Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments

An association panel consisting of 185 accessions representative of the barley germplasm cultivated in the Mediterranean basin was used to localise quantitative trait loci (QTL) controlling grain yield and yield related traits. The germplasm set was genotyped with 1,536 SNP markers and tested for as...

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Main Authors: Comadran, J., Russell, J. R., Booth, A., Pswarayi, A., Ceccarelli, S., Grando, S., Stanca, A. M., Pecchioni, N., Akar, T., Al-Yassin, A., Benbelkacem, A., Ouabbou, H., Bort, J., van Eeuwijk, F. A., Thomas, W. T. B., Romagosa, I.
Format: Online
Language:English
Published: Springer-Verlag 2011
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3075395/
id pubmed-3075395
recordtype oai_dc
spelling pubmed-30753952011-05-23 Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments Comadran, J. Russell, J. R. Booth, A. Pswarayi, A. Ceccarelli, S. Grando, S. Stanca, A. M. Pecchioni, N. Akar, T. Al-Yassin, A. Benbelkacem, A. Ouabbou, H. Bort, J. van Eeuwijk, F. A. Thomas, W. T. B. Romagosa, I. Original Paper An association panel consisting of 185 accessions representative of the barley germplasm cultivated in the Mediterranean basin was used to localise quantitative trait loci (QTL) controlling grain yield and yield related traits. The germplasm set was genotyped with 1,536 SNP markers and tested for associations with phenotypic data gathered over 2 years for a total of 24 year × location combinations under a broad range of environmental conditions. Analysis of multi-environmental trial (MET) data by fitting a mixed model with kinship estimates detected from two to seven QTL for the major components of yield including 1000 kernel weight, grains per spike and spikes per m2, as well as heading date, harvest index and plant height. Several of the associations involved SNPs tightly linked to known major genes determining spike morphology in barley (vrs1 and int-c). Similarly, the largest QTL for heading date co-locates with SNPs linked with eam6, a major locus for heading date in barley for autumn sown conditions. Co-localization of several QTL related to yield components traits suggest that major developmental loci may be linked to most of the associations. This study highlights the potential of association genetics to identify genetic variants controlling complex traits. Springer-Verlag 2011-01-30 2011-05 /pmc/articles/PMC3075395/ /pubmed/21279625 http://dx.doi.org/10.1007/s00122-011-1537-4 Text en © The Author(s) 2011
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Comadran, J.
Russell, J. R.
Booth, A.
Pswarayi, A.
Ceccarelli, S.
Grando, S.
Stanca, A. M.
Pecchioni, N.
Akar, T.
Al-Yassin, A.
Benbelkacem, A.
Ouabbou, H.
Bort, J.
van Eeuwijk, F. A.
Thomas, W. T. B.
Romagosa, I.
spellingShingle Comadran, J.
Russell, J. R.
Booth, A.
Pswarayi, A.
Ceccarelli, S.
Grando, S.
Stanca, A. M.
Pecchioni, N.
Akar, T.
Al-Yassin, A.
Benbelkacem, A.
Ouabbou, H.
Bort, J.
van Eeuwijk, F. A.
Thomas, W. T. B.
Romagosa, I.
Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments
author_facet Comadran, J.
Russell, J. R.
Booth, A.
Pswarayi, A.
Ceccarelli, S.
Grando, S.
Stanca, A. M.
Pecchioni, N.
Akar, T.
Al-Yassin, A.
Benbelkacem, A.
Ouabbou, H.
Bort, J.
van Eeuwijk, F. A.
Thomas, W. T. B.
Romagosa, I.
author_sort Comadran, J.
title Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments
title_short Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments
title_full Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments
title_fullStr Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments
title_full_unstemmed Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments
title_sort mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in hordeum vulgare in mediterranean environments
description An association panel consisting of 185 accessions representative of the barley germplasm cultivated in the Mediterranean basin was used to localise quantitative trait loci (QTL) controlling grain yield and yield related traits. The germplasm set was genotyped with 1,536 SNP markers and tested for associations with phenotypic data gathered over 2 years for a total of 24 year × location combinations under a broad range of environmental conditions. Analysis of multi-environmental trial (MET) data by fitting a mixed model with kinship estimates detected from two to seven QTL for the major components of yield including 1000 kernel weight, grains per spike and spikes per m2, as well as heading date, harvest index and plant height. Several of the associations involved SNPs tightly linked to known major genes determining spike morphology in barley (vrs1 and int-c). Similarly, the largest QTL for heading date co-locates with SNPs linked with eam6, a major locus for heading date in barley for autumn sown conditions. Co-localization of several QTL related to yield components traits suggest that major developmental loci may be linked to most of the associations. This study highlights the potential of association genetics to identify genetic variants controlling complex traits.
publisher Springer-Verlag
publishDate 2011
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3075395/
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