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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.2018.00385</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>Effects of N Fertilizer Sources and Tillage Practices on NH<sub>3</sub> Volatilization, Grain Yield, and N Use Efficiency of Rice Fields in Central China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Tianqi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/508791/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Jinfeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chai</surname> <given-names>Kaibin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cao</surname> <given-names>Cougui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Chengfang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/478255/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Hubei Collaborative Innovation Center for Grain Industry, Yangtze University</institution>, <addr-line>Jingzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Peter Schr&#x00F6;der, Helmholtz Zentrum M&#x00FC;nchen &#x2013; Deutsches Forschungszentrum f&#x00FC;r Gesundheit und Umwelt, Germany</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Ilias Travlos, Agricultural University of Athens, Greece; Allah Wasaya, Bahauddin Zakariya University, Pakistan</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Chengfang Li, <email>lichengfang@mail.hzau.edu.cn</email>; <email>lichengfang@126.com</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>03</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<year>2018</year>
</pub-date>
<volume>9</volume>
<elocation-id>385</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>09</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>03</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2018 Liu, Huang, Chai, Cao and Li.</copyright-statement>
<copyright-year>2018</copyright-year>
<copyright-holder>Liu, Huang, Chai, Cao and Li</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 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>Tillage practices and nitrogen (N) sources are important factors affecting rice production. Few studies, however, have examined the interactions between tillage practices and N fertilizer sources on NH<sub>3</sub> volatilization, nitrogen use efficiency (NUE), and rice grain yield. This study aimed to investigate the effects of N fertilizer sources (no N fertilizer, inorganic N fertilizer, organic N fertilizer alone, organic N fertilizer plus inorganic N fertilizer, and slow-release N fertilizer plus inorganic N fertilizer) and tillage practices (no-tillage [NT] and conventional intensive tillage [CT]) on NH<sub>3</sub> flux, grain yield, and NUE in the rice field of central China. N sources significantly affected NH<sub>3</sub> volatilization, as the cumulative volatilization from the treatments of inorganic N fertilizer, organic N fertilizer, organic N fertilizer plus inorganic N fertilizer, slow-release N fertilizer plus inorganic N fertilizer was 4.19, 2.13, 3.42, and 2.23 folds in 2013, and 2.49, 1.68, 2.08, and 1.85 folds in 2014 compared with that under no N fertilizer treatment, respectively. The organic N fertilizer treatment had the lowest grain yield and NUE among all N fertilizer treatments, while slow-release N fertilizer plus inorganic N fertilizer treatment led to relatively higher grain yield and the greatest N use efficiency. Moreover, NT only markedly increased NH<sub>3</sub> volatilization from basal fertilizer by 10&#x2013;14% in average compared with CT, but had no obvious effects on total volatilization during the whole seasons. Tillage practices had no significant effects on grain yield and NUE. Our study suggested that the combination of slow-release N fertilizer plus inorganic N fertilizer and NT might be a sustainable method for mitigating greenhouse gas and NH<sub>3</sub> emissions and improving grain yield and NUE in paddy fields of central China.</p>
</abstract>
<kwd-group>
<kwd>N recovery efficiency</kwd>
<kwd>NH<sub>3</sub> flux</kwd>
<kwd>no-tillage</kwd>
<kwd>organic N fertilizer</kwd>
<kwd>slow-release N fertilizer</kwd>
</kwd-group>
<contract-num rid="cn001">2016CFA017</contract-num>
<contract-sponsor id="cn001">Natural Science Foundation of Hubei Province<named-content content-type="fundref-id">10.13039/501100003819</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="55"/>
<page-count count="10"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Nitrogen (N) is one of the most important nutrients for agricultural systems, and thus N fertilizers are frequently used with the aim to achieve high yields of crop. As the most important cereal crop in China, rice accounts for 18.2% of total cultivated land area in China, and inorganic N fertilizers account for 36.2% of the total chemical N fertilizers used in rice production in the world (<xref ref-type="bibr" rid="B9">Department of Rural Social and Economic Investigation of the National Bureau of Statistics, 2017</xref>). However, nitrogen use efficiency (NUE) of the N fertilizers applied in rice production usually falls within the range of 20&#x2013;40% in China (<xref ref-type="bibr" rid="B45">Xu et al., 2013</xref>; <xref ref-type="bibr" rid="B52">Zhang and Zhang, 2013</xref>), which not only leads to low rice yields but also causes threat to the environment and human health. The NUE may be ascribed to nitrification, denitrification, NH<sub>3</sub> volatilization, runoff, and leaching in rice fields (<xref ref-type="bibr" rid="B31">Peng et al., 2006</xref>). Therefore, it is highly necessary to optimize the use of N fertilizers to reduce N losses and increase NUE in rice fields in China.</p>
<p>NH<sub>3</sub> volatilization is an important pathway of N fertilizer loss in paddy fields in China (<xref ref-type="bibr" rid="B45">Xu et al., 2013</xref>), which can usually account for 9&#x2013;40% of the used N fertilizers (<xref ref-type="bibr" rid="B11">Fan et al., 2006</xref>). N management involves using an application source, rate, placement and timing that affect NH<sub>3</sub> emissions (<xref ref-type="bibr" rid="B21">Huang et al., 2016</xref>; <xref ref-type="bibr" rid="B55">Zheng et al., 2016</xref>). Effective N management, such as using controlled-release N fertilizer and mixture of organic and inorganic N fertilizers or deep N placement (<xref ref-type="bibr" rid="B34">Qi et al., 2012</xref>; <xref ref-type="bibr" rid="B6">Chen et al., 2015</xref>; <xref ref-type="bibr" rid="B14">Geng et al., 2015</xref>; <xref ref-type="bibr" rid="B26">Liu et al., 2015</xref>), can more closely match crop N uptake and lower NH<sub>3</sub> volatilization (<xref ref-type="bibr" rid="B21">Huang et al., 2016</xref>), which ensures an adequate amount of N required by the crop to maximize crop yields and NUE. Therefore, great efforts have been made to reduce NH<sub>3</sub> volatilization and increase NUE through using slow-release N or organic N fertilizers to partly or totally substitute inorganic N fertilizers in paddy fields (<xref ref-type="bibr" rid="B39">Singh et al., 2009</xref>; <xref ref-type="bibr" rid="B45">Xu et al., 2013</xref>; <xref ref-type="bibr" rid="B21">Huang et al., 2016</xref>; <xref ref-type="bibr" rid="B23">Ke et al., 2017</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2017</xref>). There is growing evidence showing that full or partial substitution of inorganic N fertilizers with slow-release of organic N fertilizers could mitigate NH<sub>3</sub> emissions and thus increase NUE and rice yields (<xref ref-type="bibr" rid="B7">Chen et al., 2010</xref>; <xref ref-type="bibr" rid="B21">Huang et al., 2016</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2017</xref>). However, other researchers found that crop yields and NUE could be significantly decreased when more inorganic N fertilizers was replaced by slow-release N fertilizers or organic N fertilizers (<xref ref-type="bibr" rid="B4">Bayu et al., 2006</xref>; <xref ref-type="bibr" rid="B15">Golden et al., 2009</xref>; <xref ref-type="bibr" rid="B46">Yang et al., 2015</xref>). Therefore, it is highly necessary to investigate effects of different N fertilizers on NH<sub>3</sub> emission, NUE, and yields in paddy fields.</p>
