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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
11/09/2017 |
Data da última atualização: |
14/05/2018 |
Autoria: |
ROSA, A. do N.; ÁVILA, A. R. R. de.; MACHADO, C. H. C.; LEDIC, I. L.; LEITE, I. F.; BERGMANN, J. A. G.; TROVO, J. B. de F.; JOSAHKIAN, L. A.; BONILHA NETO, L. M.; PINEDA, N.; FELÍCIO, P. E. de.; CAMARGOS, R. K. de.; OLEA, U.; KOURY, W. |
Título: |
Seminário Nacional : Avaliação e resultados : Revisão de critérios de seleção e julgamento em gado de corte. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
Uberaba: ABCZ, 1997. |
Páginas: |
[44 p]. |
Idioma: |
Português |
Conteúdo: |
Objetivos. 1) Obter dados que permitam a conceituação de um biotipo referencia para os zebuínos produtores de carne, capaz de atender aos múltiplos sistemas de produção existentes no pais, no que se refere, principalmente, as características de carcaça. 2) Avaliar a consistência dos critérios adotados pelos integrantes do CJRZ - Colégio de Jurados das Raças Zebuínas, para julgar reprodutores visando a produção de carne. 3) Obter subsídios para o estabelecimento de programas de treinamentos e reciclagem dos integrantes do CJRZ. |
Palavras-Chave: |
Advance; Beef cattle; Breeding; Criterio; Gado de corte; Julgamento; Melhoramento; Melhoramento genetico; Pecuaria; Producao; Production; Raca zebu; Selecao; Selection. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01706nam a2200445 a 4500 001 1015930 005 2018-05-14 008 1997 bl uuuu u0uu1 u #d 100 1 $aROSA, A. do N. 245 $aSeminário Nacional$bAvaliação e resultados : Revisão de critérios de seleção e julgamento em gado de corte. 260 $aUberaba: ABCZ$c1997 300 $a[44 p]. 520 $aObjetivos. 1) Obter dados que permitam a conceituação de um biotipo referencia para os zebuínos produtores de carne, capaz de atender aos múltiplos sistemas de produção existentes no pais, no que se refere, principalmente, as características de carcaça. 2) Avaliar a consistência dos critérios adotados pelos integrantes do CJRZ - Colégio de Jurados das Raças Zebuínas, para julgar reprodutores visando a produção de carne. 3) Obter subsídios para o estabelecimento de programas de treinamentos e reciclagem dos integrantes do CJRZ. 653 $aAdvance 653 $aBeef cattle 653 $aBreeding 653 $aCriterio 653 $aGado de corte 653 $aJulgamento 653 $aMelhoramento 653 $aMelhoramento genetico 653 $aPecuaria 653 $aProducao 653 $aProduction 653 $aRaca zebu 653 $aSelecao 653 $aSelection 700 1 $aÁVILA, A. R. R. de. 700 1 $aMACHADO, C. H. C. 700 1 $aLEDIC, I. L. 700 1 $aLEITE, I. F. 700 1 $aBERGMANN, J. A. G. 700 1 $aTROVO, J. B. de F. 700 1 $aJOSAHKIAN, L. A. 700 1 $aBONILHA NETO, L. M. 700 1 $aPINEDA, N. 700 1 $aFELÍCIO, P. E. de. 700 1 $aCAMARGOS, R. K. de. 700 1 $aOLEA, U. 700 1 $aKOURY, W.
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
05/02/2016 |
Data da última atualização: |
02/07/2017 |
Tipo da produção científica: |
Publicação em Anais de Congresso |
Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; GARCIA, A. F. |
Afiliação: |
Luis Felipe V. Ferrão, ESALQ/USP; Romário Gava Ferrão, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Aymbiré Francisco Almeida da Fonseca, Incaper/Embrapa Café; Antônio Augusto Franco Garcia, ESALQ/USP. |
Título: |
Mixed model to multiple Harvest-Location trial applied to genomic prediction in Coffea canephora. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. não paginado. P1168. |
Idioma: |
Português |
Conteúdo: |
Genomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved may be used as basis for additional studies into the Genus Coffea and expanded for other perennial crops, that have a similar experimentation design. MenosGenomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved ... Mostrar Tudo |
Palavras-Chave: |
Café Conilon; Coffea canephora; Genomic Selection. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
http://biblioteca.incaper.es.gov.br/digital/bitstream/item/2728/1/Mixed-Model-to-Multiple-Harvest-Location1.pdf
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Marc: |
LEADER 02337nam a2200193 a 4500 001 1009544 005 2017-07-02 008 2016 bl uuuu u01u1 u #d 100 1 $aFERRÃO, L. F. V. 245 $aMixed model to multiple Harvest-Location trial applied to genomic prediction in Coffea canephora.$h[electronic resource] 260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. não paginado. P1168.$c1168 520 $aGenomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved may be used as basis for additional studies into the Genus Coffea and expanded for other perennial crops, that have a similar experimentation design. 653 $aCafé Conilon 653 $aCoffea canephora 653 $aGenomic Selection 700 1 $aFERRÃO, R. G. 700 1 $aFERRÃO, M. A. G. 700 1 $aFONSECA, A. F. A. da. 700 1 $aGARCIA, A. F.
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
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Registro completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Identificador: |
6823 |
Data corrente: |
22/05/2015 |
Data da última atualização: |
26/04/2018 |
Código do título: |
0000248 |
Título e Subtítulo: |
REVISTA INOVES |
Título posterior: |
INOVES |
Entidade: |
Secretaria de Estado de Gestão e Recursos Humanos |
Local de publicação: |
vitória, ES |
Periodicidade: |
Anual |
Inicio de publicação: |
2005 |
URL: |
http://www.inoves.es.gov.br/Revistas/Revistas.aspx
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