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Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
08/04/2016 |
Data da última atualização: |
16/08/2017 |
Autoria: |
ESPIRITO SANTO (Estado). Governador, 1967-1971 (Dias Lopes). |
Título: |
Plano de diversificação e desenvolvimento agrícola do Estado do Espírito Santo : análise das consequências da erradicação do café e elaboração de programa de diversificação agrícola. |
Ano de publicação: |
1968 |
Fonte/Imprenta: |
[Vitória, ES?] : ASPLAN, 1968. |
Volume: |
v. 1 e v.2 |
Páginas: |
468 p. |
Série: |
(Estudos para o desenvolvimento econômico do Estado do Espírito Santo). |
Idioma: |
Português |
Conteúdo: |
A caracterização do Plano de Diversificação e Desenvolvimento Agrícola do Estado do Espírito Santo, é feita através de seus objetivos globais e da determinação das estratégias consideradas para defini-los e para alcançar a sua consecução... |
Palavras-Chave: |
Café; Comercialização; Erradicação; Espírito Santo (Estado); Mercado; Solo. |
Thesagro: |
Desenvolvimento rural; Economia agrícola. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01114nam a2200229 a 4500 001 1010510 005 2017-08-16 008 1968 bl uuuu 00u1 u #d 100 1 $aESPIRITO SANTO (Estado). Governador, 1967-1971 (Dias Lopes). 245 $aPlano de diversificação e desenvolvimento agrícola do Estado do Espírito Santo$banálise das consequências da erradicação do café e elaboração de programa de diversificação agrícola. 260 $a[Vitória, ES?] : ASPLAN$c1968 300 $a468 p. v. 1 e v.2 490 $a(Estudos para o desenvolvimento econômico do Estado do Espírito Santo).$vv. 1 e v.2 520 $aA caracterização do Plano de Diversificação e Desenvolvimento Agrícola do Estado do Espírito Santo, é feita através de seus objetivos globais e da determinação das estratégias consideradas para defini-los e para alcançar a sua consecução... 650 $aDesenvolvimento rural 650 $aEconomia agrícola 653 $aCafé 653 $aComercialização 653 $aErradicação 653 $aEspírito Santo (Estado) 653 $aMercado 653 $aSolo
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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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