<p>As one of conservation tillage practices, no-tillage (NT) has been adopted worldwide due to its advantages in conserving water and soil, reducing input costs, increasing soil organic carbon, and improving crop productivity (<xref ref-type="bibr" rid="B48">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="B32">Pittelkow et al., 2015a</xref>,<xref ref-type="bibr" rid="B33">b</xref>). In recent years, the NT has been widely implemented in paddy fields in China (<xref ref-type="bibr" rid="B10">Derpsch et al., 2010</xref>; <xref ref-type="bibr" rid="B19">Huang et al., 2011</xref>; <xref ref-type="bibr" rid="B25">Liang et al., 2016</xref>). There is consensus on the effects of NT on NH<sub>3</sub> volatilization compared with conventional intensive tillage (CT) (<xref ref-type="bibr" rid="B35">Rochette et al., 2009</xref>; <xref ref-type="bibr" rid="B50">Zhang et al., 2011</xref>; <xref ref-type="bibr" rid="B1">Afshar et al., 2018</xref>). It has been well demonstrated that NT could promote NH<sub>3</sub> volatilization compared with CT due to the improvement of soil urease activity and the presence of crop residues under NT as well as the penetration of a fraction of the fertilizer N into soil shallow cracks under CT (<xref ref-type="bibr" rid="B29">Mkhabela et al., 2008</xref>; <xref ref-type="bibr" rid="B35">Rochette et al., 2009</xref>). However, the effect of NT on rice grains yields varies considerably (<xref ref-type="bibr" rid="B32">Pittelkow et al., 2015a</xref>,<xref ref-type="bibr" rid="B33">b</xref>). For example, <xref ref-type="bibr" rid="B12">Gao et al. (2004)</xref> reported that the rice grain yield under NT was higher than that under CT in eastern China, possibly due to the improvement of soil physical and chemical properties. <xref ref-type="bibr" rid="B28">Mishra and Singh (2012)</xref> also reported similar results, and found that NT resulted in significantly higher yields of rice, wheat and rice&#x2013;wheat system relative to CT of a dry seeded rice&#x2013;wheat system on a Vertisol in central India. <xref ref-type="bibr" rid="B30">Panday et al. (2008)</xref> observed similar rice grain yields between NT and CT in the northwestern Himalayan region and <xref ref-type="bibr" rid="B51">Zhang et al. (2015)</xref> reported that soil tillage did not affect both rice and wheat grain yields on a rice-wheat cropping system of Taihu region in China. Some researchers reported lower rice grain yields under NT relative to under CT (<xref ref-type="bibr" rid="B13">Gathala et al., 2011</xref>; <xref ref-type="bibr" rid="B25">Liang et al., 2016</xref>). The variations regarding the effects of NT on rice yield may be attributed to the differences in soil properties and field management practices (<xref ref-type="bibr" rid="B13">Gathala et al., 2011</xref>; <xref ref-type="bibr" rid="B20">Huang M. et al., 2012</xref>; <xref ref-type="bibr" rid="B51">Zhang et al., 2015</xref>). Hence, more research is needed to determine the influence of tillage practices on rice grain yields. The interaction between tillage practices and N fertilizer sources is important from the perspective of crop production (<xref ref-type="bibr" rid="B2">Balkcom and Burmester, 2015</xref>). However, little is known about the interactions between tillage practices and N fertilizer sources on NH<sub>3</sub> volatilization, NUE, and rice grain yield. Hence, this study was aimed to investigate the effects of N sources and tillage practices on the above-mentioned parameters in the paddy fields of central China. We hypothesized that N sources significantly affected NH<sub>3</sub> volatilization, grain yields and NUE, in which inorganic N fertilizers replaced by slow-release N fertilizers or organic N fertilizers could mitigate NH<sub>3</sub> volatilization and increase grain yields and NUE. We also hypothesized that NT could improve NH<sub>3</sub> volatilization, and increase grain yields and NUE compared with CT.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Site Description</title>
<p>The experimental field (29&#x00B0;510&#x2032;N, 115&#x00B0;330&#x2032;E) is situated in Wuxue City, Hubei Province, China. The climate of this region is a humid mid-subtropical monsoon climate as described in detail by <xref ref-type="bibr" rid="B53">Zhang et al. (2016)</xref>. The paddy soil, a type of sandy loam soil, is classified as Gleysol (FAO classification). The rice (<italic>Oryza sativa</italic>, LYP9) and oilseed rape (<italic>Brassica napus</italic>, HS3) varieties were planted. The mean monthly air temperature and rainfall of the experimental site are shown in <bold>Table <xref ref-type="table" rid="T1">1</xref></bold>. The soil properties were described in our previous study (<xref ref-type="bibr" rid="B53">Zhang et al., 2016</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Mean monthly air temperature (&#x00B0;C) and rainfall (mm) of the experimental site.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Month</th>
<th valign="top" align="center" colspan="2">2013<hr/></th>
<th valign="top" align="center" colspan="2">2014<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center">Mean air temperature</th>
<th valign="top" align="center">Rainfall</th>
<th valign="top" align="center">Mean air temperature</th>
<th valign="top" align="center">Rainfall</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">June</td>
<td valign="top" align="center">25.80</td>
<td valign="top" align="center">226.80</td>
<td valign="top" align="center">25.72</td>
<td valign="top" align="center">124.70</td></tr>
<tr>
<td valign="top" align="left">July</td>
<td valign="top" align="center">29.85</td>
<td valign="top" align="center">30.10</td>
<td valign="top" align="center">27.46</td>
<td valign="top" align="center">218.90</td>
</tr>
<tr>
<td valign="top" align="left">August</td>
<td valign="top" align="center">29.76</td>
<td valign="top" align="center">65.70</td>
<td valign="top" align="center">26.20</td>
<td valign="top" align="center">51.70</td>
</tr>
<tr>
<td valign="top" align="left">September</td>
<td valign="top" align="center">23.50</td>
<td valign="top" align="center">64.40</td>
<td valign="top" align="center">24.34</td>
<td valign="top" align="center">22.30</td></tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec><title>Experimental Design</title>
<p>The field study was conducted from 2013 to 2014. The study included five N fertilizer treatments [no N fertilizer (N0), inorganic N fertilizer (IF), organic N fertilizer (OF), organic N fertilizer + inorganic N fertilizer (OFIF), and slow-release N fertilizer + inorganic N fertilizer (SRIF)] and two tillage treatments (NT and CT) using a split-plot randomized complete block design with three replications. The N fertilizer sources were used as the main plots and tillage practices as the sub-plots. Each plot was 40 m<sup>2</sup> (5 m &#x00D7; 8 m) in area. Plastic films were inserted into 40 cm depth covered ridges (40 cm wide and 40 cm high) between the plots for preventing the movement of water and fertilizer. To further prevent the transferring of water and fertilizer, border rows with width of 1 m were planted between treatments.</p>
<p>Middle-season rice was direct-seeded on June 3rd in each year, and the harvest was conducted in early October. Throughout the whole rice season, fertilizers were applied at the rates of 180 kg N ha<sup>-1</sup>, 90 kg P<sub>2</sub>O<sub>5</sub> ha<sup>-1</sup>, and 180 kg K<sub>2</sub>O ha<sup>-1</sup> for N fertilizer treatments. Both P (single super-phosphate) and K (potassium chloride) fertilizers were used as basal fertilizers only at the seedling stage, and the N fertilizers were applied in four split doses: at 50% as basal fertilizer, 20% as tillering fertilizer, 12% as jointing fertilizer and 18% as earing fertilizer under IF, OFIF and SRIF treatments. Conventional urea (46%) was used as the topdressing N. For OF treatment, 3082 kg ha<sup>-1</sup> rape seed cakes (equal to 180 kg N ha<sup>-1</sup>) were used in a single dose at only the seedling stage. For OFIF and SRIF treatments, 925 kg ha<sup>-1</sup> rape seed cakes (equal to 54 kg N ha<sup>-1</sup>) and 616 kg ha<sup>-1</sup> slow release fertilizers (equal to 90 kg N ha<sup>-1</sup>) were applied as basal fertilizer, respectively. The details of fertilizer management were described by <xref ref-type="bibr" rid="B53">Zhang et al. (2016)</xref>.</p>
<p>The fertilizers were spread under NT subplots in which the soil was not disturbed. For CT subplots, the basal fertilizers were applied on the soil surface, and then the soil was plowed to 20 cm depth with a spade and harrowed by a multi-passes of chisel rake subsequently. The water depth of the plots was maintained at the depth of 8 cm during the rice growing season except for the tillering and maturing stages. Herbicides (36% glyphosate at 3 L ha<sup>-1</sup>) and pesticides (20% chlorantraniliprole at 150 mL ha<sup>-1</sup> and 3% emamectin benzoate at 450 mL ha<sup>-1</sup>) were used to control weeds and pests during rice growing seasons when needed.</p>
</sec>
<sec><title>Measurement of NH<sub>3</sub> Volatilization</title>
<p>The NH<sub>3</sub> volatilization was measured by the ventilation method immediately after the mid-season rice was directly seeded (<xref ref-type="bibr" rid="B41">Wang et al., 2004</xref>; <xref ref-type="bibr" rid="B22">Jantalia et al., 2012</xref>). The detailed measurement was described by <xref ref-type="bibr" rid="B26">Liu et al. (2015)</xref>. During the rice growing seasons of 2013 and 2014, the NH<sub>3</sub> flux was measured 22 times in each year. Cumulative NH<sub>3</sub> loss in each plot throughout the whole season was computed according to <xref ref-type="bibr" rid="B26">Liu et al. (2015)</xref>.</p>
</sec>
<sec><title>Rice Plant Sampling and Analysis</title>
<p>To measure the rice grain yield, three frames (1 m &#x00D7; 1 m) were harvested in each plot. The grains were adjusted to the moisture content of 14%. Yield components were investigated from 12 hills sampled from the three harvested frames. The detailed measurement of productive panicle number per m<sup>2</sup>, grain number per panicle, grain filling percentage, and 1000-grain weight was as described by <xref ref-type="bibr" rid="B26">Liu et al. (2015)</xref>. Moreover, 10 hills in every plot were divided to panicle and straw, oven-dried at 80&#x00B0;C and weighed. The dried tissues were ground to determine the N concentrations by FIAstar5000 continuous flow injection analysis. N uptake was calculated as the product of N concentration and dry matter.</p>
</sec>
<sec><title>Data Analysis</title>
<p>The methods as described by <xref ref-type="bibr" rid="B8">Deng et al. (2014)</xref> and <xref ref-type="bibr" rid="B26">Liu et al. (2015)</xref> were used to compute N recovery efficiency (NRE), N agronomic efficiency (NAE), and N partial factor productivity (NFP). N loss rate through NH<sub>3</sub> emission was calculated as the ratio of cumulative NH<sub>3</sub> volatilization to applied amount of N.</p>
<p>Two-way ANOVA with SPSS 12.0 analytical software package was used to determine the effects of N sources and tillage practices on NH<sub>3</sub> flux, NUE, and grain yield. The least significant difference (LSD) test at the 0.05 or 0.01 probability level was conducted to compare the difference in the means between treatments.</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>NH<sub>3</sub> Fluxes</title>
<p>Seasonal changes of NH<sub>3</sub> fluxes under different treatments are shown in <bold>Figures <xref ref-type="fig" rid="F1">1</xref>, <xref ref-type="fig" rid="F2">2</xref></bold>. N fertilization significantly increased NH<sub>3</sub> fluxes, and peaks were observed 1&#x2013;3 days after each N fertilization. The fluxes under tillage treatments ranged from 0.10 mg m<sup>-2</sup> h<sup>-1</sup> to 6.28 mg m<sup>-2</sup> h<sup>-1</sup> in 2013, and from 0.003 mg m<sup>-2</sup> h<sup>-1</sup> to 5.58 mg m<sup>-2</sup> h<sup>-1</sup> in 2014. Moreover, the fluxes under N fertilizer treatments fell within the range of 0.03 mg m<sup>-2</sup> h<sup>-1</sup> &#x2013; 10.89 mg m<sup>-2</sup> h<sup>-1</sup> in 2013, and of 0.03 mg m<sup>-2</sup> h<sup>-1</sup> &#x2013; 10.09 mg m<sup>-2</sup> h<sup>-1</sup> in 2014.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Changes in NH<sub>3</sub> fluxes from different N fertilizer <bold>(A)</bold> and tillage practice <bold>(B)</bold> treatments during 2013 rice growing season. The arrows indicate N fertilization. N0, no N fertilizer; IF, inorganic N fertilizer; OF, organic N fertilizer; SRIF, slow-release N fertilizer combined with inorganic N fertilizer; OFIF, organic N fertilizer combined with inorganic N fertilizer; NT, no-tillage; CT, conventional intensive tillage.</p></caption>
<graphic xlink:href="fpls-09-00385-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Changes in NH<sub>3</sub> fluxes from different N fertilizer <bold>(A)</bold> and tillage practice <bold>(B)</bold> treatments during 2014 rice growing season. The arrows indicate N fertilization. N0, no N fertilizer; IF, inorganic N fertilizer; OF, organic N fertilizer; SRIF, slow-release N fertilizer combined with inorganic N fertilizer; OFIF, organic N fertilizer combined with inorganic N fertilizer; NT, no-tillage; CT, conventional intensive tillage.</p></caption>
<graphic xlink:href="fpls-09-00385-g002.tif"/>
</fig>
<p>N fertilizer sources significantly affected cumulative NH<sub>3</sub> volatilization (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). N fertilization remarkably increased the volatilization compared with N0. The volatilization under IF, OF, OFIF, and SRIF treatments were 4.19, 2.13, 3.42, and 2.23 fold in 2013, and 2.49, 1.68, 2.08, and 1.85 fold in 2014 relative to that in N0 treatment, respectively. Tillage practices had no effect on the volatilization throughout the whole seasons. The volatilization from basal fertilizer was obviously different between NT and CT, where NT significantly increased the volatilization by 10&#x2013;14% in both years compared with CT. Moreover, the volatilization from basal fertilizer accounted for 50&#x2013;69% in 2013 and 53&#x2013;76% in 2014 of total volatilization under N fertilizer treatments. Significant interactive effects of N source and tillage practice on the volatilization was only observed in 2013.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Cumulative NH<sub>3</sub> volatilization (g m<sup>-2</sup>) at different stages of N application under different treatments.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Treatments</th>
<th valign="top" align="center" colspan="5">2013<hr/></th>
<th valign="top" align="center" colspan="5">2014<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center">Basal</th>
<th valign="top" align="center">Tillering</th>
<th valign="top" align="center">Jointing</th>
<th valign="top" align="center">Earing</th>
<th valign="top" align="center">Total</th>
<th valign="top" align="center">Basal</th>
<th valign="top" align="center">Tillering</th>
