cro &#xd7; Fer &#x3d; the interactions of crop rotation and fertilization. ns, &#x2a; and &#x2a;&#x2a; mean no significance, <italic>p</italic> &#x3c; 0.05 and <italic>p</italic> &#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fenvs-10-772972-g004.tif"/>
</fig>
<p>At Shayang, 18%, 21%, 16%, and 19% of the residual <sup>15</sup>N was found in the 0&#x2013;20&#xa0;cm soil layer in the RWT (traditional fertilizer rate), RWR (reduced fertilizer rate), MWT, and MWR treatments, respectively. <sup>15</sup>N recovery in the surface layer was increased significantly by reducing the fertilizer application. Recovery in the 20&#x2013;40&#xa0;cm soil layer in the RW and MW rotations was 6% and 4% for the T treatment and 7% and 7% for the R treatment. The percentages of the total recovery of <sup>15</sup>N in the surface soil layer were 75% and 75% in the RW rotation receiving the traditional and reduced fertilizer rates, respectively, and 79% and 73% in the MW rotation receiving the traditional and reduced fertilizer input, respectively. Reducing the fertilizer rate increased <sup>15</sup>N recovery in the soil by 17% and 29% in the RW and MW rotations, respectively, compared to the traditional fertilizer rates used by farmers.</p>
<p>At Rugao, the rate of N applied had no significant effect on the amount of <sup>15</sup>N recovered in the soil in the wheat/vegetable season. Of the total <sup>15</sup>N recovered, 94%, 91%, 85%, 83%, 86%, and 75% were in the surface 0&#x2013;20&#xa0;cm of soil in the RW (T), RW (R), MW (T), MW (R), RV (T), and RV (R) treatments, respectively.</p>
</sec>
<sec id="s3-4">
<title>Losses of <sup>15</sup>N-Labeled Urea During the Wheat/Vegetable Season</title>
<p>The loss of <sup>15</sup>N was calculated as the difference between the <sup>15</sup>N applied and its measured uptake by wheat (grain, straw, and roots), tuber mustard (stem, leaves, and roots), savoy cabbage (leaves and roots), and the residue in the soil (<xref ref-type="table" rid="T4">Table 4</xref>). In our experiment, a significant decrease in total N loss (i.e., the N unaccounted for) was observed in improved fertilizer treatments relative to traditional fertilizer management of the three cropping systems in winter, with total N losses of winter-season crops (wheat and vegetables) reduced by 60%&#x2013;67%, 58%&#x2013;68%, and 64%&#x2013;69% at Jiangjin, Shayang, and Rugao, respectively. Across all three sites in the YRB, improved (i.e., reduced) fertilizer rates decreased N losses to the environment by 63% and 66% from wheat and vegetable rotations. According to the two-way ANOVA (<xref ref-type="table" rid="T5">Table 5</xref>), N loss was mainly determined by crop rotation (<italic>p</italic> &#x3c; 0.05) at the three sites, but fertilizer rate had a significant effect at Jiangjin.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Average N losses as percentages and amounts from the crop rotations in the YRB (mean &#xb1; SD).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Site</th>
<th align="center">Rotation system</th>
<th align="center">Treatment</th>
<th align="center">
<sup>15</sup>N loss rate (%)</th>
<th align="center">Total N loss (kg N ha<sup>&#x2212;1</sup>)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">Jiangjin</td>
<td rowspan="2" align="center">RW</td>
<td align="center">R</td>
<td align="center">48.7 &#xb1; 0.7b</td>
<td align="center">73.0 &#xb1; 1.3c</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">60.9 &#xb1; 2.1a</td>
<td align="center">182.8 &#xb1; 6.2a</td>
</tr>
<tr>
<td rowspan="2" align="center">RV</td>
<td align="center">R</td>
<td align="center">17.2 &#xb1; 5.3c</td>
<td align="center">51.7 &#xb1; 15.8c</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">26.0 &#xb1; 1.3c</td>
<td align="center">156.2 &#xb1; 7.8b</td>
</tr>
<tr>
<td rowspan="2" align="center">MW</td>
<td align="center">R</td>
<td align="center">49.1 &#xb1; 3.9b</td>
