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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.2022.1105006</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>Suitable split nitrogen application increases grain yield and photosynthetic capacity in drip-irrigated winter wheat (<italic>Triticum aestivum</italic> L.) under different water regimes in the North China Plain</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hamani</surname>
<given-names>Abdoul Kader Mounkaila</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1504011"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Abubakar</surname>
<given-names>Sunusi Amin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1508600"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Si</surname>
<given-names>Zhuanyun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2109634"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kama</surname>
<given-names>Rakhwe</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2112660"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gao</surname>
<given-names>Yang</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/656179"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Duan</surname>
<given-names>Aiwang</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/463153"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs/Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences</institution>, <addr-line>Xinxiang, Henan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Agricultural and Bioresource Engineering, Abubakar Tafawa Balewa University</institution>, <addr-line>Bauchi</addr-line>, <country>Nigeria</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Haijun Gong, Northwest A&amp;F University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Shakeel Ahmad, Guangxi University, China; Mohamed Sheteiwy, Mansoura Universiy, Egypt</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yang Gao, <email xlink:href="mailto:gaoyang@caas.cn">gaoyang@caas.cn</email>; Aiwang Duan, <email xlink:href="mailto:duanaiwang@aliyun.com">duanaiwang@aliyun.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Plant Nutrition, a section of the journal Frontiers in Plant Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1105006</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Hamani, Abubakar, Si, Kama, Gao and Duan</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Hamani, Abubakar, Si, Kama, Gao and Duan</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>Chemical fertilizer overuse is a major environmental threat, critically polluting soil and water resources. An optimization of nitrogen (N) fertilizer application in winter wheat (<italic>Triticum aestivum</italic> L.) in association with various irrigation scheduling is a potential approach in this regard. A 2-year field experiment was carried out to assess the growth, yield and photosynthetic capacity of drip-irrigated winter wheat subjected to various split applications of urea (240&#xa0;kg ha<sup>&#x2212;1</sup>, 46% N). The eight treatments were, two irrigation scheduling and six N application modes in which, one slow-release fertilizer (SRF). Irrigation scheduling was based on the difference between actual crop evapotranspiration and precipitation (ETa-P). The two irrigation scheduling were I<sub>45</sub> (Irrigation scheduling when ETa-P reaches 45&#xa0;mm) and I<sub>30</sub> (Irrigation scheduling when ETa-P reaches 30&#xa0;mm). The six N levels were N<sub>0-100</sub> (100% from jointing to booting), N<sub>25-75</sub> (25% during sowing and 75% from jointing to booting), N<sub>50-50</sub> (50% during sowing and 50% from jointing to booting), N<sub>75-25</sub> (75% during sowing and 25% from jointing to booting), N<sub>100-0</sub> (100% during sowing), and SRF<sub>100</sub> (240<sub>&#xa0;kg</sub> ha<sup>&#x2212;1</sup>, 43% N during sowing). N top-dressing application significantly (<italic>P&lt;</italic>0.05) influenced wheat growth, aboveground biomass (ABM), grain yield (GY) and its components, photosynthetic and chlorophyll parameters, and plant nutrient content. According to the averages of the two winter wheat-growing seasons, the I<sub>45</sub>N<sub>50-50</sub> and I<sub>45</sub>SRF<sub>100</sub> treatments, respectively had the highest GY (9.83 and 9.5&#xa0;t ha<sup>&#x2212;1</sup>), ABM (19.91 and 19.79&#xa0;t ha<sup>&#x2212;1</sup>), net photosynthetic rate (35.92 and 34.59 &#xb5;mol m<sup>&#x2212;2</sup>s<sup>&#x2212;1</sup>), stomatal conductance (1.387 and 1.223&#xa0;mol m<sup>&#x2212;2</sup>s<sup>&#x2212;1</sup>), <italic>SPAD</italic> (69.33 and 64.03), and chlorophyll fluorescence <italic>F<sub>V</sub>/F<sub>M</sub>
</italic> (8.901 and 8.922). The present study provided convincing confirmation that N applied equally in splits at basal-top-dressing rates could be a desirable N application mode under drip irrigation system and could economically compete with the costly SRF for winter wheat fertilization. The I<sub>45</sub>N<sub>50-50</sub> treatment offers to farmers an option to sustain wheat production in the NCP.</p>
</abstract>
<kwd-group>
<kwd>drip-fertigation</kwd>
<kwd>split N application</kwd>
<kwd>wheat yield</kwd>
<kwd>photosynthetic capacity</kwd>
<kwd>chlorophyll fluorescence</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="7"/>
<equation-count count="5"/>
<ref-count count="65"/>
<page-count count="18"/>
<word-count count="7812"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The North China Plain (NCP) is among China&#x2019;s most essential winter wheat-producing areas and winter wheat (<italic>Triticum aestivum</italic> L.) is one of china&#x2019;s most important grain crops (<xref ref-type="bibr" rid="B19">Gui et&#xa0;al., 2021</xref>). As stated in 2018 by the National Bureau of Statistics of China, the NCP represents ~ 25% of the country&#x2019;s overall agricultural land, ~ 55% of the country&#x2019;s overall wheat production area, contributing about 71% of total wheat production, and plays a key role in China&#x2019;s wheat production (<xref ref-type="bibr" rid="B56">Ye et&#xa0;al., 2022</xref>). However, the NCP receives an annual rainfall of 500-700&#xa0;mm, especially in the summer, and little rainfall during the wheat-growing season, which is insufficient for winter wheat growth and development (<xref ref-type="bibr" rid="B41">Qu et&#xa0;al., 2019</xref>). Thus, supplemental irrigation is necessary in the region for the dry-winter and spring seasons to increase wheat yields, which deplete groundwater and negatively affect the environment (<xref ref-type="bibr" rid="B30">Li et&#xa0;al., 2008</xref>). In the NCP, an irrigation system with high-performance, for example drip irrigation systems, are generally recommended to overtake environmental problems because they are more performant than outdated irrigation systems (<xref ref-type="bibr" rid="B21">Jha et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B57">Zain et&#xa0;al., 2021</xref>).</p>
<p>Drip irrigation, as an example of important water-saving irrigation techniques, is beneficial in water-fertilizer resource management (<xref ref-type="bibr" rid="B22">Jha et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B55">Yan et&#xa0;al., 2019</xref>). Furthermore, drip irrigation enhances crop yield and reduces crop water requirement, tillage costs as well as fertilization doses. <xref ref-type="bibr" rid="B46">Sun et&#xa0;al. (2022)</xref> reported that drip irrigation provides crop rhizosphere with sufficient moisture leading to an increase in crop yield. Several studies demonstrated that drip irrigation has a great potentiality for a sustainable development of agricultural in NCP (<xref ref-type="bibr" rid="B45">Si et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B57">Zain et&#xa0;al., 2021</xref>). To date, drip irrigation has been efficient for large-scale and low-densitycrops, including cotton (<xref ref-type="bibr" rid="B47">Tayel and Mansour, 2013</xref>), cash crops (<xref ref-type="bibr" rid="B26">Kirda et&#xa0;al., 2007</xref>), corn (<xref ref-type="bibr" rid="B28">Lamm and Trooien, 2003</xref>), and fruit production (<xref ref-type="bibr" rid="B15">El-Sayed and El-Hagarey, 2014</xref>). However, drip irrigation system with a great water-fertilizer use efficiency is rarely applied to small-scale and high-density crops such as wheat (<xref ref-type="bibr" rid="B9">Bozkurt et&#xa0;al., 2006</xref>). Recent studies indicate that irrigation and nitrogen (N) management are required to promote the NCP&#x2019;s wheat production (<xref ref-type="bibr" rid="B57">Zain et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B46">Sun et&#xa0;al., 2022</xref>).</p>
<p>The application of fertilizer is another essential input that significantly improves yield and nutritional quality. However, excessive N application results in more than 50% N loss to the environment, which subsequently leads to environmental pollution (<xref ref-type="bibr" rid="B7">Ashraf et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B3">Adeel et&#xa0;al., 2021</xref>). As a necessary macronutrient, N is needed frequently and in greater quantities than any nutrient (<xref ref-type="bibr" rid="B40">Pan et&#xa0;al., 2019</xref>). When N fertilizer is used strategically during wheat production, it could extend the grain-filling stage and increase photosynthetic capacity, thus increasing grain yield (<xref ref-type="bibr" rid="B60">Zhang et&#xa0;al., 2020</xref>). However, it was demonstrated that excessive N application induces an increase in N loss and a reduction in grain yield (<xref ref-type="bibr" rid="B49">Tian et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B63">Zhao et&#xa0;al., 2019</xref>). Previous studies observed that top-dressing N applications can increase grain yield compared to basal application and have revealed that basal N fertilizer application resulted in substantial N loss <italic>via</italic> volatilization (<xref ref-type="bibr" rid="B8">Blandino et&#xa0;al., 2015</xref>). Further research has revealed that the highest grain yield obtained the application of a 4:4:2 ratio during the sowing, jointing, and anthesis stages were 11.01% and 9.60% greater than those with a ratio of 6:4 and 4:6 applied during the sowing and the joining stage under conditions where the overall N amount applied was 202.5&#xa0;kg ha<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B12">Chen et&#xa0;al., 2018b</xref>). Furthermore, slow-release fertilizers (SRFs) are also a category of fertilizer, which contain nutrients (especially N) that are dissolved in water slowly or released slowly (<xref ref-type="bibr" rid="B6">Al-Rawajfeh et&#xa0;al., 2021</xref>).</p>
