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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2023.1204293</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Food Systems</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Soybean breeding in southwestern China improved P and N utilization efficiencies by increasing phosphorus and nitrogen partitioning to pods</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Xin</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dong</surname>
<given-names>Rui</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1773327/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Siddique</surname>
<given-names>Kadambot H. M.</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/266236/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>He</surname>
<given-names>Jin</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/670087/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jin</surname>
<given-names>Yi</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/458607/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Agriculture, Guizhou University</institution>, <addr-line>Guiyang, Guizhou Province</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Zoology, Guizhou University</institution>, <addr-line>Guiyang, Guizhou Province</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>The UWA Institute of Agriculture, The University of Western Australia</institution>, <addr-line>Perth, WA</addr-line>, <country>Australia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Raju Datla, Global Institute for Food Security (GIFS), Canada</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Juan Fernando Hirzel, Agricultural Research Institute (Chile), Chile; Zina Flagella, University of Foggia, Italy</p></fn>
<corresp id="c001">&#x002A;Correspondence: Jin He, <email>hejin0811@163.com</email></corresp>
<corresp id="c002">Yi Jin, <email>yking1225@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>7</volume>
<elocation-id>1204293</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Luo, Dong, Siddique, He and Jin.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Luo, Dong, Siddique, He and Jin</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>
<sec>
<title>Introduction</title>
<p>Soybean breeding in southwestern China has vastly improved soybean yields with the increasing demand for nutrients such as phosphorus (P) and nitrogen (N). This study aimed to assess the impact of soybean breeding on P and N utilization efficiencies.</p>
</sec>
<sec>
<title>Methods</title>
<p>Field experiments with split-plot experimental designs were conducted at two locations [Dafang (DF) and Shiqian (SQ)] in the 2019 growing season to determine the agronomic efficiency of P fertilizer (AEp), P and N utilization efficiencies, and P and N accumulation and partitioning in different soybean organs under 0 (P0) and 35 (P35) kg ha<sup>&#x2212;1</sup> P supply.</p>
</sec>
<sec>
<title>Results</title>
<p>The results showed that soybean breeding targeting high seed yield also improved AEp (<italic>p</italic> &#x003C; 0.05) and P (<italic>p</italic> &#x003C; 0.05) and N utilization efficiencies (<italic>p</italic> &#x003C; 0.05), with the improvement in AEp associated with the high yield response to P supply. P and N accumulation significantly increased in pods (<italic>p</italic> &#x003C; 0.05) and leaves (<italic>p</italic> &#x003C; 0.05) but not in stems or roots with year of release, while P and N concentrations did not change in any organ with year of release. In addition, only pod dry weight significantly increased (<italic>p</italic> &#x003C; 0.01) with year of release, and P and N partitioning increased to pods (<italic>p</italic> &#x003C; 0.05) but decreased to stems (<italic>p</italic> &#x003C; 0.05) with year of release. Correlation and PCA analyses revealed P and N utilization efficiencies positively correlated with P and N partitioning to pods but negatively correlated with P and N partitioning to stems. While P supply increased P and N accumulation, it reduced P utilization efficiency.</p>
</sec>
<sec>
<title>Discussion</title>
<p>We conclude that (1) soybean breeding improved AEp and P and N utilization efficiencies; (2) the increased P and N partitioning to pods but decreased partitioning to stems contributed to the high P and N utilization efficiencies in new soybean cultivars, reducing the demand for N and P; (3) P supply increased nutrient accumulation but reduced P utilization efficiency. These results highlight the significance of appropriate resource allocation among organs and efficient P management for enhancing nutrient utilization and reducing fertilizer requirements.</p>
</sec>
</abstract>
<kwd-group>
<kwd>nutrient utilization efficiency</kwd>
<kwd>genetic improvement</kwd>
<kwd>yield response</kwd>
<kwd>nutrient partitioning</kwd>
<kwd>nutrient accumulation</kwd>
</kwd-group>
<contract-num rid="cn1">32060427</contract-num>
<contract-sponsor id="cn1">National Natural Science Foundation of China
<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="11"/>
