Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/21610
Tipo: Artigo
Título: Accelerating the domestication of trees using genomic selection: accuracy of prediction models across ages and environments
Autor(es): Resende, M. D. V.
Resende Jr, M. F. R.
Muñoz, P.
Acosta, J. J.
Peter, G. F.
Davis, J. M.
Grattapaglia, D.
Kirst, M.
Abstract: Genomic selection is increasingly considered vital to accelerate genetic improvement. However, it is unknown how accurate genomic selection prediction models remain when used across environments and ages. This knowledge is critical for breeders to apply this strategy in genetic improvement. Here, we evaluated the utility of genomic selection in a Pinus taeda population of c. 800 individuals clonally replicated and grown on four sites, and genotyped for 4825 single‐nucleotide polymorphism (SNP) markers. Prediction models were estimated for diameter and height at multiple ages using genomic random regression best linear unbiased predictor (BLUP). Accuracies of prediction models ranged from 0.65 to 0.75 for diameter, and 0.63 to 0.74 for height. The selection efficiency per unit time was estimated as 53–112% higher using genomic selection compared with phenotypic selection, assuming a reduction of 50% in the breeding cycle. Accuracies remained high across environments as long as they were used within the same breeding zone. However, models generated at early ages did not perform well to predict phenotypes at age 6 yr. These results demonstrate the feasibility and remarkable gain that can be achieved by incorporating genomic selection in breeding programs, as long as models are used at the relevant selection age and within the breeding zone in which they were estimated.
Palavras-chave: Genomic selection
Genotype by environment interaction
Model estimation
Pinus taeda
Plant breeding
Editor: New Phytologist
Tipo de Acesso: Open Access
URI: http://dx.doi.org/10.1111/j.1469-8137.2011.03895.x
http://www.locus.ufv.br/handle/123456789/21610
Data do documento: 5-Out-2011
Aparece nas coleções:Engenharia Florestal - Artigos

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