<p>Slow-release fertilizers are a type of fertilizer, which are recognized globally (<xref ref-type="bibr" rid="B6">Al-Rawajfeh et&#xa0;al., 2021</xref>). SRFs have low nutrient diversion loss and gradual nutrient release, which is beneficial for crop nutrient uptake and utilization (<xref ref-type="bibr" rid="B42">Shan et&#xa0;al., 2022</xref>). Slow-release N fertilizer can meet crops&#x2019; overall nutritional requirements of during their growth, decrease the volatilization of ammonia in the field, increase N application efficiency, and decrease environmental contamination (<xref ref-type="bibr" rid="B42">Shan et&#xa0;al., 2022</xref>). Crop yields, growth, and development, as well as product quality, can all be improved with SRFs (<xref ref-type="bibr" rid="B11">Chen et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B2">Abubakar et&#xa0;al., 2022</xref>). Although, SRFs are costly, many farmers cannot afford them. The COVID outbreak has caused a dramatic increase in fertilizer prices, further driving up the price of agricultural inputs. According to <xref ref-type="bibr" rid="B61">Zhang et&#xa0;al. (2022)</xref>, there was insufficient evidence to prove that SRFs could completely substitute split N application strategies during wheat production. It is imperative to develop a management strategy that can substitute the conventional fertilization method, either by switching urea for SRFs or by implementing drip-fertigation methods. However, food security may be in peril as the output of food production declines.</p>
<p>Nitrogen is an essential factor for achieving high crop yields due to its impact on the leaf&#x2019;s photosynthetic capacity (<xref ref-type="bibr" rid="B39">Olszewski et&#xa0;al., 2014</xref>). N deficit reduces the capacity of photosystems II and I to transport electrons, which eventually reduces the conversion of photochemical energy. Chlorophyll and photosynthetic capacity are both affected (<xref ref-type="bibr" rid="B65">&#x17d;iv&#x10d;&#xe1;k et&#xa0;al., 2015</xref>). N fertilization directly influences growth, and net photosynthetic rate, and eventually affects yield (<xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2021</xref>). Optimized N fertilizer application is helpful to enhance wheat leaves&#x2019; ability in increasing the <italic>PSII</italic> open part&#x2019;s ratio and subsequently boost the net photosynthetic rate (<xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2021</xref>). Limited studies are available on the influences of N fertilizers on wheat&#x2019;s photosynthetic mechanisms. Under conditions of sufficient soil moisture, the 195&#xa0;kg N ha<sup>&#x2212;1</sup> treatment photosynthetic capacity was greatly increased compared to that of 0&#xa0;kg N ha<sup>&#x2212;1</sup>, leading to an increased grain yield (<xref ref-type="bibr" rid="B64">Zheng et&#xa0;al., 2021</xref>). <xref ref-type="bibr" rid="B53">Yang et&#xa0;al. (2022)</xref> reported that it is also crucial to enhance leaf photosynthesis coupled with N use efficiency (NUE), including N utilisation efficiency and N uptake efficiency. Thus, it is important to investigate the response of photosynthetic characteristics to N fertilizer application under supplementary irrigation conditions.</p>
<p>For optimal agricultural productivity, a proper irrigation schedule and N application modes are crucial. Even though significant work has been done on irrigation scheduling and N application modes during wheat production (<xref ref-type="bibr" rid="B45">Si et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B57">Zain et&#xa0;al., 2021</xref>). However, deep knowledge of split N application modes under various drip irrigation scheduling in winter wheat is still lacking. Thus, the objectives of this study were (1) to evaluate the changes in leaf gas exchange and chlorophyll fluorescence of winter wheat after anthesis in response to various drip irrigation scheduling and N application rates; (2) to evaluate the influences of different drip irrigation and N scheduling on winter wheat growth and yield; (3) and to find out the optimal drip irrigation scheduling and top-dressing N ratio for suitable wheat production in the NCP. The hypothesis of the current study is that equal split N application at basal-top-dressing rates can sustain or improve wheat physiological growth, aboveground biomass accumulation and yield under the irrigation regime of 45&#xa0;mm compared to the irrigation quota of 30&#xa0;mm. The outcomes of the present study will give insights into how drip-irrigated winter wheat&#x2019;s performance can be improved by adjusting an integrated irrigation and N fertilizer management.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Experimental site and climatic condition</title>
<p>The two consecutive winter wheat seasons (2020-2021 and 2021-2022) experiments were conducted at Qiliying Research Site of the Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences in Xinxiang City, Henan Province, in the NCP (35&#xb0;08&#x2019;N, 113&#xb0; 45&#x2019;E; altitude 81&#xa0;m). Warm temperate continental monsoon weather prevails in the area, with an annual average precipitation of 578&#xa0;mm (~80% of which fall between June and October) and an average precipitation of 161&#xa0;mm during the wheat-growing season (<xref ref-type="bibr" rid="B45">Si et&#xa0;al., 2020</xref>). The overall seasonal precipitation in 2020/2021 and 2021-2022 was 87 and 90.5&#xa0;mm, respectively. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> shows the monthly averages of minimum and maximum temperatures and precipitation for the two wither wheat-growing years. The soil in the research site is a sandy loam. <xref ref-type="bibr" rid="B57">Zain et&#xa0;al. (2021)</xref> provided the the experimental area soil&#x2019;s physical, and chemical characteristics.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Monthly rainfall and maximum, and minimum temperature during the winter wheat growing season in 2020-2021 and 2021-2022.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-1105006-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Experimental design and crop management</title>
<p>The winter wheat (<italic>Triticum Aestivum</italic> L.) cultivar sown was a high-yielding variety (Aikang 58) purchased from Danneng Agricultural Materials Company in Xinxiang city; Henan province; P.R China,. The wheat sowing density was 180&#xa0;kg ha<sup>&#x2212;1</sup> (at a normal germination rate with 350-400 plants/m<sup>2</sup>). Two factorial field experiment was conducted adopting a randomized complete block design. The first factor, is the irrigation scheduling with two treatments, while, the second factor is the N application modes with six treatments, including a single treatment of slow-release N-fertilizer (SRF). A total of twelve (2*6) treatments are settled as detailed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Each treatment was replicated three times. The two irrigation levels were I<sub>45</sub> (Irrigation scheduling when ETa-P reaches 45&#xa0;mm) and I<sub>30</sub> (Irrigation scheduling when ETa-P reaches 30&#xa0;mm). The six-nitrogen levels were N<sub>0-100</sub>, N<sub>25-75</sub>, N<sub>50-50</sub>, N<sub>75-25</sub>, N<sub>100-0</sub>, and SRF<sub>100</sub>. <xref ref-type="bibr" rid="B13">Duan et&#xa0;al. (2019)</xref> and <xref ref-type="bibr" rid="B45">Si et&#xa0;al. (2020)</xref> recommended the N (urea) application rate of 240&#xa0;kg ha<sup>&#x2212;1</sup> for winter wheat production. The details of the fertilization schedules are given in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. The blocks were divided by 0.5&#xa0;m access lines, and the plot was 15&#xa0;m by 3&#xa0;m. Using a tractor-drawn rotary cultivator, the soil was cultivated to a depth of 20&#xa0;cm, and then leveled with a harrow. The sowing of winter wheat occurred on October 24, 2020, and October 22, 2021. The harvest dates were June 2, 2020, and June 3, 2021. Urea (46% N), calcium superphosphate (16% P<sub>2</sub>O<sub>5</sub>), and potassium sulfate (50% K<sub>2</sub>O) were used to apply N, P, and K fertilizers, respectively. At sowing, P and K fertilizers were applied at the rate of 120&#xa0;kg ha<sup>&#x2212;1</sup>, while N was applied at the sowing, jointing, and booting stages of wheat growth.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Experimental treatment labels with different irrigation scheduling and nitrogen application modes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left">Treatment label</th>
<th valign="middle" align="center">Signification</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">I<sub>30</sub>
</td>
<td valign="top" align="left">Irrigation scheduling when ETa-P reaches 30 mm</td>
</tr>
<tr>
<td valign="middle" align="left">I<sub>45</sub>
</td>
<td valign="top" align="left">Irrigation scheduling when ETa-P reaches 45 mm</td>
</tr>
<tr>
<td valign="middle" align="left">N<sub>0-100</sub>
</td>
<td valign="top" align="left">100% of N at jointing/booting</td>
</tr>
<tr>
<td valign="middle" align="left">N<sub>25-75</sub>
</td>
<td valign="top" align="left">25% of N at sowing, and 75% of N at jointing/booting</td>
</tr>
<tr>
<td valign="middle" align="left">N<sub>50-50</sub>
</td>
<td valign="top" align="left">50% of N at sowing, and 50% of N at jointing/booting</td>
</tr>
<tr>
<td valign="middle" align="left">N<sub>75-25</sub>
</td>
<td valign="top" align="left">75% of N at sowing, and 25% of N at jointing/booting</td>
</tr>
<tr>
<td valign="middle" align="left">N<sub>100-0</sub>
</td>
<td valign="top" align="left">100% of N at sowing</td>
</tr>
<tr>
<td valign="middle" align="left">SRF<sub>100</sub>
</td>
<td valign="top" align="left">100% of slow-release fertilizer (SRF, 43% N, 240&#xa0;kg ha<sup>&#x2212;1</sup>) at sowing</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Fertilizer application schedules of the experimental treatments.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Fertilization events</th>
<th valign="top" colspan="6" align="center">Fertilizer application rate (kg ha<sup>-1</sup>)</th>
</tr>
<tr>
<th valign="top" align="center">N<sub>0-100</sub>
</th>
<th valign="top" align="center">N<sub>25-75</sub>
</th>
<th valign="top" align="center">N<sub>50-50</sub>
</th>
<th valign="top" align="center">N<sub>75-25</sub>
</th>
<th valign="top" align="center">N<sub>100-0</sub>
</th>
<th valign="top" align="center">SRF<sub>100</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">sowing</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">180</td>
<td valign="top" align="center">240</td>
<td valign="top" align="center">240</td>
</tr>
<tr>
<td valign="top" align="left">jointing stage</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">booting stage</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<title>Irrigation and fertigation methods</title>
<p>Installation of a surface drip irrigation system with 60&#xa0;cm lateral irrigation line spacing was done with drippers 20&#xa0;cm spaced along the laterals. The discharge rate of drippers was 2.2 L h<sup>&#x2212;1</sup> at 0.10&#x2013;0.15 MPa working pressure. Each plot had a flow meter installed to control the amount of irrigation water released. Eq. (1) was used to calculate crop evapotranspiration between two irrigation episodes:</p>
<disp-formula>
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>a</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>c</mml:mi>
</mml:msub>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mi>E</mml:mi>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>o</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>ET<sub>a</sub>