<word-count count="6617"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Crop Biology and Sustainability</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Soybean (<italic>Glycine max</italic> (L.) Merrill) is an important crop cultivated for its rich protein content (<xref ref-type="bibr" rid="ref43">Wu et al., 2015</xref>). However, in China, soybean production faces a shortfall in domestic soybean production, relying heavily on imports (&#x003E;80%). Southwestern China, a key soybean production area, has undertaken numerous efforts, including soybean breeding, to improve soybean yields (<xref ref-type="bibr" rid="ref45">Yang et al., 2022</xref>; <xref ref-type="bibr" rid="ref46">Zhang et al., 2022</xref>). Breeding programs aimed at increasing seed yield have significantly improved yields (<xref ref-type="bibr" rid="ref39">Todeschini et al., 2019</xref>; <xref ref-type="bibr" rid="ref6">de Felipe et al., 2020</xref>), primarily through increased biomass in China (<xref ref-type="bibr" rid="ref22">Jin et al., 2010</xref>; <xref ref-type="bibr" rid="ref45">Yang et al., 2022</xref>), United States (<xref ref-type="bibr" rid="ref3">Cafaro La Menza et al., 2017</xref>) and South America (<xref ref-type="bibr" rid="ref39">Todeschini et al., 2019</xref>). Increases in harvest index have contributed to soybean yield gains worldwide (<xref ref-type="bibr" rid="ref15">He et al., 2016</xref>; <xref ref-type="bibr" rid="ref39">Todeschini et al., 2019</xref>; <xref ref-type="bibr" rid="ref38">Tamagno et al., 2020</xref>; <xref ref-type="bibr" rid="ref13">Feng et al., 2022</xref>). Changes in yield components, such as seed number and seed size, have also been associated with increased soybean seed yields in China (<xref ref-type="bibr" rid="ref40">Wang et al., 2016</xref>; <xref ref-type="bibr" rid="ref30">Qin et al., 2017</xref>; <xref ref-type="bibr" rid="ref46">Zhang et al., 2022</xref>), United States (<xref ref-type="bibr" rid="ref23">Kumudini et al., 2001</xref>), and South America (<xref ref-type="bibr" rid="ref7">de Felipe et al., 2016</xref>). Genetic gains in soybean seed yield range from 0.4 to 2.2% y<sup>&#x2212;1</sup> worldwide and about 2.0% y<sup>&#x2212;1</sup> in southwestern China (<xref ref-type="bibr" rid="ref45">Yang et al., 2022</xref>). Improved lodging resistance has also helped boost yields during soybean breeding (<xref ref-type="bibr" rid="ref22">Jin et al., 2010</xref>; <xref ref-type="bibr" rid="ref23">Kumudini et al., 2001</xref>; <xref ref-type="bibr" rid="ref32">Rogers et al., 2015</xref>; <xref ref-type="bibr" rid="ref27">Milioli et al., 2022</xref>). However, the impact of soybean breeding on P and N utilization efficiencies in southwestern China remains unclear.</p>
<p>Nutrient uptake, especially nitrogen (N) and phosphorus (P) is vital for crop growth and productivity (<xref ref-type="bibr" rid="ref20">Jat and Bijay-Singh, 2014</xref>; <xref ref-type="bibr" rid="ref35">Salvagiotti et al., 2021</xref>; <xref ref-type="bibr" rid="ref26">Meng et al., 2022</xref>). Both P and N are involved in leaf photosynthesis, essential for crop growth, and high accumulation of these nutrients is important for achieving high seed yields (<xref ref-type="bibr" rid="ref37">Tamagno et al., 2017</xref>) and efficient nutrient utilization (<xref ref-type="bibr" rid="ref26">Meng et al., 2022</xref>). High nutrient accumulation is needed to accumulate high biomass (<xref ref-type="bibr" rid="ref3">Cafaro La Menza et al., 2017</xref>), associated with high seed number and/or seed size and, thus, seed yield (<xref ref-type="bibr" rid="ref19">He et al., 2019</xref>; <xref ref-type="bibr" rid="ref26">Meng et al., 2022</xref>). Thus high-yielding soybean cultivars have high N (<xref ref-type="bibr" rid="ref34">Salvagiotti et al., 2008</xref>; <xref ref-type="bibr" rid="ref14">Gaspar et al., 2017</xref>) and P accumulation (<xref ref-type="bibr" rid="ref17">He et al., 2017b</xref>, <xref ref-type="bibr" rid="ref19">2019</xref>), requiring increased P and N uptake through root inputs and/or modifications to root structure characteristics, such as increased adventitious root density and shallow root angle (<xref ref-type="bibr" rid="ref17">He et al., 2017b</xref>; <xref ref-type="bibr" rid="ref25">Lynch, 2019</xref>). Recent studies have shown that N accumulation increased with seed yield improvement during soybean breeding in Argentina (<xref ref-type="bibr" rid="ref6">de Felipe et al., 2020</xref>) and United States (<xref ref-type="bibr" rid="ref9">Donahue et al., 2020</xref>). However, the relative contributions of increased biomass and nutrient concentration to nutrient accumulation during soybean breeding are poorly understood. Enhancing nutrient utilization efficiencies (seed yield/total nutrient accumulation) under low fertilizer inputs can enhance yields and potentially reduce N and P demands, promoting sustainable agriculture and increasing food security (<xref ref-type="bibr" rid="ref1">An et al., 2018</xref>; <xref ref-type="bibr" rid="ref42">Wu et al., 2019</xref>). Nutrient utilization efficiencies have been associated with harvest index, a key trait determining grain yield (<xref ref-type="bibr" rid="ref26">Meng et al., 2022</xref>). Genetic variations in nutrient utilization efficiencies have been reported for various crops, including wheat (<xref ref-type="bibr" rid="ref29">Ortiz-Monasterio et al., 1997</xref>; <xref ref-type="bibr" rid="ref33">Sadras and Lawson, 2013</xref>), maize (<xref ref-type="bibr" rid="ref4">Ciampitti and Vyn, 2012</xref>), barley (<xref ref-type="bibr" rid="ref28">Muurinen et al., 2006</xref>; <xref ref-type="bibr" rid="ref2">Bingham et al., 2012</xref>), and cotton (<xref ref-type="bibr" rid="ref31">Rochester and Constable, 2015</xref>). However, the effects of breeding on nutrient use efficiencies vary among different species. For example, P and N utilization efficiencies significantly increased in cotton cultivars released in Australia from 1973 to 2006 (<xref ref-type="bibr" rid="ref31">Rochester and Constable, 2015</xref>), while N utilization efficiency did not change with year of release in barley cultivars (<xref ref-type="bibr" rid="ref28">Muurinen et al., 2006</xref>). These inconsistent results suggest that changes in nutrient utilization efficiency during cultivar improvement may be species-specific.</p>
