Genetic Architecture of Soybean Yield and Agronomic Traits | Zendy

Brian W. Diers | Zendy; Jim Specht | Zendy; Katy Martin Rainey | Zendy; Perry B. Cregan | Zendy; Qijian Song | Zendy; Vishnu Ramasubramanian | Zendy; George L. Graef | Zendy; Randall L. Nelson | Zendy; W. T. Schapaugh | Zendy; Dechun Wang | Zendy; Grover Shan | Zendy; Leah K. McHale | Zendy; Stella K. Kantartzi | Zendy; Alencar Xavier | Zendy; Rouf Mian | Zendy; Robert M. Stupar | Zendy; JeanMichel Michno | Zendy; Yong-Qiang Charles An | Zendy; Wolfgang Goettel | Zendy; Russell A. Ward | Zendy; Carolyn M. Fox | Zendy; Alexander E. Lipka | Zendy; David L. Hyten | Zendy; T. R. Cary | Zendy; William D. Beavis | Zendy

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Genetic Architecture of Soybean Yield and Agronomic Traits

Author(s) -

Brian W. Diers,

Jim Specht,

Katy Martin Rainey,

Perry B. Cregan,

Qijian Song,

Vishnu Ramasubramanian,

George L. Graef,

Randall L. Nelson,

W. T. Schapaugh,

Dechun Wang,

Grover Shan,

Leah K. McHale,

Stella K. Kantartzi,

Alencar Xavier,

Rouf Mian,

Robert M. Stupar,

JeanMichel Michno,

Yong-Qiang Charles An,

Wolfgang Goettel,

Russell A. Ward,

Carolyn M. Fox,

Alexander E. Lipka,

David L. Hyten,

T. R. Cary,

William D. Beavis

Publication year - 2018

Publication title -

g3 genes genomes genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.468

H-Index - 66

ISSN - 2160-1836

DOI - 10.1534/g3.118.200332

Subject(s) - biology , genetic architecture , quantitative trait locus , trait , allele , agronomy , mating design , population , yield (engineering) , single nucleotide polymorphism , snp , microbiology and biotechnology , plant breeding , genotype , genetics , heterosis , gene , hybrid , medicine , materials science , computer science , metallurgy , programming language , environmental health

Soybean is the world's 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.

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