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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
22/12/2023 |
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Data da última atualização: |
22/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RAMOS, P. B. B.; MENEZES, G. R. de O.; SILVA, D. A. DA; LOURENCO, D.; SANTIAGO, G. G.; TORRES JUNIOR, R. A. de A.; SILVA, F. F. E; LOPES, P. S.; VERONEZA, R. |
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Afiliação: |
PEDRO VITAL BRASIL RAMOS, UNIVERSIDADE FEDERAL DE VIÇOSA; GILBERTO ROMEIRO DE OLIVEIRA MENEZE, CNPGC; DELVAN ALVES DA SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; DANIELA LOURENCO, UNIVERSITY OF GEORGIA; GUSTAVO GARCIA SANTIAGO, GDM SEEDS; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; FABYANO FONSECA E SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; PAULO SÁVIO LOPES, UNIVERSIDADE FEDERAL DE VIÇOSA; RENATA VERONEZE, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
Genomic analysis of feed efficiency traits in beef cattle using random regression models. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Journal Animal Breeding and Genetics, 2023. |
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DOI: |
10.1111/jbg.12840. |
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Idioma: |
Inglês |
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Notas: |
Online ahead of print. |
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Conteúdo: |
ABSTRACT - Feed efficiency plays a major role in the overall profitability and sustainability of the beef cattle industry, as it is directly related to the reduction of the animal demand for input and methane emissions. Traditionally, the average daily feed intake and weight gain are used to calculate feed efficiency traits. However, feed efficiency traits can be analysed longitudinally using random regression models (RRMs), which allow fitting random genetic and environmental effects over time by considering the covariance pattern between the daily records. Therefore, the objectives of this study were to: (1) propose genomic evaluations for dry matter intake (DMI), body weight gain (BWG), residual feed intake (RFI) and residual weight gain (RWG) data collected during an 84-day feedlot test period via RRMs; (2) compare the goodness-of-fit of RRM using Legendre polynomials (LP) and B-spline functions; (3) evaluate the genetic parameters behaviour for feed efficiency traits and their implication for new selection strategies. The datasets were provided by the EMBRAPA–GENEPLUS beef cattle breeding program and included 2920 records for DMI, 2696 records for BWG and 4675 genotyped animals. Genetic parameters and genomic breeding values (GEBVs) were estimated by RRMs under ssGBLUP for Nellore cattle using orthogonal LPs and B-spline. Models were compared based on the deviance information criterion (DIC). The ranking of the average GEBV of each test week and the overall GEBV average were compared by the percentage of individuals in common and the Spearman correlation coefficient (top 1%, 5%, 10% and 100%). The highest goodness-of-fit was obtained with linear B-Spline function considering heterogeneous residual variance. The heritability estimates across the test period for DMI, BWG, RFI and RWG ranged from 0.06 to 0.21, 0.11 to 0.30, 0.03 to 0.26 and 0.07 to 0.27, respectively. DMI and RFI presented within-trait genetic correlations ranging from low to high magnitude across different performance test-day. In contrast, BWG and RWG presented negative genetic correlations between the first 3weeks and the other days of performance tests. DMI and RFI presented a high-ranking similarity between the GEBV average of week eight and the overall GEBV average, with Spearman correlations and percentages of individuals selected in common ranging from 0.95 to 1.00 and 93 to 100, respectively. Week 11 presented the highest Spearman correlations (ranging from 0.94 to 0.98) and percentages of individuals selected in common (ranging from 85 to 94) of BWG and RWG with the average GEBV of the entire period of the test. In conclusion, the RRM using linear B-splines is a feasible alternative for the genomic evaluation of feed efficiency. Heritability estimates of DMI, RFI, BWG and RWG indicate enough additive genetic variance to achieve a moderate response to selection. A new selection strategy can be adopted by reducing the performance test to 56days for DMI and RFI selection and 77days for BWG and RWG selection. MenosABSTRACT - Feed efficiency plays a major role in the overall profitability and sustainability of the beef cattle industry, as it is directly related to the reduction of the animal demand for input and methane emissions. Traditionally, the average daily feed intake and weight gain are used to calculate feed