<p>Understanding changes in nutrient partitioning among plant organs could help reduce N and P demands by directing limited nutrients to essential organs, such as reproductive organs. For example, increased seed biomass accumulation changes the N partitioning between other plant organs (<xref ref-type="bibr" rid="ref36">Sinclair, 1998</xref>). Nutrient partitioning is associated with biomass partitioning (<xref ref-type="bibr" rid="ref10">Donald and Hamblin, 1976</xref>; <xref ref-type="bibr" rid="ref37">Tamagno et al., 2017</xref>). While soybean breeding has increased plant biomass (<xref ref-type="bibr" rid="ref45">Yang et al., 2022</xref>), it remains unclear if dry weights and nutrient accumulation have improved in all organs, how P and N partitioning among organs has changed, and how P and N utilization efficiencies have been affected.</p>
<p>This study investigated changes in the agronomic efficiency of P fertilizer (AEp), P and N accumulation and utilization efficiencies, and their partitioning to different organs in a historic set of 12 soybean cultivars bred for high seed yield. The study was condcuted under two P rates [0 (P0) and 35 (P35) kg ha<sup>&#x2212;1</sup> P] at two field sites [Dafang (DF) and Shiqian (SQ)] during the 2019 growing season. The hypotheses tested were: (1) soybean breeding has increased P and N utilization efficiencies with seed yield; (2) enhanced P and N utilization efficiencies are associated with high P and N partitioning to pods.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<label>2.</label>
<title>Materials and methods</title>
<p>This study evaluated a historic set of 12 soybean cultivars (released from 1995 to 2016, <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>) grown by local farmers (past and present) at two field sites [Shiqian (SQ) and Dafang (DF)] in Guizhou Province, China, in 2019. The cultivars were collected from three provinces in southwest China (Sichuan, Yunnan, and Guizhou), where soybean breeding focused on increasing seed yield. All cultivars can grow in Guizhou province, with maturity times ranging from 115 to 121&#x2009;days after sowing (DAS) for SQ and 124 to 130 DAS for DF. The soil pH, total P, and plant available soil P were 6.8, 0.77&#x2009;g&#x2009;kg<sup>&#x2212;1</sup> and 33&#x2009;mg&#x2009;kg<sup>&#x2212;1</sup> for SQ, and 6.7, 0.92&#x2009;g&#x2009;kg<sup>&#x2212;1</sup> and 33&#x2009;mg&#x2009;kg<sup>&#x2212;1</sup> for DF, respectively. The mean temperature and precipitation were 849&#x2009;mm and 20.2&#x00B0;C for SQ and 573&#x2009;mm and 23.6&#x00B0;C for DF, respectively (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>). The split-plot design had two P levels [zero P (P0) and 35&#x2009;kg&#x2009;ha<sup>&#x2212;1</sup> (P35) applied as calcium superphosphate] as the main plots, with cultivars as the sub-plots. Each cultivar in each main plot had three replicates, for a total of 72 plots at each site. Each plot was 12.8&#x2009;m<sup>2</sup> (3.2&#x2009;m wide&#x2009;&#x00D7;&#x2009;4&#x2009;m long), with rows spaced 0.4&#x2009;m apart. The straight line between the two main plots was 2&#x2009;m. Two days before sowing, N and K fertilizers were applied to all plots as urea (75&#x2009;kg&#x2009;N&#x2009;ha<sup>&#x2212;1</sup>) and K<sub>2</sub>SO<sub>4</sub> (40&#x2009;kg&#x2009;K&#x2009;ha<sup>&#x2212;1</sup>) according to our previous study (<xref ref-type="bibr" rid="ref46">Zhang et al., 2022</xref>), with the same N and K rates used at both experimental sites. The fertilizers were broadcast and mixed into the soil using a rotary cultivator. The seeds were sown (April 2019) at about 5&#x2009;cm depth with a 40&#x2009;cm row spacing. After germination, each plot was thinned to 18 seedlings per m<sup>2</sup>. No irrigation was applied. Weeds were removed by hand, with pesticides used as needed. The upper 20&#x2009;cm of soil was collected to analyze the basic nutrient status before applying the fertilizer. Weather data were collected from weather stations near the field sites (straight-line distance ranged from 0.5&#x2013;19.2&#x2009;km).</p>
<sec id="sec3">
<label>2.1.</label>
<title>Plant sampling at the R6 growth stage in 2019</title>
<p>Plant samples were harvested at the R6 stage when the pods contained full-sized green beans on one of the four uppermost nodes with a completely unrolled leaf (<xref ref-type="bibr" rid="ref11">Fehr et al., 1971</xref>). For each plot, about 0.5&#x2009;m<sup>2</sup> of soybean plants were cut just above the soil surface, placed in paper bags, transported to the laboratory, divided into pods, leaves, and stems, and oven-dried at 60&#x00B0;C for 72&#x2009;h. After drying, the samples were weighed, stored, and later used to determine P and N concentrations. After shoot removal, a standard spade was used to excavate roots to 20&#x2009;cm depth (depth of most roots), which were washed carefully to remove root-attached soil, oven-dried at 80&#x00B0;C for 48&#x2009;h, and weighed. The root samples were stored for later determination of P and N concentrations.</p>
</sec>
<sec id="sec4">
<label>2.2.</label>
<title>P and N concentrations, accumulation, and partitioning</title>
