ABSTRACT.- The objective of this study was to identify genomic regions and genes associated with resistance to gastrointestinal nematodes in Australian Merino sheep in Uruguay, using the single-step GWAS methodology (ssGWAS), which is based on genomic estimated breeding values (GEBVs) obtained from a combination of pedigree, genomic, and phenotypic data. This methodology converts GEBVs into SNP effects. The analysis included 26,638 animals with fecal egg count (FEC) records obtained in two independent parasitic cycles (FEC1 and FEC2) and 1700 50K SNP genotypes. © 2024 by the authors.

Soybean is a major commodity crop in Uruguay, and genetic diversity is essential for crop breeding programs to achieve genetic gain, adaptation, and stability. In this study, the genetic diversity and population structure of a soybean diversity panel from China were characterized by the Soybean Breeding Program of the National Institute of Agricultural Research of Uruguay (ISBP) in order to assess its potential for use in the program.

Soybean grain quality with high protein and oil content is in high demand by domestic and international markets. The National Agricultural Research Institute of Uruguay (INIA) soybean breeding program aims to develop varieties that can meet those requirements.

Soybean is the most important crop in Uruguay. Stem canker caused by Diaporthe caulivora is one of the most yield limiting diseases, causing up to 24% yield losses.

ABSTRACT.- Random-regression models (RRM) are used for dairy cattle genetic evaluations in many countries. The output of a genetic evaluation with RRM is an estimated breeding value (EBV) for a specific function of the additive genetic random regression coefficients, say, 305-d milk yield and its corresponding reliability. The reliability of an EBV in RRM is calculated from the inverse of the coefficient matrix of mixed model equations (MME). The objective of this study was to develop an efficient method to approximate reliabilities for RRM with ssGBLUP.