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Genetic aspects of meat production quality, efficiency and sustainability in Nelore breed animals

Grant number: 17/10630-2
Support type:Research Projects - Thematic Grants
Duration: June 01, 2018 - May 31, 2023
Field of knowledge:Agronomical Sciences - Animal Husbandry - Genetics and Improvement of Domestic Animals
Principal Investigator:Lucia Galvão de Albuquerque
Grantee:Lucia Galvão de Albuquerque
Home Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
Co-Principal Investigators:Josineudson Augusto Ii de Vasconcelos Silva ; Maria Eugênia Zerlotti Mercadante ; Roberto Carvalheiro
Assoc. researchers:Alexandre Berndt ; Ana Fabrícia Braga Magalhães ; Camila Urbano Braz ; Daiane Cristina Becker Scalez ; Daniel Guariz Pinheiro ; Diercles Francisco Cardoso ; Fernando Sebastián Baldi Rey ; Gerardo Alves Fernandes Júnior ; Guilherme Jordão de Magalhães Rosa ; Henrique Nunes de Oliveira ; Humberto Tonhati ; Jesus Aparecido Ferro ; Joslaine Noely dos Santos Goncalves Cyrillo ; Larissa Fernanda Simielli Fonseca ; Luis Artur Loyola Chardulo ; Rafael Espigolan ; Roberta Carrilho Canesin ; Rosa Toyoko Shiraishi Frighetto
Associated grant(s):18/20026-8 - Multi-user equipment approved in grant 2017/10630-2: server, AP.EMU
Associated scholarship(s):20/03975-6 - Incorporating sequence variants to improve genomic prediction for reproductive traits in Nellore cattle, BP.PD
19/11738-7 - Phenotypic, genetic correlations and genomic wide association between feed efficiency and enteric methane emission of Nellore cattle, BP.DR
20/02392-7 - Determination of enteric methane emission from Nelore cattle, BP.TT
+ associated scholarships 20/02304-0 - Association of ingestive behavior and enteric methane emission in cattle of the Nellore breed, BP.IC
19/06361-1 - Genotype-environment interaction in Nellore cattle for growth traits and visual scores using sequence data, BP.DR
19/15397-0 - GENOME WIDE ASSOCIATION STUDY AND DETECTION OF SELECTION SIGNALS IN THE GENOME OF NELORE CATTLE USING SEQUENCE DATA, BP.PD
19/16732-7 - Bioinformatics application in genome and transcriptome analysis of Nellore cattle, integrating public information, BP.PD
19/05165-4 - Evaluation of ruminal methane emission flows of Nelore cattle, BP.TT
18/12504-7 - Phenotyping for methane emission in Nelore males submitted to feed efficiency test, BP.TT
18/10109-3 - Identification and analysis of genetic variants obtained from the whole-genome sequencing of Nellore bulls, BP.PD
18/04313-7 - Assessment of inbreeding and study of functional variants using sequenced data in Nelore cattle, BP.PD - associated scholarships

Abstract

In general, Brazilian beef herds need to improve their indexes of efficiency and the final product (meat) quality. Moreover, nowadays, there is a worldwide concern about the animal production sustainability, which could be improved selecting animals with decreased enteric methane emission to the atmosphere. With the evolution of the complete genome sequencing and the decreasing sequencing costs by animal, this technic has been proposed as an alternative to the SNP chips for genomic selection, with various advantages. Therefore, the present project aims to build a data set of enteric methane emission and to use a data set including feed efficiency, meat and carcass quality and reproduction traits already existent to perform genomic studies based in the complete DNA sequence, with the objective of developing technologies to increase the biologic knowledge and the genetic improvement of quality, efficiency and sustainability of Nelore beef cattle production. The following topics will be developed in the project: a) genetic quantitative studies of traits related to enteric methane emission and their genetic associations with feed efficiency traits; b) studies about the accuracy of imputation to the complete DNA sequence from animals genotyped with commercial chips with different SNP numbers and using various methods; c) studies of Nelore genome characterization using sequence data; d) genome wide association studies for economic important traits using genome complete sequence as well as fine mapping candidate genes aiming to identify causal and deleterious mutations for economic traits; e) genomic selection studies for quality, efficiency and sustainability of production traits using sequence data; f) gene expression analysis (transcriptome) for feed efficiency. (AU)