</italic> = Actual crop evapotranspiration (mm d<sup>&#x2212;1</sup>), <italic>K<sub>c</sub>
</italic> = Crop coefficient (according to <xref ref-type="bibr" rid="B18">Gao et&#xa0;al. (2009)</xref>), early season, mid-season, and late season <italic>K<sub>c</sub>
</italic>are 0.36, 1.19, and 0.28, respectively). The reference evapotranspiration (<italic>ET<sub>o</sub>
</italic>) was determined following <xref ref-type="bibr" rid="B5">Allen et&#xa0;al. (1998)</xref>. The irrigation necessity (I) was computed using Equation (2):</p>
<disp-formula>
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mi>I</mml:mi>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mi>E</mml:mi>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>a</mml:mi>
</mml:msub>
<mml:mo>&#x2013;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mi>R</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>f</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Irrigation episodes occurred whenever the overall I reached 45 or 30&#xa0;mm depending on experimental treatments as suggested by <xref ref-type="bibr" rid="B44">Shen et&#xa0;al. (2020)</xref>.</p>
<p>Using a closed-tank fertigation system, topdressing fertilization occurred during the winter wheat jointing/booting stages (<xref ref-type="bibr" rid="B2">Abubakar et&#xa0;al., 2022</xref>). The SRF used in this study was produced through the polymer coating process. The coating material was polyolefin polymer resin with talcum powder as an additive. The SRF coating accounted for 5.6% of the SRF mass, the N concentration was 43%, and the release duration was 30 days (the required number of days for the SRF to release 80% of its N at 25&#x2da;C).</p>
</sec>
<sec id="s2_4">
<title>Field sampling and measurements</title>
<sec id="s2_4_1">
<title>Determination of growth and yield-related parameters</title>
<p>Plant height was measured from the ground surface to plant&#x2019;s tip. The spikelet was included in the plant height during the later stages of wheat growth. Winter wheat plant height and leaf area index (LAI) were recorded at 10 to 15-day intervals from 10 randomly selected plants in each plot. The method described by <xref ref-type="bibr" rid="B57">Zain et&#xa0;al. (2021)</xref> was used to calculate LAI. A ruler was used to measure the leaf&#x2019;s length and width of each leaf from the 10 randomly selected plants, and the leaf area per plant (LA) was determined using the following equation and presented in m<sup>2</sup>:</p>
<disp-formula>
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mtext>Leaf&#xa0;area&#xa0;per&#xa0;plant&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mtext>A</mml:mtext>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mfrac>
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mtext>i&#xa0;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:msubsup>
<mml:msub>
<mml:mtext>A</mml:mtext>
<mml:mtext>i</mml:mtext>
</mml:msub>
</mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mfrac>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mfrac>
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mtext>i&#xa0;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:msubsup>
<mml:mrow>
<mml:mo>[</mml:mo>
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mtext>j&#xa0;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mtext>m</mml:mtext>
</mml:msubsup>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>&#xa0;L</mml:mtext>
</mml:mrow>
<mml:mtext>i</mml:mtext>
</mml:msub>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mtext>&#xa0;W</mml:mtext>
</mml:mrow>
<mml:mtext>j</mml:mtext>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>0.80</mml:mn>
</mml:mrow>
<mml:mo>]</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mtext>n</mml:mtext>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mtext>LAI&#xa0;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mfrac>
<mml:mrow>
<mml:mtext>A&#xa0;</mml:mtext>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>&#xa0;N</mml:mtext>
</mml:mrow>
<mml:mtext>s</mml:mtext>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where n denotes the number of plant samples used to calculate LA (n = 10); A<sub>i</sub> is the leaf area of the i<sup>th</sup> plant; m is the number of leaves in the i<sup>th</sup> plant, and L<sub>j</sub> and W<sub>j</sub> are the length and width of the j<sup>th</sup> leaf in the i<sup>th</sup> plant (both in cm). N denotes the number of plants (including tillers) in 1&#xa0;m of the row, and S denotes row spacing (S = 0.2&#xa0;m). At harvest, 10 plants in each plot were taken to determine plant height, and yield components, including spike length, the number of grains per spike, thousand-grain weight, and the number of grains per 10 plants. Finally, for each experimental plot, a plants&#x2019; 1 m<sup>2</sup> area was sampled to determine the grain yield (t ha<sup>&#x2212;1</sup>) and aboveground biomass (t ha<sup>&#x2212;1</sup>). Each experimental plots&#x2019; grain yield was determined by weighing grains after naturally dried to 12% moisture content. The harvest index (HI) was calculated using the following equation:</p>
<disp-formula>
<label>(5)</label>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mi>H</mml:mi>
<mml:mi>I</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>G</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>n</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>y</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>d</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>h</mml:mi>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mi>b</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>v</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>d</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>b</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>s</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>h</mml:mi>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_4_2">
<title>Determination of gas exchange and chlorophyll parameters</title>
<p>Gas exchange characteristics, such as net photosynthetic rate (<italic>A<sub>n</sub>
</italic>) and stomatal conductance (<italic>g<sub>s</sub>
</italic>), were recorded using the LI-6400XT portable gas exchange measuring system (LI-COR, Lincoln Nebraska, USA). Three selected leaves in each plot were measured between 9:00 and 11:00 am at 0, 7, 14, 21, and 28 days after anthesis (DAA) under the condition of 25&#xb0;C, 400 &#x3bc;mol mol<sup>&#x2212;1</sup> CO<sub>2</sub> concentration, 500 &#x3bc;mol s<sup>&#x2212;1</sup> flow rate, and 1300&#xa0;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup> leaf chambers&#x2019; photosynthetic active radiation (<xref ref-type="bibr" rid="B64">Zheng et&#xa0;al., 2021</xref>). The intrinsic water use efficiency (WUEi) was computed as <italic>A<sub>n</sub>
</italic>/<italic>g<sub>s</sub>
</italic>. A Minolta SPAD-502 Chlorophyll Meter was used to determine the chlorophyll content, which determines SPAD values proportional to the chlorophyll content according to the leaf transmittance (<xref ref-type="bibr" rid="B37">Mehrabi and Sepaskhah, 2022</xref>). After dark adaptation for 30&#xa0;min, the maximum quantum efficiency (<italic>F<sub>V</sub>
</italic>/<italic>F<sub>M</sub>
</italic>) was determined according to <xref ref-type="bibr" rid="B52">Xu et&#xa0;al. (2017)</xref>.</p>
</sec>
<sec id="s2_4_3">
<title>Determination of plant nutrient content</title>
<p>Plant nutrient content, including total nitrogen (TN), total phosphorus (TP), and total potassium (TK) was determined at the Key Laboratory of Crop Water Use and Regulation, Institute of Farmland Irrigation/Chinese Academy of Agricultural Sciences, Xinxiang, Henan, P.R. China. TN content was determined in plant samples using the Kjeldhal method, as described by <xref ref-type="bibr" rid="B10">Bremner (1996)</xref>. TP concentration was measured using a standard method (<xref ref-type="bibr" rid="B38">Misra, 1968</xref>). Plant TK concentration was extracted using a mixture of HNO<sub>3</sub>
<sup>&#x2212;</sup>H<sub>2</sub>SO<sub>4</sub>
<sup>&#x2212;</sup>HCLO<sub>4</sub> by digestion and determined using a flame photometer as described by <xref ref-type="bibr" rid="B20">Jackson (1973)</xref>.</p>
</sec>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>Standard ANOVA was used to perform the statistical analysis in SPSS 22.0. The least significant difference (LSD) test was used to compare the treatments among each other at a significance level of 0.05. Two-way ANOVA was performed where irrigation scheduling and N application modes were used as the main factors. Person&#x2019;s correlation was used to evaluate the relationship between the wheat grain yield and various parameters. The graphs were constructed using Origin-Pro 2021b (Origin Lab, Northampton, MA, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Seasonal variation of crop growth</title>
<p>The temporal variations in plant growth parameters (plant height and leaf area index) of winter wheat under various N and irrigation scheduling during the 2020-2021 and 2021-2022 growing seasons are presented in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>. The curves of plant height shows similar trend under the various N and irrigation scheduling during both wheat-growing seasons (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). From all the experimental treatments, plant height increases from sowing to reach its maximum at the maturity of winter wheat. At winter wheat maturity, the highest plant height was observed in SRF<sub>100</sub> treatment under both irrigation regimes and during both growing seasons. The lowest plant height was obtained with N<sub>0-100</sub> treatment under both irrigation regime and during both growing seasons (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Variation of plant height under different irrigation scheduling and nitrogen application modes during 2020-2021 and 2021-2022 winter wheat-growing seasons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-1105006-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Variation of leaf area index under different irrigation scheduling and nitrogen application modes during 2020-2021 and 2021-2022 winter wheat-growing seasons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-1105006-g003.tif"/>
</fig>
<p>The curves for leaf area index (LAI) showed similar patterns under the various N and irrigation scheduling during both wheat-growing seasons (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). With all the experimental treatments, LAI increases from sowing to reach its maximum at around 120 Julian days of the growing season and then decrease. At winter wheat maturity, the highest LAI was observed in N<sub>50-50</sub> treatment under both irrigation regimes and during both growing seasons. The lowest LAI index was observed in N<sub>0-100</sub> treatment at early growth stages (returning green and jointing) under the different irrigation scheduling and during both growing seasons (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The optimum variations in plant height and LAI were observed from the I<sub>45</sub>N<sub>50-50</sub> treatment during both winter wheat growing seasons.</p>
