Genomic selection (GS) can substantially reduce breeding cycle times in forest trees compared to traditional breeding cycles. Practical implementation of GS in tree breeding requires an assessment of significant drivers of genetic gains over time, which may differ among species and breeding objectives. We present results of a GS study of growth and wood quality traits in an operational Eucalyptus grandis breeding program in South Africa. The training population consisted of 1575 full and half-sib individuals, genotyped with the Eucalyptus (EUChip60K) SNP chip resulting in 15,040 informative SNP markers. The accuracy of the GS models ranged from 0.47 (diameter) to 0.67 (fibre width). We compared a 4-year GS breeding cycle equivalent to half ...
Abstract Background Genomic prediction is a genomics assisted breeding methodology that can increase...
Background: Genomic selection (GS) uses information from genomic signatures consist...
In forest tree genetic improvement, multi-trait genomic selection (GS) may have advantages in improv...
We report a genomic selection (GS) study of growth and wood quality traits in an outbred F2 hybrid E...
We report a genomic selection (GS) study of growth and wood quality traits in an outbred F2 hybrid E...
Genomic selection is expected to enhance the genetic improvement of forest tree species by providing...
Background: Genomic prediction is a genomics assisted breeding methodology that can increase genetic...
The convergence of quantitative genetics of complex traits with genomic technologies is quickly beco...
International audienceThe selection of ideotypes combining high biomass production, high water use e...
Background: The advent of high-throughput genotyping technologies coupled to genomic prediction meth...
Genome-wide association studies (GWAS) is a powerful and widely used approach to decipher the geneti...
Abstract Background Genomic prediction is a genomics assisted breeding methodology that can increase...
Background: Genomic selection (GS) uses information from genomic signatures consist...
In forest tree genetic improvement, multi-trait genomic selection (GS) may have advantages in improv...
We report a genomic selection (GS) study of growth and wood quality traits in an outbred F2 hybrid E...
We report a genomic selection (GS) study of growth and wood quality traits in an outbred F2 hybrid E...
Genomic selection is expected to enhance the genetic improvement of forest tree species by providing...
Background: Genomic prediction is a genomics assisted breeding methodology that can increase genetic...
The convergence of quantitative genetics of complex traits with genomic technologies is quickly beco...
International audienceThe selection of ideotypes combining high biomass production, high water use e...
Background: The advent of high-throughput genotyping technologies coupled to genomic prediction meth...
Genome-wide association studies (GWAS) is a powerful and widely used approach to decipher the geneti...
Abstract Background Genomic prediction is a genomics assisted breeding methodology that can increase...
Background: Genomic selection (GS) uses information from genomic signatures consist...
In forest tree genetic improvement, multi-trait genomic selection (GS) may have advantages in improv...