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

Ravi Singh Kelly Robbins Jose Crossa Alison Bentley (2022)

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.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA