Genomic prediction and genomic heritability of grain yield and its related traits in a safflower genebank collection
Huanhuan Zhao, Yongjun Li, Joanna Petkowski, Surya Kant, Matthew J Hayden, Hans D Daetwyler
PLANT GENOME | WILEY | Published : 2020
Safflower, a minor oilseed crop, is gaining increased attention for food and industrial uses. Safflower genebank collections are an important genetic resource for crop enhancement and future breeding programs. In this study, we investigated the population structure of a safflower collection sourced from the Australian Grain Genebank and assessed the potential of genomic prediction (GP) to evaluate grain yield and related traits using single and multi-site models. Prediction accuracies (PA) of genomic best linear unbiased prediction (GBLUP) from single site models ranged from 0.21 to 0.86 for all traits examined and were consistent with estimated genomic heritability (h2 ), which varied from ..View full abstract
Awarded by Australian Cooperative Research Centres.
This study was funded by Agriculture Victoria, GO Resources and the Australian Cooperative Research Centres., Grant/Award Number: CRC_P54024