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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Agron.</journal-id>
<journal-title>Frontiers in Agronomy</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Agron.</abbrev-journal-title>
<issn pub-type="epub">2673-3218</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fagro.2025.1604840</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Agronomy</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Temporal changes in grain yield and quality of rice varieties released in Guangdong Province, China (1990&#x2013;2020)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Huifang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Longmei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Bin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Taotao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2259759/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zou</surname>
<given-names>Jixiang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Engineering, Guangzhou College of Technology and Business</institution>, <addr-line>Foshan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Rice Research Institute, Guangdong Academy of Agricultural Sciences</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ping Liao, Yangzhou University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yanhua Zeng, Jiangxi Agricultural University, China</p>
<p>Jiana Chen, Hunan Agricultural University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Taotao Yang, <email xlink:href="mailto:15170477995@163.com">15170477995@163.com</email>; Jixiang Zou, <email xlink:href="mailto:Zjx_xy660713@163.com">Zjx_xy660713@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>7</volume>
<elocation-id>1604840</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Yang, Wu, Zhang, Yang and Zou</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yang, Wu, Zhang, Yang and Zou</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>Over the past three decades, Guangdong Province has released numerous rice varieties, but comprehensive analyses of their yield and quality characteristics remain limited.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study systematically evaluated a total of 982 rice varieties released in Guangdong Province from 1990 to 2020, focusing on grain yield, yield components, and quality parameters.</p>
</sec>
<sec>
<title>Results and discussion</title>
<p>The results revealed that the number of inbred rice varieties was significantly lower than that of hybrid rice varieties, while the number of high-quality late rice varieties was greater than that of high-quality early rice varieties. Temporal analysis showed significant increases in the release of inbred rice, hybrid rice, and high-quality hybrid late rice varieties. Hybrid rice demonstrated superior grain yield (6.98&#xa0;t hm<sup>&#x2212;2</sup>) compared to inbred rice (6.50&#xa0;t hm<sup>&#x2212;2</sup>), which was primarily attributable to enhanced spikelet per panicle and grain weight. Both inbred and hybrid rice exhibited significant yield improvements over time, driven by increases in spikelet per panicle, filled grain percentage, or grain weight. Notably, the panicle number of both inbred and hybrid rice displayed a significant declining trend. Quality analysis indicated that inbred rice surpassed hybrid rice in head rice rate and chalkiness, while late rice outperformed early rice in these parameters. Early rice exhibited higher gel consistency but lower amylose content compared to late rice. However, both inbred and hybrid rice showed declining trends in head rice rate, chalkiness, and amylose content over the study period. In the future, rice breeding strategies in Guangdong should focus on improving spikelet per panicle and grain weight in inbred rice, and enhancing panicle number in both inbred and hybrid rice varieties to achieve further yield improvement. Furthermore, the development of new varieties should prioritize higher head rice rate, particularly for early rice. These findings provide crucial insights into the evolving patterns of grain yield and quality in Guangdong Province, offering valuable guidance for future breeding strategies and cultivation practices.</p>
</sec>
</abstract>
<kwd-group>
<kwd>released rice varieties</kwd>
<kwd>Guangdong Province</kwd>
<kwd>rice yield</kwd>
<kwd>quality parameters</kwd>
<kwd>hybrid and inbred rice</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="13"/>
<word-count count="5186"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Climate-Smart Agronomy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Rice (<italic>Oryza sativa</italic> L.), a cornerstone of China&#x2019;s agricultural production, is one of the most vital food crops in the country. Guangdong Province, a key economic, demographic, and agricultural hub, has historically been a major rice-producing region, with rice serving as its staple crop. The evolution of rice breeding in Guangdong can be traced back to the early 20th century, progressing through distinct phases such as dwarf breeding, hybrid rice breeding, super rice breeding, high-quality breeding, and molecular genetic breeding (<xref ref-type="bibr" rid="B18">Liu et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B35">Zhou et&#xa0;al., 2022</xref>). Over the past three decades, the province has witnessed a substantial rise in the number of newly bred and released rice varieties, driving multiple generational shifts in rice traits (<xref ref-type="bibr" rid="B18">Liu et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B25">Wang, 2024</xref>).</p>
