Data from: Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models

Luis Felipe V. Ferrão, Romario G. Ferrão, Maria Amelia G. Ferrão, Aymbiré Fonseca, Peter Carbonetto, Matthew Stephens & Antonio A.F Garcia
Genomic selection have 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 of how well genomic prediction models work across populations and environments for different complex traits in coffee. Considering that predictive models are based on biological and statistical assumptions, it is expected that their performance vary depending...
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