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Registro Completo |
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Biblioteca(s): |
Embrapa Tabuleiros Costeiros. |
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Data corrente: |
27/08/1996 |
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Data da última atualização: |
27/08/1996 |
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Autoria: |
AMORIM, L.; BERGAMIN FILHO, A. |
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Título: |
Analise comparativa de curvas de progresso do carvao em quatro variedades de cana-de-acucar com o uso de analise de variancia multivariada. |
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Ano de publicação: |
1992 |
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Fonte/Imprenta: |
Fitopatologia Brasileira, v.17, n.1, p.42-48, abr. 1992. |
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Idioma: |
Português |
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Conteúdo: |
A evolucao do carvao da cana-de-acucar foi quantificada nas variedades comerciais NA56-79, SP71-799, SP71-1406 e SP71-6163. O numero de chicotes presentes nas variedades inoculadas e nao inoculadas foi determinado a cada quinze dias, durante quatro anos consecutivos. O progresso da doenca foi avaliado atraves de curvas anuais elaboradas com o numero cumulativo de chicotes em funcao do tempo. Estas curvas de progresso do carvao mostraram a presenca de dois patamares de incidencia da doenca, caracterizando duas fases da curva. Realizou-se uma analize multivariada tomando-se quatro elementos da curva como variaveis (Yi=numero cumulativo de chicotes no primeiro patamar. Ti=tempo entre o plantio ou corte e o estabelecimento do primeiro patamar. Ym=numero maximo de de chicotes. Area=area sob a curva de progresso da doenca). As variaveis Yi, Ym e Area apresentaram alta correlacao entre si e baixa correlacao com a variavel Ti. |
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Thesagro: |
Cana de Açúcar; Carvão; Epidemiologia. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01471naa a2200169 a 4500
001 1354088
005 1996-08-27
008 1992 bl uuuu u00u1 u #d
100 1 $aAMORIM, L.
245 $aAnalise comparativa de curvas de progresso do carvao em quatro variedades de cana-de-acucar com o uso de analise de variancia multivariada.
260 $c1992
520 $aA evolucao do carvao da cana-de-acucar foi quantificada nas variedades comerciais NA56-79, SP71-799, SP71-1406 e SP71-6163. O numero de chicotes presentes nas variedades inoculadas e nao inoculadas foi determinado a cada quinze dias, durante quatro anos consecutivos. O progresso da doenca foi avaliado atraves de curvas anuais elaboradas com o numero cumulativo de chicotes em funcao do tempo. Estas curvas de progresso do carvao mostraram a presenca de dois patamares de incidencia da doenca, caracterizando duas fases da curva. Realizou-se uma analize multivariada tomando-se quatro elementos da curva como variaveis (Yi=numero cumulativo de chicotes no primeiro patamar. Ti=tempo entre o plantio ou corte e o estabelecimento do primeiro patamar. Ym=numero maximo de de chicotes. Area=area sob a curva de progresso da doenca). As variaveis Yi, Ym e Area apresentaram alta correlacao entre si e baixa correlacao com a variavel Ti.
650 $aCana de Açúcar
650 $aCarvão
650 $aEpidemiologia
700 1 $aBERGAMIN FILHO, A.
773 $tFitopatologia Brasileira$gv.17, n.1, p.42-48, abr. 1992.
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Registro original: |
Embrapa Tabuleiros Costeiros (CPATC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
13/08/2021 |
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Data da última atualização: |
29/12/2021 |
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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: |
TEIXEIRA, F. R. F.; NASCIMENTO, M.; CECON, P. R.; CRUZ, C. D.; SILVA, F. F. e; NASCIMENTO, A. C. C.; AZEVEDO, C. F.; MARQUES, D. B. D.; SILVA, M. V. G. B.; CARNEIRO, A. P. S.; PAIXAO, D. M. |
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Afiliação: |
Universidade Federal do Piauí; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; A.C.C. NASCIMENTO, Universidade Federal de Viçosa; Universidade Federal de Viçosa; D.B.D. MARQUES, Universidade Federal de Viçosa; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; A.P.S. CARNEIRO, Universidade Federal de Viçosa; Universidade de São Paulo. |
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Título: |
Genomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 20, n. 1, gmr18691, 2021. |
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DOI: |
http://dx.doi.org/10.4238/gmr18691 |
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Idioma: |
Inglês |
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Conteúdo: |
Knowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology allowed us to identify the best nonlinear model and to construct the genetic lactation curves of a Girolando cattle population, as well as to assess the differences between animals and the association between lactation variables. MenosKnowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology a... Mostrar Tudo |
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Palavras-Chave: |
Previsão genômica. |
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Thesagro: |
Bovino; Curva de Lactação; Gado Leiteiro. |
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Thesaurus NAL: |
Genome; Girolando; Heritability. |
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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/225151/1/Genomic-prediction.pdf
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Marc: |
LEADER 02711naa a2200337 a 4500
001 2133535
005 2021-12-29
008 2021 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr18691$2DOI
100 1 $aTEIXEIRA, F. R. F.
245 $aGenomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models.$h[electronic resource]
260 $c2021
520 $aKnowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology allowed us to identify the best nonlinear model and to construct the genetic lactation curves of a Girolando cattle population, as well as to assess the differences between animals and the association between lactation variables.
650 $aGenome
650 $aGirolando
650 $aHeritability
650 $aBovino
650 $aCurva de Lactação
650 $aGado Leiteiro
653 $aPrevisão genômica
700 1 $aNASCIMENTO, M.
700 1 $aCECON, P. R.
700 1 $aCRUZ, C. D.
700 1 $aSILVA, F. F. e
700 1 $aNASCIMENTO, A. C. C.
700 1 $aAZEVEDO, C. F.
700 1 $aMARQUES, D. B. D.
700 1 $aSILVA, M. V. G. B.
700 1 $aCARNEIRO, A. P. S.
700 1 $aPAIXAO, D. M.
773 $tGenetics and Molecular Research$gv. 20, n. 1, gmr18691, 2021.
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