Curation of Multi-Source Genotypic and Phenotypic Data for Global Genomic Prediction in Tree Crops
Автор: Queensland Alliance for Agriculture & Food Innovation (QAAFI)
Загружено: 2025-09-08
Просмотров: 38
Traditional breeding procedures to improve quality traits (acidity, soluble sugar content) in horticultural tree crops such as apple, citrus are resource-intensive, and time consuming due to long juvenility, and large tree size. Understanding of cultivar performances across environments is vital for cultivar improvement programs. However, knowledge on genotype-by-environment interaction (G×E) for tree crops is limited by the sparse replication of material across locations. Here, we discuss procedures to aggregate and curate large, multi-source genotypic and phenotypic datasets apply genomic prediction models globally to predict how cultivars perform in different environments by measuring genetic and environmental interactions in horticultural tree crops.
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