Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Genetic association among feeding behavior, feed efficiency, and growth traits in growing indicine cattle

Full text
Author(s):
Benfica, Lorena Ferreira [1] ; Sakamoto, Leandro Sannomiya [1] ; Braga Magalhaes, Ana Fabricia [2] ; Vargas de Oliveira, Matheus Henrique [3] ; de Albuquerque, Lucia Galvao [3] ; Cavalheiro, Roberto [3] ; Branco, Renata Helena [1] ; dos Santos Goncalves Cyrillo, Joslaine Noely [1] ; Zerlotti Mercadante, Maria Eugenia [1]
Total Authors: 9
Affiliation:
[1] Beef Cattle Res Ctr, Inst Anim Sci, BR-14174000 Sertaozinho, SP - Brazil
[2] Fed Univ Jequitinhonha & Mucuri Valleys, Dept Anim Sci, BR-39100000 Diamantina, MG - Brazil
[3] Sao Paulo State Univ Unesp, Sch Agr & Veterinarian Sci, BR-14884900 Jaboticabal, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: JOURNAL OF ANIMAL SCIENCE; v. 98, n. 11 NOV 2020.
Web of Science Citations: 0
Abstract

This study aimed to estimate genetic parameters, including genomic data, for feeding behavior, feed efficiency, and growth traits in Nellore cattle. The following feeding behavior traits were studied (861 animals with records): time spent at the feed bunk (TF), duration of one feeding event (FD), frequency of visits to the bunk (FF), feeding rate (FR), and dry matter intake (DMI) per visit (DMIv). The feed efficiency traits (1,543 animals with records) included residual feed intake (RFI), residual weight gain (RWG), and feed conversion (FC). The growth traits studied were average daily gain (ADG, n = 1,543 animals) and selection (postweaning) weight (WSel, n = 9,549 animals). The (co)variance components were estimated by the maximum restricted likelihood method, fitting animal models that did (single-step genomic best linear unbiased prediction) or did not include (best linear unbiased prediction) genomic information in two-trait analyses. The direct responses to selection were calculated for the feed efficiency traits, ADG, and WSel, as well as the correlated responses in feed efficiency and growth by direct selection for shorter TF. The estimated heritabilities were 0.51 +/- 0.06, 0.35 +/- 0.06, 0.27 +/- 0.07, 0.34 +/- 0.06, and 0.33 +/- 0.06 for TF, FD, FF, FR, and DMIv, respectively. In general, TF and FD showed positive genetic correlations with all feed efficiency traits (RFI, RWG, and FC), ADG, DMI, and WSel. Additionally, TF showed high and positive genetic and phenotypic correlations with RFI (0.71 +/- 0.10 and 0.46 +/- 0.02, respectively) and DMI (0.56 +/- 0.09 and 0.48 +/- 0.03), and medium to weak genetic correlations with growth (0.32 +/- 0.11 with ADG and 0.14 +/- 0.09 with WSel). The results suggest that TF is a strong indicator trait of feed efficiency, which exhibits high heritability and a weak positive genetic correlation with growth. In a context of a selection index, the inclusion of TF to select animals for shorter TF may accelerate the genetic gain in feed efficiency by reducing RFI but with zero or slightly negative genetic gain in growth traits. (AU)

FAPESP's process: 17/10630-2 - Genetic aspects of meat production quality, efficiency and sustainability in Nelore breed animals
Grantee:Lucia Galvão de Albuquerque
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 18/04313-7 - Assessment of inbreeding and study of functional variants using sequenced data in Nelore cattle
Grantee:Ana Fabrícia Braga Magalhães
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 17/50339-5 - Institutional research development plan of the Animal Science Institute (PDIp)
Grantee:Lenira El Faro Zadra
Support Opportunities: Research Grants - State Research Institutes Modernization Program
FAPESP's process: 18/17313-5 - Enteric methane emission, feed efficiency and digestibility of Nellore cattle
Grantee:Leandro Sannomiya Sakamoto
Support Opportunities: Scholarships in Brazil - Post-Doctoral