Genetic architecture of soybean yield and agronomic traits

Brian W. Diers; Jim Specht; Katy Martin Rainey; Perry Cregan; Qijian Song; Vishnu Ramasubramanian; George Graef; Randall Nelson; William Schapaugh; Dechun Wang; Grover Shannon; Leah Mchale; Stella K. Kantartzi; Alencar Xavier; Rouf Mian; Robert M. Stupar; Jean Michel Michno; Yong Qiang Charles An; Wolfgang Goettel; Russell Ward; Carolyn Fox; Alexander E. Lipka; David Hyten; Troy Cary; William D. Beavis

doi:10.1534/g3.118.200332

Genetic architecture of soybean yield and agronomic traits

Brian W. Diers, Jim Specht, Katy Martin Rainey, Perry Cregan, Qijian Song, Vishnu Ramasubramanian, George Graef, Randall Nelson, William Schapaugh, Dechun Wang, Grover Shannon, Leah Mchale, Stella K. Kantartzi, Alencar Xavier, Rouf Mian, Robert M. Stupar, Jean Michel Michno, Yong Qiang Charles An, Wolfgang Goettel, Russell WardCarolyn Fox, Alexander E. Lipka, David Hyten, Troy Cary, William D. Beavis

Agronomy and Plant Genetics

Research output: Contribution to journal › Article › peer-review

81 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	3367-3375
Number of pages	9
Journal	G3: Genes, Genomes, Genetics
Volume	8
Issue number	10
DOIs	https://doi.org/10.1534/g3.118.200332
State	Published - Oct 1 2018

Bibliographical note

Publisher Copyright:
Copyright © 2018 Reid et al.

Keywords

Multiparent advanced generation inter-cross (MAGIC)
Multiparental populations mpp
Soybean genetic improvement
Yield genetic mapping

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10.1534/g3.118.200332

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Diers, B. W., Specht, J., Rainey, K. M., Cregan, P., Song, Q., Ramasubramanian, V., Graef, G., Nelson, R., Schapaugh, W., Wang, D., Shannon, G., Mchale, L., Kantartzi, S. K., Xavier, A., Mian, R., Stupar, R. M., Michno, J. M., An, Y. Q. C., Goettel, W., ... Beavis, W. D. (2018). Genetic architecture of soybean yield and agronomic traits. G3: Genes, Genomes, Genetics, 8(10), 3367-3375. https://doi.org/10.1534/g3.118.200332

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, JM, An, YQC, Goettel, W, Ward, R, Fox, C, Lipka, AE, Hyten, D, Cary, T & Beavis, WD 2018, 'Genetic architecture of soybean yield and agronomic traits', G3: Genes, Genomes, Genetics, vol. 8, no. 10, pp. 3367-3375. https://doi.org/10.1534/g3.118.200332

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abstract = "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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AU - Stupar, Robert M.

AU - Michno, Jean Michel

AU - An, Yong Qiang Charles

AU - Goettel, Wolfgang

AU - Ward, Russell

AU - Fox, Carolyn

AU - Lipka, Alexander E.

AU - Hyten, David

AU - Cary, Troy

AU - Beavis, William D.

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N2 - 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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Genetic architecture of soybean yield and agronomic traits

Abstract

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Keywords

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