<p>However, rice production in Guangdong Province has encountered a bottleneck in terms of cultivation area, total yield, and yield per unit area. In the early 1990s, the rice cultivation area exceeded 3.1 million hectares, yielding 16.8 million tons (<xref ref-type="bibr" rid="B9">Guangdong Rural Statistical Yearbook Editorial Board, 1991&#x2013;2021</xref>). In recent years, the cultivation area has stabilized at approximately 1.8 million hectares, with yields maintaining around 11.0 million tons (<xref ref-type="bibr" rid="B9">Guangdong Rural Statistical Yearbook Editorial Board, 1991&#x2013;2021</xref>). Additionally, the rice yield per unit area in Guangdong has exhibited significant fluctuations, peaking at 6.30&#xa0;t hm<sup>&#x2212;2</sup> in 2000 before gradually declining and stabilizing at approximately 6.00&#xa0;t hm<sup>&#x2212;2</sup>, which is notably lower than the national average of 7.19&#xa0;t hm<sup>&#x2212;2</sup> (<xref ref-type="bibr" rid="B9">Guangdong Rural Statistical Yearbook Editorial Board, 1991&#x2013;2021</xref>). These trends are closely linked to the characteristics of the varieties released and promoted during these periods. Moreover, global climate change, population growth, shrinking arable land, and environmental constraints pose unprecedented challenges to rice production in the region.</p>
<p>With the advancement of socio-economic development and the improvement of living standards, the demand for high-quality rice has significantly increased, making quality a pivotal criterion in rice variety selection and breeding. Guangdong Province, located in the south of subtropical China, benefits from abundant temperature, light, and water resources, positioning it as a leader in the breeding of high-quality rice varieties. Over the years, Guangdong has been at the forefront of high-quality <italic>indica</italic> rice breeding, releasing numerous superior varieties and establishing itself as a major production base for high-quality <italic>indica</italic> rice, with Simiao rice gaining particular recognition.</p>
<p>Recent studies have explored the impact of rice breeding processes on grain yield and rice quality improvements in China, summarizing trends in yield and quality for <italic>indica</italic> and <italic>japonica</italic> rice, as well as for early, mid-season, and late rice across different regions (<xref ref-type="bibr" rid="B28">Wang et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B6">Fei et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B35">Zhou et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B38">Zou et&#xa0;al., 2024</xref>). However, most of these studies have focused on specific time periods or localized areas, leaving a gap in the systematic analysis of the effects of varietal evolution in Guangdong Province on rice yield and quality. Therefore, there is an urgent need to elucidate these changes through long-term data analysis to better understand the temporal changes in rice breeding in this region.</p>
<p>This study focuses on data from rice varieties released in Guangdong from 1990 to 2020, analyzing key agronomic traits such as grain yield and rice quality, and their evolutionary trends. The objectives of this research are threefold: (1) to assess the contribution of varietal improvement to grain yield and quality, (2) to identify bottlenecks in trait advancement, and (3) to propose breeding strategies aligned with sustainable production goals. By addressing these objectives, the study aims to provide critical insights for optimizing rice breeding in Guangdong and other similar subtropical regions, addressing the dual imperatives of productivity and quality in the context of a changing climate.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<p>In this study, the grain yield, growth period, yield components, and quality data of a total of 982 rice varieties released in Guangdong Province from 1990 to 2020 were obtained from the Big Data Platform of the China Seed Industry (<uri xlink:href="http://202.127.42.232/SDSite/Home/Index">http://202.127.42.232/SDSite/Home/Index</uri>). Varieties were categorized into four major types based on season and genotype: inbred early rice (IER), inbred late rice (ILR), hybrid early rice (HER), and hybrid late rice (HLR). The grain yield data represent the average yield of the regional trials over two years. Additionally, rice varieties that meet the standards of &#x201c;Cooking Rice Variety Quality&#x201d; (<xref ref-type="bibr" rid="B20">NY/T 593-2013, 2013</xref>) or &#x201c;High Quality Long-Grain Paddy in Guangdong&#x201d; (<xref ref-type="bibr" rid="B5">DB44/ 181-2004, 2004</xref>) and achieve third-grade quality or above are classified as high-quality rice varieties, and are divided into four categories: high-quality inbred early rice (HQIER), high-quality inbred late rice (HQILR), high-quality hybrid early rice (HQHER), and high-quality hybrid late rice (HQHLR). Statistical analysis was conducted using Microsoft Excel 2021 and SPSS 20 software.</p>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>The number of released rice varieties</title>
<p>From 1990 to 2020, a total of 149 IER, 174 ILR, 319 HER, and 340 HLR varieties were released in Guangdong Province (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Among these, 60 HQIER (40.3%), 147 HQILR (84.5%), 45 HQHER (14.1%), and 219 HQHLR (64.4%) were identified as high-quality varieties (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, C</bold>
</xref>). The number of IER, ILR, HER, and HLR showed a significant increasing trend, with HER and HLR exhibiting a higher rate of increase than IER and ILR (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;D</bold>
</xref>). Differently, the number of HQIER, HQILR, and HQHER did not show a significant trend (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2E&#x2013;G</bold>
</xref>), while HQHLR demonstrated a significant increase (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2H</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The number of rice varieties released in Guangdong Province from 1990 to 2020. IER, inbred early rice; ILR, inbred late rice; HER, hybrid early rice; HLR, hybrid late rice; HQIER, high-quality inbred early rice; HQILR, high-quality inbred late rice; HQHER, high-quality hybrid early rice; HQHLR, high-quality hybrid late rice.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1604840-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Trends in rice varieties released in Guangdong Province from 1990 to 2020. IER, inbred early rice; ILR, inbred late rice; HER, hybrid early rice; HLR, hybrid late rice; HQIER, high-quality inbred early rice; HQILR, high-quality inbred late rice; HQHER, high-quality hybrid early rice; HQHLR, high-quality hybrid late rice. <sup>**</sup> indicates significance at <italic>P</italic> &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1604840-g002.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Grain yield, growth period, and yield components of released rice varieties</title>
