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Publishing Language: Chinese

QTL Analysis of Yield-Related Traits in Both Huangnuo2# and Changbai7# of Perennial Chinese Rice

TingShen PENG1JiuYan LU1MeiLin WU1YuXin YAN1HongZhou LIU1WenBin NAN1XiaoJian QIN1Ming LI1JunYi GONG2YongShu LIANG1( )
Chongqing Normal University/Chongqing Key Laboratory of Plant Environmental Adaptation Biology, Chongqing 401331
China National Rice Research Institute, Hangzhou 310006
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Abstract

Objective

The analysis of quantitative trait loci (QTL) underlying yield-related traits of perennial Chinese rice laid a good foundation for fine mapping, cloning, and functional research of yield-related traits genes. Meanwhile, it also provided technical support for revealing the genetic mechanism of yield-related traits in perennial Chinese rice and breeding perennial rice variety.

Method

Two perennial Chinese japonica rice, namely, Huangnuo2# (HN2#) and Changbai7# (CB7#), and two half-sib (Huangnuo2#/XieqingzaoB and Changbai7#/XieqingzaoB) F2 populations and their bi-parents were selected as experimental materials. Sixteen yield-related traits, including heading date, plant height, and thousand-grain weight of HN2# and CB7# in major crop (MC) and ratooning crop (RC) of 2024, were investigated for phenotypic analysis. Fifteen yield-related traits, including plant height, panicle plant-1, and thousand-grain weight, in HN2# and CB7#-populations and their bi-parents were investigated for phenotypic analysis and QTL mapping.

Result

Between MC and RC of 2024, seven yield-related traits of HN2#, including heading date, plant height, and thousand-grain weight, exhibited significant phenotypic differences (P<0.05). Three yield-related traits of CB7#, including plant height, grain setting density, and grain weight panicle-1, displayed significant phenotypic differences. Among 15 yield-related traits, 34 pairs of significantly positive correlations were calculated in the HN2#-population. A total of 39 pairs of significantly positive correlations were calculated in the CB7#-population. Exactly 29 QTLs were detected in the HN2#-population, accounting for 2.61% to 29.41% of the phenotypic variation. Thirteen novel QTLs were detected in the HN2#-population. Of these, seven QTLs with additive effects were derived from HN2#, and the other six with additive effects were derived from XQZB. Five pleiotropic QTL were detected in the HN2# HN2#-population. A total of 22 QTLs were detected in the CB7#-population, accounting for 2.77% to 27.94% of the phenotypic variation. Ten novel QTLs were detected in the CB7#-population. Of those, six QTLs with additive effects were derived from CB7#, and the other four with additive effects as well were derived from XQZB. Five pleiotropic QTL were detected in the CB7#-population.

Conclusion

These novel and pleiotropic QTL are unique to HN2# and CB7#, which should be the primary focus of future research.

References

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Scientia Agricultura Sinica
Pages 1361-1379

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Cite this article:
PENG T, LU J, WU M, et al. QTL Analysis of Yield-Related Traits in Both Huangnuo2# and Changbai7# of Perennial Chinese Rice. Scientia Agricultura Sinica, 2026, 59(7): 1361-1379. https://doi.org/10.3864/j.issn.0578-1752.2026.07.001

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Received: 26 August 2025
Accepted: 13 October 2025
Published: 01 April 2026
© 2026 The Journal of Scientia Agricultura Sinica