The need for improved the animal production and profitability has generated great search for technologies that provide better results for producers and industry. In this sense, in order to improve beef efficiency production, genetic selection tools, such as expected progeny differences (EPDs), has shown as a good alternative to improve economic traits in the herd, increasing the animal performance, carcass muscularity, improving the subprimal cuts yield, and increasing precocity. Therefore, the aim of this study is to analyze the blood and meat metabolomics profile from young bulls Nellore, progeny of bulls selected for high and low EPDs for animal growth, precocity, and muscularity, founding some metabolites responsible for the traits evaluated and the metabolic pathways involved in the process in order to identify possible markers metabolites. Ninety-six young bulls, 14 month old and 350kg of body weight will be used. The animals are from commercial herd that use genetic selection, and will separated into the following groups: high and low EPDs for animal growth, precocity, and muscularity, with 16 animals/group. The animals will be fed with the same diet. The performance and muscularity will be evaluates with weighing and ultrasound measures. For metabolomics profile, blood samples will be taken at the beginning and at the end of feedlot, meat samples will be taken from Longissimus muscle at 24 hours after slaughter. The blood and meat metabolites will be identify and quantify by nuclear resonance magnetic (RMN). Then the metabolic pathways will be designed by IPA software, from metabolites involved with the evaluated traits.
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