<p>The average grain yields of IER, ILR, HER, and HLR in Guangdong Province were 6.54&#xa0;t hm<sup>&#x2212;2</sup>, 6.46&#xa0;t hm<sup>&#x2212;2</sup>, 7.02&#xa0;t hm<sup>&#x2212;2</sup>, and 6.94&#xa0;t hm<sup>&#x2212;</sup>&#xb2;, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). HER and HLR exhibited significantly higher yields than IER and ILR, with increases of 0.48&#xa0;t hm<sup>&#x2212;2</sup> each. The growth period varied significantly between seasons, with IER and HER showing 15.3 and 11.5 days longer durations than ILR and HLR, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Yield components, including panicle number, spikelet per panicle, filled grain percentage, and grain weight, differed significantly between inbred and hybrid rice (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C&#x2013;F</bold>
</xref>). Compared to IER and ILR, HER and HLR demonstrated a 10.0% and 8.1% reduction in panicle number, a 6.9% and 4.8% increase in spikelet per panicle, a 1.6% and 1.5% decrease in filled grain percentage, and a 12.7% and 13.8% increase in grain weight, respectively. Additionally, ILR showed a 2.5% reduction in panicle number and a 2.7% increase in spikelet per panicle compared to IER (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, D</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Average grain yield, growth period, and yield components of rice varieties released in Guangdong Province from 1990 to 2020. IER, inbred early rice; ILR, inbred late rice; HER, hybrid early rice; HLR, hybrid late rice; HQIER, high-quality inbred early rice; HQILR, high-quality inbred late rice; HQHER, high-quality hybrid early rice; HQHLR, high-quality hybrid late rice. Different lowercase letters indicate significant differences (LSD test, <italic>P</italic> &lt; 0.05). The horizontal line within each box is the mean value, the upper and lower limits of the box represent the upper and lower quartiles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1604840-g003.tif"/>
</fig>
<p>For high-quality rice, HQIER, HQILR, HQHER, and HQHLR achieved average grain yields of 6.63&#xa0;t hm<sup>&#x2212;2</sup>, 6.52&#xa0;t hm<sup>&#x2212;2</sup>, 7.20&#xa0;t hm<sup>&#x2212;2</sup>, and 6.97&#xa0;t hm<sup>&#x2212;2</sup>, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3G</bold>
</xref>). HQHER and HQHLR yielded significantly higher than HQIER and HQILR, with increases of 0.57&#xa0;t hm<sup>&#x2212;2</sup> and 0.45&#xa0;t hm<sup>&#x2212;2</sup>, respectively, while HQHLR yielded 0.23&#xa0;t hm<sup>&#x2212;2</sup> less than HQHER. The growth period of high-quality rice also varied significantly between seasons, with HQIER and HQHER being 15.3 and 11.3 days longer than HQILR and HQHLR, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3H</bold>
</xref>). Yield components of high-quality rice also exhibited significant differences between inbred and hybrid rice. Panicle number decreased by 8.7% and 8.2% for HQHER and HQHLR compared to HQIER and HQILR, while spikelet per panicle increased by 8.1% and 4.4%, and grain weight rose by 7.9% and 13.4%, respectively (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3I, J, L</bold>
</xref>). The filled grain percentage of HQILR was significantly higher than that of HQHLR (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3K</bold>
</xref>). Additionally, HQHER had significantly more spikelet per panicle but lower grain weight than HQHLR (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3J, L</bold>
</xref>).</p>
<p>The grain yields of IER, ILR, HER, and HLR demonstrated significant increasing trends (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A&#x2013;D</bold>
</xref>). In contrast, the growth periods of IER, HER, and HLR showed significant declines (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4E, G, H</bold>
</xref>), while ILR exhibited no significant change (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>). Yield components analysis revealed a significant reduction in panicle number for all rice types (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4I&#x2013;L</bold>
</xref>), while&#xa0;spikelet per panicle increased significantly (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4M&#x2013;P</bold>
</xref>). The filled grain percentage of IER, ILR, and HER rose significantly (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4Q&#x2013;S</bold>
</xref>), whereas no significant change was observed in HLR (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4T</bold>
</xref>). Additionally, grain weight of IER and ILR showed significant grains (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4U, V</bold>
</xref>), but remained unchanged in HER and HLR (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4W, X</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Trends in grain yield, growth period, and yield components of rice varieties released in Guangdong Province from 1990 to 2020. IER <bold>(A, E, I, M, Q, U)</bold>, inbred early rice; ILR <bold>(B, F, J, N, R, V)</bold>, inbred late rice; HER <bold>(C, G, K, O, S, W)</bold>, hybrid early rice; HLR <bold>(D, H, L, P, T, X)</bold>, hybrid late rice. <sup>**</sup> indicates significance at <italic>P</italic> &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1604840-g004.tif"/>
</fig>
<p>For high-quality rice, the grain yields of HQIER, HQILR, and HQHER increased significantly (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A&#x2013;C</bold>
</xref>), whereas HQHLR exhibited no significant trend (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>). The growth period of HQIER declined significantly, while HQILR showed a significant increase (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5E, F</bold>
