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Trend, population structure, and trait mapping from 15 years of national varietal trials of UK winter wheat
There are now a rich variety of genomic and genotypic resources available to wheat researchers and breeders. However, the generation of high-quality and field-relevant phenotyping data which is required to capture the complexities of gene × environment interactions remains a major bottleneck. Histor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210278/ https://www.ncbi.nlm.nih.gov/pubmed/34897454 http://dx.doi.org/10.1093/g3journal/jkab415 |
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author | Shorinola, Oluwaseyi Simmonds, James Wingen, Luzie U Uauy, Cristobal |
author_facet | Shorinola, Oluwaseyi Simmonds, James Wingen, Luzie U Uauy, Cristobal |
author_sort | Shorinola, Oluwaseyi |
collection | PubMed |
description | There are now a rich variety of genomic and genotypic resources available to wheat researchers and breeders. However, the generation of high-quality and field-relevant phenotyping data which is required to capture the complexities of gene × environment interactions remains a major bottleneck. Historical datasets from national variety performance trials (NVPT) provide sufficient dimensions, in terms of numbers of years and locations, to examine phenotypic trends and study gene × environment interactions. Using NVPT for winter wheat varieties grown in the United Kingdom between 2002 and 2017, we examined temporal trends for eight traits related to yield, adaptation, and grain quality performance. We show a non-stationary linear trend for yield, grain protein content, Hagberg Falling Number (HFN), and days to ripening. Our data also show high environmental stability for yield, grain protein content, and specific weight in UK winter wheat varieties and high environmental sensitivity for HFN. We also show that UK varieties released within this period cluster into four main population groups. Using the historical NVPT data in a genome-wide association analysis, we uncovered a significant marker-trait association peak on wheat chromosome 6A spanning the NAM-A1 gene that have been previously associated with early senescence. Together, our results show the value of utilizing the data routinely collected during national variety evaluation process for examining breeding progress and the genetic architecture of important traits. |
format | Online Article Text |
id | pubmed-9210278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92102782022-06-21 Trend, population structure, and trait mapping from 15 years of national varietal trials of UK winter wheat Shorinola, Oluwaseyi Simmonds, James Wingen, Luzie U Uauy, Cristobal G3 (Bethesda) Investigation There are now a rich variety of genomic and genotypic resources available to wheat researchers and breeders. However, the generation of high-quality and field-relevant phenotyping data which is required to capture the complexities of gene × environment interactions remains a major bottleneck. Historical datasets from national variety performance trials (NVPT) provide sufficient dimensions, in terms of numbers of years and locations, to examine phenotypic trends and study gene × environment interactions. Using NVPT for winter wheat varieties grown in the United Kingdom between 2002 and 2017, we examined temporal trends for eight traits related to yield, adaptation, and grain quality performance. We show a non-stationary linear trend for yield, grain protein content, Hagberg Falling Number (HFN), and days to ripening. Our data also show high environmental stability for yield, grain protein content, and specific weight in UK winter wheat varieties and high environmental sensitivity for HFN. We also show that UK varieties released within this period cluster into four main population groups. Using the historical NVPT data in a genome-wide association analysis, we uncovered a significant marker-trait association peak on wheat chromosome 6A spanning the NAM-A1 gene that have been previously associated with early senescence. Together, our results show the value of utilizing the data routinely collected during national variety evaluation process for examining breeding progress and the genetic architecture of important traits. Oxford University Press 2021-12-13 /pmc/articles/PMC9210278/ /pubmed/34897454 http://dx.doi.org/10.1093/g3journal/jkab415 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigation Shorinola, Oluwaseyi Simmonds, James Wingen, Luzie U Uauy, Cristobal Trend, population structure, and trait mapping from 15 years of national varietal trials of UK winter wheat |
title | Trend, population structure, and trait mapping from 15 years of national varietal trials of UK winter wheat |
title_full | Trend, population structure, and trait mapping from 15 years of national varietal trials of UK winter wheat |
title_fullStr | Trend, population structure, and trait mapping from 15 years of national varietal trials of UK winter wheat |
title_full_unstemmed | Trend, population structure, and trait mapping from 15 years of national varietal trials of UK winter wheat |
title_short | Trend, population structure, and trait mapping from 15 years of national varietal trials of UK winter wheat |
title_sort | trend, population structure, and trait mapping from 15 years of national varietal trials of uk winter wheat |
topic | Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210278/ https://www.ncbi.nlm.nih.gov/pubmed/34897454 http://dx.doi.org/10.1093/g3journal/jkab415 |
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