<p>P and N concentrations were measured according to <xref ref-type="bibr" rid="ref19">He et al. (2019)</xref>. All samples were ground to a fine powder using an Ultra Centrifugal Mill (ZM200, Retsch, GmbH, D&#x00FC;sseldorf, Germany). Samples (~0.2&#x2009;g) were digested with H<sub>2</sub>SO<sub>4</sub>-H<sub>2</sub>O<sub>2</sub> to determine total N concentration using the Kjeldahl method (SKD-800, Shanghai Peiou Analytical Instruments Co. Ltd., Shanghai, China) and total P concentration using the molybdenum&#x2013;stibium anti-spectrophotometry method (UV-1800 Spectrophotometer, Shanghai Meipuda Instrument Co. Ltd., Shanghai, China). P (N) accumulation in pods (stems, leaves, roots) was obtained by multiplying pod (stem, leaf, root) P (N) concentration by pod (stem, leaf, root) DW. Total P (N) accumulation was obtained by summing P (N) accumulation in different plant parts. P (N) partitioning to pod (stem, leaf, root)&#x2009;=&#x2009;P (N) accumulation in pod (stem, leaf, root)/total P (N) accumulation (<xref ref-type="bibr" rid="ref12">Feng et al., 2021</xref>). The P and N utilization efficiencies calculated as (<xref ref-type="bibr" rid="ref26">Meng et al., 2022</xref>):</p>
<p>P utilization efficiency&#x2009;=&#x2009;seed yield/total P accumulation.</p>
<p>N utilization efficiency&#x2009;=&#x2009;seed yield/total N accumulation.</p>
</sec>
<sec id="sec5">
<label>2.3.</label>
<title>Agronomic efficiency of P fertilizer</title>
<p>Two center rows (0.8&#x2009;m&#x2009;&#x00D7;&#x2009;4&#x2009;m&#x2009;=&#x2009;3.2&#x2009;m<sup>2</sup>) in each plot were harvested at physiological maturity (<xref ref-type="bibr" rid="ref16">He et al., 2017a</xref>) before placing the pods into bags, transporting them to the laboratory, and oven-drying at 60&#x00B0;C for 72&#x2009;h. Dried pods were threshed by hand to remove the seeds, which were weighed to calculate seed yield (seed weight/harvest area). The agronomic efficiency of P fertilizer (AEp) and yield response to P were calculated as:</p>
<p>AEp&#x2009;=&#x2009;(seed yield at P35&#x2009;&#x2212;&#x2009;seed yield at P0)/P fertilizer application rate.</p>
<p>Yield response to P&#x2009;=&#x2009;(seed yield at P35&#x2009;&#x2212;&#x2009;seed yield at P0)/seed yield at P0.</p>
</sec>
<sec id="sec6">
<label>2.4.</label>
<title>Statistical analyses</title>
<p>A three-way analysis of variance (ANOVA) analyzed the effects of genotype, P level, location, and their interactions on P and N utilization efficiencies, pod, leaf, stem, and root dry weights, P and N concentrations, and P and N accumulation, and P and N partitioning to pod, leaves, stems, and roots using the GenStat 19.0 statistical package (VSN International Ltd., Rothamsted, England). Changes in the measured parameters with year of release were fitted with a linear model for each site. The linear or sigmoid model was used to evaluate the relationships between N utilization efficiency and N accumulation and partitioning to pods, leaves, stems, and roots and between P utilization efficiency and P accumulation and partitioning to pods, leaves, stems, and roots. All data determined in the field experiment were combined to perform principle component analysis (PCA) with Origin (Pro 2023, Origin Lab, Northampton, MA, United States).</p>
</sec>
</sec>
<sec id="sec7" sec-type="results">
<label>3.</label>
<title>Results</title>
<sec id="sec8">
<label>3.1.</label>
<title>P and N utilization efficiencies and the agronomic efficiency of P fertilizer</title>
<p>Soybean genotype and experimental site significantly affected P and N utilization efficiencies, while P level only affected P utilization efficiency (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). Genetic variation in P and N utilization among the 12 soybean cultivars occurred (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). The P utilization efficiencies at Shiqian (SQ) ranged from 92&#x2013;150&#x2009;g&#x2009;g<sup>&#x2212;1</sup> (average 121&#x2009;g&#x2009;g<sup>&#x2212;1</sup>) under 35&#x2009;kg&#x2009;P&#x2009;ha<sup>&#x2212;1</sup> (P35) supply and 115&#x2013;152&#x2009;g&#x2009;g<sup>&#x2212;1</sup> (average 137&#x2009;g&#x2009;g<sup>&#x2212;1</sup>) under 0&#x2009;kg&#x2009;P&#x2009;ha<sup>&#x2212;1</sup> (P0) supply, and at Dafang (DF) ranged from 73&#x2013;117&#x2009;g&#x2009;g<sup>&#x2212;1</sup> (average 100&#x2009;g&#x2009;g<sup>&#x2212;1</sup>) under P35 and 90&#x2013;138&#x2009;g&#x2009;g<sup>&#x2212;1</sup> (average 116&#x2009;g&#x2009;g<sup>&#x2212;1</sup>) under P0 (<xref rid="fig1" ref-type="fig">Figure 1</xref>). P supply significantly decreased P utilization efficiency at SQ (19%; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and DF (16%; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>; <xref rid="fig1" ref-type="fig">Figures 1A</xref>,<xref rid="fig1" ref-type="fig">B</xref>). The yield response to P application ranged from 5.5&#x2013;32.7 at SQ and 7.8&#x2013;39.5 at DF (<xref rid="fig1" ref-type="fig">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Changes in soybean <bold>(A)</bold> P and <bold>(B)</bold> N utilization efficiencies with year of release under 0 (P0) and 35 (P35) kg&#x2009;ha<sup>&#x2212;1</sup> P supply and changes in <bold>(C)</bold> yield response to P and <bold>(D)</bold> agronomy efficiency of P with year of release at Shiqian (SQ) and Dafang (DF). &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</caption>
<graphic xlink:href="fsufs-07-1204293-g001.tif"/>
</fig>
</sec>
<sec id="sec9">
<label>3.2.</label>
<title>P and N concentrations, accumulation, and partitioning to different plant parts</title>
