BACKGROUND With the availability of high throughput genotyping, genomic selection, the evaluation of animals based on dense SNP genotyping, is receiving more and more attention. Several statistical methods have been suggested for genomic selection. Compared to traditional selection, genomic selection can be more accurate which can lead to higher efficiency in terms of time and cost. Herein we a...

The expected benefits from optimized selection in real livestock populations were evaluated by applying dynamic selection algorithms to two livestock populations of sheep (Meatlinc) and beef cattle (Aberdeen Angus). In addition, the effects of introducing BLUP evaluations on the population structure, genetic gain, and inbreeding were investigated. The use of BLUP-EBV accelerated the rates of ga...

For any given central moving-average trend filter, a family of end filters is constructed using a minimum revisions criterion and a local dynamic model operating within the span of the central filter. These end filters are equivalent to evaluating the central filter with unknown observations replaced by constrained optimal linear predictors. Two prediction methods are considered. Best Linear Un...

This paper presents a unified approach to the problem of best linear unbiased prediction (BLUP) of a joint vector of all unknown parameters in a general linear random-effects model (LRM) with restrictions and new observations via some state-of-the-art tools in matrix mathematics. We first establish the fundamental matrix equation and the exact algebraic expression for calculating the Best Linea...

Conventional breeding can be complemented by different strategies that increase the efficiency of methodologies and current rate in yields order to meet demand. The use molecular markers with aim developing linkage maps species, Blup (Best Linear Unbiased Prediction) for an efficient selection progenitors hybridize, vitro culture artificially number F1 plants or digital phenotyping characteriza...

The accuracy of genomic estimated breeding values (GEBVs) approaches the accuracy of pedigree-based BLUP (P-BLUP) EBVs with increasing number of SNPs fitted in the model even if SNPs and QTL are in linkage equilibrium [1]. For this to be true, it is not required that training individuals are related, but only that training and validation individuals are related. This is demonstrated below after...

ABSTRACT Mixed models and multivariate analysis are powerful tools for selecting superior genotypes in plant breeding programs. The BLUP (best linear unbiased prediction) method has been used to predict genetic values without environmental effects. Furthermore, the FAI-BLUP (ideotype-design index) procedure is especially valuable because of multiple-trait selection. This study aimed determine p...

A common type of rearing in aquaculture selective breeding programs is to keep families separate tanks until fish large enough be individually tagged. This introduces an environmental effect the members same family which can difficult disentangled from genetic effects when traditional BLUP evaluation used. The use genomic could lead a better prediction these as markers capture more accurately r...

Modeling epistasis in genomic selection is impeded by a high computational load. The extended genomic best linear unbiased prediction (EG-BLUP) with an epistatic relationship matrix and the reproducing kernel Hilbert space regression (RKHS) are two attractive approaches that reduce the computational load. In this study, we proved the equivalence of EG-BLUP and genomic selection approaches, expl...

The present study examined the importance of mean (m+a' and d) components in the performance of single-cross hybrids for the formation of new populations and determined the contribution of the mixed model (best linear unbiased predictor of random effects, BLUP) method associated with molecular markers for the choice of crosses to obtain interpopulation hybrids. Ten single-cross commercial hybri...