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Breeding value predictive accuracy for scarcely recorded traits in a Eucalyptus grandis breeding population using genomic selection and data on predictor traits
(Springer, 2023-07-18)Genomic selection methods are particularly useful for traits that are difcult or expensive to measure. We investigated the impact of using predictor growth traits and/or genomic information to increase the breeding value ... -
Efficient genomics-based ‘end-to-end’ selective tree breeding framework
(Springer Nature, 2024-01-03)Since their initiation in the 1950s, worldwide selective tree breeding programs followed the recurrent selection scheme of repeated cycles of selection, breeding (mating), and testing phases and essentially remained unchanged ... -
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers
(2018-06)We investigated the impact of combining the pedigree- and genomic-based relationship matrices in a multiple-trait individual-tree mixed model (a.k.a., multiple-trait combined approach) on the estimates of heritability and ... -
Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
(2017-10)Climate change and the increasing demand for sustainable energy resources require urgent strategies to increase the accuracy of selection in tree breeding (associated with higher gain). We investigated the combined pedigree ... -
Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program
(Plos ONE, 2022-03)Tree improvement programs often focus on improving productivity-related traits; however, under present climate change scenarios, climate change-related (adaptive) traits should also be incorporated into such programs. ... -
SSRs, SNPs and DArTs comparison on estimation of relatedness and genetic parameters’ precision from a small half-sib sample population of eucalyptus grandis
(2016)Simple sequence repeats (SSR) are the most widely used molecular markers for relatedness inference due to their multi-allelic nature and high informativeness. However, there is a growing trend toward using high-throughput ...