<p>Soybean genotype, P level, experimental site, and their interactions significantly affected P and N concentrations in pods, leaves, stems, and roots, genotype and P level significantly affected leaf and pod dry weights, and genotype and experimental site significantly affected root and stem dry weights. For genotypes, root dry weights ranged from 0.95 to 2.78&#x2009;g plant<sup>&#x2212;1</sup> (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and stem dry weights ranged from 5.77 to 9.45&#x2009;g plant<sup>&#x2212;1</sup> (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Average root dry weights were 1.8&#x2009;g plant<sup>&#x2212;1</sup> at SQ and 1.6&#x2009;g plant<sup>&#x2212;1</sup> at DF (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and average stem dry weights were 6.7&#x2009;g plant<sup>&#x2212;1</sup> at SQ and 7.2&#x2009;g plant<sup>&#x2212;1</sup> at DF (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). P supply significantly increased pod (18%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and leaf (16%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) dry weights but did not affect stem or root dry weights (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>; <xref rid="fig2" ref-type="fig">Figure 2</xref>). Only soybean genotype and P level affected pod and leaf P accumulation (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). P supply increased P accumulation in pods (25%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), leaves (31%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and stems (69%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>; <xref rid="fig3" ref-type="fig">Figures 3A</xref>,<xref rid="fig3" ref-type="fig">C</xref>,<xref rid="fig3" ref-type="fig">E</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Changes in soybean <bold>(A)</bold> pod, <bold>(B)</bold> leaf, <bold>(C)</bold> stem, and <bold>(D)</bold> root dry weights and <bold>(E)</bold>, <bold>(I)</bold> pod, <bold>(F)</bold>, <bold>(J)</bold> leaf, <bold>(G)</bold>, <bold>(K)</bold> stem, and <bold>(H)</bold>, <bold>(L)</bold> root P and N concentrations with year of release under 0 (P0) and 35 (P35) kg&#x2009;ha<sup>&#x2212;1</sup> P supply at Shiqian (SQ) and Dafang (DF). &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01 and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</caption>
<graphic xlink:href="fsufs-07-1204293-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Changes in soybean <bold>(A)</bold>, <bold>(B)</bold> pod, <bold>(C)</bold>, <bold>(D)</bold> leaf, <bold>(E)</bold>, <bold>(F)</bold> stem, and <bold>(G)</bold>, <bold>(H)</bold> root P and N accumulation with year of release under 0 (P0) and 35 (P35) kg&#x2009;ha<sup>&#x2212;1</sup> P supply at Shiqian (SQ) and Dafang (DF). &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</caption>
<graphic xlink:href="fsufs-07-1204293-g003.tif"/>
</fig>
<p>Genetic variations in nutrient partitioning to different plant parts occurred (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), which were significantly affected by soybean genotype, P level, experimental site, and their interactions (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). Pods had the highest P and N partitioning (average 47% for P, 51% for N), while roots had the lowest (3.5% for P, 1.3% for N; <xref rid="fig4" ref-type="fig">Figure 4</xref>). P supply decreased P and N partitioning to pods (9.4% for P, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; 6.9% for N, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) but increased P partitioning to stems (18.5% for P, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; 5.9% for N, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>; <xref rid="fig4" ref-type="fig">Figures 4A</xref>,<xref rid="fig4" ref-type="fig">E</xref>). SQ had significantly higher N partitioning to pods than DF (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and the reverse was true for N partitioning to stems (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <xref rid="fig4" ref-type="fig">Figures 4B</xref>,<xref rid="fig4" ref-type="fig">F</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Changes in soybean <bold>(A)</bold>, <bold>(B)</bold> pod, <bold>(C)</bold>, <bold>(D)</bold> leaf, <bold>(E)</bold>, <bold>(F)</bold> stem, and <bold>(G)</bold>, <bold>(H)</bold> root P and N partitioning with year of release under 0 (P0) and 35 (P35) kg&#x2009;ha<sup>&#x2212;1</sup> P supply at Shiqian (SQ) and Dafang (DF). &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</caption>
<graphic xlink:href="fsufs-07-1204293-g004.tif"/>
</fig>
</sec>
<sec id="sec10">
<label>3.3.</label>
<title>Correlation analysis</title>
<p>P utilization efficiency positively correlated with pod P accumulation (<italic>r</italic>&#x2009;=&#x2009;0.44, <italic>p</italic>&#x2009;=&#x2009;0.009) but negatively correlated with leaf (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.52, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and stem (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.62, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) P accumulation (<xref rid="fig5" ref-type="fig">Figure 5</xref>). N utilization efficiency positively correlated with pod N accumulation (<italic>r</italic>&#x2009;=&#x2009;0.55, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) but negatively correlated with stem P accumulation (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.58, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <xref rid="fig6" ref-type="fig">Figure 6</xref>). P and N utilization efficiencies positively correlated with pod P (<italic>r</italic>&#x2009;=&#x2009;0.59, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and N (<italic>r</italic>&#x2009;=&#x2009;0.51, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) partitioning but negatively correlated with stem P (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.50, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and N (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.50, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) partitioning, respectively (<xref rid="fig5" ref-type="fig">Figures 5</xref>, <xref rid="fig6" ref-type="fig">6</xref>). The principal component analysis showed a clear separation into two groups related to P rate (<xref rid="fig7" ref-type="fig">Figure 7</xref>). PC1 and PC2 represent 52.7% of the variation, with P and N utilization efficiencies, pod and root P and N partitioning, pod N concentration, and root dry weight tending to increase under P0. In contrast, P and N accumulation, leaf and pod dry weights, and leaf and pod P and N accumulation tend to increase under P35.