Replication Data for: Sparse testing using genomic predication improves selection for breeding targets in elite spring wheat

In multi-environment yield trials, the use of sparse testing genomic selection enables increasing selection intensity or testing environments. The data presented in this dataset were used in the evaluation of different sparse testing genomic selection strategies in the early yield testing stage of CIMMYT spring wheat breeding pipeline. Phenotypic, genotypic, and coefficient of parentage data are provided. The germplasm is made up of multiple populations each with small family sizes. The findings of the study are detailed in an accompanying article.

Data and Resources

Additional Info

Field Value
Author Atanda, Sikiru Adeniyi, Govindan, Velu, Singh, Ravi, Robbins, Kelly R., Crossa, Jose, Bentley, Alison R.
Maintainer CIMMYT Research Data & Software Repository Network
Last Updated January 20, 2025, 16:04 (UTC)
Created January 20, 2025, 16:04 (UTC)
contributor Dreher, Kate
creator Atanda, Sikiru Adeniyi
date 2022-03-28T00:00:00
harvest_object_id 4c21a8a5-52b6-4c0a-9be2-d44f738e5838
harvest_source_id a58b0729-e941-4389-816d-5823f01c0d28
harvest_source_title CIMMYT Research Data
identifier https://hdl.handle.net/11529/10548639
language English
metadata_modified 2024-10-26T07:00:04
set_spec cimmytdatadvn