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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
16/03/2011 |
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Data da última atualização: |
09/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GUIMARAES, P. M.; BRASILEIRO, A. C. M.; PROITE, K.; ARAUJO, A. C. G. de; BERTIOLI, S. C. de M. L.; PIC TAYLOR, A.; SILVA, F. R. da; MORGANTE, C. V.; RIBEIRO, S. da G.; BERTIOLI, D. J. |
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Afiliação: |
PATRICIA MESSEMBERG GUIMARAES, CENARGEN; ANA CRISTINA MIRANDA BRASILEIRO, CENARGEN; ANA CLAUDIA GUERRA DE ARAUJO, CENARGEN; SORAYA CRISTINA DE M LEAL BERTIOLI, CENARGEN; SIMONE DA GRACA RIBEIRO, CENARGEN. |
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Título: |
A study of gene expression in the nematode resistant wild peanut relative, Arachis stenosperma, in response to challenge with Meloidogyne arenaria. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Tropical Plant Biology, v. 3, p. 183-192, 2010. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Nematode; Peanut; Resistance genes; Root-knot. |
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Thesagro: |
Meloidogyne Arenaria. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/183184/1/Guimaraes2010-Article-AStudyOfGeneExpressionInTheNem.pdf
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Marc: |
LEADER 00873naa a2200277 a 4500
001 1880983
005 2023-02-09
008 2010 bl uuuu u00u1 u #d
100 1 $aGUIMARAES, P. M.
245 $aA study of gene expression in the nematode resistant wild peanut relative, Arachis stenosperma, in response to challenge with Meloidogyne arenaria.$h[electronic resource]
260 $c2010
650 $aMeloidogyne Arenaria
653 $aNematode
653 $aPeanut
653 $aResistance genes
653 $aRoot-knot
700 1 $aBRASILEIRO, A. C. M.
700 1 $aPROITE, K.
700 1 $aARAUJO, A. C. G. de
700 1 $aBERTIOLI, S. C. de M. L.
700 1 $aPIC TAYLOR, A.
700 1 $aSILVA, F. R. da
700 1 $aMORGANTE, C. V.
700 1 $aRIBEIRO, S. da G.
700 1 $aBERTIOLI, D. J.
773 $tTropical Plant Biology$gv. 3, p. 183-192, 2010.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Gado de Leite. |
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Data corrente: |
13/08/2021 |
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Data da última atualização: |
14/08/2021 |
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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: |
SILVA, R. P. A. da; LOBO, R. N. B.; EL FARO, L.; SANTOS, G. G. dos; BRUNELI, F. A. T.; PEIXOTO, M. G. C. D. |
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Afiliação: |
ROBERTA POLYANA ARAÚJO DA SILVA, Universidade Federal do Ceará; RAIMUNDO NONATO BRAGA LOBO, CNPC; LENIRA EL FARO, Instituto de Zootecnia, Sertãozinho, SP; GLAUCYANA GOUVÊA DOS SANTOS; FRANK ANGELO TOMITA BRUNELI, CNPGL; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL. |
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Título: |
Genetic parameters for somatic cell count (SCC) and milk production traits of Guzerá cows using data normalized by different procedures. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Tropical Animal Health and Production, v. 52, p. 2513-2522, 2020. |
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DOI: |
https://doi.org/10.1007/s11250-020-02277-8 |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to estimate the genetic parameters for somatic cell count (SCC) and the genetic association between SCC and milk production traits using two different methods of SCC normalization. The dataset contained information on 8870 lactation records of 6172 Guzerá dairy cows selected for dual-purpose from 95 herds. The lactation means of SCC were normalized in two ways: (a) SCC1 = log10 (SCC) and (b) SCC2 = log2 (SCC/100) + 3. Multivariate analyses were performed considering milk production traits over the course of 305 days of lactation. Estimates of the variance components and genetic parameters were carried out by the Bayesian inference method, applying Gibbs sampling. Single chains of 2,000,000 iterations were used, with sampling discards of the first 5000 chains and a sampling period of every 50 iterations. The deviation of information criteria (DIC) was used to evaluate the best transformation for standardization of the SCC data, comparing analysis 1 (milk production traits over 305 days and SCC1) with analysis 2 (milk production traits over 305 days and SCC2). According to the data structure of this study, SCC1 normalization was the most efficient method and produced better estimates than normalization by the SCC2 method. The heritability estimates for SCC were low regardless of the transformation method used, indicating a small possibility of expressive genetic gains from the direct selection of these traits. However, the repeatability indicated the potential for increasing heritability estimates if the effects of the permanent environment were reduced. The genetic correlations between the milk yield and SCC traits do not indicate the