<th valign="top" align="center">Jointing</th>
<th valign="top" align="center">Earing</th>
<th valign="top" align="center">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">0.33 &#x00B1; 0.05</td>
<td valign="top" align="center">0.45 &#x00B1; 0.09</td>
<td valign="top" align="center">0.11 &#x00B1; 0.01</td>
<td valign="top" align="center">0.10 &#x00B1; 0.01</td>
<td valign="top" align="center">0.99 &#x00B1; 0.10</td>
<td valign="top" align="center">1.32 &#x00B1; 0.15</td>
<td valign="top" align="center">0.38 &#x00B1; 0.06</td>
<td valign="top" align="center">0.25 &#x00B1; 0.02</td>
<td valign="top" align="center">0.13 &#x00B1; 0.02</td>
<td valign="top" align="center">2.08 &#x00B1; 0.15</td>
</tr>
<tr>
<td valign="top" align="left">IF</td>
<td valign="top" align="center">2.81 &#x00B1; 0.28</td>
<td valign="top" align="center">0.92 &#x00B1; 0.12</td>
<td valign="top" align="center">0.22 &#x00B1; 0.07</td>
<td valign="top" align="center">0.19 &#x00B1; 0.06</td>
<td valign="top" align="center">4.14 &#x00B1; 0.33</td>
<td valign="top" align="center">3.34 &#x00B1; 0.30</td>
<td valign="top" align="center">1.18 &#x00B1; 0.13</td>
<td valign="top" align="center">0.48 &#x00B1; 0.05</td>
<td valign="top" align="center">0.17 &#x00B1; 0.04</td>
<td valign="top" align="center">5.16 &#x00B1; 0.32</td>
</tr>
<tr>
<td valign="top" align="left">OF</td>
<td valign="top" align="center">1.09 &#x00B1; 0.10</td>
<td valign="top" align="center">0.62 &#x00B1; 0.03</td>
<td valign="top" align="center">0.25 &#x00B1; 0.09</td>
<td valign="top" align="center">0.15 &#x00B1; 0.05</td>
<td valign="top" align="center">2.11 &#x00B1; 0.15</td>
<td valign="top" align="center">2.58 &#x00B1; 0.38</td>
<td valign="top" align="center">0.45 &#x00B1; 0.08</td>
<td valign="top" align="center">0.32 &#x00B1; 0.09</td>
<td valign="top" align="center">0.14 &#x00B1; 0.02</td>
<td valign="top" align="center">3.49 &#x00B1; 0.33</td>
</tr>
<tr>
<td valign="top" align="left">NFIF</td>
<td valign="top" align="center">2.19 &#x00B1; 0.13</td>
<td valign="top" align="center">0.79 &#x00B1; 0.07</td>
<td valign="top" align="center">0.22 &#x00B1; 0.06</td>
<td valign="top" align="center">0.17 &#x00B1; 0.04</td>
<td valign="top" align="center">3.38 &#x00B1; 0.18</td>
<td valign="top" align="center">2.74 &#x00B1; 0.29</td>
<td valign="top" align="center">1.06 &#x00B1; 0.06</td>
<td valign="top" align="center">0.37 &#x00B1; 0.04</td>
<td valign="top" align="center">0.16 &#x00B1; 0.01</td>
<td valign="top" align="center">4.33 &#x00B1; 0.22</td>
</tr>
<tr>
<td valign="top" align="left">SRIF</td>
<td valign="top" align="center">1.27 &#x00B1; 0.07</td>
<td valign="top" align="center">0.62 &#x00B1; 0.13</td>
<td valign="top" align="center">0.15 &#x00B1; 0.02</td>
<td valign="top" align="center">0.16 &#x00B1; 0.05</td>
<td valign="top" align="center">2.20 &#x00B1; 0.13</td>
<td valign="top" align="center">2.23 &#x00B1; 0.31</td>
<td valign="top" align="center">1.00 &#x00B1; 0.11</td>
<td valign="top" align="center">0.46 &#x00B1; 0.14</td>
<td valign="top" align="center">0.16 &#x00B1; 0.04</td>
<td valign="top" align="center">3.86 &#x00B1; 0.32</td>
</tr>
<tr>
<td valign="top" align="left">NT</td>
<td valign="top" align="center">1.61 &#x00B1; 0.97</td>
<td valign="top" align="center">0.65 &#x00B1; 0.23</td>
<td valign="top" align="center">0.19 &#x00B1; 0.06</td>
<td valign="top" align="center">0.37 &#x00B1; 0.06</td>
<td valign="top" align="center">0.15 &#x00B1; 1.24</td>
<td valign="top" align="center">2.60 &#x00B1; 0.77</td>
<td valign="top" align="center">0.78 &#x00B1; 0.36</td>
<td valign="top" align="center">0.36 &#x00B1; 0.09</td>
<td valign="top" align="center">0.15 &#x00B1; 0.03</td>
<td valign="top" align="center">3.89 &#x00B1; 1.16</td>
</tr>
<tr>
<td valign="top" align="left">CT</td>
<td valign="top" align="center">1.47 &#x00B1; 0.85</td>
<td valign="top" align="center">0.71 &#x00B1; 0.14</td>
<td valign="top" align="center">0.19 &#x00B1; 0.09</td>
<td valign="top" align="center">0.41 &#x00B1; 0.05</td>
<td valign="top" align="center">0.16 &#x00B1; 1.05</td>
<td valign="top" align="center">2.28 &#x00B1; 0.67</td>
<td valign="top" align="center">0.85 &#x00B1; 0.34</td>
<td valign="top" align="center">0.40 &#x00B1; 0.13</td>
<td valign="top" align="center">0.16 &#x00B1; 0.03</td>
<td valign="top" align="center">3.69 &#x00B1; 0.32</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic>-value</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left">N source</td>
<td valign="top" align="center">446.55<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">28.98<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">4.76<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">3.23<sup>&#x2217;</sup></td>
<td valign="top" align="center">355.26<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">58.34<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">97.10<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">7.87<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">2.26<sup>ns</sup></td>
<td valign="top" align="center">112.22<sup>&#x2217;&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">Tillage practice</td>
<td valign="top" align="center">12.25<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">3.62<sup>ns</sup></td>
<td valign="top" align="center">0.10<sup>ns</sup></td>
<td valign="top" align="center">0.70<sup>ns</sup></td>
<td valign="top" align="center">1.31<sup>ns</sup></td>
<td valign="top" align="center">14.04<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">4.76<sup>&#x2217;</sup></td>
<td valign="top" align="center">1.81<sup>ns</sup></td>
<td valign="top" align="center">1.78<sup>ns</sup></td>
<td valign="top" align="center">4.30<sup>ns</sup></td>
</tr>
<tr>
<td valign="top" align="left">N source &#x00D7; Tillage practice</td>
<td valign="top" align="center">3.18<sup>&#x2217;</sup></td>
<td valign="top" align="center">2.59<sup>ns</sup></td>
<td valign="top" align="center">0.40<sup>ns</sup></td>
<td valign="top" align="center">0.83<sup>ns</sup></td>
<td valign="top" align="center">4.03<sup>&#x2217;</sup></td>
<td valign="top" align="center">0.95<sup>ns</sup></td>
<td valign="top" align="center">0.31<sup>ns</sup></td>
<td valign="top" align="center">0.12<sup>ns</sup></td>
<td valign="top" align="center">0.70<sup>ns</sup></td>
<td valign="top" align="center">0.91<sup>ns</sup></td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic>Different letters between N fertilizer treatments under the same tillage practice indicate significant differences at the 5% level. N0, no N fertilizer; IF, inorganic N fertilizer; OF, organic N fertilizer; SRIF, slow-release N fertilizer combined with inorganic N fertilizer; OFIF, organic N fertilizer combined with inorganic N fertilizer; NT, no-tillage; CT, conventional intensive tillage. &#x201C;<sup>&#x2217;</sup>&#x201D; and &#x201C;<sup>&#x2217;&#x2217;</sup>&#x201D; mean <italic>P</italic> &#x003C; 0.05 and <italic>P</italic> &#x003C; 0.01, respectively; ns, not significant.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec><title>Grain Yields and Yield Components</title>
<p>N fertilization significantly enhanced the grain yield due to the increase of productive panicle number, grain number per panicle, and grain filling percentage (<bold>Table <xref ref-type="table" rid="T3">3</xref></bold>). The grain yield under IF, OF, OFIF, SRIF treatments was 1.23, 1.15, 1.30, and 1.42 fold in 2013, and 1.17, 1.10, 1.30, and 1.28 fold in 2014 compared with that under N0 treatment, respectively. Moreover, tillage practices did not affect rice grain yield and its components. No significant interactive effects of N sources and tillage practices on grain yield were observed in each year, while there were significantly interactive effects of N sources and tillage practices on grain number per panicle and grain filling percentage in 2013 and on grain filling percentage in 2014.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Grain yields and yield components under different treatments.</p></caption>
<table cellspacing="5" cellpadding="2" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Treatments</th>
<th valign="top" align="center" colspan="5">2013<hr/></th>
<th valign="top" align="center" colspan="5">2014<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center">Productive Panicle(10<sup>-2</sup>)</th>
<th valign="top" align="center">Grain number per panicle</th>
<th valign="top" align="center">Grain filling percentage<break/> (%)</th>
<th valign="top" align="center">1000-grain weight (g)</th>
<th valign="top" align="center">Grain yield (kg ha<sup>-1</sup>)</th>
<th valign="top" align="center">Productive panicle (10<sup>-2</sup>)</th>
<th valign="top" align="center">Grain number per panicle</th>
<th valign="top" align="center">Grain filling percentage<break/> (%)</th>
<th valign="top" align="center">1000-grain weight (g)</th>
<th valign="top" align="center">Grain yield (kg ha<sup>-1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">217.12 &#x00B1; 10.31</td>
<td valign="top" align="center">152.85 &#x00B1; 7.23</td>
<td valign="top" align="center">0.72 &#x00B1; 0.01</td>
<td valign="top" align="center">26.05 &#x00B1; 0.60</td>
<td valign="top" align="center">6474.35 &#x00B1; 168.64</td>
<td valign="top" align="center">213.99 &#x00B1; 9.58</td>
<td valign="top" align="center">174.77 &#x00B1; 7.76</td>
<td valign="top" align="center">74.40 &#x00B1; 1.14</td>
<td valign="top" align="center">25.19 &#x00B1; 0.51</td>
<td valign="top" align="center">7491.41 &#x00B1; 135.50</td>
</tr>
<tr>
<td valign="top" align="left">IF</td>
<td valign="top" align="center">261.94 &#x00B1; 9.99</td>
<td valign="top" align="center">175.52 &#x00B1; 6.17</td>
<td valign="top" align="center">0.81 &#x00B1; 0.02</td>
<td valign="top" align="center">27.60 &#x00B1; 0.65</td>
<td valign="top" align="center">7957.60 &#x00B1; 274.83</td>
<td valign="top" align="center">232.92 &#x00B1; 6.75</td>
<td valign="top" align="center">206.28 &#x00B1; 14.09</td>
<td valign="top" align="center">77.59 &#x00B1; 2.26</td>
<td valign="top" align="center">24.93 &#x00B1; 0.16</td>
<td valign="top" align="center">8798.62 &#x00B1; 177.88</td>
</tr>
<tr>
<td valign="top" align="left">OF</td>
<td valign="top" align="center">261.12 &#x00B1; 15.65</td>
<td valign="top" align="center">171.99 &#x00B1; 10.85</td>
<td valign="top" align="center">0.74 &#x00B1; 0.01</td>
<td valign="top" align="center">25.52 &#x00B1; 0.23</td>
<td valign="top" align="center">7440.32 &#x00B1; 255.85</td>
<td valign="top" align="center">237.24 &#x00B1; 12.50</td>
<td valign="top" align="center">193.93 &#x00B1; 14.72</td>
<td valign="top" align="center">72.61 &#x00B1; 6.99</td>
<td valign="top" align="center">24.77 &#x00B1; 0.34</td>
<td valign="top" align="center">8261.00 &#x00B1; 124.66</td>
</tr>
<tr>
<td valign="top" align="left">OFIF</td>
<td valign="top" align="center">274.34 &#x00B1; 13.35</td>
<td valign="top" align="center">167.42 &#x00B1; 3.35</td>
<td valign="top" align="center">0.80 &#x00B1; 0.01</td>
<td valign="top" align="center">27.11 &#x00B1; 0.71</td>
<td valign="top" align="center">8417.22 &#x00B1; 172.88</td>
<td valign="top" align="center">245.47 &#x00B1; 11.83</td>
<td valign="top" align="center">202.74 &#x00B1; 7.82</td>
<td valign="top" align="center">79.55 &#x00B1; 4.03</td>
<td valign="top" align="center">25.28 &#x00B1; 0.36</td>
<td valign="top" align="center">9766.00 &#x00B1; 630.58</td>
</tr>
<tr>
<td valign="top" align="left">SRIF</td>
<td valign="top" align="center">288.23 &#x00B1; 15.17</td>
<td valign="top" align="center">181.62 &#x00B1; 13.37</td>
<td valign="top" align="center">0.76 &#x00B1; 0.01</td>
<td valign="top" align="center">26.52 &#x00B1; 0.80</td>
<td valign="top" align="center">9208.55 &#x00B1; 473.41</td>
<td valign="top" align="center">293.83 &#x00B1; 17.81</td>
<td valign="top" align="center">194.73 &#x00B1; 7.73</td>
<td valign="top" align="center">82.38 &#x00B1; 1.99</td>
<td valign="top" align="center">25.73 &#x00B1; 0.32</td>
<td valign="top" align="center">9569.00 &#x00B1; 243.08</td>
</tr>
<tr>
<td valign="top" align="left">NT</td>
<td valign="top" align="center">259.69 &#x00B1; 29.33</td>
<td valign="top" align="center">170.44 &#x00B1; 10.31</td>
<td valign="top" align="center">0.77 &#x00B1; 0.03</td>
<td valign="top" align="center">26.70 &#x00B1; 1.01</td>
<td valign="top" align="center">7959.04 &#x00B1; 980.43</td>
<td valign="top" align="center">247.33 &#x00B1; 30.10</td>
<td valign="top" align="center">194.13 &#x00B1; 16.08</td>
<td valign="top" align="center">77.17 &#x00B1; 6.60</td>
<td valign="top" align="center">25.30 &#x00B1; 0.52</td>
<td valign="top" align="center">8776.18 &#x00B1; 966.56</td>
</tr>
<tr>
<td valign="top" align="left">CT</td>
<td valign="top" align="center">261.40 &#x00B1; 25.77</td>
<td valign="top" align="center">169.31 &#x00B1; 15.39</td>
<td valign="top" align="center">0.77 &#x00B1; 0.05</td>
<td valign="top" align="center">26.42 &#x00B1; 0.90</td>
<td valign="top" align="center">7840.17 &#x00B1; 996.97</td>
<td valign="top" align="center">242.06 &#x00B1; 29.48</td>
<td valign="top" align="center">194.85 &#x00B1; 14.48</td>
<td valign="top" align="center">77.44 &#x00B1; 3.10</td>
<td valign="top" align="center">25.06 &#x00B1; 0.32</td>
<td valign="top" align="center">8778.23 &#x00B1; 873.46</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic>-value</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left">N source</td>
<td valign="top" align="center">21.13<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">21.39<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">137.98<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">10.41<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">65.90<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">37.23<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">6.51<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">9.08<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">6.58<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">43.07<sup>&#x2217;&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">Tillage practice</td>
<td valign="top" align="center">0.11<sup>ns</sup></td>
<td valign="top" align="center">0.29<sup>ns</sup></td>
<td valign="top" align="center">0.38<sup>ns</sup></td>
<td valign="top" align="center">1.42<sup>ns</sup></td>
<td valign="top" align="center">1.10<sup>ns</sup></td>
<td valign="top" align="center">1.45<sup>ns</sup></td>
<td valign="top" align="center">0.03<sup>ns</sup></td>
<td valign="top" align="center">0.06<sup>ns</sup></td>
<td valign="top" align="center">3.75<sup>ns</sup></td>
<td valign="top" align="center">0.00<sup>ns</sup></td>
</tr>
<tr>
<td valign="top" align="left">N source &#x00D7; Tillage practice</td>
<td valign="top" align="center">0.29<sup>ns</sup></td>
<td valign="top" align="center">10.01<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">21.47<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">0.90<sup>ns</sup></td>
<td valign="top" align="center">0.23<sup>ns</sup></td>
<td valign="top" align="center">1.19<sup>ns</sup></td>
<td valign="top" align="center">0.42<sup>ns</sup></td>
<td valign="top" align="center">4.30<sup>&#x2217;</sup></td>
<td valign="top" align="center">0.54<sup>ns</sup></td>