</xref>). In contrast, HQHER and HQHLR exhibited no significant changes in growth period (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5G, H</bold>
</xref>). Yield components of high-quality inbred rice displayed notable&#xa0;changes: panicle number of HQIER and HQILR decreased significantly (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5I, J</bold>
</xref>), while spikelet per panicle, filled grain&#xa0;percentage, and grain weight increased significantly (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5M, N, Q, R, U, V</bold>
</xref>). For high-quality hybrid rice, HQHER&#xa0;exhibited a significant rise in spikelet per panicle and grain&#xa0;weight (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5O, W</bold>
</xref>), while there were no significant changes in panicle number and filled grain percentage (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5K, S</bold>
</xref>). HQHLR showed a significant reduction in panicle number (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5L</bold>
</xref>), along with increased spikelet per panicle and filled grain percentage (<xref ref-type="fig" rid="f5">
<bold>Figures 5P, T</bold>
</xref>), but no change in grain weight (<xref ref-type="fig" rid="f5">
<bold>Figure 5X</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Trends in grain yield, growth period, and yield components of high-quality rice varieties released in Guangdong Province from 1990 to 2020. HQIER <bold>(A, E, I, M, Q, U)</bold>, high-quality inbred early rice; HQILR <bold>(B, F, J, N, R, V)</bold>, high-quality inbred late rice; HQHER <bold>(C, G, K, O, S, W)</bold>, high-quality hybrid early rice; HQHLR <bold>(D, H, L, P, T, X)</bold>, high-quality hybrid late rice. <sup>**</sup> indicates significance at <italic>P</italic> &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1604840-g005.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Quality of released rice varieties</title>
<p>The head rice rates of IER, ILR, HER, and HLR were 53.5%, 66.2%, 46.6%, and 61.7%, respectively (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>), with corresponding chalkiness of 3.9%, 1.7%, 9.0%, and 5.1% (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). IER and HER exhibited significantly lower head rice rates and higher chalkiness compared to ILR and HLR, while IER and ILR showed higher head rice rates and lower chalkiness than HER and HLR. The gel consistency of IER, ILR, HER, and HLR were 73.7&#xa0;mm, 67.2&#xa0;mm, 69.6&#xa0;mm, and 65.5&#xa0;mm, respectively (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>), with amylose contents of 16.6%, 17.7%, 18.2%, and 18.9% (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>). IER and HER had significantly higher gel consistency and lower amylose content than ILR and HLR, while IER and ILR displayed higher gel consistency and lower amylose content than HER and HLR.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Average head rice rate, chalkiness, gel consistency, and amylose content of rice varieties released in Guangdong Province from 1990 to 2020. IER, inbred early rice; ILR, inbred late rice; HER, hybrid early rice; HLR, hybrid late rice; HQIER, high-quality inbred early rice; HQILR, high-quality inbred late rice; HQHER, high-quality hybrid early rice; HQHLR, high-quality hybrid late rice. Different lowercase letters indicate significant differences (LSD test, <italic>P</italic> &lt; 0.05). The horizontal line within each box is the mean value, the upper and lower limits of the box represent the upper and lower quartiles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1604840-g006.tif"/>
</fig>
<p>For the high-quality rice (HQIER, HQILR, HQHER, HQHLR), head rice rates were 56.4%, 66.3%, 57.5%, and 61.5%, respectively (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6E</bold>
</xref>), with chalkiness of 2.4%, 1.6%, 2.4%, and 4.0% (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6F</bold>
</xref>). Gel consistency were 76.1&#xa0;mm, 68.1&#xa0;mm, 69.8&#xa0;mm, and 66.9&#xa0;mm (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6G</bold>
</xref>), while amylose contents were 16.3%, 17.4%, 17.8%, and 18.3% (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6H</bold>
</xref>). HQIER and HQHER showed significantly lower head rice rates than HQILR and HQHLR, with HQILR exceeding HQHLR. Chalkiness was significantly lower in HQIER, HQILR, and HQHER compared to HQHLR. HQIER exhibited significantly higher gel consistency than HQILR, HQHER, and HQHLR but lower amylose content.</p>
<p>Trend analysis revealed significant decreases in head rice rate, chalkiness, and amylose content for IER, ILR, HER, and HLR (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7A&#x2013;H, M&#x2013;P</bold>
</xref>). Gel consistency increased significantly for IER, HER, and HLR (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7I, K, L</bold>
</xref>), while ILR showed a significant decrease (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7J</bold>
</xref>). In high-quality rice, HQIER exhibited significant reductions in head rice rate and chalkiness, with no clear trends in gel consistency or amylose content (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8A, E, I, M</bold>
</xref>). HQILR displayed significant declines in all parameters: head rice rate, chalkiness, gel consistency, and amylose content (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8B, F, J, N</bold>
</xref>). HQHER showed significant reductions in chalkiness and amylose content, with no definitive trends in head rice rate or gel consistency (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8C, G, K, O</bold>
