Exploring genotype-by-environment interactions: impacts on genome-wide association and genomic prediction for 30 white spruce traits related to productivity, defense, and climate-adaptability

White spruce (Picea glauca (Moench) Voss) is considered a keystone species in boreal forest ecosystems and a valuable resource for the commercial timber industry. White spruce is also known for its adaptability to diverse growth, and stress resilience is essential, especially in the context of a cha...

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Detalles Bibliográficos
Autor principal: Cappa, Eduardo Pablo
Formato: info:ar-repo/semantics/documento de conferencia
Lenguaje:Inglés
Publicado: North American Forest Genetics Society 2024
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/18461
Descripción
Sumario:White spruce (Picea glauca (Moench) Voss) is considered a keystone species in boreal forest ecosystems and a valuable resource for the commercial timber industry. White spruce is also known for its adaptability to diverse growth, and stress resilience is essential, especially in the context of a changing climate. Genome-wide association studies (GWAS) and genomic prediction (GP) are potent tools for understanding complex traits in forest trees. However, their application to genotype-by-environment interactions in white spruce remains limited, highlighting a research gap in forest tree genetics. We conducted a comprehensive multi-environmental GWAS and GP analysis for 30 productivity, defense, and climate-adaptability traits assessed on 1,540 white spruce trees from central Alberta, Canada, genotyped for 467,224 SNP markers, and growing across three environments.