Genetic and phenotypic correlations of feed efficiency with growth traits in Nellore cattle

Feed efficiency is difficult to evaluate because individual feeding are required. An alternative is selecting animals based on traits easier to obtain and genetically favorably correlated with feed efficiency traits. This study aimed to estimate genetic and phenotypic correlations between feed effic...

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Main Authors: Thaís Matos Ceacero, Joslaine Noely dos Santos Gonçalves Cyrillo, Roberta Carrilho Canesin, Marcela Morelli, Lúcia Galvão de Albuquerque, Maria Eugênia Zerlotti Mercadante
Format: Article
Language:English
Published: Instituto de Zootecnia 2015-02-01
Series:Boletim de Indústria Animal
Subjects:
Online Access:http://localhost/index.php/bia/article/view/400
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author Thaís Matos Ceacero
Joslaine Noely dos Santos Gonçalves Cyrillo
Roberta Carrilho Canesin
Marcela Morelli
Lúcia Galvão de Albuquerque
Maria Eugênia Zerlotti Mercadante
author_facet Thaís Matos Ceacero
Joslaine Noely dos Santos Gonçalves Cyrillo
Roberta Carrilho Canesin
Marcela Morelli
Lúcia Galvão de Albuquerque
Maria Eugênia Zerlotti Mercadante
author_sort Thaís Matos Ceacero
collection DOAJ
description Feed efficiency is difficult to evaluate because individual feeding are required. An alternative is selecting animals based on traits easier to obtain and genetically favorably correlated with feed efficiency traits. This study aimed to estimate genetic and phenotypic correlations between feed efficiency traits (residual feed intake €“ RFI, feed efficiency €“ FE and residual BW gain €“ RG) with yearling weight (YW), hip height (HH) and girth circumference (GC) in Nellore cattle. Feed efficiency data set consisted of 887 records of DMI, ADG and BW0.75 obtained during performance tests (83 ± 15 d) to calculate RFI (0.005 ± 0.58 kg DM/d), FE (0.14 ± 0.03) and RG (0.00 ± 0.11 kg/d). FE was calculated as ADG and DMI ratio, RFI was estimated as the error of multiple regression of DMI on ADG and BW0.75, and RG was estimated as the error of multiple regression of ADG on DMI and BW0.75. The YW data set consisted of 7,948 records of males (314.45 ± 45.85 kg) and females (282.68 ± 48.19 kg) adjusted to 378 and 550 d of age, respectively. The HH consisted of 6,418 records of males (131.80 ± 5.40 cm) and females (132.51 ± 5.38 cm), and 3,745 records of GC of males (162.56 ± 8.48 cm) and females (167.72 ± 8.08 cm). Pedigree file contained 9,830 animals. Growth traits were analyzed as unit standard deviation of each sex/age. (Co)variance components were estimated through two-trait animal models by restricted maximum likelihood method using MTDFREML software. For RFI, FE and RG traits, models included fixed effect of test group (year-sex-facility), linear effect of animal age in the middle of performance test, linear and quadratic effects of dam age, and random effects of direct additive genetic and error. For growth traits models included the fixed effects of contemporary group (year-herd-sex) and month of birth, linear effect of animal age, linear and quadratic effects of dam age, and random effects of direct additive genetic and error. For YW model also included the permanent environmental effects of dam. RFI showed null genetic and phenotypic correlations with growth traits, however, low and favorable genetic correlation between RFI and HH was observed. Genetic correlation of FE (low and positive) and RG (high and positive) with growth traits were favorable to select animals with efficiency of growth and feed. Moreover, phenotypic correlation between EF and GR and HH were negative (Table 1). Growth traits can be used as indicators of feed efficiency traits in beef cattle.
