Literature DB >> 33125460

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

Lorena Ferreira Benfica1, Leandro Sannomiya Sakamoto1, Ana Fabrícia Braga Magalhães2, Matheus Henrique Vargas de Oliveira3, Lúcia Galvão de Albuquerque3, Roberto Cavalheiro3, Renata Helena Branco1, Joslaine Noely Dos Santos Goncalves Cyrillo1, Maria Eugênia Zerlotti Mercadante1.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  correlation; heritability; residual feed intake; selection; time spent at the feed bunk

Mesh:

Year:  2020        PMID: 33125460      PMCID: PMC7751144          DOI: 10.1093/jas/skaa350

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  31 in total

1.  Assessing feed efficiency in beef steers through feeding behavior, infrared thermography and glucocorticoids.

Authors:  Y R Montanholi; K C Swanson; R Palme; F S Schenkel; B W McBride; D Lu; S P Miller
Journal:  Animal       Date:  2010-05       Impact factor: 3.240

2.  Comparing estimates of genetic variance across different relationship models.

Authors:  Andres Legarra
Journal:  Theor Popul Biol       Date:  2015-09-02       Impact factor: 1.570

3.  Estimating sampling error of evolutionary statistics based on genetic covariance matrices using maximum likelihood.

Authors:  D Houle; K Meyer
Journal:  J Evol Biol       Date:  2015-07-21       Impact factor: 2.411

4.  Genetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle1.

Authors:  Robert M Herd; Jose I Velazco; Helen Smith; Paul F Arthur; Brad Hine; Hutton Oddy; Robin C Dobos; Roger S Hegarty
Journal:  J Anim Sci       Date:  2019-04-29       Impact factor: 3.159

Review 5.  Review: Biological determinants of between-animal variation in feed efficiency of growing beef cattle.

Authors:  G Cantalapiedra-Hijar; M Abo-Ismail; G E Carstens; L L Guan; R Hegarty; D A Kenny; M McGee; G Plastow; A Relling; I Ortigues-Marty
Journal:  Animal       Date:  2018-08-24       Impact factor: 3.240

6.  Selection for feed efficiency traits and correlated genetic responses in feed intake and weight gain of Nellore cattle.

Authors:  A L Grion; M E Z Mercadante; J N S G Cyrillo; S F M Bonilha; E Magnani; R H Branco
Journal:  J Anim Sci       Date:  2014-02-03       Impact factor: 3.159

7.  Phenotypic and genetic relationships of feeding behavior with feed intake, growth performance, feed efficiency, and carcass merit traits in Angus and Charolais steers.

Authors:  L Chen; F Mao; D H Crews; M Vinsky; C Li
Journal:  J Anim Sci       Date:  2014-02-03       Impact factor: 3.159

8.  Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers.

Authors:  A K Kelly; M McGee; D H Crews; A G Fahey; A R Wylie; D A Kenny
Journal:  J Anim Sci       Date:  2009-10-09       Impact factor: 3.159

9.  Phenotypic and Genetic Correlations of Feed Efficiency Traits with Growth and Carcass Traits in Nellore Cattle Selected for Postweaning Weight.

Authors:  Thais Matos Ceacero; Maria Eugênia Zerlotti Mercadante; Joslaine Noely Dos Santos Gonçalves Cyrillo; Roberta Carrilho Canesin; Sarah Figueiredo Martins Bonilha; Lucia Galvão de Albuquerque
Journal:  PLoS One       Date:  2016-08-18       Impact factor: 3.240

10.  Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle.

Authors:  Diercles F Cardoso; Lucia Galvão de Albuquerque; Christian Reimer; Saber Qanbari; Malena Erbe; André V do Nascimento; Guilherme C Venturini; Daiane C Becker Scalez; Fernando Baldi; Gregório M Ferreira de Camargo; Maria E Zerlotti Mercadante; Joslaine N do Santos Gonçalves Cyrillo; Henner Simianer; Humberto Tonhati
Journal:  Genet Sel Evol       Date:  2018-05-02       Impact factor: 4.297

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  3 in total

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Authors:  Lucio F M Mota; Samuel W B Santos; Gerardo A Fernandes Júnior; Tiago Bresolin; Maria E Z Mercadante; Josineudson A V Silva; Joslaine N S G Cyrillo; Fábio M Monteiro; Roberto Carvalheiro; Lucia G Albuquerque
Journal:  BMC Genomics       Date:  2022-06-07       Impact factor: 4.547

2.  Different selection practices affect the environmental sensitivity of beef cattle.

Authors:  Anielly de Paula Freitas; Mário Luiz Santana Júnior; Flavio Schramm Schenkel; Maria Eugênia Zerlotti Mercadante; Joslaine Noely Dos Santos Goncalves Cyrillo; Claudia Cristina Paro de Paz
Journal:  PLoS One       Date:  2021-04-02       Impact factor: 3.240

3.  Genetic variability in the feeding behavior of crossbred growing cattle and associations with performance and feed efficiency.

Authors:  David N Kelly; Roy D Sleator; Craig P Murphy; Stephen B Conroy; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-11-01       Impact factor: 3.159

  3 in total

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