</xref>). HQHLR demonstrated significant decreases in head rice rate, chalkiness, and amylose content, while gel consistency increased (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8D, H, L, P</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Trends in head rice rate, chalkiness, gel consistency, and amylose content of rice varieties released in Guangdong Province from 1990 to 2020. IER <bold>(A, E, I, M)</bold>, inbred early rice; ILR <bold>(B, F, J, N)</bold>, inbred late rice; HER <bold>(C, G, K, O)</bold>, hybrid early rice; HLR <bold>(D, H, L, P)</bold>, hybrid late rice. <sup>*</sup> indicates significance at <italic>P</italic> &lt; 0.05; <sup>**</sup> indicates significance at <italic>P</italic> &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1604840-g007.tif"/>
</fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Trends in head rice rate, chalkiness, gel consistency, and amylose content of high-quality rice varieties released in Guangdong Province from 1990 to 2020. HQIER <bold>(A, E, I, M)</bold>, high-quality inbred early rice; HQILR <bold>(B, F, J, N)</bold>, high-quality inbred late rice; HQHER <bold>(C, G, K, O)</bold>, high-quality hybrid early rice; HQHLR <bold>(D, H, L, P)</bold>, high-quality hybrid late rice. <sup>*</sup> indicates significance at <italic>P</italic> &lt; 0.05; <sup>**</sup> indicates significance at <italic>P</italic> &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1604840-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>The number of rice varieties released in Guangdong Province from 1990 to 2020</title>
<p>From 1990 to 2020, hybrid rice varieties, including HER and HLR, significantly outnumbered inbred rice varieties (IER and ILR) in Guangdong Province (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). This dominance reflects the well-established advantages of hybrid rice in terms of grain yield, stress resistance, and grower preference (<xref ref-type="bibr" rid="B7">Goff, 2011</xref>; <xref ref-type="bibr" rid="B24">Villa et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B6">Fei&#xa0;et&#xa0;al., 2020</xref>). The observed disparity can be partially attributed to the shorter breeding cycle of hybrid rice compared to inbred rice. Specifically, hybrid rice breeding systems (e.g., three-line or two-line methods) typically require 3 to 5 years to develop new cultivars, whereas inbred rice necessitates 6 to 8 years of successive pedigree selection to achieve genetic stability. Furthermore, the number of HQILR and HQHLR varieties significantly exceeded those of HQIER and HQHER (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). The higher percentage of high-quality late rice (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) is likely attributed to favorable environmental conditions during its growth period, characterized by optimal light, temperature, and water resources, which promote stable yields, superior grain quality, and greater market acceptance.</p>
<p>The number of released inbred and hybrid rice varieties exhibited a significant upward trend, with hybrid rice expanding at a faster rate, particularly after the implementation of China&#x2019;s Seed Law in 2000 (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;D</bold>
</xref>). Among high-quality rice varieties, only HQHLR demonstrated a significant increase (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2H</bold>
</xref>), highlighting its growing recognition and promotion due to its high yield and superior quality. This trend is expected to drive continued investment and innovation in HQHLR breeding. In contrast, the slow growth rates of HQIER, HQILR, and HQHER indicate persistent challenges in their breeding and promotion. However, these varieties remain essential as genetic resources for maintaining biodiversity and addressing future climate change challenges.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Grain yield of rice varieties released in Guangdong Province from 1990 to 2020</title>
<p>From 1990 to 2020, the grain yield of IER and ILR released in Guangdong Province was significantly lower than that of HER and HLR (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). A similar trend was observed among high-quality rice varieties, with hybrid rice outperforming inbred rice (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3G</bold>
</xref>). These findings underscore the superior yield improvement achieved through hybrid rice breeding compared to inbred rice, primarily due to heterosis. Heterosis in hybrid rice is well-documented and is attributed to enhanced root systems, higher photosynthetic efficiency, and improved nutrient utilization (<xref ref-type="bibr" rid="B1">Bueno and Lafarge, 2009</xref>; <xref ref-type="bibr" rid="B34">Zhang et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B32">Yuan et&#xa0;al., 2017</xref>).</p>
<p>Yield components such as panicle number, spikelet per panicle, filled grain percentage, and grain weight are critical determinants of rice yield and are key targets for breeding improvement. Hybrid rice&#x2019;s high yield potential is largely driven by greater spikelet per panicle and grain weight (<xref ref-type="bibr" rid="B24">Villa et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B14">Jiang et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B23">Takahashi et&#xa0;al., 2023</xref>). In this study, grain yield across all rice varieties showed a significant positive correlation with spikelet per panicle and grain weight (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1E, I</bold>
</xref>). Consequently, the high grain yield of HER and HLR can be attributed to their superior performance in these traits (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D, F</bold>
</xref>). While inbred rice exhibited advantages in panicle number and filled grain percentage (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, E</bold>
</xref>), its lower spikelet per panicle and grain weight limited further yield gains (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D, F</bold>
</xref>). Similarly, high-quality rice varieties demonstrated a significant positive correlation between grain yield and spikelet per panicle and grain weight (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1F, J</bold>
</xref>), with high-quality hybrid rice excelling in these traits (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3J, L</bold>