</sec>
<sec id="s3_2">
<title>Grain yield and its components</title>
<p>Different N and irrigation scheduling significantly (<italic>P&lt;</italic>0.05) affect grain yield during the two winter wheat growing seasons (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). During both winter wheat-growing seasons, the I<sub>45</sub>N<sub>50-50</sub> treatment showed the highest grain yield with 9.72 and 9.94&#xa0;t ha<sup>&#x2212;1</sup> in 2020-2021 and 2021-2022, respectively. The grain yield of I<sub>45</sub>N<sub>50-50</sub> and I<sub>45</sub>SRF<sub>100</sub> were significantly (<italic>P&lt;</italic>0.05) similar during both seasons. The lowest grain yield was obtained with the I<sub>30</sub>N<sub>0-100</sub> during both growing seasons with 7.08 and 7.53&#xa0;t ha<sup>&#x2212;1</sup> in 2020-2021 and 2021-2022, respectively. Across the two winter wheat-growing seasons, different irrigation scheduling and N application modes significantly affected winter wheat grain yield, but their interaction was insignificant (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Influence of different irrigation scheduling and nitrogen application modes on winter wheat grain yield (t ha<sup>&#x2212;1</sup>) during 2020-2021 and 2021-2022 growing seasons.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Season</th>
<th valign="middle" align="center">Treatment</th>
<th valign="middle" align="center">N<sub>0-100</sub>
</th>
<th valign="middle" align="center">N<sub>25-75</sub>
</th>
<th valign="middle" align="center">N<sub>50-50</sub>
</th>
<th valign="middle" align="center">N<sub>75-25</sub>
</th>
<th valign="middle" align="center">N<sub>100-0</sub>
</th>
<th valign="middle" align="center">SRF<sub>100</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">I<sub>45</sub>
</td>
<td valign="middle" align="center">7.23<sup>de</sup>
</td>
<td valign="middle" align="center">9.02<sup>ab</sup>
</td>
<td valign="middle" align="center">9.72<sup>a</sup>
</td>
<td valign="middle" align="center">8.23<sup>bcd</sup>
</td>
<td valign="middle" align="center">8.11<sup>bcde</sup>
</td>
<td valign="middle" align="center">9.12<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">I<sub>30</sub>
</td>
<td valign="middle" align="center">7.08<sup>e</sup>
</td>
<td valign="middle" align="center">8.07<sup>bcde</sup>
</td>
<td valign="middle" align="center">8.53<sup>bc</sup>
</td>
<td valign="middle" align="center">7.59<sup>cde</sup>
</td>
<td valign="middle" align="center">7.51<sup>cde</sup>
</td>
<td valign="middle" align="center">8.11<sup>bcde</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">2020-2021</td>
<td valign="middle" align="center">I</td>
<td valign="middle" colspan="6" align="center">**</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">N</td>
<td valign="middle" colspan="6" align="center">***</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">I &#xd7; N</td>
<td valign="middle" colspan="6" align="center">ns</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">I<sub>45</sub>
</td>
<td valign="middle" align="center">7.79 <sup>cd</sup>
</td>
<td valign="middle" align="center">9.43<sup>ab</sup>
</td>
<td valign="middle" align="center">9.94<sup>a</sup>
</td>
<td valign="middle" align="center">8.79<sup>abcd</sup>
</td>
<td valign="middle" align="center">8.66<sup>abcd</sup>
</td>
<td valign="middle" align="center">9.88<sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">2021-2022</td>
<td valign="middle" align="center">I<sub>30</sub>
</td>
<td valign="middle" align="center">7.53<sup>d</sup>
</td>
<td valign="middle" align="center">8.54 <sup>bcd</sup>
</td>
<td valign="middle" align="center">9.01<sup>abc</sup>
</td>
<td valign="middle" align="center">7.87<sup>cd</sup>
</td>
<td valign="middle" align="center">8.09<sup>cd</sup>
</td>
<td valign="middle" align="center">8.66<sup>abcd</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">I</td>
<td valign="middle" colspan="6" align="center">**</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">N</td>
<td valign="middle" colspan="6" align="center">**</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">I &#xd7; N</td>
<td valign="middle" colspan="6" align="center">ns</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>I; Irrigation level, N; Nitrogen application mode, Each value indicates the mean of three replicates and the different letters within the row and column represent a significant difference at P&lt; 0.05. Significance level = ns (non-significant at P&lt; 0.05), * (P&lt; 0.05), ** (P&lt; 0.01), and *** (P&lt; 0.001).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Data given in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> presents the influence of different irrigation scheduling and N application modes on winter wheat yield components during the two consecutive growing seasons. Compared with the N<sub>100-0</sub> treatment under different irrigation regimes and during both growing seasons, the split applications of N significantly (<italic>P&lt;</italic>0.05) increased yield components, including spike length (SL), number of grains per spike (GS), and thousand-grain weight (TGW). I<sub>45</sub>N<sub>50-50</sub> treatment significantly (<italic>P&lt;</italic>0.05) increased the number of grains per 10 plants (G 10 plants<sup>&#x2212;1</sup>) when compared to I<sub>45</sub>N<sub>0-100</sub>, I<sub>30</sub>N<sub>0-100</sub>, and I<sub>30</sub>N<sub>100-0</sub> during both winter wheat-growing seasons. Across the two winter wheat-growing seasons, except for the number of grains per 10 plants, different irrigation scheduling and N application modes significantly affected winter wheat yield components, but their interaction was insignificant (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). The I<sub>45</sub>N<sub>50-50</sub> treatment results in the highest grain yield and yield components during both winter wheat growing seasons.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Interactive effect of different irrigation scheduling and nitrogen application modes on winter wheat yield components during 2020-2021 and 2021-2022 growing seasons.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Season</th>
<th valign="middle" colspan="4" align="center">2020-2021</th>
<th valign="middle" colspan="4" align="center">2021-2022</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Treatment</td>
<td valign="middle" align="center">SL (cm)</td>
<td valign="middle" align="center">GS</td>
<td valign="middle" align="center">TGW (g)</td>
<td valign="middle" align="center">G 10plants<sup>&#x2212;1</sup>
</td>
<td valign="middle" align="center">SL (cm)</td>
<td valign="middle" align="center">GS</td>
<td valign="middle" align="center">TGW (g)</td>
<td valign="middle" align="center">G 10plants<sup>&#x2212;1</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45N0-100</td>
<td valign="middle" align="center">7.74<sup>de</sup>
</td>
<td valign="middle" align="center">31.66<sup>d</sup>
</td>
<td valign="middle" align="center">48.29<sup>de</sup>
</td>
<td valign="middle" align="center">374.3<sup>b</sup>
</td>
<td valign="middle" align="center">7.79<sup>de</sup>
</td>
<td valign="middle" align="center">33.05<sup>de</sup>
</td>
<td valign="middle" align="center">49.66<sup>ef</sup>
</td>
<td valign="middle" align="center">378.8<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">145N25-75</td>
<td valign="middle" align="center">8.81<sup>ab</sup>
</td>
<td valign="middle" align="center">36.60<sup>abc</sup>
</td>
<td valign="middle" align="center">51.67<sup>abc</sup>
</td>
<td valign="middle" align="center">425<sup>ab</sup>
</td>
<td valign="middle" align="center">8.88<sup>a</sup>
</td>
<td valign="middle" align="center">37.02<sup>abc</sup>
</td>
<td valign="middle" align="center">52.89<sup>abcd</sup>
</td>
<td valign="middle" align="center">430.9<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45N50-50</td>
<td valign="middle" align="center">8.93<sup>a</sup>
</td>
<td valign="middle" align="center">38.56<sup>a</sup>
</td>
<td valign="middle" align="center">52.95<sup>a</sup>
</td>
<td valign="middle" align="center">448.33<sup>a</sup>
</td>
<td valign="middle" align="center">8.98<sup>a</sup>
</td>
<td valign="middle" align="center">39.35<sup>a</sup>
</td>
<td valign="middle" align="center">53.85<sup>a</sup>
</td>
<td valign="middle" align="center">451.23<sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45N75-25</td>
<td valign="middle" align="center">8.75<sup>ab</sup>
</td>
<td valign="middle" align="center">35.93<sup>bc</sup>
</td>
<td valign="middle" align="center">51.62<sup>abc</sup>
</td>
<td valign="middle" align="center">410<sup>ab</sup>
</td>
<td valign="middle" align="center">8.81<sup>ab</sup>
</td>
<td valign="middle" align="center">36.60<sup>bc</sup>
</td>
<td valign="middle" align="center">53.20<sup>ab</sup>
</td>
<td valign="middle" align="center">412.4<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45N100-0</td>
<td valign="middle" align="center">8.72<sup>ab</sup>
</td>
<td valign="middle" align="center">35.67<sup>bc</sup>
</td>
<td valign="middle" align="center">51.42<sup>abc</sup>
</td>
<td valign="middle" align="center">403<sup>ab</sup>
</td>
<td valign="middle" align="center">8.76<sup>ab</sup>
</td>
<td valign="middle" align="center">36.56<sup>bc</sup>
</td>
<td valign="middle" align="center">52.01<sup>abcde</sup>
</td>
<td valign="middle" align="center">406.9<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45SRF100</td>
<td valign="middle" align="center">8.92<sup>a</sup>
</td>
<td valign="middle" align="center">36.96<sup>ab</sup>
</td>
<td valign="middle" align="center">52.34<sup>ab</sup>
</td>
<td valign="middle" align="center">426<sup>ab</sup>
</td>
<td valign="middle" align="center">8.97<sup>a</sup>
</td>
<td valign="middle" align="center">37.85<sup>ab</sup>
</td>
<td valign="middle" align="center">53.07<sup>abc</sup>
</td>
<td valign="middle" align="center">432.7<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N0-100</td>
<td valign="middle" align="center">7.28<sup>e</sup>
</td>
<td valign="middle" align="center">29.53<sup>d</sup>
</td>
<td valign="middle" align="center">47.72<sup>e</sup>
</td>
<td valign="middle" align="center">372<sup>b</sup>
</td>
<td valign="middle" align="center">7.34<sup>e</sup>
</td>
<td valign="middle" align="center">30.99<sup>e</sup>
</td>
<td valign="middle" align="center">48.98<sup>f</sup>
</td>
<td valign="middle" align="center">377.7<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N25-75</td>
<td valign="middle" align="center">8.50<sup>abc</sup>
</td>
<td valign="middle" align="center">35.20<sup>bc</sup>
</td>
<td valign="middle" align="center">49.73<sup>cde</sup>
</td>
<td valign="middle" align="center">390.3<sup>ab</sup>
</td>
<td valign="middle" align="center">8.56<sup>abc</sup>
</td>
<td valign="middle" align="center">36.47<sup>bc</sup>
</td>
<td valign="middle" align="center">50.64<sup>bcdef</sup>
</td>
<td valign="middle" align="center">396.6<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N50-50</td>
<td valign="middle" align="center">8.69<sup>ab</sup>
</td>