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Relationship between P utilization efficiency and <bold>(A)</bold> pod P accumulation, <bold>(B)</bold> leaf P accumulation, <bold>(C)</bold> stem P accumulation, <bold>(D)</bold> root P accumulation, <bold>(E)</bold> pod P partitioning, <bold>(F)</bold> leaf P partitioning, <bold>(G)</bold> stem P partitioning, and <bold>(H)</bold> root P partitioning under 0 (P0) and 35 (P35) kg&#x2009;ha<sup>&#x2212;1</sup> P supply at Shiqian (SQ) and Dafang (DF).</p>
</caption>
<graphic xlink:href="fsufs-07-1204293-g005.tif"/>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Relationship between N utilization efficiency and <bold>(A)</bold> pod N accumulation, <bold>(B)</bold> leaf N accumulation, <bold>(C)</bold> stem N accumulation, <bold>(D)</bold> root N accumulation, <bold>(E)</bold> pod N partitioning, <bold>(F)</bold> leaf N partitioning, <bold>(G)</bold> stem N partitioning, and <bold>(H)</bold> root N partitioning under 0 (P0) and 35 (P35) kg&#x2009;ha<sup>&#x2212;1</sup> P supply at Shiqian (SQ) and Dafang (DF).</p>
</caption>
<graphic xlink:href="fsufs-07-1204293-g006.tif"/>
</fig>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>The principle component analysis (PCA) of the measured parameters in a historic set of 12 soybean cultivars under 0 (P0) and 35 (P35) kg&#x2009;P&#x2009;ha<sup>&#x2212;1</sup> supply in two experiment sites. PUE, P utilization efficiency; NUE, N utilization efficiency; PDW, pod dry weight; LDW, leaf dry weight; SDW, stem dry weight; RDW, root dry weight; PPC, pod P concentration; LPC, leaf P concentration; SPC, stem P concentration; RPC, root P concentration; PNC, pod N concentration; LNC, leaf N concentration; SNC, stem N concentration; RNC, root N concentration; PPA, pod P accumulation; LPA, leaf P accumulation; SPA, stem P accumulation; RPA, root P accumulation; PA, P accumulation; PNA, pod N accumulation; LNA, leaf N accumulation; SNA, stem N accumulation; RNA, root N accumulation; NA, P accumulation; Pod PP, pod P partition; Leaf PP, leaf P partition; Stem PP, stem P partition; Root PP, root P partition; Pod NP, pod N partition; Leaf NP, leaf N partition; Stem NP, stem N partition; Root NP, root N partition.</p>
</caption>
<graphic xlink:href="fsufs-07-1204293-g007.tif"/>
</fig>
</sec>
<sec id="sec11">
<label>3.4.</label>
<title>Changes in AEp and P and N accumulation, partitioning, and utilization efficiencies with year of release</title>
<p>P and N utilization efficiencies significantly (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) increased from 1995 to 2016 under both P levels at both sites (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>; <xref rid="fig1" ref-type="fig">Figures 1A</xref>,<xref rid="fig1" ref-type="fig">B</xref>). The yield response to P fertilizer significantly increased with year of release (<italic>p</italic>&#x2009;=&#x2009;0.04) at SQ (<xref rid="fig1" ref-type="fig">Figure 1C</xref>). The agronomic efficiency of P fertilizer (AEp) also significantly increased (<italic>p</italic>&#x2009;=&#x2009;0.04 for DF and <italic>p</italic>&#x2009;=&#x2009;0.016 for SQ) during soybean breeding from 1995&#x2013;2016 (<xref rid="fig1" ref-type="fig">Figure 1D</xref>), ranging from 2.4&#x2013;23.4 at SQ and 3.3&#x2013;21.3 at DF. Pod dry weight significantly increased (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) with year of release at SQ and DF under P35 and P0, while leaf, stem, and root dry weights did not change (<xref rid="fig2" ref-type="fig">Figure 2</xref>). P and N concentrations in pods, leaves, stems, and roots did not change with year of release (<xref rid="fig2" ref-type="fig">Figure 2</xref>). Pod P (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01) and N (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) accumulation significantly increased with year of release (<xref rid="fig3" ref-type="fig">Figure 3</xref>). Leaf P accumulation significantly increased (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) with year of release; leaf N accumulation had a weak positive correlation (<italic>p</italic>&#x2009;=&#x2009;0.07) with year of release under P35 (<xref rid="fig3" ref-type="fig">Figures 3C</xref>,<xref rid="fig3" ref-type="fig">D</xref>). Stem and root P and N accumulation did not change with year of release (<xref rid="fig3" ref-type="fig">Figures 3E</xref>&#x2013;<xref rid="fig3" ref-type="fig">H</xref>). P and N partitioning significantly increased to pods (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) but decreased to stems (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) with year of release (<xref rid="fig4" ref-type="fig">Figure 4</xref>). P and N partitioning to leaves and roots did not change with year of release (<xref rid="fig4" ref-type="fig">Figure 4</xref>).</p>
</sec>
</sec>
<sec id="sec12" sec-type="discussions">
<label>4.</label>
<title>Discussion</title>