<td align="center">73.7 &#xb1; 5.9c</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">62.2 &#xb1; 5.6a</td>
<td align="center">186.5 &#xb1; 16.8a</td>
</tr>
<tr>
<td rowspan="6" align="left">Shayang</td>
<td rowspan="2" align="center">RW</td>
<td align="center">R</td>
<td align="center">28.7 &#xb1; 5.0a</td>
<td align="center">43.1 &#xb1; 7.4b</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">39.8 &#xb1; 5.2a</td>
<td align="center">119.4 &#xb1; 15.5a</td>
</tr>
<tr>
<td rowspan="2" align="center">RV</td>
<td align="center">R</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td rowspan="2" align="center">MW</td>
<td align="center">R</td>
<td align="center">23.9 &#xb1; 4.2a</td>
<td align="center">35.9 &#xb1; 6.3b</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">39.0 &#xb1; 6.4a</td>
<td align="center">116.9 &#xb1; 19.1a</td>
</tr>
<tr>
<td rowspan="6" align="left">Rugao</td>
<td rowspan="2" align="center">RW</td>
<td align="center">R</td>
<td align="center">35.6 &#xb1; 3.4ab</td>
<td align="center">53.3 &#xb1; 5.2b</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">42.1 &#xb1; 3.8a</td>
<td align="center">126.3 &#xb1; 11.3a</td>
</tr>
<tr>
<td rowspan="2" align="center">RV</td>
<td align="center">R</td>
<td align="center">14.8 &#xb1; 3.2d</td>
<td align="center">44.4 &#xb1; 9.6b</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">20.6 &#xb1; 5.1cd</td>
<td align="center">123.4 &#xb1; 30.6a</td>
</tr>
<tr>
<td rowspan="2" align="center">MW</td>
<td align="center">R</td>
<td align="center">29.2 &#xb1; 4.3bc</td>
<td align="center">43.8 &#xb1; 6.4b</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">45.9 &#xb1; 4.0a</td>
<td align="center">137.7 &#xb1; 12.0a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: RW, rice&#x2013;wheat rotation; RV, rice&#x2013;vegetable rotation; MW, maize&#x2013;wheat rotation. R, reduced fertilizer input. T, traditional fertilizer input. Means followed by different small letters indicate significant differences according to Tukey HSD, test (<italic>p</italic> &#x2264; 0.05), when comparing with the R and T treatments.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>ANOVA results (<italic>p</italic> values) for the individual effects of interactions of fertilizer (R and T) and crop rotation (RW, RV, and MW) on<sup>15</sup>N loss and total N loss.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">&#x2014;</th>
<th align="center">Fertilizer</th>
<th align="center">Crop rotation</th>
<th align="center">Fertilizer &#xd7; crop rotation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">Jiangjin</td>
<td align="center">
<sup>15</sup>N loss rate</td>
<td align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
<td align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
<td align="char" char=".">0.5710</td>
</tr>
<tr>
<td align="center">Total N loss</td>
<td align="char" char=".">
<bold>0.0017</bold>
</td>
<td align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
<td align="char" char=".">0.7868</td>
</tr>
<tr>
<td rowspan="2" align="left">Shayang</td>
<td align="center">
<sup>15</sup>N loss rate</td>
<td align="char" char=".">0.3779</td>
<td align="char" char=".">
<bold>0.0025</bold>
</td>
<td align="char" char=".">0.5295</td>
</tr>
<tr>
<td align="center">Total N loss</td>
<td align="char" char=".">0.5416</td>
<td align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
<td align="char" char=".">0.7676</td>
</tr>
<tr>
<td rowspan="2" align="left">Rugao</td>
<td align="center">
<sup>15</sup>N loss rate</td>
<td align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
<td align="char" char=".">
<bold>0.0003</bold>
</td>
<td align="char" char=".">0.0640</td>
</tr>
<tr>
<td align="center">Total N loss</td>
<td align="char" char=".">0.7021</td>
<td align="char" char=".">
<bold>&#x3c;0.0001</bold>
</td>