efficiency traits. However, feed efficiency traits can be analysed longitudinally using random regression models (RRMs), which allow fitting random genetic and environmental effects over time by considering the covariance pattern between the daily records. Therefore, the objectives of this study were to: (1) propose genomic evaluations for dry matter intake (DMI), body weight gain (BWG), residual feed intake (RFI) and residual weight gain (RWG) data collected during an 84-day feedlot test period via RRMs; (2) compare the goodness-of-fit of RRM using Legendre polynomials (LP) and B-spline functions; (3) evaluate the genetic parameters behaviour for feed efficiency traits and their implication for new selection strategies. The datasets were provided by the EMBRAPA–GENEPLUS beef cattle breeding program and included 2920 records for DMI, 2696 records for BWG and 4675 genotyped animals. Genetic parameters and genomic breeding values (GEBVs) were estimated by RRMs under ssGBLUP for Nellore cattle using orthogonal LPs and B-spline. Models were compared based on the deviance information criterion (DIC). The ranking of the average GEBV of each test week and the overall GEBV average... Mostrar Tudo |
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Thesagro: |
Análise Estatística; Gado de Corte; Genótipo. |
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Thesaurus Nal: |
Beef cattle; Feed intake; Genotype; Nellore. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03961naa a2200325 a 4500
001 2160221
005 2023-12-22
008 2023 bl uuuu u00u1 u #d
024 7 $a10.1111/jbg.12840.$2DOI
100 1 $aRAMOS, P. B. B.
245 $aGenomic analysis of feed efficiency traits in beef cattle using random regression models.$h[electronic resource]
260 $c2023
500 $aOnline ahead of print.
520 $aABSTRACT - Feed efficiency plays a major role in the overall profitability and sustainability of the beef cattle industry, as it is directly related to the reduction of the animal demand for input and methane emissions. Traditionally, the average daily feed intake and weight gain are used to calculate feed efficiency traits. However, feed efficiency traits can be analysed longitudinally using random regression models (RRMs), which allow fitting random genetic and environmental effects over time by considering the covariance pattern between the daily records. Therefore, the objectives of this study were to: (1) propose genomic evaluations for dry matter intake (DMI), body weight gain (BWG), residual feed intake (RFI) and residual weight gain (RWG) data collected during an 84-day feedlot test period via RRMs; (2) compare the goodness-of-fit of RRM using Legendre polynomials (LP) and B-spline functions; (3) evaluate the genetic parameters behaviour for feed efficiency traits and their implication for new selection strategies. The datasets were provided by the EMBRAPA–GENEPLUS beef cattle breeding program and included 2920 records for DMI, 2696 records for BWG and 4675 genotyped animals. Genetic parameters and genomic breeding values (GEBVs) were estimated by RRMs under ssGBLUP for Nellore cattle using orthogonal LPs and B-spline. Models were compared based on the deviance information criterion (DIC). The ranking of the average GEBV of each test week and the overall GEBV average were compared by the percentage of individuals in common and the Spearman correlation coefficient (top 1%, 5%, 10% and 100%). The highest goodness-of-fit was obtained with linear B-Spline function considering heterogeneous residual variance. The heritability estimates across the test period for DMI, BWG, RFI and RWG ranged from 0.06 to 0.21, 0.11 to 0.30, 0.03 to 0.26 and 0.07 to 0.27, respectively. DMI and RFI presented within-trait genetic correlations ranging from low to high magnitude across different performance test-day. In contrast, BWG and RWG presented negative genetic correlations between the first 3weeks and the other days of performance tests. DMI and RFI presented a high-ranking similarity between the GEBV average of week eight and the overall GEBV average, with Spearman correlations and percentages of individuals selected in common ranging from 0.95 to 1.00 and 93 to 100, respectively. Week 11 presented the highest Spearman correlations (ranging from 0.94 to 0.98) and percentages of individuals selected in common (ranging from 85 to 94) of BWG and RWG with the average GEBV of the entire period of the test. In conclusion, the RRM using linear B-splines is a feasible alternative for the genomic evaluation of feed efficiency. Heritability estimates of DMI, RFI, BWG and RWG indicate enough additive genetic variance to achieve a moderate response to selection. A new selection strategy can be adopted by reducing the performance test to 56days for DMI and RFI selection and 77days for BWG and RWG selection.
