Supporting data for Genomic Prediction Using a Mid-Density SNP Platform Matching the 90K SNP Prediction Ability in Spring Wheat

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Yaotian Gao, Guriqbal Singh Dhillon, Amandeep Kaur, Pabitra Joshi, Justin Wheeler, Jianli Chen
DOI: 10.5281/zenodo.20401810
Cited by: 1

Abstract

This dataset contains the filtered genotype, and phenotype files used in the manuscript “Genomic Prediction Using a Mid-Density SNP Platform Matching the 90K SNP Prediction Ability in Spring Wheat.” The dataset supports analyses comparing a low-density 4K GBS SNP platform, a Wheat iSelect 90K SNP array, KASP-only models, and SNP+KASP fixed-effect genomic prediction models in spring wheat. Files include filtered 4K GBS and 90K SNP genotype matrices, and phenotypic BLUPs required to reproduce the genomic prediction analyses.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 May 2026
Language
EN
Document type
Dataset