<td valign="top" align="center">0.32<sup>ns</sup></td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic>Different letters between N fertilizer treatments under the same tillage practice indicate significant differences at the 5% level. N0, no N fertilizer; IF, inorganic N fertilizer; OF, organic N fertilizer; SRIF, slow-release N fertilizer combined with inorganic N fertilizer; OFIF, organic N fertilizer combined with inorganic N fertilizer; NT, no-tillage; CT, conventional intensive tillage. &#x201C;<sup>&#x2217;</sup>&#x201D; and &#x201C;<sup>&#x2217;&#x2217;</sup>&#x201D; mean <italic>P</italic> &#x003C; 0.05 and <italic>P</italic> &#x003C; 0.01, respectively; ns, not significant.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec><title>NUE</title>
<p>N sources had obvious influence on NUE (<bold>Table <xref ref-type="table" rid="T4">4</xref></bold>). In general, OF treatment resulted in the lowest NRE, NAE and NFP among all N fertilizer treatments, while SRIF and OFIF treatments led to higher NRE, NAE and NFP than IF treatment. OFIF treatments increased the NRE, NAE and NFP by 11&#x2013;42%, 31&#x2013;75%, and 6&#x2013;11%, and SRIF treatments increased the NRE, NAE and NFP by 58&#x2013;77%, 59&#x2013;84%, and 9&#x2013;16%, compared with IF treatments, respectively. No interactive effects of N sources and tillage practices on NUE were observed.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Nitrogen use efficiency from different treatments.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Treatments</th>
<th valign="top" align="center" colspan="3">2013<hr/></th>
<th valign="top" align="center" colspan="3">2014<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center">NRE (%)</th>
<th valign="top" align="center">NAE (kgkg<sup>-1</sup>)</th>
<th valign="top" align="center">NFP (kgkg<sup>-1</sup>)</th>
<th valign="top" align="center">NRE (%)</th>
<th valign="top" align="center">NAE (kgkg<sup>-1</sup>)</th>
<th valign="top" align="center">NFP (kgkg<sup>-1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td></tr>
<tr>
<td valign="top" align="left">IF</td>
<td valign="top" align="center">26.63 &#x00B1; 2.84</td>
<td valign="top" align="center">8.24 &#x00B1; 1.61</td>
<td valign="top" align="center">44.21 &#x00B1; 1.53</td>
<td valign="top" align="center">37.45 &#x00B1; 4.34</td>
<td valign="top" align="center">7.26 &#x00B1; 1.29</td>
<td valign="top" align="center">48.88 &#x00B1; 0.99</td>
</tr>
<tr>
<td valign="top" align="left">OF</td>
<td valign="top" align="center">22.81 &#x00B1; 2.80</td>
<td valign="top" align="center">5.37 &#x00B1; 0.88</td>
<td valign="top" align="center">41.34 &#x00B1; 1.42</td>
<td valign="top" align="center">23.51 &#x00B1; 2.57</td>
<td valign="top" align="center">4.28 &#x00B1; 1.15</td>
<td valign="top" align="center">45.89 &#x00B1; 0.69</td>
</tr>
<tr>
<td valign="top" align="left">OFIF</td>
<td valign="top" align="center">37.76 &#x00B1; 3.48</td>
<td valign="top" align="center">10.79 &#x00B1; 0.65</td>
<td valign="top" align="center">46.76 &#x00B1; 0.96</td>
<td valign="top" align="center">41.57 &#x00B1; 4.17</td>
<td valign="top" align="center">12.64 &#x00B1; 3.95</td>
<td valign="top" align="center">54.26 &#x00B1; 3.50</td>
</tr>
<tr>
<td valign="top" align="left">SRIF</td>
<td valign="top" align="center">47.10 &#x00B1; 2.43</td>
<td valign="top" align="center">15.19 &#x00B1; 2.83</td>
<td valign="top" align="center">51.76 &#x00B1; 2.63</td>
<td valign="top" align="center">59.24 &#x00B1; 3.93</td>
<td valign="top" align="center">11.54 &#x00B1; 1.19</td>
<td valign="top" align="center">53.16 &#x00B1; 1.35</td>
</tr>
<tr>
<td valign="top" align="left">NT</td>
<td valign="top" align="center">32.80 &#x00B1; 10.19</td>
<td valign="top" align="center">10.03 &#x00B1; 3.88</td>
<td valign="top" align="center">46.22 &#x00B1; 3.95</td>
<td valign="top" align="center">39.19 &#x00B1; 12.84</td>
<td valign="top" align="center">9.31 &#x00B1; 4.30</td>
<td valign="top" align="center">50.62 &#x00B1; 4.21</td>
</tr>
<tr>
<td valign="top" align="left">CT</td>
<td valign="top" align="center">34.35 &#x00B1; 10.44</td>
<td valign="top" align="center">9.77 &#x00B1; 4.32</td>
<td valign="top" align="center">45.51 &#x00B1; 4.25</td>
<td valign="top" align="center">41.69 &#x00B1; 14.60</td>
<td valign="top" align="center">8.55 &#x00B1; 3.85</td>
<td valign="top" align="center">50.48 &#x00B1; 3.73</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic>-value</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left">N source</td>
<td valign="top" align="center">83.44<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">29.76<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">30.14<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">100.39<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">15.57<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">19.59<sup>&#x2217;&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">Tillage practice</td>
<td valign="top" align="center">1.64<sup>ns</sup></td>
<td valign="top" align="center">0.110<sup>ns</sup></td>
<td valign="top" align="center">0.88<sup>ns</sup></td>
<td valign="top" align="center">2.90<sup>ns</sup></td>
<td valign="top" align="center">0.60<sup>ns</sup></td>
<td valign="top" align="center">0.03<sup>ns</sup></td>
</tr>
<tr>
<td valign="top" align="left">N source &#x00D7; Tillage practice</td>
<td valign="top" align="center">0.60<sup>ns</sup></td>
<td valign="top" align="center">0.25<sup>ns</sup></td>
<td valign="top" align="center">0.25<sup>ns</sup></td>
<td valign="top" align="center">1.20<sup>ns</sup></td>
<td valign="top" align="center">0.24<sup>ns</sup></td>
<td valign="top" align="center">0.30<sup>ns</sup></td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic>Different letters between N fertilizer treatments under the same tillage practice indicate significant differences at the 5% level. N0, no N fertilizer; IF, inorganic N fertilizer; OF, organic N fertilizer; SRIF, slow-release N fertilizer combined with inorganic N fertilizer; OFIF, organic N fertilizer combined with inorganic N fertilizer; CT, conventional intensive tillage; NRE, N recovery efficiency; NAE, N agronomic efficiency; NFP, N partial factor productivity; NT, no-tillage; CT, conventional intensive tillage. &#x201C;<sup>&#x2217;&#x2217;</sup>&#x201D; means <italic>P</italic> &#x003C; 0.01; ns, not significant.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec><title>Discussion</title>
<p>This study investigated the effects of N sources and tillage practices on NH<sub>3</sub> volatilization, grain yield and NUE from paddy fields in central China. The results part supported our hypotheses that N sources had significant effects on NH<sub>3</sub> volatilization, grain yield and NUE, and SRIF treatment had the second-lowest NH<sub>3</sub> volatilization and the highest grain yield and NUE among N fertilizer treatments. However, tillage practices only influenced NH<sub>3</sub> volatilization at the early stage of rice under N fertilized conditions, but did not affected grain yield and NUE.</p>
<sec><title>NH<sub>3</sub> Volatilization</title>
<p>NH<sub>3</sub> flux peaks observed 1&#x2013;3 days after each N fertilizer treatment (<bold>Figures <xref ref-type="fig" rid="F1">1</xref>, <xref ref-type="fig" rid="F2">2</xref></bold>) may be attributed to the enzymatic hydrolysis of the applied N (<xref ref-type="bibr" rid="B50">Zhang et al., 2011</xref>; <xref ref-type="bibr" rid="B37">Shang et al., 2014</xref>). Enhancement of NH<sub>3</sub> volatilization caused by N fertilization has been reported in numerous studies (<xref ref-type="bibr" rid="B50">Zhang et al., 2011</xref>; <xref ref-type="bibr" rid="B26">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="B21">Huang et al., 2016</xref>).</p>
<p>In the present study, the cumulative NH<sub>3</sub> volatilization under IF treatment was estimated to be 41.4&#x2013;51.6 kg ha<sup>-1</sup>, which is similar to the results reported by <xref ref-type="bibr" rid="B26">Liu et al. (2015)</xref> in this region. The cumulative NH<sub>3</sub> volatilization accounting for 50&#x2013;76% of total NH<sub>3</sub> volatilization occurred in basal fertilizer under N fertilizer treatments in both years (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). Similar results were observed by <xref ref-type="bibr" rid="B44">Xu et al. (2012)</xref>, who reported that the cumulative NH<sub>3</sub> volatilization from basal and tillering fertilizer (about 1 month) accounted for more than 80% of the total NH<sub>3</sub> volatilization from rice fields in the Tai-lake region of China. The high volatilization in this stage may be due to the application of relatively more N fertilizers and high temperatures in this stage (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). Moreover, a previous study indicated that dense canopy may act as a sink of NH<sub>3</sub> in more vigorous stages (<xref ref-type="bibr" rid="B3">Bash et al., 2010</xref>). Thus, the climate conditions in the sparse canopy at the early stages of rice growth may facilitate NH<sub>3</sub> emission (<xref ref-type="bibr" rid="B5">Cao and Yin, 2015</xref>; <xref ref-type="bibr" rid="B54">Zhao et al., 2015</xref>).</p>
<p>In this study, compared with IF treatment, the other three N fertilizer treatments significantly decreased NH<sub>3</sub> volatilization (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>), suggesting that the application of organic N or slow-release N fertilizers is an effective strategy for mitigating NH<sub>3</sub> emission from paddy fields. The results are consistent with those reported by <xref ref-type="bibr" rid="B45">Xu et al. (2013)</xref>, <xref ref-type="bibr" rid="B47">Ye et al. (2013)</xref>, <xref ref-type="bibr" rid="B21">Huang et al. (2016)</xref>, and <xref ref-type="bibr" rid="B23">Ke et al. (2017)</xref>. Moreover, the OF treatment resulted in the lowest NH<sub>3</sub> volatilization among all N fertilizer treatments, which may be due to the relatively low availability of N from the decomposition of rape seed cake (<xref ref-type="bibr" rid="B4">Bayu et al., 2006</xref>). NH<sub>4</sub><sup>+</sup> released from the mineralization of the rape seed cake can be partly immobilized by microbes and the soil (<xref ref-type="bibr" rid="B17">Heal et al., 1997</xref>; <xref ref-type="bibr" rid="B46">Yang et al., 2015</xref>), which thereby reduces NH<sub>4</sub><sup>+</sup> concentration in soil and then decreases the NH<sub>3</sub> volatilization. Compared with OFIF treatment, SRIF treatment decreased the NH<sub>3</sub> volatilization (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>) possibly due to a synchronization of N release with rice requirement (<xref ref-type="bibr" rid="B23">Ke et al., 2017</xref>). The prolonged release of fertilizer N matches the requirement of rice, and reduces soil NH<sub>4</sub><sup>+</sup> concentrations and NH<sub>3</sub> volatilization subsequently (<bold>Figures <xref ref-type="fig" rid="F1">1</xref>, <xref ref-type="fig" rid="F2">2</xref></bold> and <bold>Table <xref ref-type="table" rid="T2">2</xref></bold>).</p>
<p>In this study, higher NH<sub>3</sub> volatilization under N fertilized conditions from NT at the early stage of rice growth was higher than that from CT (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). Similar results were reported by <xref ref-type="bibr" rid="B50">Zhang et al. (2011)</xref>. Greater urease activities in soil surface under NT than CT (<xref ref-type="bibr" rid="B50">Zhang et al., 2011</xref>) may result in higher concentration of NH<sub>4</sub><sup>+</sup> in the soil and floodwater from hydrolyzed fertilizer N, which thereby promotes NH<sub>3</sub> emission under NT. Moreover, the contact of fertilizer particles and the soil may be reduced by the residues retained in NT soil surface, which means reduced adsorption of NH<sub>4</sub><sup>+</sup> from hydrolyzed fertilizer N by soil particles under NT. However, dense canopy may act as a sink of NH<sub>3</sub> in the middle and later stages of rice growth (<xref ref-type="bibr" rid="B3">Bash et al., 2010</xref>). Therefore, promoting effects of NT on NH<sub>3</sub> volatilization was only recorded in the early stage of rice growth in this study (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). As <xref ref-type="bibr" rid="B35">Rochette et al. (2009)</xref> reported, fraction of fertilizer N may diffuse into the shallow cracks under CT, which may result in lower NH<sub>3</sub> volatilization at the early stage of crop growth under CT than under NT.</p>
</sec>
<sec><title>Grain Yield</title>
<p>The lowest yield was recorded under OF treatment, while the highest was observed under OFIF and SRIF treatments (<bold>Table <xref ref-type="table" rid="T3">3</xref></bold>). It has been reported that the application of organic matter alone may not be enough to sustain crop yield due to its relatively low nutrient supply (<xref ref-type="bibr" rid="B4">Bayu et al., 2006</xref>), which is in agreement with the results reported by <xref ref-type="bibr" rid="B46">Yang et al. (2015)</xref>, <xref ref-type="bibr" rid="B42">Wei et al. (2016)</xref>, and <xref ref-type="bibr" rid="B49">Zhang et al. (2017)</xref>. These results demonstrate that it is impossible to increase the grain yield to meet the food demand in the world through establishing a rice production system that depends exclusively on organic matter (<xref ref-type="bibr" rid="B36">Seufert et al., 2012</xref>). However, it was noted that the use of organic fertilizer alone can substantially increase the yield if sufficiently large quantities are applied (<xref ref-type="bibr" rid="B42">Wei et al., 2016</xref>). For example, <xref ref-type="bibr" rid="B27">Lu et al. (2012)</xref> found that the application of 270 kg N ha<sup>-1</sup> slurry can bring about a rice grain yield similar to that results from the application of 270 kg N ha<sup>-1</sup> urea. We found that the application of organic N fertilizer + inorganic N fertilizer (OFIF) resulted in a higher grain yield than the application of inorganic N fertilizer only (<bold>Table <xref ref-type="table" rid="T3">3</xref></bold>), which may be due to the improvement of nutrient efficiency and organic matter impacts (<xref ref-type="bibr" rid="B16">Han et al., 2004</xref>; <xref ref-type="bibr" rid="B42">Wei et al., 2016</xref>). <xref ref-type="bibr" rid="B42">Wei et al. (2016)</xref> performed a comprehensive review based on 32 long-term experiments in China, and reported the positive effects of the combination of organic and inorganic fertilizers on rice grain yield. However, <xref ref-type="bibr" rid="B49">Zhang et al. (2017)</xref> found that amending inorganic fertilizer with anaerobically digested pig slurry had no significant effects on rice grain yield. This discrepancy may be attributed to different types of organic fertilizers and the ratio of organic and inorganic fertilizers used (<xref ref-type="bibr" rid="B42">Wei et al., 2016</xref>). Slow-release N fertilizer can release N into the soil that can closely match the N demand in different growing stages of crop, which has been widely implemented in China to improve crop production and mitigate environmental problems caused by the application of inorganic fertilizers (<xref ref-type="bibr" rid="B46">Yang et al., 2015</xref>; <xref ref-type="bibr" rid="B55">Zheng et al., 2016</xref>; <xref ref-type="bibr" rid="B23">Ke et al., 2017</xref>). In this study, the substitution of half of inorganic N fertilizer by slow-release N fertilizer resulted in a higher grain yield relative to inorganic N fertilizer (<bold>Table <xref ref-type="table" rid="T3">3</xref></bold>). The N released from slow-release N fertilizer at the early and middle stages of rice growth is relatively low, which may result in N supply deficiency at the stages (<xref ref-type="bibr" rid="B23">Ke et al., 2017</xref>); thus, topdressing N at the tillering and jointing stages may better satisfy the N demand at different growing stages of rice in this study. <xref ref-type="bibr" rid="B7">Chen et al. (2010)</xref> and <xref ref-type="bibr" rid="B23">Ke et al. (2017)</xref> also reported that a mixture of inorganic and slow-release N fertilizers could increase grain yield.</p>
