Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population

Detalhes bibliográficos
Autor(a) principal: Manuel, Matos
Data de Publicação: 2019
Outros Autores: Cavani, Ligia, Millen, Danilo Domingues, Andrighetto, Cristiana, Lupatini, Gelci Carlos, Fonseca, Ricardo da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/160633
Resumo: Interest in improving feed efficiency of cattle has been increasing. The residual feed intake (RFI), the most commonly used measurement of feed efficiency, is expensive and can only be used in a small number of animals. The Kleiber Index has also been proposed to measure RFI. In this study, we estimated genetic parameters for the Kleiber Index average daily weight gain and adjusted weights to obtain a more comprehensive understanding of potential responses to selection and support the development of breeding strategies. Genetic analyses were conducted on animal records from a data file with 36,505 animals recorded by ABCZ (Brazilian Association of Zebu Breeders). Restricted maximum likelihood estimates of genetic parameters were computed with Wombat software. Heritabilities ranged from 0.24 to 0.22 for adjusted weights, from 0.12 to 0.26 for Kleiber Indexes and from 0.15 to 0.22 for average daily gains. Correlations between traits ranged from -0.06 to 0.99. Results indicated that Kleiber Indexes at different ages do not constitute a viable solution for the selection of bulls and cows for Brazilian Brahman populations in terms of feeding efficiency.
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spelling Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle populationgenetic correlationaverage daily gainheritabilitystandard age weightInterest in improving feed efficiency of cattle has been increasing. The residual feed intake (RFI), the most commonly used measurement of feed efficiency, is expensive and can only be used in a small number of animals. The Kleiber Index has also been proposed to measure RFI. In this study, we estimated genetic parameters for the Kleiber Index average daily weight gain and adjusted weights to obtain a more comprehensive understanding of potential responses to selection and support the development of breeding strategies. Genetic analyses were conducted on animal records from a data file with 36,505 animals recorded by ABCZ (Brazilian Association of Zebu Breeders). Restricted maximum likelihood estimates of genetic parameters were computed with Wombat software. Heritabilities ranged from 0.24 to 0.22 for adjusted weights, from 0.12 to 0.26 for Kleiber Indexes and from 0.15 to 0.22 for average daily gains. Correlations between traits ranged from -0.06 to 0.99. Results indicated that Kleiber Indexes at different ages do not constitute a viable solution for the selection of bulls and cows for Brazilian Brahman populations in terms of feeding efficiency.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2019-08-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/16063310.1590/1678-992x-2018-0062Scientia Agricola; v. 76 n. 6 (2019); 459-462Scientia Agricola; Vol. 76 Núm. 6 (2019); 459-462Scientia Agricola; Vol. 76 No. 6 (2019); 459-4621678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/160633/154886Copyright (c) 2019 Scientia Agricolainfo:eu-repo/semantics/openAccessManuel, MatosCavani, LigiaMillen, Danilo DominguesAndrighetto, CristianaLupatini, Gelci CarlosFonseca, Ricardo da2019-08-02T17:12:54Zoai:revistas.usp.br:article/160633Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2019-08-02T17:12:54Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population
title Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population
spellingShingle Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population
Manuel, Matos
genetic correlation
average daily gain
heritability
standard age weight
title_short Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population
title_full Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population
title_fullStr Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population
title_full_unstemmed Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population
title_sort Estimation of genetic parameters for weight traits and Kleiber Index in a Brahman cattle population
author Manuel, Matos
author_facet Manuel, Matos
Cavani, Ligia
Millen, Danilo Domingues
Andrighetto, Cristiana
Lupatini, Gelci Carlos
Fonseca, Ricardo da
author_role author
author2 Cavani, Ligia
Millen, Danilo Domingues
Andrighetto, Cristiana
Lupatini, Gelci Carlos
Fonseca, Ricardo da
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Manuel, Matos
Cavani, Ligia
Millen, Danilo Domingues
Andrighetto, Cristiana
Lupatini, Gelci Carlos
Fonseca, Ricardo da
dc.subject.por.fl_str_mv genetic correlation
average daily gain
heritability
standard age weight
topic genetic correlation
average daily gain
heritability
standard age weight
description Interest in improving feed efficiency of cattle has been increasing. The residual feed intake (RFI), the most commonly used measurement of feed efficiency, is expensive and can only be used in a small number of animals. The Kleiber Index has also been proposed to measure RFI. In this study, we estimated genetic parameters for the Kleiber Index average daily weight gain and adjusted weights to obtain a more comprehensive understanding of potential responses to selection and support the development of breeding strategies. Genetic analyses were conducted on animal records from a data file with 36,505 animals recorded by ABCZ (Brazilian Association of Zebu Breeders). Restricted maximum likelihood estimates of genetic parameters were computed with Wombat software. Heritabilities ranged from 0.24 to 0.22 for adjusted weights, from 0.12 to 0.26 for Kleiber Indexes and from 0.15 to 0.22 for average daily gains. Correlations between traits ranged from -0.06 to 0.99. Results indicated that Kleiber Indexes at different ages do not constitute a viable solution for the selection of bulls and cows for Brazilian Brahman populations in terms of feeding efficiency.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/160633
10.1590/1678-992x-2018-0062
url https://www.revistas.usp.br/sa/article/view/160633
identifier_str_mv 10.1590/1678-992x-2018-0062
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/160633/154886
dc.rights.driver.fl_str_mv Copyright (c) 2019 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 76 n. 6 (2019); 459-462
Scientia Agricola; Vol. 76 Núm. 6 (2019); 459-462
Scientia Agricola; Vol. 76 No. 6 (2019); 459-462
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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