<td align="char" char=".">0.4838</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: Statistically significant effects (<italic>p</italic> &#x3c; 0.05) are marked in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Fate of <sup>15</sup>N-Labeled Urea During the Wheat/Vegetable Season</title>
<p>The fate of <sup>15</sup>N-labeled urea in wheat/vegetable season under the different rotations at the three sites is shown in <xref ref-type="fig" rid="F5">Figure 5</xref>. At the conclusion of the experiment at Jiangjin, the average percentage of recovery of <sup>15</sup>N in wheat was 16% and 24% with the traditional and reduced fertilizer inputs, respectively, i.e., very low. The average recovery from the soil was 23% and 28% with the traditional and reduced fertilizer input, respectively. Thus, fertilizer <sup>15</sup>N loss to water and air (62%) under the traditional fertilizer input was reduced by 21% by reducing the fertilizer input (actual loss &#x3d; 49%), and by 34% (from 26 to 17%) under the wheat rice&#x2013;vegetable rotation.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>
<sup>15</sup>N recoveries in the crops at the end of the rotations, soil, and losses. Note: RW &#x3d; rice&#x2013;wheat rotation. RV &#x3d; rice&#x2013;vegetable rotation. MW &#x3d; maize&#x2013;wheat rotation. RWR &#x3d; reduced fertilizer input in RW rotation, RWT &#x3d; traditional fertilizer input in RW rotation, the same as RV and MW rotations in Jiangjin, Shayang, and Rugao.</p>
</caption>
<graphic xlink:href="fenvs-10-772972-g005.tif"/>
</fig>
<p>At Shayang, the average N uptakes by the wheat were 32% (T) and 39% (R). The average <sup>15</sup>N recoveries from the soil under wheat were 22% and 27% in the T treatment and R treatment, respectively, so the N loss to the environment was reduced by 26%.</p>
<p>At Rugao, the average fertilizer <sup>15</sup>N recovered in the wheat was 34% with the traditional fertilizer input and 44% with the reduced fertilizer input, with average recoveries from the soil of 22% (T) and 24% (R). Thus, fertilizer N loss was reduced by 27% by reducing the fertilizer input. Savoy cabbage utilized 36% and 58% of the N applied and left 22% and 24% in the soil at the traditional and reduced fertilizer rates, respectively; a 28% reduction in loss to the environment.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The average wheat yield at Jiangjin obtained by reducing the fertilizer application (2.35 &#xb1; 0.76&#xa0;t ha<sup>&#x2212;1</sup>) was higher but not significantly different from that using the traditional fertilizer input (1.81 &#xb1; 0.82&#xa0;t ha<sup>&#x2212;1</sup>). All treatments at Jiangjin yielded less than in previous experiments in the Sichuan Basin (2.74 &#xb1; 0.93&#xa0;t ha<sup>&#x2212;1</sup>) (<xref ref-type="bibr" rid="B8">Duan et al., 2014</xref>; <xref ref-type="bibr" rid="B63">Zhou et al., 2016</xref>) due to fusarium head blight (FHB). The disease mainly occurs in warm, humid climates (such as Jiangjin, which has no useful tools or sufficient experience for FHB control) and can lead to a loss of yield and quality (significant yield losses on more than 5 million ha per year in China are caused by FHB) (<xref ref-type="bibr" rid="B14">Goswami and Kistler, 2004</xref>; <xref ref-type="bibr" rid="B6">Cowger et al., 2016</xref>; <xref ref-type="bibr" rid="B33">Liu Y. Y. et al., 2017</xref>; <xref ref-type="bibr" rid="B4">Chen et al., 2019</xref>). In Shayang county, the grain yield was 3.80 &#xb1; 0.69&#xa0;t ha<sup>&#x2212;1</sup> with the traditional fertilizer rate and 3.42 &#xb1; 0.53&#xa0;t ha<sup>&#x2212;1</sup> with the reduced rate; higher than those reported in the literature (2.85 &#xb1; 0.81&#xa0;t ha<sup>&#x2212;1</sup>) (<xref ref-type="bibr" rid="B21">Hu et al., 2015</xref>; <xref ref-type="bibr" rid="B59">Yi et al., 2015</xref>). In contrast, the yield of wheat at Rugao was 6.15 &#xb1; 0.97&#xa0;t ha<sup>&#x2212;1</sup> with the traditional fertilizer rate and 4.48 &#xb1; 0.54&#xa0;t ha<sup>&#x2212;1</sup> with the reduced