The present study'ss objective is to characterize behaviour of three different Holstein steers production systems and it implication for husbandry strategies.

The aim of the present study is to characterize general and social pig behavior under two different production systems and to draw inferences about possible implications for the design of husbandry strategies.

Under heat stress, production decreases, fertility decreases even more, and animals have a decreased chance of survival (St. Pierre et al., 2003). Heat stress can be mitigated in two ways:by environmental management, such as cooling devices or timing of reproduction West, 2003), or by genetic selection (Misztal et al., 2002). Heat stress in farm animals is likely to become a bigger problem due to global warming.

ABSTRACT. The objective of this study was to implement single-step genomic BLUP (ssGBLUP) for national Angus cattle evaluation in the US. National evaluations include a variety of models with several linear and categorical traits, maternal effects, multibreed data, and a large number of genotyped animals. For the initial investigation, we used a dataset from 2014 that comprised over 8 million animals, 6 million birth weight (BW) and weaning weight (WW) records, 3.4 million post-weaning gain (PWG) records, and genotypes for 52k animals.

ABSTRACT. The objective of this study was to implement single-step genomic BLUP (ssGBLUP) for national Angus cattle evaluation in the US. National evaluations include a variety of models with several linear and categorical traits, maternal effects, multibreed data, and a large number of genotyped animals. For the initial investigation, we used a dataset from 2014 that comprised over 8 million animals, 6 million birth weight (BW) and weaning weight (WW) records, 3.4 million post-weaning gain (PWG) records, and genotypes for 52k animals.

ABSTRACT. Gastrointestinal parasites (GIP) are one of the main constraint for sheep production worldwide. In Uruguay, the most prevalent and pathogenic parasite is Haemonchus contortus. One approach to control parasite infection is to select genetically resistant animals into a sheep-breeding program. Faecal egg count (FEC) is the criterion most used to evaluate genetic resistance to GIP, although there are alternative indicators that could be used.

ABSTRACT. A theory to account for across-founder ancestral relationships is presented, which can consider relationships within and across populations. The theory assumes finite size of the ancestral population. Ancestral relationships can be represented as metafounders, pseudo-individuals that can be seen as pool of gametes and as extensions of random genetic groups. Simple rules exist for computation of relationships, inbreeding, and the inverse of the relationship matrix. Values of the Ancestral relationships can be inferred from marker relationships and pedigrees.

ABSTRACT. Quality control filtering of single nucleotide polymorphisms (SNP) is a key step when analyzing genomic data. Here, we present a practical method to identify poorly genotyped SNPs by detecting those for which gene content deviates from the pedigree-based expectation. This can be achieved by estimating the heritability of gene content at each marker, defined as the number of copies of a particular reference allele in a genotype of an animal (0, 1 or 2).

ABSTRACT. Single step genomic methodology provides a unified framework to integrate phenotypic, pedigree and genomic information in prediction of breeding values for all individuals and in estimation of marker effects. Computational tools for the implementation of the single-step methodology are presented. Methodology, quality control of samples and different options to create genomic relationship matrices are discussed.

ABSTRACT. Single step genomic methodology provides a unified framework to integrate phenotypic, pedigree and genomic information in prediction of breeding values for all individuals and in estimation of marker effects. Computational tools for the implementation of the single-step methodology are presented. Methodology, quality control of samples and different options to create genomic relationship matrices are discussed.