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Identification and joint modeling of competition effects and environmental heterogeneity in three Douglas-fir (Pseudotsuga menziesii var. menziesii) trials
(2016-12)(Co)variance matrices for the assumed model, and thus the specification of the dispersion parameters, should take into account both the negative competition and the positive spatial correlations. In this context, we applied ... -
Improving lodgepole pine genomic evaluation using spatial correlation structure and SNP selection with single-step GBLUP
(Springer Nature, 2022-02-18)Modeling environmental spatial heterogeneity can improve the efficiency of forest tree genomic evaluation. Furthermore, genotyping costs can be lowered by reducing the number of markers needed. We investigated the impact ... -
Quantitative genetics and genomics converge to accelerate forest tree breeding
(2018-11)Forest tree breeding has been successful at delivering genetically improved material for multiple traits based on recurrent cycles of selection, mating, and testing. However, long breeding cycles, late flowering, variable ... -
Single-step BLUP with varying genotyping effort in open-pollinated Picea glauca
(2017-03)Maximization of genetic gain in forest tree breeding programs is contingent on the accuracy of the predicted breeding values and precision of the estimated genetic parameters. We investigated the effect of the combined use ... -
Supplementary dataset Pinus Taeda [Conjunto de datos]
(2015)Trial information and family numbers of the Pinus Taeda L. trial. Diameter at breast height of the Pinus taeda L. data set will be available upon request. Supplementary dataset Pinus Taeda for Cappa, E.P., Muñoz, F., ... -
Supplementary Material Douglas-fir data [Conjunto de datos]
(2016-10)Supplementary information of the three Douglas-fir trials, family numbers, and pedigree data including identity information of trees, fathers, and mothers of the paper entitled: Identification and joint modeling of competition ...