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Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
Quantitative trait loci (QTL) analysis could help to identify suitable molecular markers for marker-assisted breeding (MAB). A mapping population of 124 F(5:7)recombinant inbred lines derived from the cross ‘TAM 112’/‘TAM 111’ was grown under 28 diverse environments and evaluated for grain yield, te...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627123/ https://www.ncbi.nlm.nih.gov/pubmed/34900409 http://dx.doi.org/10.7717/peerj.12350 |
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author | Dhakal, Smit Liu, Xiaoxiao Chu, Chenggen Yang, Yan Rudd, Jackie C. Ibrahim, Amir M.H. Xue, Qingwu Devkota, Ravindra N. Baker, Jason A. Baker, Shannon A. Simoneaux, Bryan E. Opena, Geraldine B. Sutton, Russell Jessup, Kirk E. Hui, Kele Wang, Shichen Johnson, Charles D. Metz, Richard P. Liu, Shuyu |
author_facet | Dhakal, Smit Liu, Xiaoxiao Chu, Chenggen Yang, Yan Rudd, Jackie C. Ibrahim, Amir M.H. Xue, Qingwu Devkota, Ravindra N. Baker, Jason A. Baker, Shannon A. Simoneaux, Bryan E. Opena, Geraldine B. Sutton, Russell Jessup, Kirk E. Hui, Kele Wang, Shichen Johnson, Charles D. Metz, Richard P. Liu, Shuyu |
author_sort | Dhakal, Smit |
collection | PubMed |
description | Quantitative trait loci (QTL) analysis could help to identify suitable molecular markers for marker-assisted breeding (MAB). A mapping population of 124 F(5:7)recombinant inbred lines derived from the cross ‘TAM 112’/‘TAM 111’ was grown under 28 diverse environments and evaluated for grain yield, test weight, heading date, and plant height. The objective of this study was to detect QTL conferring grain yield and agronomic traits from multiple mega-environments. Through a linkage map with 5,948 single nucleotide polymorphisms (SNPs), 51 QTL were consistently identified in two or more environments or analyses. Ten QTL linked to two or more traits were also identified on chromosomes 1A, 1D, 4B, 4D, 6A, 7B, and 7D. Those QTL explained up to 13.3% of additive phenotypic variations with the additive logarithm of odds (LOD(A)) scores up to 11.2. The additive effect increased yield up to 8.16 and 6.57 g m(−2) and increased test weight by 2.14 and 3.47 kg m(−3) with favorable alleles from TAM 111 and TAM 112, respectively. Seven major QTL for yield and six for TW with one in common were of our interest on MAB as they explained 5% or more phenotypic variations through additive effects. This study confirmed previously identified loci and identified new QTL and the favorable alleles for improving grain yield and agronomic traits. |
format | Online Article Text |
id | pubmed-8627123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86271232021-12-09 Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments Dhakal, Smit Liu, Xiaoxiao Chu, Chenggen Yang, Yan Rudd, Jackie C. Ibrahim, Amir M.H. Xue, Qingwu Devkota, Ravindra N. Baker, Jason A. Baker, Shannon A. Simoneaux, Bryan E. Opena, Geraldine B. Sutton, Russell Jessup, Kirk E. Hui, Kele Wang, Shichen Johnson, Charles D. Metz, Richard P. Liu, Shuyu PeerJ Agricultural Science Quantitative trait loci (QTL) analysis could help to identify suitable molecular markers for marker-assisted breeding (MAB). A mapping population of 124 F(5:7)recombinant inbred lines derived from the cross ‘TAM 112’/‘TAM 111’ was grown under 28 diverse environments and evaluated for grain yield, test weight, heading date, and plant height. The objective of this study was to detect QTL conferring grain yield and agronomic traits from multiple mega-environments. Through a linkage map with 5,948 single nucleotide polymorphisms (SNPs), 51 QTL were consistently identified in two or more environments or analyses. Ten QTL linked to two or more traits were also identified on chromosomes 1A, 1D, 4B, 4D, 6A, 7B, and 7D. Those QTL explained up to 13.3% of additive phenotypic variations with the additive logarithm of odds (LOD(A)) scores up to 11.2. The additive effect increased yield up to 8.16 and 6.57 g m(−2) and increased test weight by 2.14 and 3.47 kg m(−3) with favorable alleles from TAM 111 and TAM 112, respectively. Seven major QTL for yield and six for TW with one in common were of our interest on MAB as they explained 5% or more phenotypic variations through additive effects. This study confirmed previously identified loci and identified new QTL and the favorable alleles for improving grain yield and agronomic traits. PeerJ Inc. 2021-11-24 /pmc/articles/PMC8627123/ /pubmed/34900409 http://dx.doi.org/10.7717/peerj.12350 Text en ©2021 Dhakal et al. 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 use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Agricultural Science Dhakal, Smit Liu, Xiaoxiao Chu, Chenggen Yang, Yan Rudd, Jackie C. Ibrahim, Amir M.H. Xue, Qingwu Devkota, Ravindra N. Baker, Jason A. Baker, Shannon A. Simoneaux, Bryan E. Opena, Geraldine B. Sutton, Russell Jessup, Kirk E. Hui, Kele Wang, Shichen Johnson, Charles D. Metz, Richard P. Liu, Shuyu Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments |
title | Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments |
title_full | Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments |
title_fullStr | Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments |
title_full_unstemmed | Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments |
title_short | Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments |
title_sort | genome-wide qtl mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments |
topic | Agricultural Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627123/ https://www.ncbi.nlm.nih.gov/pubmed/34900409 http://dx.doi.org/10.7717/peerj.12350 |
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