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Registro Completo |
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
28/09/2012 |
Data da última atualização: |
01/10/2012 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
VENTURINI, G. C.; GROSSI, D. do A.; RAMOS, S. B.; CRUZ, A. A. R. da; SOUZA, C. G.; LEDUR, M. C.; EL FARO, L.; SCHMIDT, G. S.; MUNARI, D. P. |
Afiliação: |
GUILHERME COSTA VENTURINI, UNESP; DANIELA DO AMARAL GROSSI, UNESP; SALVADOR BOCCALETTI RAMOS, UNESP; VALDECI APARECIDA ROCHA DA CRUZ, UNESP; UNESP; MONICA CORREA LEDUR, CNPSA; LENIRA EL FARO, Agência Paulista de Tecnologia dos Alimentos; GILBERTO SILBER SCHMIDT, SRI; DANÍSIO PRADO MUNARI, UNESP. |
Título: |
Estimation of genetic parameters for partial egg production periods by means of random regression models. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 11, n. 3, p. 1819-1829, 2012. |
Idioma: |
Português |
Notas: |
Projeto: 01.06.01.006. |
Conteúdo: |
We estimated genetic parameters for egg production in different periods by means of random regression models, aiming at selection based on partial egg production from a generation of layers. The production was evaluated for each individual by recording the number of eggs produced from 20 to 70 weeks of age, with partial records taken every three weeks for a total of 17 periods. The covariance functions were estimated with a random regression model by the restricted maximum likelihood method. A model composed of third-order polynomials for the additive effect, ninth-order polynomials for the permanent environment, and a residual variance structure with five distinct classes, was found to be most suitable for adjusting the egg production data for laying hens. The heritability estimates varied from 0.04 to 0.14. The genetic correlations were all positive, varying from 0.10 to 0.99. Selection applied in partial egg production periods will result in greater genetic profit for the adjacent 1820 periods. However, as the distance in time between periods increases, selection becomes less efficient. Selection based on the second period (23 to 25 weeks of age), where greater heritability was estimated, would note benefit the final egg-laying cycle periods. |
Palavras-Chave: |
Dados longitudinais; Produção de ovo; Regressão aleatória. |
Thesagro: |
Genética. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02101naa a2200277 a 4500 001 1935078 005 2012-10-01 008 2012 bl uuuu u00u1 u #d 100 1 $aVENTURINI, G. C. 245 $aEstimation of genetic parameters for partial egg production periods by means of random regression models.$h[electronic resource] 260 $c2012 500 $aProjeto: 01.06.01.006. 520 $aWe estimated genetic parameters for egg production in different periods by means of random regression models, aiming at selection based on partial egg production from a generation of layers. The production was evaluated for each individual by recording the number of eggs produced from 20 to 70 weeks of age, with partial records taken every three weeks for a total of 17 periods. The covariance functions were estimated with a random regression model by the restricted maximum likelihood method. A model composed of third-order polynomials for the additive effect, ninth-order polynomials for the permanent environment, and a residual variance structure with five distinct classes, was found to be most suitable for adjusting the egg production data for laying hens. The heritability estimates varied from 0.04 to 0.14. The genetic correlations were all positive, varying from 0.10 to 0.99. Selection applied in partial egg production periods will result in greater genetic profit for the adjacent 1820 periods. However, as the distance in time between periods increases, selection becomes less efficient. Selection based on the second period (23 to 25 weeks of age), where greater heritability was estimated, would note benefit the final egg-laying cycle periods. 650 $aGenética 653 $aDados longitudinais 653 $aProdução de ovo 653 $aRegressão aleatória 700 1 $aGROSSI, D. do A. 700 1 $aRAMOS, S. B. 700 1 $aCRUZ, A. A. R. da 700 1 $aSOUZA, C. G. 700 1 $aLEDUR, M. C. 700 1 $aEL FARO, L. 700 1 $aSCHMIDT, G. S. 700 1 $aMUNARI, D. P. 773 $tGenetics and Molecular Research$gv. 11, n. 3, p. 1819-1829, 2012.
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2. |  | RIGO, A. A.; DAHMER, A. M.; STEFFENS, C.; STEFFENS, J.; CARRÃO-PANIZZI, M. C. Characterization of soybean cultivars genetically improved for human consumption. International Journal of Food Engineering, Rowland Heights, v. 1, n. 1, p. 1-7, June 2015.Tipo: Artigo em Periódico Indexado | Circulação/Nível: C - 0 |
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4. |  | RIGO, A. A.; DAHMER, A. M.; STEFFENS, C.; STEFFENS, J.; CARRÃO-PANIZZI, M. C.; LEITE, R. S.; MANDARINO, J. M. G.; CEZARO, A. M. de. Obtenção e caracterização de farinhas de soja de variedades geneticamente melhoradas para alimentação humana. In: CONGRESSO BRASILEIRO DE ENGENHARIA QUÍMICA EM INICIAÇÃO CIENTÍFICA, 11., 2015, Campinas. [Anais...]. Campinas: Unicamp, 2015. 6 p.Tipo: Artigo em Anais de Congresso |
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5. |  | DAHMER, A. M.; RIGO, A. A.; STEFFENS, J.; STEFFENS, C.; CARRÃO-PANIZZI, M. C.; LEITE, R. S.; MANDARINO, J. M. G. Determinação da cor de farinhas de soja provenientes da Cultivar BRS 267. In: CONGRESSO BRASILEIRO DE SOJA, 7.; MERCOSOJA, 2015, Florianópolis. Tecnologia e mercado global: perspectivas para soja: anais. Londrina: Embrapa Soja, 2015. 1 CD-ROM.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Soja; Embrapa Trigo. |
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6. |  | RIGO, A. A.; DAHMER, A. M.; STEFFENS, C.; STEFFENS, J.; CARRÃO-PANIZZI, M. C.; LEITE, R. S.; MANDARINO, J. M. G. Teores de isoflavonas em farinha de soja de variedades destinadas a alimentação humana. In: CONGRESSO BRASILEIRO DE SOJA, 7.; MERCOSOJA, 2015, Florianópolis. Tecnologia e mercado global: perspectivas para soja: anais. Londrina: Embrapa Soja, 2015. 3 p. 1 CD-ROM.Tipo: Artigo em Anais de Congresso |
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