Accelerating the domestication of trees using genomic selection accuracy of prediction models across ages and environments

Accelerating the domestication of trees using genomic selection : accuracy of prediction models across ages and environments

© 2011 The Authors. New Phytologist © 2011 New Phytologist Trust.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1990. - 193(2012), 3 vom: 28. Feb., Seite 617-624
1. Verfasser: Resende, M F R Jr (VerfasserIn)
Weitere Verfasser: Muñoz, P, Acosta, J J, Peter, G F, Davis, J M, Grattapaglia, D, Resende, M D V, Kirst, M
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2012
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S.
Beschreibung
Zusammenfassung:© 2011 The Authors. New Phytologist © 2011 New Phytologist Trust.
• 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
Beschreibung:Date Completed 03.05.2012
Date Revised 09.01.2024
published: Print-Electronic
ErratumIn: New Phytol. 2012 Mar;193(4):1099
Citation Status MEDLINE
ISSN:1469-8137
DOI:10.1111/j.1469-8137.2011.03895.x