… We have learned an enormous amount about the genetic architecture of complex traits …
these data and to develop models of complex trait architecture, like the omnigenic model, that are …

… , with only a few candidate genes and quantitative trait loci identified to date. Improved
knowledge … Toward this goal, we used genomic prediction to identify biological processes that are …

… In this study, we report the development of genomic prediction models for growth traits in
two breeding populations of E. benthamii (n =505) and E. pellita (n =732) using SNP data …

… The first factor is the genetic architecture of the trait, together with the demographic history of
… derive prediction equations plays a role as well. The genetic determinism of complex traits …

… in the above GWAS methods as fixed effects in the rrBLUP model is a powerful tool for
KRN prediction, which was a trait-specific consideration in the given population in this study. …

… , we cross-validated genomic BLUPs of eight traits using two … contrasted genomic prediction
accuracy for vegetative architecture traits with accuracies for inflorescence architecture traits. …

… Genome-wide genotyping also permits the improvement of the trait by genomic selection
or whole-genome prediction (WGP), similar to that achieved in cattle breeding. This approach …

Plant height (PH) is a crucial trait determining plant architecture in chrysanthemum. To better
understand the genetic basis of PH, we investigated the variations of PH, internode number …

… prediction machines depends on the genetic architecture … genomic prediction of complex
traits and DL does not appear to be a panacea for genome-enabled prediction of complex traits. …

… provided a prediction accuracy close to zero, due to the binary nature of the trait. Using … the
complete data as benchmark improved prediction accuracy of genomic models by about 40% …