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Genome-wide association studies (GWAS) applied to reproductive traits in Nellore heifers

Grant number: 13/12097-9
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): December 01, 2013
Effective date (End): March 31, 2017
Field of knowledge:Agronomical Sciences - Animal Husbandry - Genetics and Improvement of Domestic Animals
Principal researcher:José Bento Sterman Ferraz
Grantee:Gerson Antônio de Oliveira Júnior
Home Institution: Faculdade de Zootecnia e Engenharia de Alimentos (FZEA). Universidade de São Paulo (USP). Pirassununga , SP, Brazil
Associated research grant:12/50533-2 - GIFT: genomic improvement of fertilization traits in Danish and Brazilian cattle, AP.TEM
Associated scholarship(s):14/26354-6 - Genome-Wide Association Study (GWAS) in reproductive traits of Nellore heifers, BE.EP.DR


Reproductive traits are extremely important in the livestock production system, especially for beef, due to its influence on the amount of animals produced and impact on generation interval of the herds, which affect genetic gain/year. However, to identify animals that can become pregnant in early age is, usually, complicated, due to the complexity of these traits, that are strongly affected by environmental effects. The advances made in the field of genomics in the last few years make possible studies for the identification and characterization of genes or markers of traits influenced by many genes in livestock. Identification of SNP markers, which have an important association with reproductive traits would cause significant contribution to their selection. The objective of this research will be to develop genome-wide association studies (GWAS) on the effects of SNP markers to identify regions in the genome associated with sexual precocity and productivity in Nellore cows. The experiment will be conducted by the Group of Animal Breeding and Biotechnology (GMAB), located in College of Animal Science and Food Engineering at University of São Paulo (FZEA / USP). The database will consist of 1,500 Nelore females of at least three different populations. GWAS analyzes will be performed with the aid of the biostatistical tools Plink and GenABEL, and the allelic substitution effects predicted by various statistical methods (GBLUP, RRBLUP, Bayes A, B, R) in order to ascertain the best method of adjusting.

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Scientific publications (4)
(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)
OLIVEIRA JUNIOR, GERSON A.; PINHEIRO, VINICIUS G.; FONSECA, PABLO A. S.; COSTA, CAMILA B.; PIOLTINE, ELISA M.; BOTIGELLI, RAMON C.; RAZZA, EDUARDO M.; ERENO, RONALDO L.; FERRAZ, JOSE B. S.; SENEDA, MARCELO M.; NOGUEIRA, MARCELO F. G. Genomic and phenotypic analyses of antral follicle count in Aberdeen Angus cows. LIVESTOCK SCIENCE, v. 249, JUL 2021. Web of Science Citations: 0.
OLIVEIRA JUNIOR, GERSON A.; SANTOS, DANIEL J. A.; CESAR, ALINE S. M.; BOISON, SOLOMON A.; VENTURA, RICARDO V.; PEREZ, BRUNO C.; GARCIA, JOSE F.; FERRAZ, JOSE BENTO S.; GARRICK, DORIAN J. Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires. JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY, v. 10, n. 1 DEC 16 2019. Web of Science Citations: 0.
OLIVEIRA JUNIOR, GERSON A.; CHUD, TATIANE C. S.; VENTURA, RICARDO V.; GARRICK, DORIAN J.; COLE, JOHN B.; MUNARI, DANISIO P.; FERRAZ, JOSE B. S.; MULLART, ERIK; DENISE, SUE; SMITH, SHANNON; DA SILVA, MARCOS VINICIUS G. B. Genotype imputation in a tropical crossbred dairy cattle population. JOURNAL OF DAIRY SCIENCE, v. 100, n. 12, p. 9623-9634, DEC 2017. Web of Science Citations: 1.
OLIVEIRA JUNIOR, G. A.; PEREZ, B. C.; COLE, J. B.; SANTANA, M. H. A.; SILVEIRA, J.; MAZZONI, G.; VENTURA, R. V.; SANTANA JUNIOR, M. L.; KADARMIDEEN, H. N.; GARRICK, D. J.; FERRAZ, J. B. S. Genomic study and Medical Subject Headings enrichment analysis of early pregnancy rate and antral follicle numbers in Nelore heifers. JOURNAL OF ANIMAL SCIENCE, v. 95, n. 11, p. 4796-4812, NOV 2017. Web of Science Citations: 9.

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