<p>The newer soybean cultivars exhibited higher seed yields and greater yield responses to P application than older cultivars. The higher seed yields of newer cultivars are the result of soybean breeding efforts worldwide (<xref ref-type="bibr" rid="ref22">Jin et al., 2010</xref>; <xref ref-type="bibr" rid="ref39">Todeschini et al., 2019</xref>; <xref ref-type="bibr" rid="ref6">de Felipe et al., 2020</xref>; <xref ref-type="bibr" rid="ref44">Yang et al., 2020</xref>, <xref ref-type="bibr" rid="ref45">2022</xref>). The greater yield response to P application in the newer cultivars can be attributed to the significant yield improvements compared to older cultivars under P supply, leading to improved agronomic efficiency of P fertilizer (AEp). In maize, increased yield with N fertilizer supply was associated with increased grain numbers (<xref ref-type="bibr" rid="ref24">Liu et al., 2022</xref>), indicating the important role of yield components in the yield response to fertilizer supply, such as seed number and seed size (<xref ref-type="bibr" rid="ref23">Kumudini et al., 2001</xref>; <xref ref-type="bibr" rid="ref7">de Felipe et al., 2016</xref>; <xref ref-type="bibr" rid="ref40">Wang et al., 2016</xref>; <xref ref-type="bibr" rid="ref30">Qin et al., 2017</xref>; <xref ref-type="bibr" rid="ref46">Zhang et al., 2022</xref>). Understanding the underlying mechanisms responsible for soybean&#x2019;s high response to P supply, particularly related to yield components, would be valuable for future research.</p>
<p>Soybean breeding simultaneously increased yield and P and N accumulation, consistent with similar studies in Argentina (<xref ref-type="bibr" rid="ref6">de Felipe et al., 2020</xref>) and United States (<xref ref-type="bibr" rid="ref9">Donahue et al., 2020</xref>). High N accumulation positively correlated with leaf and pod biomass (<xref rid="fig7" ref-type="fig">Figure 7</xref>), indicating that increased soil N uptake sustains leaf and seed development (<xref ref-type="bibr" rid="ref19">He et al., 2019</xref>; <xref ref-type="bibr" rid="ref21">Jin et al., 2022</xref>). Similarly, high P accumulation may be associated with root traits associated with P acquisition (<xref ref-type="bibr" rid="ref17">He et al., 2017b</xref>, <xref ref-type="bibr" rid="ref18">2021</xref>; <xref ref-type="bibr" rid="ref25">Lynch, 2019</xref>). While soybean breeding did not change root dry weights, which did not correlate with P or N accumulation (<xref rid="fig7" ref-type="fig">Figure 7</xref>), other root traits, such as shallow root growth angle, could improve P uptake (<xref ref-type="bibr" rid="ref25">Lynch, 2019</xref>) and contribute to P and N accumulation.</p>
<p>In this study, biomass accumulation increased during soybean breeding, consistent with other studies (<xref ref-type="bibr" rid="ref22">Jin et al., 2010</xref>; <xref ref-type="bibr" rid="ref39">Todeschini et al., 2019</xref>; <xref ref-type="bibr" rid="ref6">de Felipe et al., 2020</xref>; <xref ref-type="bibr" rid="ref45">Yang et al., 2022</xref>), which could play a role in increasing nutrient accumulation. Soybean breeding did not change P and N concentrations despite the increase in biomass, suggesting that the increase in biomass accumulation primarily drives P and N accumulation, which is influenced by factors such as the duration after flowering (<xref ref-type="bibr" rid="ref45">Yang et al., 2022</xref>) and/or high photosynthesis rate (<xref ref-type="bibr" rid="ref39">Todeschini et al., 2019</xref>). However, it is important to consider the role of soil nutrient status in nutrient accumulation. For example, DF with high soil-available P had higher P and N concentrations than SQ with low soil-available P, which were associated with the high leaf and stem P and N accumulation driven by the high stem and leaf biomass. Thus, soil nutrient status can increase nutrient accumulation by increasing biomass accumulation.</p>
<p>P and N accumulation increased with P supply. In addition, P and N accumulation positively correlated with leaf and pod dry weights (<xref rid="fig7" ref-type="fig">Figure 7</xref>) without diluting P and N concentrations, indicating that biomass accumulation with P supply primarily drove pod and leaf P accumulation. Pods had significantly higher genetic gains in P and N accumulation (average 26.9&#x2009;mg&#x2009;m<sup>&#x2212;2</sup> y<sup>&#x2212;1</sup> for P, 239&#x2009;mg&#x2009;m<sup>&#x2212;2</sup> y<sup>&#x2212;1</sup> for N) than leaves (11.9&#x2009;mg&#x2009;m<sup>&#x2212;2</sup> y<sup>&#x2212;1</sup> for P, 91&#x2009;mg&#x2009;m<sup>&#x2212;2</sup> y<sup>&#x2212;1</sup> for N), demonstrating that pods contributed more to P and N accumulation than leaves. The high genetic gains of pod P and N accumulation were also associated with the high demand for P and N during seed development; furthermore, the partitioning of P and N from leaves to seeds also contributed to pod P and N accumulation (<xref ref-type="bibr" rid="ref14">Gaspar et al., 2017</xref>). Thus, enhanced pod P and N accumulation was associated with high seed numbers, a key driver for seed yield improvement during soybean breeding (<xref ref-type="bibr" rid="ref22">Jin et al., 2010</xref>; <xref ref-type="bibr" rid="ref19">He et al., 2019</xref>; <xref ref-type="bibr" rid="ref45">Yang et al., 2022</xref>).</p>
<sec id="sec13">
<label>4.1.</label>
<title>Nutrient partitioning and utilization efficiency</title>