</xref>). The genetic mechanisms underlying heterosis have been extensively studied, with dominance effects and overdominance/pseudo-overdominance identified as key contributors to yield, spikelet per panicle, and grain weight heterosis (<xref ref-type="bibr" rid="B36">Zhou et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B12">Huang et&#xa0;al., 2016</xref>). However, hybrid rice tends to exhibit lower panicle number and filled grain percentage compared to inbred rice, potentially influenced by rice population structure (<xref ref-type="bibr" rid="B8">Gong et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B30">Xu et&#xa0;al., 2020</xref>).</p>
<p>These findings suggest that future rice breeding strategies in Guangdong should focus on two primary approaches: (1) increasing spikelet per panicle and grain weight in inbred rice, or (2) enhancing panicle number and filled grain percentage in hybrid rice. In addition, balancing these yield components while emphasizing specific traits will be essential for achieving higher yield levels. Notably, the grain yield of high-quality rice was comparable to that of total rice within the same types and seasons (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, G</bold>
</xref>), indicating that high yield and high quality are not mutually exclusive objectives (<xref ref-type="bibr" rid="B27">Wang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B31">Yu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B4">Chen et&#xa0;al., 2024</xref>).</p>
<p>From 1990 to 2020, the grain yields of both inbred and hybrid rice in Guangdong Province exhibited an upward trajectory (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A&#x2013;D</bold>
</xref>), consistent with the findings of <xref ref-type="bibr" rid="B6">Fei et&#xa0;al. (2020)</xref>, who reported an annual increase of 0.95% in China&#x2019;s rice yield from 2004 to 2018. This trend underscores the continuous and effective exploitation of yield potential through long-term breeding improvements and optimized cultivation practices. The increase in national rice yield has been primarily driven by improvements in spikelet per panicle and filled grain percentage (<xref ref-type="bibr" rid="B6">Fei et&#xa0;al., 2020</xref>). In this study, the grain yield of IER and ILR showed significant positive correlations with spikelet per panicle (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S2I, J</bold>
</xref>), filled grain percentage (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S2M, N</bold>
</xref>), and grain weight (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S2Q, R</bold>
</xref>). Thus, the yield increase in inbred rice was attributed to enhancements in these traits (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4M, N, Q, R, U, V</bold>
</xref>). Similarly, hybrid rice yield improvements were primarily due to increases in spikelet per panicle (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4O, P</bold>
</xref>) and filled grain percentage (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4S</bold>
</xref>), as these traits were significantly correlated with grain yield (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S2K, L, O</bold>
</xref>). Notably, the panicle number of both inbred and hybrid rice displayed a significant declining trend over the past 30 years (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4I&#x2013;L</bold>
</xref>). Future breeding efforts should focus on increasing panicle number to further enhance yield. This decline may be linked to artificial selection for large-panicle traits during breeding (<xref ref-type="bibr" rid="B18">Liu et&#xa0;al., 2010</xref>) and changes in planting density due to shifts from manual transplanting (low density) to mechanical transplanting (high density). Additionally, to maximize per-unit yield in Guangdong Province, it is essential to increase seedling density under the current breeding framework, ensuring adequate panicle number (<xref ref-type="bibr" rid="B13">Huang et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B32">Yuan et&#xa0;al., 2017</xref>).</p>
<p>The yields of HQIER, HQILR, and HQHER also exhibited a significant upward trend (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A&#x2013;C</bold>
</xref>). The yield increases in HQIER and HQILR were associated with improvements in spikelet per panicle (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5M, N</bold>
</xref>), filled grain percentage (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5Q, R</bold>
</xref>), and grain weight (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5U, V</bold>
</xref>), as these traits showed significant positive correlations with yield (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S3I, J, M, N, Q, R</bold>
</xref>). For HQHER, yield improvement was primarily driven by increases in spikelet per panicle and grain weight (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5O, W</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S3K, S</bold>
</xref>). However, the yield of HQHLR showed no significant improvement (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>), primarily because its yield had already reached a relatively high level in the early 2000s, approximately 7.0&#xa0;t hm<sup>&#x2212;2</sup>, which was significantly higher than that of HQIER (~6.0 hm<sup>&#x2212;2</sup>), HQILR (~6.0 hm<sup>&#x2212;2</sup>), and HQHER (~6.5 hm<sup>&#x2212;2</sup>) during the same period. From the perspective of yield components, the grain weight of HQHLR had stabilized at a relatively high level of approximately 25 mg in the early 2000s and remained unchanged until 2020 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5X</bold>
</xref>). This characteristic has, to some extent, constrained further yield improvement in HQHLR. Notably, a significant decline in panicle number was also observed in all high-quality rice varieties over the past three decades (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5I&#x2013;L</bold>
</xref>), which may constrain future yield improvements.</p>
