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Characterizing the impact of an exotic soybean line on elite cultivar development
The genetic diversity of North American soybean cultivars has been largely influenced by a small number of ancestors. High yielding breeding lines that possess exotic pedigrees have been developed, but identifying beneficial exotic alleles has been difficult as a result of complex interactions of yi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351202/ https://www.ncbi.nlm.nih.gov/pubmed/32649700 http://dx.doi.org/10.1371/journal.pone.0235434 |
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author | Stewart-Brown, Benjamin B. Vaughn, Justin N. Carter, Thomas E. Li, Zenglu |
author_facet | Stewart-Brown, Benjamin B. Vaughn, Justin N. Carter, Thomas E. Li, Zenglu |
author_sort | Stewart-Brown, Benjamin B. |
collection | PubMed |
description | The genetic diversity of North American soybean cultivars has been largely influenced by a small number of ancestors. High yielding breeding lines that possess exotic pedigrees have been developed, but identifying beneficial exotic alleles has been difficult as a result of complex interactions of yield alleles with genetic backgrounds and environments as well as the highly quantitative nature of yield. PI 416937 has been utilized in the development of many high yielding lines that have been entered into the USDA Southern States Uniform Tests over the past ~20 years. The primary goal of this research was to identify genomic regions under breeding selection from PI 416937 and introduce a methodology for identifying and potentially utilizing beneficial diversity from lines prevalent in the ancestry of elite cultivars. Utilizing SoySNP50K Infinium BeadChips, 52 high yielding PI 416937-derived lines as well as their parents were genotyped to identify PI 416937 alleles under breeding selection. Nine genomic regions across three chromosomes and 17 genomic regions across seven chromosomes were identified where PI 416937 alleles were under positive or negative selection. Minimal significant associations between PI 416937 alleles and yield were observed in replicated yield trials of five RIL populations, highlighting the difficulty of consistently detecting yield associations. |
format | Online Article Text |
id | pubmed-7351202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73512022020-07-22 Characterizing the impact of an exotic soybean line on elite cultivar development Stewart-Brown, Benjamin B. Vaughn, Justin N. Carter, Thomas E. Li, Zenglu PLoS One Research Article The genetic diversity of North American soybean cultivars has been largely influenced by a small number of ancestors. High yielding breeding lines that possess exotic pedigrees have been developed, but identifying beneficial exotic alleles has been difficult as a result of complex interactions of yield alleles with genetic backgrounds and environments as well as the highly quantitative nature of yield. PI 416937 has been utilized in the development of many high yielding lines that have been entered into the USDA Southern States Uniform Tests over the past ~20 years. The primary goal of this research was to identify genomic regions under breeding selection from PI 416937 and introduce a methodology for identifying and potentially utilizing beneficial diversity from lines prevalent in the ancestry of elite cultivars. Utilizing SoySNP50K Infinium BeadChips, 52 high yielding PI 416937-derived lines as well as their parents were genotyped to identify PI 416937 alleles under breeding selection. Nine genomic regions across three chromosomes and 17 genomic regions across seven chromosomes were identified where PI 416937 alleles were under positive or negative selection. Minimal significant associations between PI 416937 alleles and yield were observed in replicated yield trials of five RIL populations, highlighting the difficulty of consistently detecting yield associations. Public Library of Science 2020-07-10 /pmc/articles/PMC7351202/ /pubmed/32649700 http://dx.doi.org/10.1371/journal.pone.0235434 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Stewart-Brown, Benjamin B. Vaughn, Justin N. Carter, Thomas E. Li, Zenglu Characterizing the impact of an exotic soybean line on elite cultivar development |
title | Characterizing the impact of an exotic soybean line on elite cultivar development |
title_full | Characterizing the impact of an exotic soybean line on elite cultivar development |
title_fullStr | Characterizing the impact of an exotic soybean line on elite cultivar development |
title_full_unstemmed | Characterizing the impact of an exotic soybean line on elite cultivar development |
title_short | Characterizing the impact of an exotic soybean line on elite cultivar development |
title_sort | characterizing the impact of an exotic soybean line on elite cultivar development |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351202/ https://www.ncbi.nlm.nih.gov/pubmed/32649700 http://dx.doi.org/10.1371/journal.pone.0235434 |
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