SoyBase Follow us on Twitter @SoyBaseDatabase
Integrating Genetics and Genomics to Advance Soybean Research



Reference Report for JRS20180529.1
Title:Identification of QTLs related to the vertical distribution and seed-set of pod number in soybean [Glycine max (L.) Merri]
Authors:Ning, H., Yuan, J., Dong, Q., Li, W., Xue, H., Wang, Y., Tian, Y., Li, W.
Source:PLoS ONE 2018, 13(4)
Abstract:Pod number is an important factor that influences yield in soybean. Here, we used two associated recombinant inbred line (RIL) soybean populations, RIL3613 (containing 134 lines derived from Dongnong L13 _ Heihe 36) and RIL6013 (composed of 156 individuals from Dongnong L13 _ Henong 60), to identify quantitative trait loci (QTLs) regulating the vertical distribution and quantity of seeds and seed pods. The numbers of pods were quantified in the upper, middle, and lower sections of the plant, as well as in the plants as a whole, and QTLs regulating these spatial traits were mapped using an inclusive complete interval mapping method. A total of 21 and 26 QTLs controlling pod-number-related traits were detected in RIL3613 and RIL6013, respectively, which explained 1.25±11.6698%and 0.0001±7.91% of the phenotypic variation. A total of 34 QTLs were verified by comparison with previous research, were identified in both populations, or were found to regulate multiple traits, indicating their authenticity. These results enhance our understanding of the vertical distribution of pod-number-related traits and support molecular breeding for seed yield.






Funded by the USDA-ARS. Developed by the USDA-ARS SoyBase and Legume Clade Database group at the Iowa State University, Ames, IA
 
USDA Logo
Iowa State University Logo