<p>The growth period of early rice (including both inbred and hybrid varieties) was significantly longer than that of late rice (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, H</bold>
</xref>), likely due to the interaction between rice&#x2019;s three fundamental characteristics (i.e., photoperiod sensitivity, thermosensitivity, and basic vegetative growth) and Guangdong&#x2019;s climatic conditions (<xref ref-type="bibr" rid="B17">Liu et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B29">Xu et&#xa0;al., 2021</xref>). A continuous shortening trend in the growth period of IER and HER was observed (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4E, G</bold>
</xref>). This trend suggests that producers could optimize cropping systems to better utilize light and temperature resources, thereby enhancing production efficiency (<xref ref-type="bibr" rid="B10">Huang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B3">Chen et&#xa0;al., 2020</xref>). While longer growth periods generally allow more time for photosynthesis and biomass accumulation, potentially contributing to higher yields (<xref ref-type="bibr" rid="B26">Wang et&#xa0;al., 2016</xref>), our study found no significant correlation or even negative correlations between grain yield and growth period for both inbred and hybrid rice (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1A&#x2013;D</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S2A&#x2013;D</bold>
</xref>). This indicates that grain yield in Guangdong Province is not significantly influenced by growth duration.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Quality of rice varieties released in Guangdong Province from 1990 to 2020</title>
<p>The head rice rate and chalkiness are critical indicators for assessing rice milling and appearance quality, with higher head rice rate and lower chalkiness correlating with greater economic value (<xref ref-type="bibr" rid="B19">Nakamura et&#xa0;al., 2022</xref>). This study revealed that ILR and HLR exhibited superior milling quality (higher head rice rate) and appearance quality (lower chalkiness) compared to IER and HER (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref>). These differences can be attributed to varietal characteristics and environmental factors. High-quality rice varieties typically demonstrate higher head rice rate and lower chalkiness. In this study, the percentage of high-quality late rice varieties significantly exceeded that of early rice, indicating better milling and appearance quality for late rice (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Additionally, in Guangdong&#x2019;s double-cropping rice system, the grain-filling stage of early rice often coincides with high temperatures, overcast conditions, and insufficient sunlight, which hinder photosynthetic product accumulation and grain filling, leading to higher chalkiness and lower head rice rate in early rice (<xref ref-type="bibr" rid="B15">Li et&#xa0;al., 2015</xref>, <xref ref-type="bibr" rid="B16">2018</xref>; <xref ref-type="bibr" rid="B22">Siddik et&#xa0;al., 2019</xref>).</p>
<p>Furthermore, the head rice rate of hybrid rice was significantly lower than that of inbred rice within the same season (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>), while its chalkiness was significantly higher (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The observed results can be attributed to two primary factors. First, hybrid rice breeding may prioritize yield improvement over grain quality, as evidenced by the lower percentage of high-quality hybrid rice varieties compared to inbred rice (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Second, hybrid rice exhibited a significant increase in spikelet per panicle and grain weight (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D, F</bold>
</xref>), which may lead to insufficient grain filling, contributing to higher chalkiness and reduced head rice rate (<xref ref-type="bibr" rid="B21">Shi et&#xa0;al., 2013</xref>). Notably, the head rice rate of high-quality early rice was significantly lower than that of high-quality late rice, although differences between inbred and hybrid rice within the same season were reduced (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6E</bold>
</xref>). In contrast, the chalkiness of high-quality rice was generally very low, with minimal differences across seasons and between inbred and hybrid rice (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6F</bold>
</xref>). Therefore, future breeding efforts should focus on improving the head rice rate and reducing chalkiness in early rice. For hybrid rice, in addition to maintaining high grain yield, enhancing head rice rate and minimizing chalkiness should be prioritized to achieve a balanced improvement in both yield and quality.</p>
<p>In this study, early rice exhibited higher gel consistency and lower amylose content compared to late rice, while inbred rice showed higher gel consistency and lower amylose content than hybrid rice (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6C, D</bold>
</xref>). Generally, within a certain range, higher gel consistency and lower amylose content are associated with improved cooking and eating quality (<xref ref-type="bibr" rid="B2">Chen et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B37">Zhu et&#xa0;al., 2022</xref>). However, these parameters alone were insufficient to accurately evaluate the cooking and eating quality of early versus late rice or inbred versus hybrid rice, as it is well-established that late rice and inbred rice exhibit superior cooking and eating quality. For high-quality rice, variations in gel consistency and amylose content across seasons and between inbred and hybrid rice were minimal, with only HQIER showing significantly higher gel consistency and lower amylose content (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6G, H</bold>
