Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel
Genotyping and phenotypic dataset for GWAS analysis of Phenomics of Rice Adaptation and Yield (PRAY) project conducted in China, Colombia, India, Phillipines, Senegal from 2011 to 2016. Genotyping matrix contains 208 631 SNPs x 281 accessions of PRAY project. Phenotypic data are data concerning 281 accessions for Grain yield analysis and related traits such as Days to flowering, fertility, Spikelets per panicle, grain weight, Harvest index, Panicles per square meter, Plant height.
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Online Access: | https://doi.org/10.18167/DVN1/Z1ATYE |
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dat-cirad-10.18167DVN1Z1ATYE2022-01-29T01:00:01ZGenotypic and phenotypic dataset for Grain yield in an indica rice diversity panelhttps://doi.org/10.18167/DVN1/Z1ATYEDJERRAB DoâaDINGKUHN MichaelGRENIER CecileFROUIN julienJulie Mae Criste PasuquinREBOLLEDO Maria-CamilaCIRAD DataverseGenotyping and phenotypic dataset for GWAS analysis of Phenomics of Rice Adaptation and Yield (PRAY) project conducted in China, Colombia, India, Phillipines, Senegal from 2011 to 2016. Genotyping matrix contains 208 631 SNPs x 281 accessions of PRAY project. Phenotypic data are data concerning 281 accessions for Grain yield analysis and related traits such as Days to flowering, fertility, Spikelets per panicle, grain weight, Harvest index, Panicles per square meter, Plant height.Agricultural SciencesriceenvironmentDjerrab, DoaaSusan McCouchBaboucarr MannehJ.L. Xugenotypingphenotyping |
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Centre de coopération internationale en recherche agronomique pour le développement |
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Agricultural Sciences rice environment Agricultural Sciences rice environment |
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Agricultural Sciences rice environment Agricultural Sciences rice environment DJERRAB Doâa DINGKUHN Michael GRENIER Cecile FROUIN julien Julie Mae Criste Pasuquin REBOLLEDO Maria-Camila Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel |
description |
Genotyping and phenotypic dataset for GWAS analysis of Phenomics of Rice Adaptation and Yield (PRAY) project conducted in China, Colombia, India, Phillipines, Senegal from 2011 to 2016.
Genotyping matrix contains 208 631 SNPs x 281 accessions of PRAY project.
Phenotypic data are data concerning 281 accessions for Grain yield analysis and related traits such as Days to flowering, fertility, Spikelets per panicle, grain weight, Harvest index, Panicles per square meter, Plant height. |
author2 |
Djerrab, Doaa |
author_facet |
Djerrab, Doaa DJERRAB Doâa DINGKUHN Michael GRENIER Cecile FROUIN julien Julie Mae Criste Pasuquin REBOLLEDO Maria-Camila |
format |
genotyping |
topic_facet |
Agricultural Sciences rice environment |
author |
DJERRAB Doâa DINGKUHN Michael GRENIER Cecile FROUIN julien Julie Mae Criste Pasuquin REBOLLEDO Maria-Camila |
author_sort |
DJERRAB Doâa |
title |
Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel |
title_short |
Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel |
title_full |
Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel |
title_fullStr |
Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel |
title_full_unstemmed |
Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel |
title_sort |
genotypic and phenotypic dataset for grain yield in an indica rice diversity panel |
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CIRAD Dataverse |
url |
https://doi.org/10.18167/DVN1/Z1ATYE |
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1778475335769128960 |