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| 1. |  | ZACCARO, R. P.; CARARETO-ALVES, L. M.; TRAVENSOLO, R. F.; WICKERT, E.; LEMOS, E. G. M. Utilização de marcador molecular scar na identificação de Fusarium subglutinans, agente causal da malformação da mangueira. Revista Brasileira de Fruticultura, Jaboticabal, v. 29, n. 3, p. 563-570, dez. 2007.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 2. | | WENDLAND, A.; SILVA, J. F. V.; BINNECK, E.; MARIN, S. R. R.; MORALES, A. M. R.; TRAVENSOLO, R. F.; ALVES, L. C.; LEMOS, E. G. M.; MENTEN, J. O. M.; NEPOMUCENO, A. L. Genetic expression of soybeans: Meloidogyne javanica interaction, revealed by analyses of microarrays. In: WORLD SOYBEAN RESEARCH CONFERENCE, 7.; INTERNATIONAL SOYBEAN PROCESSING AND UTILIZATION CONFERENCE, 4.; CONGRESSO BRASILEIRO DE SOJA, 3., 2004, Foz do Iguassu. Abstracts of contributed papers and posters. Londrina: Embrapa Soybean, 2004. p. 320. (Embrapa Soja. Documentos, 228). Editado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi.| Biblioteca(s): Embrapa Soja. |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
05/10/2011 |
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Data da última atualização: |
05/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
PEREIRA, R. J.; SANTANA JUNIOR, M. L.; BIGNARDI, A. B.; VERNEQUE, R. da S.; EL FARO, L.; ALBUQUERQUE, L. G. de. |
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Afiliação: |
RODRIGO JUNQUEIRA PEREIRA, UNESP; MARIO LUIZ SANTANA JUNIOR, USP; A. B. BIGNARDI, UNESP; RUI DA SILVA VERNEQUE, CNPGL; LENIRA EL FARO, APTA-SP; LUCIA GALVÃO DE ALBUQUERQUE, UNESP. |
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Título: |
Effect of pregnancy on the genetic evaluation of dairy cattle. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 10, n. 3, p. 2190-2201, 2011. |
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DOI: |
https://doi.org/10.4238/vol10-3gmr1151 |
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Idioma: |
Inglês |
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Conteúdo: |
We investigated the effect of stage of pregnancy on estimates of breeding values for milk yield and milk persistency in Gyr and Holstein dairy cattle in Brazil. Test-day milk yield records were analyzed using random regression models with or without the effect of pregnancy. Models were compared using residual variances, heritabilities, rank correlations of estimated breeding values of bulls and cows, and number of nonpregnant cows in the top 200 for milk yield and milk persistency. The estimates of residual variance and heritabilities obtained with the models with or without the effect of pregnancy were similar for the two breeds. Inclusion of the effect of pregnancy in genetic evaluation models for these populations did not affect the ranking of cows and sires based on their predicted breeding values for 305-day cumulative milk yield. In contrast, when we examined persistency of milk yield, lack of adjustment for the effect of pregnancy overestimated breeding values of nonpregnant cows and cows with a long days open period and underestimated breeding values of cows with a short days open period. We recommend that models include the effect of days of pregnancy for estimation of adjustment factors for the effect of pregnancy in genetic evaluations of Dairy Gyr and Holstein cattle. |
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Palavras-Chave: |
Lactation curves; Random regression model; Stage of pregnancy. |
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Thesaurus NAL: |
days open. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/54282/1/Effect-of-pregnancy-on-the-genetic.pdf
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Marc: |
LEADER 02040naa a2200241 a 4500
001 1902431
005 2024-02-05
008 2011 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.4238/vol10-3gmr1151$2DOI
100 1 $aPEREIRA, R. J.
245 $aEffect of pregnancy on the genetic evaluation of dairy cattle.$h[electronic resource]
260 $c2011
520 $aWe investigated the effect of stage of pregnancy on estimates of breeding values for milk yield and milk persistency in Gyr and Holstein dairy cattle in Brazil. Test-day milk yield records were analyzed using random regression models with or without the effect of pregnancy. Models were compared using residual variances, heritabilities, rank correlations of estimated breeding values of bulls and cows, and number of nonpregnant cows in the top 200 for milk yield and milk persistency. The estimates of residual variance and heritabilities obtained with the models with or without the effect of pregnancy were similar for the two breeds. Inclusion of the effect of pregnancy in genetic evaluation models for these populations did not affect the ranking of cows and sires based on their predicted breeding values for 305-day cumulative milk yield. In contrast, when we examined persistency of milk yield, lack of adjustment for the effect of pregnancy overestimated breeding values of nonpregnant cows and cows with a long days open period and underestimated breeding values of cows with a short days open period. We recommend that models include the effect of days of pregnancy for estimation of adjustment factors for the effect of pregnancy in genetic evaluations of Dairy Gyr and Holstein cattle.
650 $adays open
653 $aLactation curves
653 $aRandom regression model
653 $aStage of pregnancy
700 1 $aSANTANA JUNIOR, M. L.
700 1 $aBIGNARDI, A. B.
700 1 $aVERNEQUE, R. da S.
700 1 $aEL FARO, L.
700 1 $aALBUQUERQUE, L. G. de
773 $tGenetics and Molecular Research$gv. 10, n. 3, p. 2190-2201, 2011.
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Embrapa Gado de Leite (CNPGL) |
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