possibility of a correlated genetic gain from the direct selection of one trait. However, concomitant selection for milk production traits and SCC will likely not affect the individual response either. MenosThis study aimed to estimate the genetic parameters for somatic cell count (SCC) and the genetic association between SCC and milk production traits using two different methods of SCC normalization. The dataset contained information on 8870 lactation records of 6172 Guzerá dairy cows selected for dual-purpose from 95 herds. The lactation means of SCC were normalized in two ways: (a) SCC1 = log10 (SCC) and (b) SCC2 = log2 (SCC/100) + 3. Multivariate analyses were performed considering milk production traits over the course of 305 days of lactation. Estimates of the variance components and genetic parameters were carried out by the Bayesian inference method, applying Gibbs sampling. Single chains of 2,000,000 iterations were used, with sampling discards of the first 5000 chains and a sampling period of every 50 iterations. The deviation of information criteria (DIC) was used to evaluate the best transformation for standardization of the SCC data, comparing analysis 1 (milk production traits over 305 days and SCC1) with analysis 2 (milk production traits over 305 days and SCC2). According to the data structure of this study, SCC1 normalization was the most efficient method and produced better estimates than normalization by the SCC2 method. The heritability estimates for SCC were low regardless of the transformation method used, indicating a small possibility of expressive genetic gains from the direct selection of these traits. However, the repeatability indicated the potential... Mostrar Tudo |
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Palavras-Chave: |
Bayesian inference; Correlação genética; Herdabilidade; Inferência bayesiana; Mastite; Repetibilidade; Zebu cattle. |
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Thesagro: |
Bovino; Gado Guzerá; Gado Zebu; Parâmetro Genético; Produção Leiteira. |
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Thesaurus NAL: |
Genetic correlation; Heritability; Mastitis; Repeatability. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03059naa a2200385 a 4500
001 2133570
005 2021-08-14
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11250-020-02277-8$2DOI
100 1 $aSILVA, R. P. A. da
245 $aGenetic parameters for somatic cell count (SCC) and milk production traits of Guzerá cows using data normalized by different procedures.$h[electronic resource]
260 $c2020
520 $aThis study aimed to estimate the genetic parameters for somatic cell count (SCC) and the genetic association between SCC and milk production traits using two different methods of SCC normalization. The dataset contained information on 8870 lactation records of 6172 Guzerá dairy cows selected for dual-purpose from 95 herds. The lactation means of SCC were normalized in two ways: (a) SCC1 = log10 (SCC) and (b) SCC2 = log2 (SCC/100) + 3. Multivariate analyses were performed considering milk production traits over the course of 305 days of lactation. Estimates of the variance components and genetic parameters were carried out by the Bayesian inference method, applying Gibbs sampling. Single chains of 2,000,000 iterations were used, with sampling discards of the first 5000 chains and a sampling period of every 50 iterations. The deviation of information criteria (DIC) was used to evaluate the best transformation for standardization of the SCC data, comparing analysis 1 (milk production traits over 305 days and SCC1) with analysis 2 (milk production traits over 305 days and SCC2). According to the data structure of this study, SCC1 normalization was the most efficient method and produced better estimates than normalization by the SCC2 method. The heritability estimates for SCC were low regardless of the transformation method used, indicating a small possibility of expressive genetic gains from the direct selection of these traits. However, the repeatability indicated the potential for increasing heritability estimates if the effects of the permanent environment were reduced. The genetic correlations between the milk yield and SCC traits do not indicate the possibility of a correlated genetic gain from the direct selection of one trait. However, concomitant selection for milk production traits and SCC will likely not affect the individual response either.
650 $aGenetic correlation
650 $aHeritability
650 $aMastitis
650 $aRepeatability
650 $aBovino
650 $aGado Guzerá
650 $aGado Zebu
650 $aParâmetro Genético
650 $aProdução Leiteira
653 $aBayesian inference
653 $aCorrelação genética
653 $aHerdabilidade
653 $aInferência bayesiana
653 $aMastite
653 $aRepetibilidade
653 $aZebu cattle
700 1 $aLOBO, R. N. B.
700 1 $aEL FARO, L.
700 1 $aSANTOS, G. G. dos
700 1 $aBRUNELI, F. A. T.
700 1 $aPEIXOTO, M. G. C. D.
773 $tTropical Animal Health and Production$gv. 52, p. 2513-2522, 2020.
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