Prediction of genomic-enabled breeding values and Genome-Wide Association Study for feedlot average daily weight gain in Nelore cattle

• Grant number: 12/23702-8
• Support type: Scholarships in Brazil - Doctorate
• Effective date (Start): March 01, 2013
• Effective date (End): June 30, 2015
• Field of knowledge: Agronomical Sciences - Animal Husbandry - Genetics and Improvement of Domestic Animals
• Principal Investigator: Danísio Prado Munari
• Grantee: Adriana Luiza Somavilla
• Home Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Associated scholarship(s): 13/21644-3 - Bayesian methods applied to genomic breeding value predictions for average daily weight gain in Nellore cattle, BE.EP.DR

Abstract

The Brazilian cattle herd is mostly zebu breeds animals, and Nelore is the most economically important of them. These individuals are adapted to tropical environment, they are heat tolerance, parasites resistant, and they have good reproductive performance, factors that contribute to higher productivity. Most breeding programs has been on the basis of Weight and weight gain characteristics, through performance information to all related individuals in the population, giving greater genetic gain and increased inbreeding rates. On the other hand, genomic selection can contribute to reduce the inbreeding rates, generation interval and maintenance of genetic variability, because of more accurate genomic estimated breeding values of young animals. Thus, appropriate methodos can enable genomic selection and contribute to genetic improvement of Nelore cattle. (AU)

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)

SOMAVILLA, ADRIANA L.; REGITANO, LUCIANA C. A.; ROSA, GUILHERME J. M.; MOKRY, FABIANA B.; MUDADU, MAURICIO A.; TIZIOTO, POLYANA C.; OLIVEIRA, PRISCILA S. N.; SOUZA, MARCELA M.; COUTINHO, LUIZ L.; MUNARI, DANISIO P. Genome-Enabled Prediction of Breeding Values for Feedlot Average Daily Weight Gain in Nelore Cattle. G3-GENES, GENOMES, GENETICS, v. 7, n. 6, p. 1855-1859, JUN 2017. Web of Science Citations: 1.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SOMAVILLA, Adriana Luiza. Prediction of genomic-enabled breeding values and genome-wide association study for feedlot average daily weight gain in Nelore cattle. 2015. Doctoral Thesis - Universidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Ciências Agrárias e Veterinárias..