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Application of strategies of genomics studies applied to productive traits in Montana Composite Tropical® cattle

Grant number: 17/11919-6
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): December 01, 2017
Effective date (End): June 30, 2020
Field of knowledge:Agronomical Sciences - Animal Husbandry - Genetics and Improvement of Domestic Animals
Principal Investigator:José Bento Sterman Ferraz
Grantee:Laís Grigoletto
Home Institution: Faculdade de Zootecnia e Engenharia de Alimentos (FZEA). Universidade de São Paulo (USP). Pirassununga , SP, Brazil
Associated scholarship(s):18/20393-0 - Optimization of production performance in composite beef cattle through the use of alternative genomic approaches, BE.EP.DR

Abstract

Composite cattle, formed from four different genetic groups, are an alternative for the production of beef cattle, considering the processes that involve genetic evaluations, they result in animals with high breeding value and efficiency, besides promoting the use of heterosis and that fit the technical and environmental challenges of Brazilian livestock. The incorporation of the genomic information promotes greater efficiency in the prediction of breeding values, with the increase in accuracy, providing smaller risks as to the choice of sires and dams that will form the new generations. However, these applications require specific methodologies to estimate the additive and non-additive genetic effects, as well as genotype-environment interaction, with the use of genomics information. Nowadays, the models and methodologies used are based on the genetic and genomic evaluation applied to animals of pure breeds and the knowledge of the use of genetics in synthetic or composite bovine breeds is very restricted. In this project, the objective is to apply genomic selection methodology and imputation strategies to elucidate the diverse of the Montana Composite Tropical® population, combining different approaches to improve the capacity of the statistical analyses used in the selection of animals with high breeding value. In order, the traits composing the program selection index of composite cattle, as birth weight (BW), weaning weight (WW), weight at 12 months (W12), scrotal circumference at 14 months (SC14) and musculature at 14 months (MUSC14) from a total of 382,958 records will be used to execute the analyses for the implementation of the methodology and strategy of imputation and genomic selection. We believe that despite the difficulties in the development and procedure these methodologies for composite animals, the applicability can be very promising to determine the most appropriate method to obtain the genomic breeding values for productive traits, improving the selection process of beef cattle.

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GRIGOLETTO, LAIS; ALMEIDA SANTANA, MIGUEL HENRIQUE; BRESSAN, FABIANA FERNANDES; ELER, JOANIR PEREIRA; GOUVEIA NOGUEIRA, MARCELO FABIO; KADARMIDEEN, HAJA N.; BARUSELLI, PIETRO SAMPAIO; STERMAN FERRAZ, JOSE BENTO; BRITO, LUIZ F. Genetic Parameters and Genome-Wide Association Studies for Anti-Mullerian Hormone Levels and Antral Follicle Populations Measured After Estrus Synchronization in Nellore Cattle. ANIMALS, v. 10, n. 7 JUL 2020. Web of Science Citations: 0.
GRIGOLETTO, LAIS; FERRAZ, JOSE B. S.; OLIVEIRA, HINAYAH R.; ELER, JOANIR P.; BUSSIMAN, FERNANDO O.; ABREU SILVA, BARBARA C.; BALDI, FERNANDO; BRITO, LUIZ F. Genetic Architecture of Carcass and Meat Quality Traits in Montana Tropical (R) Composite Beef Cattle. FRONTIERS IN GENETICS, v. 11, FEB 27 2020. Web of Science Citations: 0.
GRIGOLETTO, LAIS; BRITO, LUIZ FERNANDO; MATTOS, ELISANGELA C.; ELER, JOANIR PEREIRA; BUSSIMAN, FERNANDO OLIVEIRA; ABREU SILVA, BARBARA DA CONCEICAO; DA SILVA, ROSIANE PEREIRA; CARVALHO, FELIPE EGUTI; BERTON, MARIANA PIATTO; BALDI, FERNANDO; STERMAN FERRAZ, JOSE BENTO. Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population. LIVESTOCK SCIENCE, v. 229, p. 64-76, NOV 2019. Web of Science Citations: 1.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.