<p>In the present study, the grain yield was increased under N fertilization due to the increase of productive panicle number, grain number per panicle, and grain filling percentage (<bold>Table <xref ref-type="table" rid="T3">3</xref></bold>), which is basically consistent with the previously reported results (<xref ref-type="bibr" rid="B24">Li et al., 2017</xref>).</p>
<p>Yield is an important indicator to assess the response of crop to tillage practices. In this study, no significant effects of tillage practices on grain yield were observed (<bold>Table <xref ref-type="table" rid="T3">3</xref></bold>). The effects of NT practice on rice grain yield can be promoting (<xref ref-type="bibr" rid="B12">Gao et al., 2004</xref>), decreasing (<xref ref-type="bibr" rid="B13">Gathala et al., 2011</xref>), and no effect (<xref ref-type="bibr" rid="B50">Zhang et al., 2011</xref>, <xref ref-type="bibr" rid="B53">2016</xref>) compared with CT practice. For example, <xref ref-type="bibr" rid="B12">Gao et al. (2004)</xref> reported that NT significantly increased rice yield in eastern China compared with CT because of the improvement of paddy soil physical and chemical properties. <xref ref-type="bibr" rid="B38">Sharma et al. (2005)</xref> reported the reduction of rice yields in rice-based systems under NT in northern India. In the northwestern Himalayan region, NT did not affect rice yield compared with CT (<xref ref-type="bibr" rid="B30">Panday et al., 2008</xref>). The variables might be related to soil properties (e.g., texture and pH), climates (e.g., temperature and light) and field management practices (e.g., N application rate, planting method, crop rotation, residue management, and the duration of NT use) (<xref ref-type="bibr" rid="B43">Xie et al., 2007</xref>; <xref ref-type="bibr" rid="B13">Gathala et al., 2011</xref>; <xref ref-type="bibr" rid="B20">Huang M. et al., 2012</xref>). Moreover, the yields varied between the 2 years in this study (<bold>Table <xref ref-type="table" rid="T3">3</xref></bold>), which might result from the year-specific climate (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>).</p>
</sec>
<sec><title>NUE</title>
<p>N source significantly affected NUE of rice, and OF treatment resulted in the lowest NUE among four N fertilizer treatments (<bold>Table <xref ref-type="table" rid="T4">4</xref></bold>). <xref ref-type="bibr" rid="B4">Bayu et al. (2006)</xref> proposed that the application of organic materials alone may not be enough to maintain crop production due to the limited availability and relatively low nutrient content of organic materials. Moreover, it is commonly believed that the combination of organic and chemical N fertilizers can reduce N losses by converting inorganic N into organic forms, and thus can enhance the efficiency of the fertilizers compared with the application of inorganic N fertilizer alone (<xref ref-type="bibr" rid="B46">Yang et al., 2015</xref>). The combination could improve the nutrient uptake efficiency of crops (<xref ref-type="bibr" rid="B16">Han et al., 2004</xref>). Thus, we found higher NUE under OFIF than under IF in this study (<bold>Table <xref ref-type="table" rid="T4">4</xref></bold>). Slow-release N fertilizer has been reported to decrease N losses through denitrification, NH<sub>3</sub> volatilization (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>), N leaching and N runoff because N release of the fertilizer can closely match the N demand at the later stages of rice growing (<xref ref-type="bibr" rid="B40">Timilsena et al., 2015</xref>; <xref ref-type="bibr" rid="B23">Ke et al., 2017</xref>). Therefore, although half of inorganic N fertilizer was replaced by slow-release N fertilizer in this study, SRIF treatment resulted in higher NUE compared with IF treatment. Similar result was reported by <xref ref-type="bibr" rid="B23">Ke et al. (2017)</xref>, who observed that the combination of organic and inorganic N fertilizers (83.3%:16.7%) resulted in higher NUE than the application of inorganic N alone due to the relatively uniform N release from slow-release N fertilizer and the synchronization of the N release with the N requirement of rice.</p>
<p>Although it has been reported that NT promotes N losses through NH<sub>3</sub> volatilization, N leaching, and N runoff (<xref ref-type="bibr" rid="B50">Zhang et al., 2011</xref>; <xref ref-type="bibr" rid="B25">Liang et al., 2016</xref>), the combination of NT with retained residues could help to reduce the negative effects of NT on the N losses in paddy fields due to the improvement of properties, fertility and microbial activities in the soil, which can provide rice with sufficient N sources (<xref ref-type="bibr" rid="B18">Huang J. et al., 2012</xref>). In the present study, the previous crop resides were retained in the field, and thus no significant effect of tillage practices on NUE was observed (<bold>Table <xref ref-type="table" rid="T4">4</xref></bold>). The result was inconsistent with the result based on meta-analysis (<xref ref-type="bibr" rid="B25">Liang et al., 2016</xref>) that NT overall decreased N uptake and NUE. The discrepancy may be attributed to the differences in agricultural management practices, climate and soil property and the duration of NT (<xref ref-type="bibr" rid="B25">Liang et al., 2016</xref>).</p>
<p>Our previous study has reported that SRIF plus NT showed the lowest global warming potential and greenhouse gas intensity among all treatments (<xref ref-type="bibr" rid="B53">Zhang et al., 2016</xref>). Therefore, from this study, the SRIF plus NT treatment may be recommended as a sustainable strategy to reduce greenhouse gas and NH<sub>3</sub> emissions, and increase grain yield and NUE in central China.</p>
</sec>
</sec>
<sec><title>Conclusion</title>
<p>N sources remarkably affected NH<sub>3</sub> volatilization, NUE, and grain yield; while tillage practices had significant effects on NH<sub>3</sub> volatilization, but had no effects on grain yield and NUE. SRIF treatment resulted in relatively low NH<sub>3</sub> volatilization and high grain yield and NUE. Our results suggest that the combination of SRIF and NT is an economic and environmental strategy for mitigating greenhouse gas and NH<sub>3</sub> emissions, improving NUE, and increasing rice yields in central China.</p>
</sec>
<sec><title>Author Contributions</title>
<p>CL and CC designed the research. TL, JH, and KC performed the experiments. TL analyzed the data and wrote the manuscript. All of the authors read and approved the final manuscript.</p>
</sec>
<sec><title>Conflict of Interest Statement</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>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was funded by the National Natural Science Foundation of China (31471454, 31671637, and 31670447), State Key Special Program (2017YFD0301400), and Natural Science Foundation of Hubei Province (2016CFA017).</p>
</fn>
</fn-group>
<ack>
<p>We sincerely thank Peter Schr&#x00F6;der, the Guest Associate Editor, and the referees for their constructive suggestions and critical comments on the original manuscript.</p>
</ack>
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