Chinese Bulletin of Botany ›› 2023, Vol. 58 ›› Issue (1): 150-158.

• EXPERIMENTAL COMMUNICATIONS •

### QTLs Analysis for Five Yield-related Traits in Mungbean

Weijun Ye, Yin Zhang, Peiran Wang, Lingling Zhang, Dongfeng Tian, Zejiang Wu, Bin Zhou*()

1. Crop Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China
• Received:2022-05-25 Accepted:2022-07-25 Online:2023-01-01 Published:2023-01-05
• Contact: *E-mail: 18756019871@139.com

Abstract:

The F2 and F3 populations derived from the cross between Sulv16-10 and Weilv11 were used to explore the genetic loci controlling yield-related traits in mungbean, and the phenotype identification and correlation analysis between yield-related traits were completed. The genetic linkage map was constructed and used for QTL analysis. The yield per plant was positively correlated with the number of pods per plant, the number of seeds per pod, hundred-seed weight and the number of branches on main stem. The correlation between the yield per plant and the number of pods per plant was the highest, and the correlation coefficient between these two traits were 0.950 and 0.914 in F2 and F3 population, respectively. A total of 8 QTLs for yield-related traits were detected in the F2 population. Among them, three traits including the number of pods per plant, number of seeds per pod and yield per plant were found only on one related QTL, and each QTL accounting for 11.09% (qNPP3), 17.93% (qNSP3) and 14.18% (qYP3) of phenotype variance, respectively. Two QTLs, qBMS3 and qBMS11 related to the branch number on main stem were detected, which could explain 18.51% and 7.06% of phenotype variance, respectively. Three QTLs, qHSW3, qHSW7 and qHSW10 controlling hundred-seed weight were identified, which could explain 5.33%, 46.07% and 4.24% of phenotype variance, respectively. qNSP3 and qHSW7 were detected again in the F3 population, demonstrating that the two QTLs were genetically stable. The InDel molecular marker R7-13.4 which closely linked to the major-effect QTL qHSW7 for hundred-seed weight was developed, and the validation of molecular marker-assisted selection was verified in natural populations. These studies provide reference for mapping, cloning of genes associated with yield-related traits as well as molecular marker-assisted selection in mungbean.