<td valign="middle" align="center">35.60<sup>bc</sup>
</td>
<td valign="middle" align="center">50.89<sup>abc</sup>
</td>
<td valign="middle" align="center">402.3<sup>ab</sup>
</td>
<td valign="middle" align="center">8.71<sup>ab</sup>
</td>
<td valign="middle" align="center">36.39<sup>bc</sup>
</td>
<td valign="middle" align="center">52.43<sup>abcd</sup>
</td>
<td valign="middle" align="center">407.9<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N75-25</td>
<td valign="middle" align="center">8.33<sup>bc</sup>
</td>
<td valign="middle" align="center">34.80<sup>bc</sup>
</td>
<td valign="middle" align="center">49.66<sup>cde</sup>
</td>
<td valign="middle" align="center">389.7<sup>ab</sup>
</td>
<td valign="middle" align="center">8.36<sup>bc</sup>
</td>
<td valign="middle" align="center">35.74<sup>bc</sup>
</td>
<td valign="middle" align="center">50.47<sup>cdef</sup>
</td>
<td valign="middle" align="center">393.8<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N100-0</td>
<td valign="middle" align="center">8.04<sup>cd</sup>
</td>
<td valign="middle" align="center">34.53<sup>c</sup>
</td>
<td valign="middle" align="center">49.48<sup>cde</sup>
</td>
<td valign="middle" align="center">379.7<sup>b</sup>
</td>
<td valign="middle" align="center">8.06<sup>cd</sup>
</td>
<td valign="middle" align="center">34.98<sup>cd</sup>
</td>
<td valign="middle" align="center">50.38<sup>def</sup>
</td>
<td valign="middle" align="center">386.2<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30-SRF100</td>
<td valign="middle" align="center">8.62<sup>ab</sup>
</td>
<td valign="middle" align="center">35.60<sup>bc</sup>
</td>
<td valign="middle" align="center">50.45<sup>bcd</sup>
</td>
<td valign="middle" align="center">394.3<sup>ab</sup>
</td>
<td valign="middle" align="center">8.69<sup>ab</sup>
</td>
<td valign="middle" align="center">36.63<sup>bc</sup>
</td>
<td valign="middle" align="center">51.57<sup>abcdef</sup>
</td>
<td valign="middle" align="center">398.6<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">**</td>
<td valign="middle" align="center">**</td>
<td valign="middle" align="center">*</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">**</td>
<td valign="middle" align="center">**</td>
<td valign="middle" align="center">ns</td>
</tr>
<tr>
<td valign="middle" align="left">N</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">**</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">**</td>
<td valign="middle" align="center">ns</td>
</tr>
<tr>
<td valign="middle" align="left">I &#xd7; N</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SL; Spike length, GS; Number of grains per spike, TGW; Thousand-grain weight, G 10plants<sup>&#x2212;1</sup>; Number of grains per ten plants. Each value indicates the mean of three replicates and the different letters within a column represent a significant difference at P&lt; 0.05. Significance level = ns (non-significant at P&lt; 0.05), * (P&lt; 0.05), ** (P&lt; 0.01), and *** (P&lt; 0.001).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Aboveground biomass and harvest index</title>
<p>The influence of different irrigation scheduling and N application modes on winter wheat aboveground biomass (ABM) during the 2020-2021 and 2021-2022 growing seasons is presented in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>. The winter wheat ABM accumulation shows a similar trend during both seasons. Compared to N<sub>0-100</sub>, the N fertigation rate of N<sub>50-50</sub> significantly (<italic>P&lt;</italic>0.05) increased the wheat ABM under both water regimes and growing seasons. The I<sub>45</sub>N<sub>50-50</sub> treatment shows the highest ABM accumulation with 19.41 and 20.41&#xa0;t ha<sup>&#x2212;1</sup> in 2020-2021 and 2021-2022, respectively. The I<sub>30</sub>N<sub>0-100</sub> treatment shows the lowest ABM accumulation with 12.45 and 13.44&#xa0;t ha<sup>&#x2212;1</sup> in 2020-2021 and 2021-2022, respectively. Across the two winter wheat-growing years, different irrigation scheduling and N application modes significantly affected winter wheat ABM accumulation, but their interaction was insignificant (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Influence of different irrigation scheduling and nitrogen application modes on winter wheat aboveground biomass (t ha<sup>&#x2212;1</sup>) during 2020-2021 and 2021-2022 growing seasons.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Season</th>
<th valign="middle" align="center">Treatment</th>
<th valign="middle" align="center">N<sub>0-100</sub>
</th>
<th valign="middle" align="center">N<sub>25-75</sub>
</th>
<th valign="middle" align="center">N<sub>50-50</sub>
</th>
<th valign="middle" align="center">N<sub>75-25</sub>
</th>
<th valign="middle" align="center">N<sub>100-0</sub>
</th>
<th valign="middle" align="center">SRF<sub>100</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="5" align="left">2020-2021</td>
<td valign="middle" align="center">I<sub>45</sub>
</td>
<td valign="middle" align="center">14.69<sup>ef</sup>
</td>
<td valign="middle" align="center">19<sup>ab</sup>
</td>
<td valign="middle" align="center">19.41<sup>a</sup>
</td>
<td valign="middle" align="center">18.72<sup>abc</sup>
</td>
<td valign="middle" align="center">17.73<sup>abcd</sup>
</td>
<td valign="middle" align="center">19.11<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">I<sub>30</sub>
</td>
<td valign="middle" align="center">12.45<sup>f</sup>
</td>
<td valign="middle" align="center">16.53<sup>bcde</sup>
</td>
<td valign="middle" align="center">18.46<sup>abcd</sup>
</td>
<td valign="middle" align="center">16.32<sup>cde</sup>
</td>
<td valign="middle" align="center">15.89<sup>de</sup>
</td>
<td valign="middle" align="center">17.19<sup>abcde</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">I</td>
<td valign="middle" colspan="6" align="center">***</td>
</tr>
<tr>
<td valign="middle" align="center">N</td>
<td valign="middle" colspan="6" align="center">***</td>
</tr>
<tr>
<td valign="middle" align="center">I &#xd7; N</td>
<td valign="middle" colspan="6" align="center">ns</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">2021-2022</td>
<td valign="middle" align="center">I<sub>45</sub>
</td>
<td valign="middle" align="center">15.36<sup>cd</sup>
</td>
<td valign="middle" align="center">19.45<sup>ab</sup>
</td>
<td valign="middle" align="center">20.41<sup>a</sup>
</td>
<td valign="middle" align="center">19.79<sup>ab</sup>
</td>
<td valign="middle" align="center">19.39<sup>ab</sup>
</td>
<td valign="middle" align="center">20.47<sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">I<sub>30</sub>
</td>
<td valign="middle" align="center">13.44<sup>d</sup>
</td>
<td valign="middle" align="center">17.65<sup>abc</sup>
</td>
<td valign="middle" align="center">18.95<sup>ab</sup>
</td>
<td valign="middle" align="center">17.19<sup>bc</sup>
</td>
<td valign="middle" align="center">17.38<sup>bc</sup>
</td>
<td valign="middle" align="center">18.41<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">I</td>
<td valign="middle" colspan="6" align="center">**</td>
</tr>
<tr>
<td valign="middle" align="center">N</td>
<td valign="bottom" colspan="6" align="center">***</td>
</tr>
<tr>
<td valign="middle" align="center">I &#xd7; N</td>
<td valign="bottom" colspan="6" align="center">ns</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>I, Irrigation level; N, Nitrogen application mode; Each value indicates the mean of three replicates and the different letters within the row and column represent a significant difference at P&lt; 0.05. Significance level = ns (non-significant at P&lt; 0.05), * (P&lt; 0.05), ** (P&lt; 0.01), and *** (P&lt; 0.001).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Data presented in <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref> indicates the Influence of different irrigation scheduling and N application modes on winter wheat harvest index (HI) during the 2020-2021 and 2021-2022 growing seasons. The I<sub>30</sub>N<sub>0-100</sub> treatments show the highest HI of 0.58 and 0.58 in 2020-2021 and 2021-2022, respectively and then follows by I<sub>45</sub>N<sub>50-50</sub> with a HI of 0.50 and 0.48 in 2020-2021 and 2021-2022, respectively. Across the two winter wheat-growing years, different irrigation scheduling and N application modes as well as their interactions insignificantly affected winter wheat HI (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). During both winter wheat growing seasons, the I<sub>45</sub>N<sub>50-50</sub> treatment shows the highest ABM accumulation, while the I<sub>30</sub>N<sub>0-100</sub> treatment shows the highest HI.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Influence of different irrigation scheduling and nitrogen application modes on winter wheat harvest index during 2020-2021 and 2021-2022 growing seasons.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Season</th>
<th valign="middle" align="center">Treatment</th>
<th valign="middle" align="center">N<sub>0-100</sub>
</th>
<th valign="middle" align="center">N<sub>25-75</sub>
</th>
<th valign="middle" align="center">N<sub>50-50</sub>
</th>
<th valign="middle" align="center">N<sub>75-25</sub>
</th>
<th valign="middle" align="center">N<sub>100-0</sub>
</th>
<th valign="middle" align="center">SRF<sub>100</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="5" align="left">2020-2021</td>
<td valign="middle" align="center">I<sub>45</sub>
</td>
<td valign="middle" align="center">0.49<sup>ab</sup>
</td>
<td valign="middle" align="center">0.47<sup>b</sup>
</td>
<td valign="middle" align="center">0.50<sup>ab</sup>
</td>
<td valign="middle" align="center">0.44<sup>b</sup>
</td>
<td valign="middle" align="center">0.46<sup>b</sup>
</td>
<td valign="middle" align="center">0.47<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">I<sub>30</sub>
</td>
<td valign="middle" align="center">0.58<sup>a</sup>
</td>
<td valign="middle" align="center">0.48<sup>ab</sup>
</td>
<td valign="middle" align="center">0.46<sup>b</sup>
</td>
<td valign="middle" align="center">0.46<sup>b</sup>
</td>
<td valign="middle" align="center">0.47<sup>b</sup>
</td>
<td valign="middle" align="center">0.47<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">I</td>
<td valign="middle" colspan="6" align="center">ns</td>
</tr>
<tr>
<td valign="middle" align="center">N</td>
<td valign="middle" colspan="6" align="center">ns</td>
</tr>
<tr>
<td valign="middle" align="center">I &#xd7; N</td>
<td valign="middle" colspan="6" align="center">ns</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">2021-2022</td>
<td valign="middle" align="center">I<sub>45</sub>
</td>
<td valign="middle" align="center">0.50<sup>ab</sup>
</td>
<td valign="middle" align="center">0.48<sup>ab</sup>
</td>
<td valign="middle" align="center">0.48<sup>ab</sup>
</td>
<td valign="middle" align="center">0.44<sup>b</sup>
</td>
<td valign="middle" align="center">0.44<sup>b</sup>
</td>
<td valign="middle" align="center">0.48<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">I<sub>30</sub>
</td>
<td valign="middle" align="center">0.58<sup>a</sup>
</td>
<td valign="middle" align="center">0.48<sup>ab</sup>
</td>
