Liu Junrong, Lou Xinyi, Zhang Lin, Hou Tiangang, Xin Xin, Wang Yan, Wang Shu, Huang Yuancai, Zhou Chanchan, Jia Baoyan, Feng Yue
Agricultural College, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China.
College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China.
BMC Genom Data. 2025 Apr 14;26(1):27. doi: 10.1186/s12863-025-01316-3.
Rice production has been a primary concern in crop quality breeding. In this study, India japonica variety M494 and indica variety Z9B were used as parents. Hybridization and selfing were conducted to obtain recombinant inbred lines (RILs) as the experimental material. The F and F populations were analyzed to determine six yield-related traits, including panicle length, effective panicle number, number of grains per panicle, seed setting rate, yield per plant, and grain density. QTL mapping of rice yield-related traits and tillering angle was performed using the SSR molecular marker linkage map, resulting in the identification of 19 QTLs controlling panicle length, grain number per panicle, effective panicle number, seed setting rate, grain density.Additionally, multiple regression analysis and path analysis were employed to investigate the relationship between different agronomic traits and rice yield in the F population. An optimal regression equation, Y = -24.515 + 0.694X + 1.273X + 0.007X + 18.981X was derived, and it was concluded that SSR was the trait with the greatest impact on YPP, followed by PL.
水稻产量一直是作物品质育种中的首要关注点。在本研究中，印度粳稻品种M494和籼稻品种Z9B被用作亲本。通过杂交和自交获得重组自交系（RILs）作为实验材料。对F和F群体进行分析，以确定六个与产量相关的性状，包括穗长、有效穗数、每穗粒数、结实率、单株产量和粒密度。利用SSR分子标记连锁图谱对水稻产量相关性状和分蘖角进行QTL定位，共鉴定出19个控制穗长、每穗粒数、有效穗数、结实率、粒密度的QTL。此外，采用多元回归分析和通径分析研究了F群体中不同农艺性状与水稻产量之间的关系。得出最优回归方程Y = -24.515 + 0.694X + 1.273X + 0.007X + 18.981X，并得出结论：SSR是对单株产量影响最大的性状，其次是穗长。
