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Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat
Soft white wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with supe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861628/ https://www.ncbi.nlm.nih.gov/pubmed/29593752 http://dx.doi.org/10.3389/fpls.2018.00271 |
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author | Jernigan, Kendra L. Godoy, Jayfred V. Huang, Meng Zhou, Yao Morris, Craig F. Garland-Campbell, Kimberly A. Zhang, Zhiwu Carter, Arron H. |
author_facet | Jernigan, Kendra L. Godoy, Jayfred V. Huang, Meng Zhou, Yao Morris, Craig F. Garland-Campbell, Kimberly A. Zhang, Zhiwu Carter, Arron H. |
author_sort | Jernigan, Kendra L. |
collection | PubMed |
description | Soft white wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 soft white winter wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations. |
format | Online Article Text |
id | pubmed-5861628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58616282018-03-28 Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat Jernigan, Kendra L. Godoy, Jayfred V. Huang, Meng Zhou, Yao Morris, Craig F. Garland-Campbell, Kimberly A. Zhang, Zhiwu Carter, Arron H. Front Plant Sci Plant Science Soft white wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 soft white winter wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations. Frontiers Media S.A. 2018-03-09 /pmc/articles/PMC5861628/ /pubmed/29593752 http://dx.doi.org/10.3389/fpls.2018.00271 Text en At least a portion of this work is authored by Kimberly A. Garland-Campbell and Craig F. Morris on behalf of the U.S. Government and, as regards Dr. Garland-Campbell, Dr. Morris and the US government, is not subject to copyright protection in the United States. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Jernigan, Kendra L. Godoy, Jayfred V. Huang, Meng Zhou, Yao Morris, Craig F. Garland-Campbell, Kimberly A. Zhang, Zhiwu Carter, Arron H. Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat |
title | Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat |
title_full | Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat |
title_fullStr | Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat |
title_full_unstemmed | Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat |
title_short | Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat |
title_sort | genetic dissection of end-use quality traits in adapted soft white winter wheat |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5861628/ https://www.ncbi.nlm.nih.gov/pubmed/29593752 http://dx.doi.org/10.3389/fpls.2018.00271 |
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