<td valign="middle" align="center">0.47<sup>ab</sup>
</td>
<td valign="middle" align="center">0.45<sup>b</sup>
</td>
<td valign="middle" align="center">0.46<sup>ab</sup>
</td>
<td valign="middle" align="center">0.47<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">I</td>
<td valign="middle" colspan="6" align="center">ns</td>
</tr>
<tr>
<td valign="middle" align="center">N</td>
<td valign="bottom" colspan="6" align="center">ns</td>
</tr>
<tr>
<td valign="middle" align="center">I &#xd7; N</td>
<td valign="bottom" colspan="6" align="center">ns</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>I, Irrigation level; N, Nitrogen application mode; Each value indicates the mean of three replicates and the different letters within the row and column represent a significant difference at P&lt; 0.05. Significance level = ns stands for non-significant at P&lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Leaf photosynthetic parameters</title>
<p>Gas exchange charactheristics, including net photosynthetic rate (<italic>A<sub>n</sub>
</italic>), stomatal conductance (<italic>g<sub>s</sub>
</italic>), and instantaneous water use efficiency (<italic>iWUE</italic>) of winter wheat leaves were affected by different irrigation scheduling and split N applications (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). From 0 to 14-days after anthesis, <italic>A<sub>n</sub>
</italic> and <italic>g<sub>s</sub>
</italic>continually rise to reach their maximum from all experimental treatments under different irrigation scheduling and N application modes and during both growing seasons. From 14 to 28-days after anthesis, <italic>A<sub>n</sub>
</italic> and <italic>g<sub>s</sub>
</italic>continually decrease from all experimental treatments under different irrigation scheduling and N application modes and during both growing seasons. From 0 to 28-days after anthesis, the highest values of <italic>A<sub>n</sub>
</italic> and <italic>g<sub>s</sub>
</italic>were observed in the N<sub>50-50</sub> and SRF<sub>100</sub> treatments under different irrigation scheduling and N application modes and during both growing seasons. From 0 to 28-days after anthesis, the N<sub>0-100</sub> and SRF<sub>100</sub> treatments show the highest values of <italic>WUEi</italic> from all experimental treatments under 30&#xa0;mm irrigation scheduling with different N application modes and during both growing seasons (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The post anthesis gas exchange charactheristics remain higher under the I<sub>45</sub>N<sub>50-50</sub> treatment during both winter wheat growing seasons.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Effects of different irrigation scheduling and nitrogen application modes on photosynthetic capacity during 2020-2021 and 2021-2022 winter wheat-growing seasons. I45 = Irrigation scheduling at 45&#xa0;mm, I30 = Irrigation scheduling at 30&#xa0;mm.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-1105006-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>SPAD chlorophyll and chlorophyll fluorescence</title>
<p>Data presented in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, indicate that different irrigation scheduling and N application modes significantly (<italic>P&lt;</italic>0.05) affected winter wheat SPAD chlorophyll content. Except for the I<sub>45</sub>SRF<sub>100</sub> treatment, the I<sub>45</sub>N<sub>50</sub>-<sub>50</sub> treatment significantly (<italic>P&lt;</italic>0.05) increased the SPAD chlorophyll content compared to other experimental treatments during both growing seasons. The I<sub>45</sub>N<sub>50</sub>-<sub>50</sub> treatment shows the highest SPAD chlorophyll content with 70.05 and 68.61 in 2020-2021 and 2021-2022, respectively. The I<sub>30</sub>N<sub>0</sub>-<sub>100</sub> treatment shows the lowest SPAD chlorophyll content with 41.38 and 44.63 in 2020-2021 and 2021-2022, respectively. Winter wheat SPAD chlorophyll content was significantly (<italic>P&lt;</italic>0.05) decreased by 40.92 and 34.95% in 2020-2021 and 2021-2022, respectively when comparing I<sub>45</sub>N<sub>50</sub>-<sub>50</sub> to I<sub>30</sub>N<sub>0</sub>-<sub>10</sub> treatment.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Effects of different irrigation scheduling and nitrogen application modes on SPAD chlorophyll during 2020-2021 and 2021-2022 winter wheat-growing seasons. Each value indicates the mean of three replicates &#xb1; standard deviation and the different letters on top of the error bar represent a significant difference at <italic>P</italic>&lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-1105006-g005.tif"/>
</fig>
<p>Chlorophyll fluorescence (<italic>F<sub>V</sub>/F<sub>M</sub>
</italic>) was significantly (<italic>P&lt;</italic>0.05) affected by different irrigation scheduling and N application modes during both growing seasons (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). During the 2020-2021 winter wheat-growing season, compared to the I<sub>45</sub>N<sub>50</sub>-<sub>50</sub> treatment, <italic>F<sub>V</sub>/F<sub>M</sub>
</italic>was significantly (<italic>P&lt;</italic>0.05) decreased by 15.05% under the I<sub>30</sub>N<sub>0</sub>-<sub>100</sub> treatment. During the 2021-2022 growing season, compared to the I<sub>45</sub>SRF<sub>100</sub> treatment, <italic>F<sub>V</sub>/F<sub>M</sub>
</italic>was significantly (<italic>P&lt;</italic>0.05) decreased by 14.95% in the I<sub>30</sub>N<sub>0</sub>-<sub>100</sub> treatment. The I<sub>45</sub>N<sub>50</sub>-<sub>50</sub> treatment shows had the highest value (8.932) of <italic>F<sub>V</sub>/F<sub>M</sub>
</italic>in 2020-2021, while the I<sub>45</sub>SRF<sub>100</sub> treatment shows the highest value (8.961) of <italic>F<sub>V</sub>/F<sub>M</sub>
</italic>in 2021-2022. The I<sub>30</sub>N<sub>0</sub>-<sub>100</sub> treatment shows the lowest values of <italic>F<sub>V</sub>/F<sub>M</sub>
</italic> with 7.587 and 7.621 in 2020-2021 and 2021-2022, respectively. (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). The I<sub>45</sub>N<sub>50</sub>-<sub>50</sub> treatment shows the highest SPAD chlorophyll content and (<italic>F<sub>V</sub>/F<sub>M</sub>
</italic>) during both winter wheat growing seasons.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Effects of different irrigation scheduling and nitrogen application modes on the maximal photochemical efficiency of photosystem II (F<sub>V</sub>/F<sub>M</sub>) during 2020-2021 and 2021-2022 winter wheat-growing seasons. Each value indicates the mean of three replicates &#xb1; standard deviation and the different letters on top of the error bar represent a significant difference at <italic>P</italic>&lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-1105006-g006.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Winter wheat nutrient content</title>
<p>As shown in <xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>, during the 2020-2021 and 2021-2022 winter wheat-growing years, the interactive effect of different irrigation scheduling and N application modes significantly (<italic>P&lt;</italic>0.05) affected winter wheat nutrient content, including total nitrogen (TN), total phosphorus (TP), and total potassium (TK). Compared to the I<sub>30</sub>N<sub>0-100</sub> treatment, the I<sub>45</sub>N<sub>50-50</sub> treatment significantly (<italic>P&lt;</italic>0.05) enhanced the TN content by 42.48 and 35.81% in 2020-2021 and 2021-2022, respectively. The I<sub>45</sub>SRF<sub>100</sub> treatment significantly (<italic>P&lt;</italic>0.05) increased the TP content by 38.4 and 36.12% in 2020-2021 and 2021-2022, respectively in comparison with the I<sub>30</sub>N<sub>0-100</sub> treatment. With the application of The I<sub>45</sub>N<sub>50</sub>-<sub>50</sub> treatment, the TK content significantly (<italic>P&lt;</italic>0.05) increased by 31.45 and 32.61% in 2020-2021 and 2021-2022, respectively when compared to the I<sub>30</sub>N<sub>0-100</sub> treatment. The highest values of TN, TP, and TK content were obtained with the I<sub>45</sub>N<sub>50</sub>-<sub>50</sub>, I<sub>45</sub>SRF<sub>100</sub>, and I<sub>45</sub>N<sub>50</sub>-<sub>50</sub> treatments, respectively during both winter wheat-growing seasons. The lowest values of TN, TP, and TK content were all obtained with the I<sub>30</sub>N<sub>0</sub>-<sub>100</sub> treatment during both winter wheat growing seasons. The interactive effect of different irrigation scheduling and N application modes significantly affected TN content, while insignificantly affected TP and TK content during both winter wheat-growing seasons (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>). The I<sub>45</sub>N<sub>50-50</sub> and I<sub>45</sub>SRF<sub>100</sub> are the most favorable treatments for nutrient accumulations during both winter wheat growing seasons.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Interactive effect of different irrigation scheduling and nitrogen application modes on winter wheat nutrient content during 2020-2021 and 2021-2022 growing seasons.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Season</th>
<th valign="middle" colspan="3" align="center">2020-2021</th>
<th valign="middle" colspan="3" align="center">2021-2022</th>
</tr>
<tr>
<th valign="middle" align="left">Treatment</th>
<th valign="middle" align="center">Total N (mg g<sup>&#x2212;1</sup>)</th>
<th valign="middle" align="center">Total P (mg g<sup>&#x2212;1</sup>)</th>
<th valign="middle" align="center">Total K (mg g<sup>&#x2212;1</sup>)</th>
<th valign="middle" align="center">Total N (mg g<sup>&#x2212;1</sup>)</th>
<th valign="middle" align="center">Total P (mg g<sup>&#x2212;1</sup>)</th>
<th valign="middle" align="center">Total K (mg g<sup>&#x2212;1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">I45N0-100</td>
<td valign="middle" align="center">27.46<sup>gh</sup>
</td>
<td valign="middle" align="center">3.35<sup>de</sup>
</td>
<td valign="middle" align="center">24.93<sup>cd</sup>
</td>
<td valign="middle" align="center">30.17<sup>f</sup>
</td>
<td valign="middle" align="center">3.83<sup>cde</sup>
</td>
<td valign="middle" align="center">26.99<sup>bc</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">145N25-75</td>
<td valign="middle" align="center">36.92<sup>bc</sup>
</td>
<td valign="middle" align="center">3.94<sup>bc</sup>
</td>
<td valign="middle" align="center">28.89<sup>abc</sup>
</td>
<td valign="middle" align="center">38.76<sup>bc</sup>
</td>
<td valign="middle" align="center">4.69<sup>b</sup>
</td>
<td valign="middle" align="center">30.70<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45N50-50</td>
<td valign="middle" align="center">45.85<sup>a</sup>
</td>
<td valign="middle" align="center">4.01<sup>b</sup>
</td>
<td valign="middle" align="center">32.46<sup>a</sup>
</td>
<td valign="middle" align="center">46.49<sup>a</sup>
</td>
<td valign="middle" align="center">4.56<sup>bc</sup>
</td>
<td valign="middle" align="center">34.00<sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45N75-25</td>
<td valign="middle" align="center">32.92<sup>cde</sup>
</td>
<td valign="middle" align="center">3.72<sup>bcd</sup>
</td>
<td valign="middle" align="center">27.62<sup>bc</sup>
