Correlation of rice yield based on RILs population QTL analysis.

Abstract

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 F₃ and F₇ 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 F₇ population. An optimal regression equation, Y_YPP = -24.515 + 0.694X_PL + 1.273X_PN + 0.007X_PPG + 18.981X_SSR was derived, and it was concluded that SSR was the trait with the greatest impact on YPP, followed by PL.