<p>Soybean breeding improved P and N utilization efficiencies, supporting our first hypothesis. Seed yield had a higher genetic gain (average 2.0% y<sup>&#x2212;1</sup>) than P (1.2% y<sup>&#x2212;1</sup>) or N accumulation (1.0% y<sup>&#x2212;1</sup>), contributing to improved P and N utilization efficiencies. Similar improvements in P and N utilization efficiencies have been observed in other crops, such as wheat (<xref ref-type="bibr" rid="ref29">Ortiz-Monasterio et al., 1997</xref>; <xref ref-type="bibr" rid="ref33">Sadras and Lawson, 2013</xref>), cotton (<xref ref-type="bibr" rid="ref31">Rochester and Constable, 2015</xref>), and rice (<xref ref-type="bibr" rid="ref26">Meng et al., 2022</xref>). However, it is worth noting that P and N utilization efficiencies can vary among cultivars and crops (<xref ref-type="bibr" rid="ref8">Dhugga and Waines, 1989</xref>; <xref ref-type="bibr" rid="ref29">Ortiz-Monasterio et al., 1997</xref>; <xref ref-type="bibr" rid="ref4">Ciampitti and Vyn, 2012</xref>), as observed in the soybean cultivars used in this study. Soybean had higher P and N utilization efficiencies (74&#x2013;152&#x2009;g&#x2009;g<sup>&#x2212;1</sup> for P, 15&#x2013;22&#x2009;g&#x2009;g<sup>&#x2212;1</sup> for N) than cotton (65&#x2013;80&#x2009;g&#x2009;g<sup>&#x2212;1</sup> for P, 12&#x2013;15&#x2009;g&#x2009;g<sup>&#x2212;1</sup> for N; <xref ref-type="bibr" rid="ref31">Rochester and Constable, 2015</xref>), but lower P and N utilization efficiencies than rice (159&#x2013;180&#x2009;g&#x2009;g<sup>&#x2212;1</sup> for P, 45&#x2013;54&#x2009;g&#x2009;g<sup>&#x2212;1</sup> for N; <xref ref-type="bibr" rid="ref26">Meng et al., 2022</xref>), indicating room for improvement in soybean. The P supply reduced the P utilization efficiency (<xref rid="fig7" ref-type="fig">Figure 7</xref>) at both sites, possibly because the rate of seed yield improvement (16.8%) with P supply was lower than the rate of P accumulation (33.2%). Despite the impact of soybean breeding on P utilization efficiency, the PUE was significantly affected by the interaction of genotype and P rate (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). Moreover, SQ with low plant-available soil P had a significantly higher P utilization efficiency than DF with high soil-available P, highlighting the importance of soil P status and P management practices in regulating P utilization efficiency. One possible explanation for the difference between the two sites is the lower average P accumulation at SQ (1.8&#x2009;g&#x2009;m<sup>&#x2212;2</sup>) than DF (2.2&#x2009;g&#x2009;m<sup>&#x2212;2</sup>) but similar seed yield.</p>
<p>In this study, P and N partitioning significantly increased to pods but decreased to stems during soybean breeding, with this trend consistent across the two P rates tested. Decreased nutrient partitioning to low-demand organs such as stems and increased partitioning to seeds can enhance yield (<xref ref-type="bibr" rid="ref41">Weiner, 2019</xref>). This trade-off between P and N partitioning in pods and stems during soybean breeding was important for improving nutrient utilization efficiencies (<xref ref-type="bibr" rid="ref4">Ciampitti and Vyn, 2012</xref>, <xref ref-type="bibr" rid="ref5">2013</xref>). The increase in P and N partitioning to seeds is likely associated with the increase in seed number, the key driver of yield improvement during crop breeding (<xref ref-type="bibr" rid="ref22">Jin et al., 2010</xref>; <xref ref-type="bibr" rid="ref30">Qin et al., 2017</xref>; <xref ref-type="bibr" rid="ref26">Meng et al., 2022</xref>; <xref ref-type="bibr" rid="ref46">Zhang et al., 2022</xref>). More seeds require increased P and N to support seed development and quality, including protein formation. Thus, increasing seed yield through higher seed numbers could increase P and N partitioning to seeds and subsequently improve P and N utilization efficiencies. In addition, nutrient partitioning may be related to dry matter partitioning, as indicated by the increased harvest index (pod harvest index) and decreased dry matter partitioning to stems during soybean breeding (<xref ref-type="bibr" rid="ref45">Yang et al., 2022</xref>). On the other hand, the trade-off between P and N partitioning to pods and stems could reduce P and N demand, as supported by the lower genetic gains for P (average 1.2% y<sup>&#x2212;1</sup>) and N accumulation (1.0% y<sup>&#x2212;1</sup>) than seed yield (2.0% y<sup>&#x2212;1</sup>). Thus P and N partitioning can help improve P and N utilization efficiencies, supporting our second hypothesis.</p>
</sec>
</sec>
<sec id="sec14" sec-type="conclusions">
<label>5.</label>
<title>Conclusion</title>
<p>This study evaluates whether soybean breeding increased P and N utilization efficiencies in southwestern China. We confirmed that selecting for high seed yield during soybean breeding improved P and N utilization efficiencies, attributed to increased P and N partitioning to pods while reducing their partitioning to stems. The increased P and N accumulation in pods, driven by pod biomass, played a significant role in the overall P and N accumulation during soybean breeding. We conclude that soybean breeding increased P and N utilization efficiencies by regulating P and N accumulation and partitioning.</p>
</sec>
<sec id="sec15" 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="sec16">
<title>Author contributions</title>
<p>JH and YJ conceived the experiments. XL and RD performed the experiments. XL, YJ, and RD analyzed the data. XL, KS, and JH wrote this manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="sec17">
<title>Funding</title>
<p>This research was supported by the National Natural Science Foundation of China (32060427), Guizhou Science and Technology Support Program Project (Qiankehezhicheng (2021) yiban217).</p>
</sec>
<sec sec-type="COI-statement" id="sec18">
<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="sec100" 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>
</sec>
</body>
<back>
<sec id="sec19" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fsufs.2023.1204293/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fsufs.2023.1204293/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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