</td>
<td valign="middle" align="center">35.27<sup>cde</sup>
</td>
<td valign="middle" align="center">4.38<sup>bcd</sup>
</td>
<td valign="middle" align="center">28.55<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45N100-0</td>
<td valign="middle" align="center">29.32<sup>efgh</sup>
</td>
<td valign="middle" align="center">3.60<sup>bcde</sup>
</td>
<td valign="middle" align="center">27.35<sup>bc</sup>
</td>
<td valign="middle" align="center">31.41<sup>ef</sup>
</td>
<td valign="middle" align="center">3.71<sup>de</sup>
</td>
<td valign="middle" align="center">29.45<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I45SRF100</td>
<td valign="middle" align="center">40.56<sup>b</sup>
</td>
<td valign="middle" align="center">5.13<sup>a</sup>
</td>
<td valign="middle" align="center">29.90<sup>ab</sup>
</td>
<td valign="middle" align="center">42.55<sup>ab</sup>
</td>
<td valign="middle" align="center">5.62<sup>a</sup>
</td>
<td valign="middle" align="center">31.16<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N0-100</td>
<td valign="middle" align="center">26.37<sup>h</sup>
</td>
<td valign="middle" align="center">3.16<sup>e</sup>
</td>
<td valign="middle" align="center">22.25<sup>d</sup>
</td>
<td valign="middle" align="center">29.84<sup>f</sup>
</td>
<td valign="middle" align="center">3.59<sup>e</sup>
</td>
<td valign="middle" align="center">22.91<sup>c</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N25-75</td>
<td valign="middle" align="center">30.75<sup>efg</sup>
</td>
<td valign="middle" align="center">3.48<sup>cde</sup>
</td>
<td valign="middle" align="center">26.28<sup>bcd</sup>
</td>
<td valign="middle" align="center">32.66<sup>def</sup>
</td>
<td valign="middle" align="center">3.95<sup>bcde</sup>
</td>
<td valign="middle" align="center">27.61<sup>bc</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N50-50</td>
<td valign="middle" align="center">35.03<sup>cd</sup>
</td>
<td valign="middle" align="center">3.90<sup>bc</sup>
</td>
<td valign="middle" align="center">28.62<sup>abc</sup>
</td>
<td valign="middle" align="center">37.28<sup>cd</sup>
</td>
<td valign="middle" align="center">4.35<sup>bcd</sup>
</td>
<td valign="middle" align="center">29.80<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N75-25</td>
<td valign="middle" align="center">29.24<sup>efgh</sup>
</td>
<td valign="middle" align="center">3.47<sup>cde</sup>
</td>
<td valign="middle" align="center">26.04<sup>bcd</sup>
</td>
<td valign="middle" align="center">32.21<sup>ef</sup>
</td>
<td valign="middle" align="center">3.94<sup>cde</sup>
</td>
<td valign="middle" align="center">28.40<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30N100-0</td>
<td valign="middle" align="center">28.15<sup>fgh</sup>
</td>
<td valign="middle" align="center">3.45<sup>cde</sup>
</td>
<td valign="middle" align="center">25.34<sup>cd</sup>
</td>
<td valign="middle" align="center">29.98<sup>f</sup>
</td>
<td valign="middle" align="center">4.04<sup>bcde</sup>
</td>
<td valign="middle" align="center">26.46<sup>bc</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I30-SRF100</td>
<td valign="middle" align="center">31.70<sup>def</sup>
</td>
<td valign="middle" align="center">4.91<sup>a</sup>
</td>
<td valign="middle" align="center">26.96<sup>bc</sup>
</td>
<td valign="middle" align="center">33.86<sup>def</sup>
</td>
<td valign="middle" align="center">5.69<sup>a</sup>
</td>
<td valign="middle" align="center">28.13<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">*</td>
<td valign="middle" align="center">**</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">**</td>
</tr>
<tr>
<td valign="middle" align="left">N</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">**</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">**</td>
</tr>
<tr>
<td valign="middle" align="left">I &#xd7; N</td>
<td valign="middle" align="center">***</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">*</td>
<td valign="middle" align="center">ns</td>
<td valign="middle" align="center">ns</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>I, Irrigation level; N, Nitrogen application mode; Each value indicates the mean of three replicates and the different letters within a column represent a significant difference at P&lt; 0.05. Significance level = ns (non-significant at P&lt; 0.05), * (P&lt; 0.05), ** (P&lt; 0.01), and *** (P&lt; 0.001).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_7">
<title>Polynomial relationship between grain yield and various parameters</title>
<p>The data of winter wheat grain yield response to various parameters under different irrigation scheduling and N application modes during the 2020-2021 and 2021-2022 growing seasons are presented in <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>. It is observed that during both winter wheat-growing seasons, grain yield increases with the increase of top dressing N fertigation rate from 0 to 50% and then decreases from 50 to 100% (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). In this study, there are close correlations between grain yield and fertigation rate (R<sup>2</sup> of 0.61 and 0.53 for both seasons), grain yield and plant TN content (R<sup>2</sup> of 0.68 and 0.62 for both seasons), grain yield and A<sub>n</sub> (R<sup>2</sup> of 0.79 and 0.73 for both seasons), grain yield and SPAD chlorophyll content (R<sup>2</sup> of 0.83 and 0.78 for both seasons), grain yield and F<sub>V</sub>/F<sub>M</sub> (R<sup>2</sup> of 0.77 and 0.73 for both seasons), and grain yield and TGW (R<sup>2</sup> of 0.66 and 0.58 for both seasons). During both winter wheat-growing seasons, grain yield significantly correlated with the fertigation rate, plant TN content, A<sub>n</sub>, SPAD chlorophyll content, F<sub>V</sub>/F<sub>M</sub>, and TGW (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Winter wheat grain yield response to various parameters during the 2020-2021 and 2021-2022 growing seasons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-1105006-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<sec id="s4_1">
<title>Effect of different N and irrigation scheduling on crop growth and biomass accumulation</title>
<p>Plant growth parameters such as plant height and LAI are key characteristics of crop growth and development. N is among the most necessary plant nutrients that influence crop growth and development (<xref ref-type="bibr" rid="B35">Li et&#xa0;al., 2019a</xref>). Previous studies demonstrated that N availability positively affected crop growth and development, while water deficit negatively affected crop growth and development (<xref ref-type="bibr" rid="B1">Abrar et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B45">Si et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B57">Zain et&#xa0;al., 2021</xref>). The experimental results of the current study also indicated a significant improvement in plant height and LAI by increasing the irrigation quota. Enhancing the quota of irrigation suggests more water application, better moisture conditions in the soil, a shorter period of water deficit, and more crop evapotranspiration, which all benefit plant growth (<xref ref-type="bibr" rid="B25">Kharrou et&#xa0;al., 2011</xref>). As stated by <xref ref-type="bibr" rid="B17">Farooq et&#xa0;al. (2009)</xref>, a lack of water and N induces a significant reduction in cell processes, including cell elongation, duration of cell elongation, and cell division, resulting in a reduction in leaf area. Previous studies also demonstrated that reasonable N fertilizer allocation at various wheat growth stages is essential for wheat growth under a defined fertilization rate (<xref ref-type="bibr" rid="B57">Zain et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B2">Abubakar et&#xa0;al., 2022</xref>). In the current study, in comparison with other irrigation and N scheduling treatments, the I<sub>45</sub>N<sub>50-50</sub> and I<sub>45</sub>SFR<sub>100</sub> treatments had the highest plant height and LAI during all wheat growth stages. This is in line with the findings of <xref ref-type="bibr" rid="B2">Abubakar et&#xa0;al. (2022)</xref>, who reported in a recent study that split application of N in a N<sub>50-50</sub> ratio is beneficial for plant height and LAI improvement during all wheat growth stages. According to <xref ref-type="bibr" rid="B36">Ma et&#xa0;al. (2021)</xref>, adequate N fertilizer supply guaranteed a rational soil inorganic N distribution for meeting crop growth requirements, decreased N losses at the early growth stages, and enhanced wheat biomass accumulation at later groining stages.</p>
<p>Aboveground biomass (ABM) is a significant indication of crop growth and development. ABM is the material basis of grain yield because it exhaustively represents the overall contribution of plant height, LAI, and plant density. In the present study, the highest ABM was obtained under the I<sub>45</sub>N<sub>50-50</sub> and I<sub>45</sub>SFR<sub>100</sub> treatments during both winter wheat-growing seasons, implying that under these treatments the optimal N amount was applied for better winter wheat growth. The goal of the topdressing N fertilization was to enhance post-anthesis biomass accumulation, which is a beneficial method of enhancing crop yield (<xref ref-type="bibr" rid="B51">Wang et&#xa0;al., 2016</xref>). In the current study, I<sub>45</sub>N<sub>50-50</sub> and I<sub>45</sub>SFR<sub>100</sub> treatments provided the required N at crucial winter wheat growth stages, resulting in higher ABM accumulation (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). These findings are in harmony with other researchers&#x2019; experimental results (<xref ref-type="bibr" rid="B58">Zhang et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B31">Li et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B22">Jha et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s4_2">
<title>Effect of different N and irrigation scheduling on grain yield and its components</title>
<p>The overall goal of this study was to develop an appropriate N application scheduling to improve winter wheat grain yield under different water regimes. In the present study, with the same irrigation regime, the N<sub>50-50</sub> and SRF<sub>100</sub> treatments resulted in similar grain yields during both winter wheat-growing seasons (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The current study also revealed that irrigating the wheat crop whenever the actual evapotranspiration (ETa-P) reaches 45&#xa0;mm and split application of N at N<sub>50-50</sub> is the optional fertigation method to achieve a better grain yield. Under the irrigation scheduling of 45&#xa0;mm, the split application of N at N<sub>50-50</sub> significantly (<italic>P&lt;</italic>0.05) increased winter wheat grain yield by 25.62 and 21.63% in 2020/2021 and 2021/2022, respectively as compared to the treatment which applied 100% of the N at jointing and booting (N<sub>0-100</sub>). Under the same irrigation regime, the SRF<sub>100</sub> increased winter wheat grain yield by 20.72 and 21.15, respectively compared to N<sub>0-100</sub>. Based on correlation analysis, <xref ref-type="bibr" rid="B2">Abubakar et&#xa0;al. (2022)</xref> stated that the cause for the grain yield enhancement under this fertigation method is that the treatment strongly affected the yield components. Similarly, in the present study, the winter wheat grain yield was observed to strongly correlate with the thousand-grain weight. In harmony with the findings of the present study, <xref ref-type="bibr" rid="B29">Liang et&#xa0;al. (2017)</xref> and <xref ref-type="bibr" rid="B59">Zhang et&#xa0;al. (2017)</xref> reported that excessive fertilization at the later growth stages leads to prolonged growth, poor grain filling, delayed maturity, and ultimately decreased grain yield.</p>
