Dataset / Tabular

Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel: Données génotypiques et phénotypiques pour le rendement d'un panel de diversité de riz indica

author(s) DJERRAB Doâa - DINGKUHN Michael - GRENIER Cecile - FROUIN julien - Julie Mae Criste Pasuquin - REBOLLEDO Maria-Camila
from French Agricultural Research Centre for International Development (CIRAD)
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themes
regions
  • Western Africa
  • Sub-Saharan Africa
  • Africa
  • World
  • Southern Asia
  • Asia
  • South America
  • Latin America and the Caribbean
  • Americas
  • Eastern Asia
citation

DJERRAB Doâa; DINGKUHN Michael; GRENIER Cecile; FROUIN julien; Julie Mae Criste Pasuquin; REBOLLEDO Maria-Camila, 2022, "Genotypic and phenotypic dataset for Grain yield in an indica rice diversity panel", https://doi.org/10.18167/DVN1/Z1ATYE, CIRAD Dataverse, V1, UNF:6:gfiklsdOzEjPuBMqUpXnMw== [fileUNF]

Publications and datasets provided via GARDIAN

Abstract

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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