rate. The average of these (5.32&#xa0;t ha<sup>&#x2212;1</sup>) was comparable with that reported by <xref ref-type="bibr" rid="B23">Jiang et al. (2006)</xref> and <xref ref-type="bibr" rid="B34">Ma et al. (2010)</xref>. However, this is less than that recommended for food security (7.12&#xa0;t ha<sup>&#x2212;1</sup>) by <xref ref-type="bibr" rid="B5">Chen et al. (2014)</xref>. It might therefore be necessary to decrease the area of wheat planted in Jiangjin and Shayang and focus on other more productive crops (e.g., a green manure crop in Jiangjin and oilseed rape in Shayang), based on our results and predicted climate change. Statistics show that the cultivated area and yield of wheat in Chongqing has decreased: from 2011 to 2020, the cultivated wheat in Chongqing decreased by 80%, from 90,530 to 18,520&#xa0;ha, and the annual wheat grain production decreased by 78%, from 0.27 to 0.06 million tons (<xref ref-type="bibr" rid="B40">Ministry of Agriculture of the People&#x2019;s Republic of China, 2021</xref>). In the rice&#x2013;vegetable rotation at Jiangjin, the traditional fertilizer input produced a lower output (13.99 &#xb1; 2.77&#xa0;t ha<sup>&#x2212;1</sup>) than that measured in a previous study (29.90 &#xb1; 6.56&#xa0;t ha<sup>&#x2212;1</sup>) (<xref ref-type="bibr" rid="B1">Bai et al., 2009</xref>), and yields were much more variable. Reducing the fertilizer input reduced the yield (9.34 &#xb1; 0.21&#xa0;t ha<sup>&#x2212;1</sup>) but not significantly and yields were more stable. The average yield of savoy cabbage in the RV rotation at Rugao (30.21 &#xb1; 2.70&#xa0;t ha<sup>&#x2212;1</sup>) was also less than that in earlier experiments (48.69 &#xb1; 17.45&#xa0;t ha<sup>&#x2212;1</sup>) (<xref ref-type="bibr" rid="B10">Franczuk et al., 2010</xref>; <xref ref-type="bibr" rid="B11">Gai et al., 2016</xref>; <xref ref-type="bibr" rid="B36">Maucieri et al., 2017</xref>) and there was no significant difference between the two fertilizer levels (30.04 &#xb1; 2.00&#xa0;t ha<sup>&#x2212;1</sup> with traditional fertilizer and 30.38 &#xb1; 2.30&#xa0;t ha<sup>&#x2212;1</sup> with reduced fertilizer).</p>
<p>Vegetables had even greater yield variability than wheat across the three sites, suggesting significant risks if wheat was replaced by vegetables in winter. Specifically, the Jiangjin site is not suitable for wheat while the Shayang site is not suitable for vegetables if there is no drainage system (no harvested yield) in winter. Rugao achieved the highest wheat and vegetable yields of all the sites, reflecting the influence of soil fertility (Rugao &#x3e; Shayang &#x3e; Jiangjin), climate (sunshine in winter: Rugao &#x3e; Shayang &#x3e; Jiangjin; precipitation in winter: Rugao &#x3c; Shayang &#x3c; Jiangjin), and good field management [Rugao (hired/professional farmers) &#x3e; Shayang (half-professional farmers) &#x3e; Jiangjin (smallholder farmers)].</p>
<p>
<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref> show clearly how the <sup>15</sup>N recovered in the crops (wheat and vegetables) was influenced by fertilizer input. Reducing the fertilizer input resulted in higher fertilizer N uptake in the grain and smaller losses, except for the recoveries in the straw and roots of the MW rotation at Shayang. At the same time, N recovery was very low in wheat at Jiangjin due to the low yield caused by disease. Previous research had also demonstrated that reducing N inputs can increase N efficiency and decrease environmental impacts (<xref ref-type="bibr" rid="B5">Chen et al., 2014</xref>; <xref ref-type="bibr" rid="B59">Yi et al., 2015</xref>). Also, returning wheat straw to the soil can increase SOC stock (<xref ref-type="bibr" rid="B19">Hao et al., 2013</xref>; <xref ref-type="bibr" rid="B16">Guan et al., 2015</xref>), water capture and retention, microbial C and microbial N, the activities of cellulase and catalase (<xref ref-type="bibr" rid="B25">Li et al., 2018</xref>), and