The sheep industry is a growing agricultural activities in Brazil, and although it, the country performs sheep meat to supply the consumer market, because the supply of meat is still insufficient. The production of animals adapted to the tropical climate conditions allows the reduction of costs, such as Santa Ines breed, which is the main breed created in Brazil, with excellent reproduction and adaptation traits. But, this breed needs improvement in carcass and meat quality traits, when compared to other breeds, which are important traits for acceptance by the market of meat. However, the improvment of quality of meat are difficult by classical breeding methods, with an option to use molecular information for improving these. Thus, we will genotype 500 animals of Santa Ines, phenotyped for traits of meat quality and carcass, which are: ribeye area, fat thickness, marbling score, temperature, pH, force shear, water losses by cooking, coloring, sarcomere length, myofibrillar fragmentation index, total content of lipids and fatty acid profile, and all the traits will be measeured in Longissimus dorsi muscle. Genomics analyzes will be performed by estimating the effects of SNPs and predictive markers of genomic values of animals using various methods such as GBLUP, Bayesian LASSO and Bayes Cpi, aiming to study the genetic architecture of the traits by identifying regions of the genome associated these traits, besides studying the efficiency of the proposed methods for these traits.
News published in Agência FAPESP Newsletter about the scholarship: