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Integrating Genetics and Genomics to Advance Soybean Research



Reference Report for DMG20181023.3
Title:Genetic Architecture of Soybean Yield and Agronomic Traits
Authors:Diers, BW, Specht, J, Rainey, KM, Cregan, P, Song, Q, Ramasubramanian, V, Graef, G, Nelson, R, Schapaugh, W, Wang, D, Shannon, G, McHale, L, Kantartzi, SK, Xavier, A, Mian, R, Stupar, RM, Michno, J-M, Charles, Y-Q, Goettel, W, Ward, R, Fox, C, Lipka, AE, Hyten, D, Cary, T, Beavis, WD
Source:G3: Genes, Genomes, Genetics October 1, 2018 vol. 8 no. 10 3367-3375
Abstract:Soybean is the worlds leading source of vegetable protein and demand for its seed continues to grow. Breeders have successfully increased soybean yield, but the genetic architecture of yield and key agronomic traits is poorly understood. We developed a 40-mating soybean nested association mapping (NAM) population of 5,600 inbred lines that were characterized by single nucleotide polymorphism (SNP) markers and six agronomic traits in field trials in 22 environments. Analysis of the yield, agronomic, and SNP data revealed 23 significant marker-trait associations for yield, 19 for maturity, 15 for plant height, 17 for plant lodging, and 29 for seed mass. A higher frequency of estimated positive yield alleles was evident from elite founder parents than from exotic founders, although unique desirable alleles from the exotic group were identified, demonstrating the value of expanding the genetic base of US soybean breeding.






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