650 $aBeef cattle
650 $aFeed intake
650 $aGenotype
650 $aNellore
650 $aAnálise Estatística
650 $aGado de Corte
650 $aGenótipo
700 1 $aMENEZES, G. R. de O.
700 1 $aSILVA, D. A. DA
700 1 $aLOURENCO, D.
700 1 $aSANTIAGO, G. G.
700 1 $aTORRES JUNIOR, R. A. de A.
700 1 $aSILVA, F. F. E
700 1 $aLOPES, P. S.
700 1 $aVERONEZA, R.
773 $tJournal Animal Breeding and Genetics, 2023.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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Biblioteca |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
23/02/2011 |
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Data da última atualização: |
22/08/2022 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
ALVES, E. R. de A.; ROCHA, D. de P. |
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Afiliação: |
ELISEU ROBERTO DE ANDRADE ALVES, DE-PR. |
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Título: |
Ganhar Tempo é Possível? |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: GASQUES, J. G.; VIEIRA FILHO, J. E. R.; NAVARRO, Z. (Org.). A agricultura brasileira: desempenho, desafios e perspectivas. Brasília, DF: IPEA, 2010. cap. 11, p. 275-290. |
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Idioma: |
Português |
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Conteúdo: |
A política agrícola contém instrumentos de alcance geral, como a política de preços, controle de qualidade, crédito rural – na qual há grupos mais favorecidos –,exportação, geração de tecnologia, e preservação do meio ambiente. Este tipo de política tem a vantagem de minimizar as distorções das ações do governo. Contudo, há instrumentos de caráter específico, cujo objetivo principal é segurar a população no meio rural; por isso, têm como foco a agricultura familiar, os assentados da reforma agrária e o atendimento das reivindicações de terra dos sem-terra. A razão de ser das políticas específicas é frear a ação do mercado, pela qual os campos seriam esvaziados muito mais rapidamente. Assim se faz tanto no mundo desenvolvido como no em esenvolvimento, com a visão de se ganhar tempo para o ajuste do mercado urbano de trabalho. Como resultado destas políticas, mantém-se muito mais gente no meio rural que este normalmente comporta, na expectativa de que se minimizem os problemas urbanos. |
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Palavras-Chave: |
PRONAF. |
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Thesagro: |
Agricultura familiar; Leite; Migração rural urbana; Política agrícola. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/81292/1/Ganhar-tempo-e-possivel.pdf
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Marc: |
LEADER 01658naa a2200193 a 4500
001 1878591
005 2022-08-22
008 2010 bl uuuu u00u1 u #d
100 1 $aALVES, E. R. de A.
245 $aGanhar Tempo é Possível?
260 $c2010
520 $aA política agrícola contém instrumentos de alcance geral, como a política de preços, controle de qualidade, crédito rural – na qual há grupos mais favorecidos –,exportação, geração de tecnologia, e preservação do meio ambiente. Este tipo de política tem a vantagem de minimizar as distorções das ações do governo. Contudo, há instrumentos de caráter específico, cujo objetivo principal é segurar a população no meio rural; por isso, têm como foco a agricultura familiar, os assentados da reforma agrária e o atendimento das reivindicações de terra dos sem-terra. A razão de ser das políticas específicas é frear a ação do mercado, pela qual os campos seriam esvaziados muito mais rapidamente. Assim se faz tanto no mundo desenvolvido como no em esenvolvimento, com a visão de se ganhar tempo para o ajuste do mercado urbano de trabalho. Como resultado destas políticas, mantém-se muito mais gente no meio rural que este normalmente comporta, na expectativa de que se minimizem os problemas urbanos.
650 $aAgricultura familiar
650 $aLeite
650 $aMigração rural urbana
650 $aPolítica agrícola
653 $aPRONAF
700 1 $aROCHA, D. de P.
773 $tIn: GASQUES, J. G.; VIEIRA FILHO, J. E. R.; NAVARRO, Z. (Org.). A agricultura brasileira: desempenho, desafios e perspectivas. Brasília, DF: IPEA, 2010. cap. 11, p. 275-290.
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