Despite a favorable business model, genomic selection is still not a popular tool for genetic improvement of Nelore cattle in Brazil mainly due to the lack of a costeffective strategy for its application. Different independent Nelore breeding programs have already developed prediction equations for usual and difficult/expensive to measure traits. Unfortunately, some programs are using genomic p...

Estimated breeding values (EBVs) and genomic enhanced breeding values (GEBVs) for milk production of young genotyped Holstein bulls were predicted using a conventional BLUP - Animal Model, a method fitting regression coefficients for loci (RRBLUP), a method utilizing the realized genomic relationship matrix (GBLUP), by a single-step procedure (ssGBLUP) and by a one-step blending procedure. Info...

2 0 Prediction of single-cross hybrid performance has been a major goal of plant breeders since the 2 1 beginning of hybrid breeding. Genomic prediction has shown to be a promising approach, but 2 2 only limited studies have examined the accuracy of predicting single cross performance. Most of 2 3 the studies rather focused on predicting top cross performance using single tester to determine 2 ...

Plant breeding has had, and continues to have, an important role in providing farmers with resilient pastures. Early relied on improvement of ecotype populations this was accelerated by crossing selected introduced germplasm. The primary traits under selection have targeted speed establishment, total and/or seasonal dry matter (DM) yield, nutritive value or feed quality, flowering time reduced ...

A new technology called genomic selection is revolutionizing dairy cattle breeding. Genomic selection refers to selection decisions based on genomic breeding values (GEBV). The GEBV are calculated as the sum of the effects of dense genetic markers, or haplotypes of these markers, across the entire genome, thereby potentially capturing all the quantitative trait loci (QTL) that contribute to var...

In this study we compared different statistical procedures for estimating SNP effects using the simulated data set from the XII QTL-MAS workshop. Five procedures were considered and tested in a reference population, i.e., the first four generations, from which phenotypes and genotypes were available. The procedures can be interpreted as variants of ridge regression, with different ways for defi...

Genetics is responsible for approximately half the observed changes in animal performance in well structured breeding programs. Key characteristics of the dairy cow of the future include (1) production of a large quantity of high-value output (i.e. milk andmeat), (2) good reproductive performance, (3) good health status, (4) good longevity, (5) no requirement for a large quantity of feed, yet b...

Potato ( L.) breeders consider a large number of traits during cultivar development and progress in conventional breeding can be slow. There is accumulating evidence that some of these traits, such as yield, are affected by a large number of genes with small individual effects. Recently, significant efforts have been applied to the development of genomic resources to improve potato breeding, cu...