<p>Adequate irrigation scheduling and split N management are beneficial to improve winter wheat yield components. In this study, split N management played an important role in enhancing yield components, including spike lent (SL), number of grains per spike (SG), thousand-grain weight (TGW), and number of grains per 10 plants (G 10plants<sup>&#x2212;1</sup>). <xref ref-type="bibr" rid="B57">Zain et&#xa0;al. (2021)</xref> found that managing appropriately the percentage of top-dressing N and applying more N at late stages of wheat growth helps to achieve high SG and TGW. In the present study, the I<sub>45</sub>N<sub>50-50</sub> and I<sub>45</sub>SRF<sub>100</sub> treatments resulted in an obvious improvement in yield components in comparison with the other experimental treatments during both winter wheat-growing seasons (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Results of the current study demonstrated that a 100% topdressing N is not beneficial for improving winter wheat yield components. These findings are in line with those of previous studies on the effect of split N management in winter wheat fields (<xref ref-type="bibr" rid="B57">Zain et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B2">Abubakar et&#xa0;al., 2022</xref>). <xref ref-type="bibr" rid="B34">Liu et&#xa0;al. (2019)</xref> also reported that reducing the basal rate and increasing the N application rate at the jointing and booting stages significantly enhanced the yield components, and ultimately, the grain yield. The yield component patterns indicated that a balancing strategy for N split application is recommended. However, the results of this study showed that the SRF<sub>100</sub> treatment was very competitive with N split application.</p>
</sec>
<sec id="s4_3">
<title>Effect of different N and irrigation scheduling on leaf photosynthetic parameters</title>
<p>Several previous studies have reported that photosynthetic capacity is the main factor determining wheat grain yield after anthesis (<xref ref-type="bibr" rid="B48">Tian et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B60">Zhang et&#xa0;al., 2020</xref>). <xref ref-type="bibr" rid="B16">Fang et&#xa0;al. (2018)</xref> confirmed that this capacity is directly related to the application of N fertilizer and irrigation. Consistently, the results of the current study proved that under an irrigation quota of 45&#xa0;mm, a N<sub>50-50</sub> ratio of basal-top-dressing N and SRF<sub>100</sub> at sowing could enhance the post-anthesis winter wheat leaves photosynthetic capacity, which is directly beneficial in terms of increasing grain yield. <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref> revealed a strong relationship between winter wheat grain yield and photosynthetic capacity during both growing seasons. This influence may also be attributed to the fact that a reasonable basal-top dressing N ratio can improve N accumulation in leaves, which is significantly positively correlated with chlorophyll activity and improve photosynthetic capacity (<xref ref-type="bibr" rid="B33">Li et&#xa0;al., 2013</xref>).</p>
</sec>
<sec id="s4_4">
<title>Effect of different N and irrigation scheduling on SPAD chlorophyll and chlorophyll fluorescence</title>
<p>SPAD-measured values can be used to determine leaf functional status and nutrient content (<xref ref-type="bibr" rid="B50">Wang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B54">Yang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B32">Li et&#xa0;al., 2019b</xref>). The current paper analyzed the distribution of winter wheat leaf <italic>SPAD</italic> content among treatments under different irrigation scheduling and N application modes (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). <xref ref-type="bibr" rid="B27">Kitonyo et&#xa0;al. (2018)</xref> reported that high <italic>SPAD</italic> chlorophyll values indicate a sustained high photosynthetic rate <italic>A<sub>n</sub>
</italic>. Consistently, in this study, under the irrigation quota of 45&#xa0;mm, the N<sub>50-50</sub> ratio of basal-top-dressing simultaneously resulted in a maximum <italic>SPAD</italic> chlorophyll content (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>) and maximum <italic>A<sub>n</sub>
</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) during both growing seasons. The post-anthesis increase in the maximal photochemical efficiency of photosystem II (<italic>F<sub>V</sub>/F<sub>M</sub>
</italic>) of wheat leaves provides further support for this hypothesis. Although previous research has shown that appropriate irrigation is an essential tool for efficient photosynthetic capacity, the current study indicates that variation in irrigation regimes had no significant influences on the <italic>F<sub>V</sub>/F<sub>M</sub>
</italic> of wheat eaves after anthesis (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). However, treatment with the optimal combination N<sub>50-50</sub> basal-top-dressing N ratio and irrigation scheduling at 45&#xa0;mm was associated with the highest <italic>F<sub>V</sub>/F<sub>M</sub>
</italic>. These findings suggest that the N<sub>50-50</sub> basal-top-dressing N ratio and irrigation scheduling at 45&#xa0;mm improve <italic>PSII</italic> efficiency, which could increase photosynthesis capacity by enhancing energy transport from <italic>PSII</italic> to <italic>PSI</italic>.</p>
</sec>
<sec id="s4_5">
<title>Effect of different N and irrigation scheduling on nutrient content</title>
<p>Nitrogen (N), phosphorus (P), and potassium (K) are the three main essential nutrients that plants require for optimum growth and development. During the life cycle, an insufficiency of any of these nutrients has a deleterious impact on plant growth and development (<xref ref-type="bibr" rid="B23">Khalofah et&#xa0;al., 2022</xref>). N plays an important role in plants&#x2019; vegetative growth, synthesis of chlorophyll, and subsequently in photosynthesis (<xref ref-type="bibr" rid="B14">Duarah et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B24">Khan et&#xa0;al., 2012</xref>). P is involved in the released energy storage and transfer during photosynthetic activity, and its deficit delays plant maturity (<xref ref-type="bibr" rid="B23">Khalofah et&#xa0;al., 2022</xref>). In the current study, compared to the I<sub>30</sub>N<sub>100-0</sub> treatment, the I<sub>45</sub>N<sub>50-50</sub> treatment significantly (<italic>P&lt;</italic>0.05) increased plant total N content by 38.6 and 35.51% in 2020-2021 and 2021-2022, respectively, and significantly (<italic>P&lt;</italic>0.05) increased plant total K content by 21.93 and 22.18% in 2020-2021 and 2021-2022, respectively. The highest concentrations of total P were obtained under the I<sub>45</sub>SRF<sub>100</sub> and I<sub>30</sub>SRF<sub>100</sub> in 2020-2021 and 2021-2022, respectively (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>). Consistently with the findings of the present study, <xref ref-type="bibr" rid="B60">Zhang et&#xa0;al. (2020)</xref> found that top-dressing N application significantly increased plant N concentration under different irrigation regimes. The results of the current study are also similar to the findings of <xref ref-type="bibr" rid="B43">Shedeed et&#xa0;al. (2009)</xref>, who found that split application of urea (46% N, 200&#xa0;kg ha<sup>&#x2212;1</sup>) significantly affected tomato plants&#x2019; total NPK uptake under drip irrigation scheduling. (<xref ref-type="bibr" rid="B4">Alhaj Hamoud et&#xa0;al., 2019</xref>) demonstrated that rice N, P and K uptake were affected by different irrigation regimes.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>To summarize, the present study investigated the effects of split N fertilizer application and different irrigation on winter wheat growth, grain yield, photosynthetic capacity, chlorophyll fluorescence, and nutrient accumulations. The two consecutive years (2020-2021 and 2021-2022) study showed that different irrigation scheduling and N application modes significantly affected winter wheat growth, yield, and photosynthetic capacity. Collectively, the results of the current study confirm that under various irrigation, splitting the urea (46% N, 240&#xa0;kg ha<sup>&#x2212;1</sup>) at 50% at sowing and 50% from jointing to booting stages positively affected drip-irrigated winter wheat. The I<sub>45</sub>N<sub>50-50</sub> and I<sub>45</sub>SRF<sub>100</sub> treatments resulted in the highest grain yield, aboveground biomass, net photosynthetic rate, stomatal conductance, SPAD chlorophyll content, and chlorophyll fluorescence (<italic>F<sub>V</sub>/F<sub>M</sub>
</italic>). Therefore, this study concludes that treatments based on I<sub>45</sub>N<sub>50-50</sub> is an optional choice for winter wheat production in the North China Plain. The present study shows that an optimized split N fertilizer application could help to sustain a better winter wheat physiological growth and yield formation. This study&#x2019;s findings also indicated that using slow-release fertilizer (SRF) to replace N application is a promising method because it could offset the costs due to its single-time application of urea. Additional studies should be conducted to assess soil water-nitrogen use efficiency, soil microbial community activities, soil water and N dynamics, as well as the quantification of N losses through emissions and leaching.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>AH: writing&#x2014;original draft preparation and investigation. AH: methodology, investigation, formal analysis, software, validation, visualization, data curation. YG and AD: methodology, conceptualization and design. SA: methodology, investigation, writing&#x2014;review and editing. ZS, RK, SA, YG and AD: writing&#x2014;review and editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the China Agriculture Research System of MOF and MARA (CARS-03-19), the National Natural Science Foundation of China (Grant No. 51879267), and the Agricultural Science and Technology Innovation Program (ASTIP), Chinese Academy of Agricultural Sciences.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>Authors would like to thank their laboratory colleagues. They would also like to thank Yingying Zhang, the manager of the Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs, Xinxiang, Henan, and the China Scholarship Council (CSC).</p>
</ack>
<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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