Traits that define the suitability of a crop for production and consumption are often assessed predicted to identify superior genotypes commercial deployment. This study genetic parameter estimates prediction 25 agronomic quality traits in 49 white yam clones. It employed best linear unbiased (BLUP) mixed model analysis using genomic relationship matrix derived from 6337 Diversity Array Technol...

Nos últimos anos, a perda de safras arroz vem aumentando devido estresses bióticos e abióticos, dentre os quais se destaca brusone, que pode resultar em perdas 100% cultivares susceptíveis. Portanto, torna-se estratégico identificar metodologias selecionem mais resistentes à doença. Neste trabalho, objetivou-se utilizar análise curva ROC (Receiver operator characteristic) medidas tradicionais p...

Prediction of random effects is an important problem with expanding applications. In the simplest context, the problem corresponds to prediction of the latent value (the mean) of a realized cluster selected via two-stage sampling. Recently, Stanek and Singer (JASA, 2004) developed best linear unbiased predictors (BLUP) under a finite population mixed model that outperform BLUPs from mixed model...

Cross-validation of methods is an essential component of genome-enabled prediction of complex traits. We develop formulae for computing the predictions that would be obtained when one or several cases are removed in the training process, to become members of testing sets, but by running the model using all observations only once. Prediction methods to which the developments apply include least ...

While other investigations have described benefits of positive assortative mating (PAM) for forest tree breeding, the allocation of resources among mates in these studies was either equal or varied, using schemes corresponding only to parental rank (i.e., more resources invested in higher-ranking parents). In this simulation study, family sizes were proportional to predicted midparent BLUP valu...

This article presents a deterministic method to predict rates of inbreeding (deltaF) for typical livestock improvement schemes. The method is based on a recently developed general theory to predict rates of inbreeding, which uses the concept of long-term genetic contributions. A typical livestock breeding population was modeled, with overlapping generations, BLUP selection, and progeny testing ...

Introduction Genomic selection in beef cattle has currently been performed with multistep methods, which uses deregressed EBV to estimate SNP effects and then direct genomic value (DGV) for selection candidates based on their genotypes (Meuwissen et al., 2001; Garrick et al., 2009). The main advantage of this approach is that the traditional BLUP evaluation is kept unchanged and genomic selecti...