Meta‑analysis of genetic parameter estimates of residual feed intake and of its component traits in cattle
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
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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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 |
_version_ |
1793416686116798464 |