Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle

Detalhes bibliográficos
Autor(a) principal: Del Claro, Ana Cecília
Data de Publicação: 2012
Outros Autores: Mercadante, Maria Eugênia Zerlotti, Silva, Josineudson Augusto II Vasconcelos
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/11530
Resumo: The objective of this work was to estimate, by meta‑analysis, the heritability (h2) and the genetic (rg)and phenotypic (rf) correlations of residual feed intake (RFI), and of its component traits in beef cattle from19 breeds or genetic groups. Twenty‑two scientific papers published from 1963 to 2011, from eight countries,totaling 52,637 cattle of ages from 28 days up to slaughter, were evaluated. The estimates of RFI, dry matterintake (DMI), average daily gain (ADG) and metabolic weight (BW0.75) were weighted by the inverse of samplevariance. The variation between studies of h2 for each trait was analyzed by weighted least squares. The effectsof sex, country and breed were significant for h2 of RFI, explaining 67% of variation between studies. ForDMI, country and breed effects were significant and explained 96% of variation. Pooled estimates of h2 were:0.255±0.008, 0.278±0.012, 0.321±0.015, and 0.397±0.032 for RFI, DMI, ADG and BW0.75, respectively. Pooled estimates of genetic and phenotypic correlations were low between RFI and ADG and between RFI and BW0.75 (from ‑0.021±0.034 to 0.025±0.035), and moderate between RFI and DMI (0.636±0.035 and 0.698±0.041) and between DMI, ADG and BW0.75 (0.441±0.062 to 0.688±0.032). The trait RFI has lower heritability estimates than its components.
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spelling Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattleMeta‑análise de parâmetros genéticos relacionados ao consumo alimentar residual e a suas características componentes em bovinosconsumo de matéria seca, correlação genética, eficiência alimentar, estimativas combinadas, herdabilidade, peso metabólico.dry matter intake, genetic correlation, feed efficiency, pooled estimates, heritability, metabolic weight.The objective of this work was to estimate, by meta‑analysis, the heritability (h2) and the genetic (rg)and phenotypic (rf) correlations of residual feed intake (RFI), and of its component traits in beef cattle from19 breeds or genetic groups. Twenty‑two scientific papers published from 1963 to 2011, from eight countries,totaling 52,637 cattle of ages from 28 days up to slaughter, were evaluated. The estimates of RFI, dry matterintake (DMI), average daily gain (ADG) and metabolic weight (BW0.75) were weighted by the inverse of samplevariance. The variation between studies of h2 for each trait was analyzed by weighted least squares. The effectsof sex, country and breed were significant for h2 of RFI, explaining 67% of variation between studies. ForDMI, country and breed effects were significant and explained 96% of variation. Pooled estimates of h2 were:0.255±0.008, 0.278±0.012, 0.321±0.015, and 0.397±0.032 for RFI, DMI, ADG and BW0.75, respectively. Pooled estimates of genetic and phenotypic correlations were low between RFI and ADG and between RFI and BW0.75 (from ‑0.021±0.034 to 0.025±0.035), and moderate between RFI and DMI (0.636±0.035 and 0.698±0.041) and between DMI, ADG and BW0.75 (0.441±0.062 to 0.688±0.032). The trait RFI has lower heritability estimates than its components.O objetivo deste trabalho foi estimar, por meio de meta‑análise, a herdabilidade (h2) e as correlaçõesgenética (rg) e fenotípica (rf) do consumo alimentar residual (CAR), e das suas características componentes,em bovinos de 19 raças ou grupamentos genéticos. Foram utilizados 22 trabalhos científicos publicados entre1963 e 2011, de oito países, o que totalizou 52.637 bovinos com idades que variaram de 28 dias até a idade deabate. As estimativas de CAR, consumo de matéria seca (CMS), ganho médio diário (GMD) e peso metabólico(PV0,75) foram ponderadas pelo inverso da variância amostral. A variação da h2 de cada característica entre osestudos foi analisada por quadrados mínimos ponderados. Os efeitos de sexo, país e raça foram significativospara h2 de CAR e explicaram 67% da variação entre os estudos. Para CMS, os efeitos de país e raça foramsignificativos e explicaram 96% da variação. As estimativas combinadas de h2 foram: 0,255±0,008, 0,278±0,012, 0,321±0,015 e 0,397±0,032 para CAR, CMS, GMD e PV0,75, respectivamente. As estimativas combinadas de correlação genética e fenotípica foram baixas entre CAR e GMD e entre CAR e PV0,75 (de ‑0,021±0,034 a 0,025±0,035), e de média magnitude entre CAR e CMS (0,636±0,035 a 0,698±0,041) e entre CMS, GMD e PV0,75 (0,441±0,062 a 0,688±0,032). O CAR apresenta estimativa de herdabilidade menor que a de suas características componentes. Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraFundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDel Claro, Ana CecíliaMercadante, Maria Eugênia ZerlottiSilva, Josineudson Augusto II Vasconcelos2012-04-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/11530Pesquisa Agropecuaria Brasileira; v.47, n.2, fev. 2012; 302-310Pesquisa Agropecuária Brasileira; v.47, n.2, fev. 2012; 302-3101678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/11530/6795https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11530/7083info:eu-repo/semantics/openAccess2012-06-17T12:19:23Zoai:ojs.seer.sct.embrapa.br:article/11530Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2012-06-17T12:19:23Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
Meta‑análise de parâmetros genéticos relacionados ao consumo alimentar residual e a suas características componentes em bovinos
title Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
spellingShingle Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
Del Claro, Ana Cecília
consumo de matéria seca, correlação genética, eficiência alimentar, estimativas combinadas, herdabilidade, peso metabólico.
dry matter intake, genetic correlation, feed efficiency, pooled estimates, heritability, metabolic weight.
title_short Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
title_full Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
title_fullStr Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
title_full_unstemmed Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
title_sort Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
author Del Claro, Ana Cecília
author_facet Del Claro, Ana Cecília
Mercadante, Maria Eugênia Zerlotti
Silva, Josineudson Augusto II Vasconcelos
author_role author
author2 Mercadante, Maria Eugênia Zerlotti
Silva, Josineudson Augusto II Vasconcelos
author2_role author
author
dc.contributor.none.fl_str_mv Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

dc.contributor.author.fl_str_mv Del Claro, Ana Cecília
Mercadante, Maria Eugênia Zerlotti
Silva, Josineudson Augusto II Vasconcelos
dc.subject.por.fl_str_mv consumo de matéria seca, correlação genética, eficiência alimentar, estimativas combinadas, herdabilidade, peso metabólico.
dry matter intake, genetic correlation, feed efficiency, pooled estimates, heritability, metabolic weight.
topic consumo de matéria seca, correlação genética, eficiência alimentar, estimativas combinadas, herdabilidade, peso metabólico.
dry matter intake, genetic correlation, feed efficiency, pooled estimates, heritability, metabolic weight.
description The objective of this work was to estimate, by meta‑analysis, the heritability (h2) and the genetic (rg)and phenotypic (rf) correlations of residual feed intake (RFI), and of its component traits in beef cattle from19 breeds or genetic groups. Twenty‑two scientific papers published from 1963 to 2011, from eight countries,totaling 52,637 cattle of ages from 28 days up to slaughter, were evaluated. The estimates of RFI, dry matterintake (DMI), average daily gain (ADG) and metabolic weight (BW0.75) were weighted by the inverse of samplevariance. The variation between studies of h2 for each trait was analyzed by weighted least squares. The effectsof sex, country and breed were significant for h2 of RFI, explaining 67% of variation between studies. ForDMI, country and breed effects were significant and explained 96% of variation. Pooled estimates of h2 were:0.255±0.008, 0.278±0.012, 0.321±0.015, and 0.397±0.032 for RFI, DMI, ADG and BW0.75, respectively. Pooled estimates of genetic and phenotypic correlations were low between RFI and ADG and between RFI and BW0.75 (from ‑0.021±0.034 to 0.025±0.035), and moderate between RFI and DMI (0.636±0.035 and 0.698±0.041) and between DMI, ADG and BW0.75 (0.441±0.062 to 0.688±0.032). The trait RFI has lower heritability estimates than its components.
publishDate 2012
dc.date.none.fl_str_mv 2012-04-09
dc.type.none.fl_str_mv
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://seer.sct.embrapa.br/index.php/pab/article/view/11530
url https://seer.sct.embrapa.br/index.php/pab/article/view/11530
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/11530/6795
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11530/7083
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.47, n.2, fev. 2012; 302-310
Pesquisa Agropecuária Brasileira; v.47, n.2, fev. 2012; 302-310
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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