Replication Data for: Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Agronomic Traits under Drought and Optimum Conditions in Maize

To dissect the genetic architecture of grain yield and flowering traits under drought stress, a genome-wide association study (GWAS) was conducted using 236 test-crossed maize lines. The materials were evaluated under managed drought and optimal growing conditions in multiple environments using seven multi-locus GWAS models (mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB, ISIS EM-BLASSO, and FARMCPU) from mrMLM and GAPIT R packages. Genomic prediction with RR-BLUP model was applied on BLUEs across locations under optimum and drought conditions. The GbS data used for the analyses are included in this dataset.

Data and Resources

Additional Info

Field Value
Author Amadu, Manigben Kulai, Beyene, Yoseph, Chaikam, Vijay, Tongoona, Pangirayi B., Danquah, Eric Y., Ifie, Beatrice E., Burgueno, Juan, Prasanna, B.M., Manje Gowda
Maintainer CIMMYT Research Data & Software Repository Network
Last Updated January 20, 2025, 16:32 (UTC)
Created January 20, 2025, 16:32 (UTC)
contributor Gowda, Manje
creator Amadu, Manigben Kulai
date 2024-11-01T00:00:00
harvest_object_id 234d98e9-caea-45eb-b473-cae1ae52c68f
harvest_source_id a58b0729-e941-4389-816d-5823f01c0d28
harvest_source_title CIMMYT Research Data
identifier https://hdl.handle.net/11529/10549140
language English
metadata_modified 2024-11-02T07:00:04
set_spec cimmytdatadvn