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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 (...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
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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. |
format | Online Article Text |
id | pubmed-6169381 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
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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