</xref>). This phenomenon can be attributed to the stringent thresholds for gel consistency and amylose content established by the high-quality rice standards (<xref ref-type="bibr" rid="B20">NY/T 593-2013, 2013</xref>; <xref ref-type="bibr" rid="B5">DB44/ 181-2004, 2004</xref>), which effectively reduce the differences in these parameters among released varieties across seasons, as well as between inbred and hybrid rice.</p>
<p>Gel consistency and amylose content are negatively correlated, as amylose restricts starch absorption and gelatinization (<xref ref-type="bibr" rid="B33">Zeng et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B2">Chen et&#xa0;al., 2021</xref>). Thus, the higher gel consistency observed in early rice and inbred rice was associated with their lower amylose content (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6C, D, G, H</bold>
</xref>). The reduced amylose content in early rice may result from high temperatures during grain filling, which inhibit granule-bound starch synthase activity, thereby limiting amylose synthesis (<xref ref-type="bibr" rid="B11">Huang et&#xa0;al., 2021</xref>). Additionally, inbred rice within the same season exhibited lower amylose content than hybrid rice (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>). This can be attributed to breeding preferences, as breeders often select high-quality inbred varieties with low amylose content, leading to a higher percentage of such varieties in the inbred rice category.</p>
<p>The chalkiness of inbred rice, hybrid rice, high-quality inbred rice, and high-quality hybrid rice in Guangdong Province has shown a consistent decline over the past 30 years (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7E&#x2013;H</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8E&#x2013;H</bold>
</xref>), aligning with national trends (<xref ref-type="bibr" rid="B6">Fei et&#xa0;al., 2020</xref>). This reflects continuous improvements in the appearance quality of rice in the region. However, the head rice rate for all rice types, except HQHER, has steadily decreased (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7A&#x2013;D</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8A&#x2013;D</bold>
</xref>), indicating potential challenges that require further investigation. Future breeding efforts in Guangdong should prioritize enhancing the head rice rate to address this issue.</p>
<p>Amylose content in all rice categories, except HQIER, has also declined (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7M&#x2013;P</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8M&#x2013;P</bold>
</xref>), consistent with national trends (<xref ref-type="bibr" rid="B6">Fei et&#xa0;al., 2020</xref>), suggesting a shift toward breeding varieties with lower amylose content to improve cooking and eating quality. In contrast, gel consistency trends varied significantly across seasons and between inbred and hybrid rice (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7I&#x2013;L</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8I&#x2013;L</bold>
</xref>), highlighting the complexity of this trait. Beyond starch composition, gel consistency is influenced by starch fine structure and non-starch components, necessitating further research to elucidate these relationships.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>From 1990 to 2020, hybrid rice varieties in Guangdong Province were released in greater numbers and exhibited faster growth rates compared to inbred rice varieties. High-quality late rice varieties also outnumbered high-quality early rice varieties. Hybrid rice, particularly high-quality hybrid rice, consistently achieved higher grain yields than inbred rice, primarily due to superior spikelet per panicle and grain weight. The lower grain yield of inbred rice was primarily constrained by its fewer spikelet per panicle and lower grain weight. Both inbred and hybrid rice showed significant yield increases over time, driven by improvements in spikelet per panicle, filled grain percentage, or grain weight. However, a significant declining trend was observed in the panicle number for both inbred and hybrid rice varieties. In terms of quality, late rice and inbred rice outperformed early rice and hybrid rice in milling and appearance quality, while early rice and inbred rice exhibited higher gel consistency and lower amylose content. Notably, head rice rate, chalkiness, and amylose content declined over the study period. Future rice breeding strategies in Guangdong should prioritize increasing the spikelet per panicle and grain weight in inbred rice, while enhancing panicle number in both inbred and hybrid rice, to further enhance yield. Additionally, the development of varieties with high head rice rate should be emphasized to improve milling quality, particularly for early rice. These findings provide critical insights into the grain yield and quality characteristics of rice varieties in Guangdong Province, offering valuable guidance for the coordinated improvement of yield and quality in future rice breeding programs.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>HY: Formal analysis, Software, Visualization, Writing &#x2013; original draft. LW: Writing &#x2013; review &amp; editing. BZ: Resources, Writing &#x2013; review &amp; editing. TY: Conceptualization, Methodology, Resources, Supervision, Writing &#x2013; review &amp; editing. JZ: Conceptualization, Resources, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Talent Development Program of Guangdong Academy of Agricultural Sciences &#x2013; Junior Associate Researcher (R2023PY-QF001), the National Natural Science Foundation of China (32201900), and the Natural Science Foundation of Guangdong Province (2022A1515011279).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
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<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
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<title>Publisher&#x2019;s note</title>
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<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fagro.2025.1604840/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fagro.2025.1604840/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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