microbial and invertebrate activity (in particular earthworms) (<xref ref-type="bibr" rid="B48">van Gestel et al., 2003</xref>) and decrease soil pH (<xref ref-type="bibr" rid="B49">Walter et al., 1996</xref>). A wheat&#x2013;straw mulch on upland crops can ameliorate salinization, prevent water and wind erosion of soil (<xref ref-type="bibr" rid="B7">Dong and Qian, 2002</xref>), and reduce N uptake by weeds (<xref ref-type="bibr" rid="B29">Liu et al., 2005</xref>). We found that <sup>15</sup>N recovery in wheat/vegetable grain, straw, and roots in the YRB was increased by 41%, 48%, and 43% by reducing the fertilizer rate compared with the traditional fertilizer input used by farmers. We therefore recommend the reduction of the amount of fertilizer applied and returning the stubble to the field to improve soil quality and increase the recovery of fertilizer N.</p>
<p>The average fertilizer <sup>15</sup>N recoveries in the 0&#x2013;20&#xa0;cm soil layer were 16%, 17%, and 20% at the traditional fertilizer rate and 19%, 20%, and 21% with reduced fertilizer at Jiangjin, Shayang, and Rugao, respectively. The <sup>15</sup>N recovered in topsoil under the vegetable crops receiving traditional and reduced fertilizer applications was 36% and 19%, respectively, at Jiangjin and 36% and 20%, respectively, at Rugao. Overall, the percentage recoveries of residual <sup>15</sup>N in the topsoil (0&#x2013;20&#xa0;cm) out of the total recoveries in the 0&#x2013;40&#xa0;cm layer of soil under crops receiving the traditional and reduced fertilizer rates were 73% and 69%, respectively, at Jiangjin, 75% and 73%, respectively, at Shayang, and 88% and 83%, respectively, at Rugao. This was caused by runoff and leaching resulting from the abnormal amounts of precipitation during the application of basal fertilizer and topdressing. The higher soil residues observed at Jiangjin were because rainfall leaches N deep into the soil where soil colloids adsorb NH<sup>4&#x2b;</sup> (<xref ref-type="bibr" rid="B56">Xu et al., 2021</xref>). Also, soil pH values at Shayang and Rugao were 7.52 and 7.44, respectively, which resulted in more ammonia volatilization than at Jiangjin (<xref ref-type="bibr" rid="B20">Harrison and Webb, 2001</xref>; <xref ref-type="bibr" rid="B22">Huang et al., 2017</xref>).</p>
<p>
<xref ref-type="bibr" rid="B58">Yan et al. (2014)</xref> pointed out that N residues in soil following high N inputs can be taken up by subsequent crops and so should be considered as part of the available N. However, we found that fertilizer <sup>15</sup>N recovery in the soil of a wheat crop was significantly increased by 23% and 23% by reducing the fertilizer rate at Jiangjin and Shayang; the increase was 8% at Rugao, which was not significant. Thus, reducing N applications is still advisable. In contrast, the very high demand for N by vegetable crops resulted in less N remaining in the soil under the R treatment compared to the traditional fertilizer rate.</p>
<p>Overall, reducing the application of synthetic N fertilizer to a wheat/vegetable rotation in the YRB will reduce N losses to the environment (including runoff, leaching, and gaseous loss) (<xref ref-type="bibr" rid="B45">Tian et al., 2007</xref>; <xref ref-type="bibr" rid="B51">Wang et al., 2007</xref>; <xref ref-type="bibr" rid="B43">Qiao et al., 2012</xref>; <xref ref-type="bibr" rid="B54">Xu et al., 2012</xref>; <xref ref-type="bibr" rid="B57">Xue et al., 2014</xref>; <xref ref-type="bibr" rid="B62">Zhong et al., 2016</xref>; <xref ref-type="bibr" rid="B60">Zhang et al., 2017</xref>). We observed the maximum fertilizer N loss from the traditional fertilizer application to the MW rotation and the minimum loss from the reduced fertilizer application to the RW rotation (MW at Rugao). The large <sup>15</sup>N loss at Jiangjin resulted from the heavier rainfall over the growing period generating more N losses <italic>via</italic> surface