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 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
10/11/2014 |
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Data da última atualização: |
29/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ARTICO, S.; RIBEIRO ALVES, M.; OLIVEIRA NETO, O. B.; MACEDO, L. L. P. de; SILVEIRA, S.; GROSI-DE-SA, M. F.; MARTINELLI, A. P.; ALVES FERREIRA, M. |
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Afiliação: |
SINARA ARTICO, UFRJ; MARCELO RIBEIRO ALVES, OSWALDO CRUZ FOUNDATION; OSMUNDO BRILHANTE OLIVEIRA-NETO, FACIPLAC; LEONARDO LIMA PEPINO DE MACEDO; SYLVIA SILVEIRA, USP; MARIA FATIMA GROSSI DE SA, CENARGEN; ADRIANA PINHEIRO MARTINELLI, USP; MARCIO ALVES FERREIRA, UFRJ. |
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Título: |
Transcriptome analysis of Gossypium hirsutum flower buds infested by cotton boll weevil (Anthonomus grandis) larvae. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
BMC Genomics, 15:854, 2014. (Open Access). |
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Idioma: |
Inglês |
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Palavras-Chave: |
Laser microdissection (LMD); Transcriptome sequencing; WRKY FT. |
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Thesaurus Nal: |
biotic stress; cotton; larvae. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00787naa a2200265 a 4500
001 1999530
005 2024-04-29
008 2014 bl uuuu u00u1 u #d
100 1 $aARTICO, S.
245 $aTranscriptome analysis of Gossypium hirsutum flower buds infested by cotton boll weevil (Anthonomus grandis) larvae.
260 $c2014
650 $abiotic stress
650 $acotton
650 $alarvae
653 $aLaser microdissection (LMD)
653 $aTranscriptome sequencing
653 $aWRKY FT
700 1 $aRIBEIRO ALVES, M.
700 1 $aOLIVEIRA NETO, O. B.
700 1 $aMACEDO, L. L. P. de
700 1 $aSILVEIRA, S.
700 1 $aGROSI-DE-SA, M. F.
700 1 $aMARTINELLI, A. P.
700 1 $aALVES FERREIRA, M.
773 $tBMC Genomics, 15:854, 2014. (Open Access).
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
28/09/2012 |
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Data da última atualização: |
01/10/2012 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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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. |
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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. |
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Título: |
Estimation of genetic parameters for partial egg production periods by means of random regression models. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 11, n. 3, p. 1819-1829, 2012. |
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Idioma: |
Português |
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Notas: |
Projeto: 01.06.01.006. |
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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. |
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Palavras-Chave: |
Dados longitudinais; Produção de ovo; Regressão aleatória. |
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Thesagro: |
Genética. |
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Categoria do assunto: |
-- |
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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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