Application of genomic information for the genetic improvement of dairy buffalo

• Grant number: 10/20887-1
• Support Opportunities: Regular Research Grants
• Duration: April 01, 2011 - March 31, 2014
• Field of knowledge: Agronomical Sciences - Animal Husbandry - Genetics and Improvement of Domestic Animals
• Principal Investigator: Humberto Tonhati
• Grantee: Humberto Tonhati
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Associated researchers: Fernando Sebastián Baldi Rey ; Guilherme Jordão de Magalhães Rosa ; Henrique Nunes de Oliveira ; Lucia Galvão de Albuquerque

Abstract

In Brazil, practically all buffalo milk production is used to produce "mozzarella" cheese. In these circumstances, the economic value of buffalo milk not only depends on the amount of milk produced, but also of its constitution in terms of fat, protein and total solids. The identification of genes responsible for phenotypic variation of economic important traits is a crucial step to develop alternative methods for selecting superior genotypes. Comparing to traditional selection, based only on phenotypic and pedigree records, adding molecular information in genetic evaluations will increase genetic gains due to higher selection intensity and lower generation interval. Moreover, it will be possible to decrease evaluation costs, for example in progeny testing. Recently, with the development of panels with thousands of SNP markers (Single Nucleotide Polymorphism) for bovines, the genomic selection has become attractive for traits measured in a single-sex and/or high cost of measurement, such as milk yield and its constituents. The objective of this project will be test the equivalence of the high density SNP bead chip developed for cattle in buffalo in order to identify polymorphisms (SNPs) associated with the following traits, somatic cell count, milk yield, fat, protein and total solids, and also to develop methodologies and models for genomic selection. (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)

DE ABREU SANTOS, DANIEL JORDAN; FERREIRA DE CAMARGO, GREGORIO MIGUEL; CARDOSO, DIERCLES FRANCISCO; BUZANSKAS, MARCOS ELI; ASPILCUETA-BORQUIS, RUSBEL RAUL; HURTADO-LUGO, NAUDIN ALEJANDRO; DE ARAUJO NETO, FRANCISCO RIBEIRO; DE ALBUQUERQUE, LUCIA GALVAO; MA, LI; TONHATI, HUMBERTO. Linkage Disequilibrium-Based Inference of Genome Homology and Chromosomal Rearrangements Between Species. G3-GENES, GENOMES, GENETICS, v. 10, n. 7, p. 2327-2343, JUL 2020. (10/20887-1, 17/00462-5, 15/12396-1)

DE CAMARGO, G. M. F.; ASPILCUETA-BORQUIS, R. R.; FORTES, M. R. S.; PORTO-NETO, R.; CARDOSO, D. F.; SANTOS, D. J. A.; LEHNERT, S. A.; REVERTER, A.; MOORE, S. S.; TONHATI, H.. Prospecting major genes in dairy buffaloes. BMC Genomics, v. 16, OCT 28 2015. (13/12851-5, 10/20887-1)