Matéria(s) publicada(s) na Agência FAPESP sobre o auxílio:
Study identifies genes potentially associated with heat- and drought-resistant cattle 
Articles published in other media outlets (27 total):
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Revista Pecuária Brasil: Os genes da rusticidade (01/Nov/2019)
The Dairy Site (EUA): Brazilian Study Identifies Genes Potentially Associated with Heat- and Drought-resistant Cattle (16/Oct/2019)
The Cattle Site (Reino Unido): Brazilian Study Identifies Genes Potentially Associated with Heat- and Drought-resistant Cattle (16/Oct/2019)
The Beef Site (Reino Unido): Brazilian Study Identifies Genes Potentially Associated with Heat- and Drought-resistant Cattle (16/Oct/2019)
NCYT Amazings (Espanha): Hallados genes potencialmente vinculados con la resistencia de ganado bovino a las variaciones ambientales (23/Sep/2019)
Agro Rural News: Hallados genes potencialmente vinculados con la resistencia del ganado a las variaciones ambientales (23/Sep/2019)
Mundo Agropecuario (Venezuela): Hallados genes potencialmente vinculados con la resistencia del ganado a las variaciones ambientales (23/Sep/2019)
Perulactea (Peru): Hallados genes potencialmente vinculados con la resistencia del ganado a las variaciones ambientales (23/Sep/2019)
Economis (Argentina): Hallaron genes potencialmente vinculados con la resistencia del ganado a las variaciones ambientales (23/Sep/2019)
Acrissul - Associação dos Criadores do Mato Grosso do Sul: Estudo ajuda a identificar gado resistente às variações climáticas (12/Sep/2019)
Rural Pecuária: Pesquisadores do Brasil e da Austrália anunciaram a descoberta de 16 genes potencialmente associados com a resistência do gado Nelore (11/Sep/2019)
KLFF online: Estudo ajuda a identificar gado resistente às variações climáticas (11/Sep/2019)
Foco Rural: Estudo ajuda a identificar gado resistente às variações climáticas (11/Sep/2019)
Ioeste: Estudo ajuda a identificar gado resistente às variações climáticas (11/Sep/2019)
Ciência e Clima: Identificados genes potencialmente ligados à resistência do gado a variações ambientais (10/Sep/2019)
Casa Rural: Estudo ajuda a identificar gado resistente às variações climáticas. (10/Sep/2019)
TNH1: Estudo ajuda a identificar gados menos sensíveis ao ambiente (09/Sep/2019)
Compre Rural: Identificados genes potencialmente ligados à resistência do gado (06/Sep/2019)
Diario de Ciencias Aplicadas (Argentina): Genes potencialmente vinculados a la resistencia del ganado a variaciones ambientales identificadas (06/Sep/2019)
A Lavoura online: Estudo ajuda a identificar gado resistente às variações climáticas. (06/Sep/2019)
Brasil CT&I: Estudo ajuda a identificar gados menos sensíveis ao ambiente (06/Sep/2019)
Confap - Conselho Nacional das Fundações Estaduais de Amparo à Pesquisa: Identificados genes potencialmente ligados à resistência do gado a variações ambientais (05/Sep/2019)
Conexão Tocantins : Identificados genes potencialmente ligados à resistência do gado a variações ambientais (05/Sep/2019)
LabNetwork: Identificados genes potencialmente ligados à resistência do gado a variações ambientais (05/Sep/2019)
Portal CanaMix : Estudo ajuda a identificar gado resistente às variações climáticas. (05/Sep/2019)
Revista Analytica online: Estudo ajuda a identificar gado resistente às variações climáticas. (05/Sep/2019)
Portal Neo Mondo: Identificados genes potencialmente ligados à resistência do gado a variações ambientais (05/Sep/2019)

Scientific publications (6)
(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)
ALVES, JACKELINE SANTOS; DIAZ, IARA DEL PILAR SOLAR; DA CRUZ, VALDECY APARECIDA ROCHA; BASTOS, MARISA SILVA; DE OLIVEIRA, LOUISE SARMENTO MARTINS; DE ALBUQUERQUE, LUCIA GALVAO; DE CAMARGO, GREGORIO MIGUEL FERREIRA; COSTA, RAPHAEL BERMAL. The effect of mitochondrial DNA polymorphisms on cattle reproduction. MOLECULAR BIOLOGY REPORTS, v. 48, n. 1 JAN 2021. Web of Science Citations: 0.
ALVES, A. A. C.; ESPIGOLAN, R.; BRESOLIN, T.; COSTA, R. M.; FERNANDES JUNIOR, G. A.; VENTURA, R. V.; CARVALHEIRO, R.; ALBUQUERQUE, L. G. Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods. ANIMAL GENETICS, v. 52, n. 1 NOV 2020. Web of Science Citations: 0.
BENFICA, LORENA FERREIRA; SAKAMOTO, LEANDRO SANNOMIYA; BRAGA MAGALHAES, ANA FABRICIA; VARGAS DE OLIVEIRA, MATHEUS HENRIQUE; DE ALBUQUERQUE, LUCIA GALVAO; CAVALHEIRO, ROBERTO; BRANCO, RENATA HELENA; DOS SANTOS GONCALVES CYRILLO, JOSLAINE NOELY; ZERLOTTI MERCADANTE, MARIA EUGENIA. Genetic association among feeding behavior, feed efficiency, and growth traits in growing indicine cattle. JOURNAL OF ANIMAL SCIENCE, v. 98, n. 11 NOV 2020. Web of Science Citations: 0.
FERNANDES JUNIOR, GERARDO ALVES; DE OLIVEIRA, HENRIQUE NUNES; CARVALHEIRO, ROBERTO; CARDOSO, DIERCLES FRANCISCO; FONSECA, LARISSA FERNANDA SIMIELLI; VENTURA, RICARDO VIEIRA; DE ALBUQUERQUE, LUCIA GALVAO. Whole-genome sequencing provides new insights into genetic mechanisms of tropical adaptation in Nellore (Bos primigenius indicus). SCIENTIFIC REPORTS, v. 10, n. 1 JUN 10 2020. Web of Science Citations: 0.
CARVALHEIRO, ROBERTO; COSTILLA, ROY; NEVES, HAROLDO H. R.; ALBUQUERQUE, LUCIA G.; MOORE, STEPHEN; HAYES, BEN J. Unraveling genetic sensitivity of beef cattle to environmental variation under tropical conditions. GENETICS SELECTION EVOLUTION, v. 51, JUN 20 2019. Web of Science Citations: 0.
NEVES, HAROLDO H. R.; VARGAS, GIOVANA; BRITO, LUIZ F.; SCHENKEL, FLAVIO S.; ALBUQUERQUE, LUCIA G.; CARVALHEIRO, ROBERTO. Genetic and genomic analyses of testicular hypoplasia in Nellore cattle. PLoS One, v. 14, n. 1 JAN 24 2019. Web of Science Citations: 0.

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