Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data

Linking high-throughput environmental data (enviromics) to genomic prediction (GP) is a cost-effective strategy for increasing selection intensity under genotype-by-environment interactions (G × E). This study developed a data-driven approach based on Environment-Phenotype Associations (EPA) aimed a...

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Main Authors: Costa-Neto, G., Crespo Herrera, L.A., Fradgley, N., Gardner, K.A., Bentley, A.R., Dreisigacker, S., Fritsche-Neto, R., Montesinos-Lopez, O.A., Crossa, J.
Format: Article biblioteca
Language:English
Published: Genetics Society of America 2023
Subjects:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Genomic Selection, Wheat Breeding, Envirotyping, Target Population of Environments, MARKER-ASSISTED SELECTION, CLIMATE CHANGE, WHEAT, BREEDING, ADAPTABILITY, ENVIRONMENT,
Online Access:https://hdl.handle.net/10883/22364
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