Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models.

Abstract excerpt

Genomic selection has been proposed as the standard method to predict breeding values in animal and plant breeding. Although some crops have benefited from this methodology, studies in Coffea are still emerging. To date, there have been no studies describing how well genomic prediction models work across populations and environments for different complex traits in coffee. Considering that predictive models are...

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• Algorithms
• Coffea
• Environment
• Gene-Environment Interaction
• Genome, Plant