runoff and leaching (<xref ref-type="bibr" rid="B53">Xie et al., 2019</xref>; <xref ref-type="bibr" rid="B27">Liu et al., 2020</xref>). Also, the higher temperature at Jiangjin triggers more NH<sub>3</sub> volatilization (<xref ref-type="bibr" rid="B56">Xu et al., 2021</xref>). More fertilizer N remained in the vegetable plots than in the wheat plots after harvest of both crops in Jiangjin and Rugao. This can be explained by the much earlier harvest date of vegetables at Jiangjin and/or two additional topdressings at both sites (see <xref ref-type="table" rid="T3">Table 3</xref>), providing more opportunities for <sup>15</sup>N labeled fertilizer to be retained in the soils growing vegetables.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Research in the winter growing season at three sites in the YRB supports our conclusion that reducing the application of N fertilizer is an effective way of balancing sustainable crop yields for a secure food supply and environmental benefit. A 50% reduction of the N applied to wheat and vegetables maintained the wheat yields at Jiangjin and Shayang and vegetable yields at Jiangjin and Rugao. However, the yields of wheat at Rugao were reduced. More (27%) fertilizer N was retained in the soil (0&#x2013;40&#xa0;cm) and recycled to the next rice/maize crop, and there was a 25% reduction of fertilizer N loss compared with traditional N use. This confirms the importance of reducing N inputs to crop rotations in the YRB. Moreover, the yield gap of three sites proved that the agricultural infrastructure (e.g., drainage system) and management (e.g., hired/professional farmers) have substantial effects on yield in the YRB. More research is needed to optimize crop rotations across the whole crop production season for better whole system productivity, N use efficiency, and less environmental impact. Such integrated analyses are vital if the YRB is to adapt to predicted global climate change and regional green development within the Yangtze Economic Zone. In the future, we aim to quantify all N inputs (including atmospheric deposition and manures as well as fertilizer) and outputs (including crop uptake, losses to surface and groundwater, and gaseous loss) and, synthesizing the relevant data (including yield and future food demands), to recommend optimal rotations for the different regions of the YRB.</p>
</sec>
</body>
<back>
<sec id="s6">
<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 author.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>SW, FSZ, and XJL contributed to the conception of the study; SW, LSY, SPL, and BS performed the experiment; SW, KG, and XJL contributed significantly to analysis and manuscript preparation; SW performed the data analyses and wrote the manuscript; SW, XJS, JWL, SWG, JBS, KG, and XJL helped perform the analysis with constructive discussions.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study was supported by the State Key Basic Research Programme (2017YFD0200100), the National Natural Science Foundation of China (41425007), the Sino-UK CINAg program (BBSRC project BB/N013468/1), and the High-level Team Project of China Agricultural University.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>SW was employed by the company Huaneng Renewable Corporation Limited.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>We would like to thank Southwest University, Huazhong Agricultural University, Nanjing Agricultural University, and Key Lab of Plant-Soil Interaction, MOE, Center for Resources, Environment and Food Security, College Resources and Environmental Sciences, China Agricultural University, Beijing, China for the support of the field and lab work. We are grateful to the help from Xin Ma, Minmin Su, Tianxiang Hao, Xiaoqing Cui, Wei Wang, and Chongjing Guo at China Agricultural University.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
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