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spelling doaj.art-f45cf93c54064fcf9b57f86c6e5f9c232023-09-29T20:54:12ZengInstituto de ZootecniaBoletim de Indústria Animal1981-41002015-02-0171Genetic and phenotypic correlations of feed efficiency with growth traits in Nellore cattleThaís Matos CeaceroJoslaine Noely dos Santos Gonçalves CyrilloRoberta Carrilho CanesinMarcela MorelliLúcia Galvão de AlbuquerqueMaria Eugênia Zerlotti MercadanteFeed efficiency is difficult to evaluate because individual feeding are required. An alternative is selecting animals based on traits easier to obtain and genetically favorably correlated with feed efficiency traits. This study aimed to estimate genetic and phenotypic correlations between feed efficiency traits (residual feed intake €“ RFI, feed efficiency €“ FE and residual BW gain €“ RG) with yearling weight (YW), hip height (HH) and girth circumference (GC) in Nellore cattle. Feed efficiency data set consisted of 887 records of DMI, ADG and BW0.75 obtained during performance tests (83 ± 15 d) to calculate RFI (0.005 ± 0.58 kg DM/d), FE (0.14 ± 0.03) and RG (0.00 ± 0.11 kg/d). FE was calculated as ADG and DMI ratio, RFI was estimated as the error of multiple regression of DMI on ADG and BW0.75, and RG was estimated as the error of multiple regression of ADG on DMI and BW0.75. The YW data set consisted of 7,948 records of males (314.45 ± 45.85 kg) and females (282.68 ± 48.19 kg) adjusted to 378 and 550 d of age, respectively. The HH consisted of 6,418 records of males (131.80 ± 5.40 cm) and females (132.51 ± 5.38 cm), and 3,745 records of GC of males (162.56 ± 8.48 cm) and females (167.72 ± 8.08 cm). Pedigree file contained 9,830 animals. Growth traits were analyzed as unit standard deviation of each sex/age. (Co)variance components were estimated through two-trait animal models by restricted maximum likelihood method using MTDFREML software. For RFI, FE and RG traits, models included fixed effect of test group (year-sex-facility), linear effect of animal age in the middle of performance test, linear and quadratic effects of dam age, and random effects of direct additive genetic and error. For growth traits models included the fixed effects of contemporary group (year-herd-sex) and month of birth, linear effect of animal age, linear and quadratic effects of dam age, and random effects of direct additive genetic and error. For YW model also included the permanent environmental effects of dam. RFI showed null genetic and phenotypic correlations with growth traits, however, low and favorable genetic correlation between RFI and HH was observed. Genetic correlation of FE (low and positive) and RG (high and positive) with growth traits were favorable to select animals with efficiency of growth and feed. Moreover, phenotypic correlation between EF and GR and HH were negative (Table 1). Growth traits can be used as indicators of feed efficiency traits in beef cattle.http://localhost/index.php/bia/article/view/400hip heightgirth circumferenceresidual feed intake
spellingShingle Thaís Matos Ceacero
Joslaine Noely dos Santos Gonçalves Cyrillo
Roberta Carrilho Canesin
Marcela Morelli
Lúcia Galvão de Albuquerque
Maria Eugênia Zerlotti Mercadante
Genetic and phenotypic correlations of feed efficiency with growth traits in Nellore cattle
Boletim de Indústria Animal
hip height
girth circumference
residual feed intake
title Genetic and phenotypic correlations of feed efficiency with growth traits in Nellore cattle
title_full Genetic and phenotypic correlations of feed efficiency with growth traits in Nellore cattle
title_fullStr Genetic and phenotypic correlations of feed efficiency with growth traits in Nellore cattle
title_full_unstemmed Genetic and phenotypic correlations of feed efficiency with growth traits in Nellore cattle
title_short Genetic and phenotypic correlations of feed efficiency with growth traits in Nellore cattle
title_sort genetic and phenotypic correlations of feed efficiency with growth traits in nellore cattle
topic hip height
girth circumference
residual feed intake
url http://localhost/index.php/bia/article/view/400
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