Genomic selection in loblolly pine

Genomic Selection (GS) is a method of predicting the genetic value of an individual based on high-density marker data. The application of GS in early selection is particularly valuable for long-lived, perennial tree species. We report the first assessment of the utility of GS in a forest species, the conifer Pinus taeda (Loblolly pine). A set of 800 individuals, clonally replicated in four sites, were genotyped with 3983 SNPs and phenotyped for Diameter at Breast Height (DBH) and total height (HT). Prediction models were developed using a Genomic BLUP (Best Linear Unbiased Prediction) procedure. The prediction models were validated in all four sites and across different ages and the accuracy of those models was calculated.

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Author(s): Marcio F. R. Resende, Jr.

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