Genetic parameters for visual scores, growth and carcass traits in Nellore Cattle

Abstract Growth and carcass traits are essential selection criteria for beef cattle breeding programs. However, it is necessary to combine these measurements with body composition traits to meet the demand of the consumer market. This study aimed to estimate the genetic parameters for visual scores,...

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Main Authors: BYANKA B. SOARES, LUDMILLA C. BRUNES, FERNANDO SEBASTIAN BALDI, ADRIANA S. DO CARMO, LETÍCIA S. PEREIRA, RAFAEL A. CARVALHO, MARCELO G. NARCISO, SABRINA T. AMORIM, ROBERTO DANIEL SAINZ, CLÁUDIO U. MAGNABOSCO
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2024-03-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652024000101308&lng=en&tlng=en
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author BYANKA B. SOARES
LUDMILLA C. BRUNES
FERNANDO SEBASTIAN BALDI
ADRIANA S. DO CARMO
LETÍCIA S. PEREIRA
RAFAEL A. CARVALHO
MARCELO G. NARCISO
SABRINA T. AMORIM
ROBERTO DANIEL SAINZ
CLÁUDIO U. MAGNABOSCO
author_facet BYANKA B. SOARES
LUDMILLA C. BRUNES
FERNANDO SEBASTIAN BALDI
ADRIANA S. DO CARMO
LETÍCIA S. PEREIRA
RAFAEL A. CARVALHO
MARCELO G. NARCISO
SABRINA T. AMORIM
ROBERTO DANIEL SAINZ
CLÁUDIO U. MAGNABOSCO
author_sort BYANKA B. SOARES
collection DOAJ
description Abstract Growth and carcass traits are essential selection criteria for beef cattle breeding programs. However, it is necessary to combine these measurements with body composition traits to meet the demand of the consumer market. This study aimed to estimate the genetic parameters for visual scores, growth (pre and post-weaning weights), and carcass (rib eye area (REA), back and rump fat thickness) traits in Nellore cattle using Bayesian inference. Data from 12,060 animals belonging to the HoRa Hofig Ramos herd were used. Morphological traits were evaluated by the MERCOS methodology. The heritability estimates obtained ranged from low to high magnitude, from 0.15 to 0.28 for visual scores, 0.13 to 0.44 for growth, and from 0.42 to 0.46 for carcass traits. Genetic correlations between visual scores and growth traits were generally of moderate to high magnitudes, however, visual scores showed low correlations with carcass traits, except between sacral bone and structure and REA. Selection for visual score traits can lead to favorable responses in body weight and vice versa, but the same is not true for carcass traits. Morphological categorical traits can be used as complementary tools that add value to selection.
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spelling doaj.art-e9ea43fa2fb640c795b5b234763220ea2024-03-05T07:42:16ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902024-03-0196110.1590/0001-3765202420230010Genetic parameters for visual scores, growth and carcass traits in Nellore CattleBYANKA B. SOAREShttps://orcid.org/0000-0001-6776-6746LUDMILLA C. BRUNEShttps://orcid.org/0000-0001-9012-520XFERNANDO SEBASTIAN BALDIhttps://orcid.org/0000-0003-4094-2011ADRIANA S. DO CARMOhttps://orcid.org/0000-0002-2712-4789LETÍCIA S. PEREIRAhttps://orcid.org/0000-0003-4450-3470RAFAEL A. CARVALHOhttps://orcid.org/0000-0002-4875-5416MARCELO G. NARCISOhttps://orcid.org/0000-0003-4265-8006SABRINA T. AMORIMhttps://orcid.org/0000-0003-4130-2040ROBERTO DANIEL SAINZhttps://orcid.org/0000-0002-4925-8614CLÁUDIO U. MAGNABOSCOhttps://orcid.org/0000-0002-7274-0134Abstract Growth and carcass traits are essential selection criteria for beef cattle breeding programs. However, it is necessary to combine these measurements with body composition traits to meet the demand of the consumer market. This study aimed to estimate the genetic parameters for visual scores, growth (pre and post-weaning weights), and carcass (rib eye area (REA), back and rump fat thickness) traits in Nellore cattle using Bayesian inference. Data from 12,060 animals belonging to the HoRa Hofig Ramos herd were used. Morphological traits were evaluated by the MERCOS methodology. The heritability estimates obtained ranged from low to high magnitude, from 0.15 to 0.28 for visual scores, 0.13 to 0.44 for growth, and from 0.42 to 0.46 for carcass traits. Genetic correlations between visual scores and growth traits were generally of moderate to high magnitudes, however, visual scores showed low correlations with carcass traits, except between sacral bone and structure and REA. Selection for visual score traits can lead to favorable responses in body weight and vice versa, but the same is not true for carcass traits. Morphological categorical traits can be used as complementary tools that add value to selection.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652024000101308&lng=en&tlng=enBayesian methodsgenetic associationmorphological traitsweight performanceZebu Cattle
spellingShingle BYANKA B. SOARES
LUDMILLA C. BRUNES
FERNANDO SEBASTIAN BALDI
ADRIANA S. DO CARMO
LETÍCIA S. PEREIRA
RAFAEL A. CARVALHO
MARCELO G. NARCISO
SABRINA T. AMORIM
ROBERTO DANIEL SAINZ
CLÁUDIO U. MAGNABOSCO
Genetic parameters for visual scores, growth and carcass traits in Nellore Cattle
Anais da Academia Brasileira de Ciências
Bayesian methods
genetic association
morphological traits
weight performance
Zebu Cattle
title Genetic parameters for visual scores, growth and carcass traits in Nellore Cattle
title_full Genetic parameters for visual scores, growth and carcass traits in Nellore Cattle
title_fullStr Genetic parameters for visual scores, growth and carcass traits in Nellore Cattle
title_full_unstemmed Genetic parameters for visual scores, growth and carcass traits in Nellore Cattle
title_short Genetic parameters for visual scores, growth and carcass traits in Nellore Cattle
title_sort genetic parameters for visual scores growth and carcass traits in nellore cattle
topic Bayesian methods
genetic association
morphological traits
weight performance
Zebu Cattle
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652024000101308&lng=en&tlng=en
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