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Genetic Architecture of Soybean Yield and Agronomic Traits

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 (...

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Autores principales: Diers, Brian W., Specht, Jim, Rainey, Katy Martin, Cregan, Perry, Song, Qijian, Ramasubramanian, Vishnu, Graef, George, Nelson, Randall, Schapaugh, William, Wang, Dechun, Shannon, Grover, McHale, Leah, Kantartzi, Stella K., Xavier, Alencar, Mian, Rouf, Stupar, Robert M., Michno, Jean-Michel, An, Yong-Qiang Charles, Goettel, Wolfgang, Ward, Russell, Fox, Carolyn, Lipka, Alexander E., Hyten, David, Cary, Troy, Beavis, William D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169381/
https://www.ncbi.nlm.nih.gov/pubmed/30131329
http://dx.doi.org/10.1534/g3.118.200332
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author Diers, Brian W.
Specht, Jim
Rainey, Katy Martin
Cregan, Perry
Song, Qijian
Ramasubramanian, Vishnu
Graef, George
Nelson, Randall
Schapaugh, William
Wang, Dechun
Shannon, Grover
McHale, Leah
Kantartzi, Stella K.
Xavier, Alencar
Mian, Rouf
Stupar, Robert M.
Michno, Jean-Michel
An, Yong-Qiang Charles
Goettel, Wolfgang
Ward, Russell
Fox, Carolyn
Lipka, Alexander E.
Hyten, David
Cary, Troy
Beavis, William D.
author_facet Diers, Brian W.
Specht, Jim
Rainey, Katy Martin
Cregan, Perry
Song, Qijian
Ramasubramanian, Vishnu
Graef, George
Nelson, Randall
Schapaugh, William
Wang, Dechun
Shannon, Grover
McHale, Leah
Kantartzi, Stella K.
Xavier, Alencar
Mian, Rouf
Stupar, Robert M.
Michno, Jean-Michel
An, Yong-Qiang Charles
Goettel, Wolfgang
Ward, Russell
Fox, Carolyn
Lipka, Alexander E.
Hyten, David
Cary, Troy
Beavis, William D.
author_sort Diers, Brian W.
collection PubMed
description 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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spelling pubmed-61693812018-10-04 Genetic Architecture of Soybean Yield and Agronomic Traits Diers, Brian W. Specht, Jim Rainey, Katy Martin Cregan, Perry Song, Qijian Ramasubramanian, Vishnu Graef, George Nelson, Randall Schapaugh, William Wang, Dechun Shannon, Grover McHale, Leah Kantartzi, Stella K. Xavier, Alencar Mian, Rouf Stupar, Robert M. Michno, Jean-Michel An, Yong-Qiang Charles Goettel, Wolfgang Ward, Russell Fox, Carolyn Lipka, Alexander E. Hyten, David Cary, Troy Beavis, William D. G3 (Bethesda) Multiparental Populations 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. Genetics Society of America 2018-08-28 /pmc/articles/PMC6169381/ /pubmed/30131329 http://dx.doi.org/10.1534/g3.118.200332 Text en Copyright © 2018 Diers et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Multiparental Populations
Diers, Brian W.
Specht, Jim
Rainey, Katy Martin
Cregan, Perry
Song, Qijian
Ramasubramanian, Vishnu
Graef, George
Nelson, Randall
Schapaugh, William
Wang, Dechun
Shannon, Grover
McHale, Leah
Kantartzi, Stella K.
Xavier, Alencar
Mian, Rouf
Stupar, Robert M.
Michno, Jean-Michel
An, Yong-Qiang Charles
Goettel, Wolfgang
Ward, Russell
Fox, Carolyn
Lipka, Alexander E.
Hyten, David
Cary, Troy
Beavis, William D.
Genetic Architecture of Soybean Yield and Agronomic Traits
title Genetic Architecture of Soybean Yield and Agronomic Traits
title_full Genetic Architecture of Soybean Yield and Agronomic Traits
title_fullStr Genetic Architecture of Soybean Yield and Agronomic Traits
title_full_unstemmed Genetic Architecture of Soybean Yield and Agronomic Traits
title_short Genetic Architecture of Soybean Yield and Agronomic Traits
title_sort genetic architecture of soybean yield and agronomic traits
topic Multiparental Populations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169381/
https://www.ncbi.nlm.nih.gov/pubmed/30131329
http://dx.doi.org/10.1534/g3.118.200332
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