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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
17/08/2022 |
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Data da última atualização: |
05/09/2022 |
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Autoria: |
SANTOS, A. da S. dos; CURADO, F. F.; SILVA, E. D. da; PETERSEN, P. F.; LONDRES, F. |
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Afiliação: |
Amaury da Silva dos Santos, Engenheiro Agrônomo, pesquisador EMBRAPA; Fernando Fleury Curado, Engenheiro Agrônomo, Pesquisador EMBRAPA; Emanuel Dias da Silva, Engenheiro Agrônomo; Paulo Frederico Petersen, Engenheiro Agrônomo; Flávia Londres, Engenheiro Agrônomo. |
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Título: |
Sementes da paixão : pesquisa e política de sementes no semiárido paraibano. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Brasília: EMBRAPA-DF, 2012. |
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Páginas: |
60p. |
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Descrição Física: |
Il. |
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Série: |
(Documentos: Embrapa Tabuleiros Costeiros, 179) |
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Idioma: |
Português |
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Notas: |
Inclui bibliografia. |
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Conteúdo: |
O evento foi realizado com os seguintes objetivos: socializar e debater resultados de pesquisas sobre avaliação do desempenho de sementes de milho e feijão nas condições da agricultura familiar camponesa no semiárido brasileiro; socializar e debater resultados de experiências de manejo comunitário da agrobiodiversidade e suas implicações para a pesquisa agroecológica; bem como elaborar diretrizes para continuidade de programas de pesquisa em agroecologia em conjunto com comunidades e organizações da agricultura familiar camponesa. O seminário contou com cerca de 180 pessoas, tendo a participação de agricultoras e agricultores, técnicos, pesquisadores, professores, estudantes e gestores públicos de diversas instituições. |
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Palavras-Chave: |
Desempenho; Paraíba. |
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Thesagro: |
Controle de Qualidade; Feijão; Milho; Pesquisa Agrícola; Produção de Sementes. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01524nam a2200277 a 4500
001 1024180
005 2022-09-05
008 2012 bl uuuu 00u1 u #d
100 1 $aSANTOS, A. da S. dos
245 $aSementes da paixão$bpesquisa e política de sementes no semiárido paraibano.
260 $aBrasília: EMBRAPA-DF$c2012
300 $a60p.$cIl.
490 $a(Documentos: Embrapa Tabuleiros Costeiros, 179)
500 $aInclui bibliografia.
520 $aO evento foi realizado com os seguintes objetivos: socializar e debater resultados de pesquisas sobre avaliação do desempenho de sementes de milho e feijão nas condições da agricultura familiar camponesa no semiárido brasileiro; socializar e debater resultados de experiências de manejo comunitário da agrobiodiversidade e suas implicações para a pesquisa agroecológica; bem como elaborar diretrizes para continuidade de programas de pesquisa em agroecologia em conjunto com comunidades e organizações da agricultura familiar camponesa. O seminário contou com cerca de 180 pessoas, tendo a participação de agricultoras e agricultores, técnicos, pesquisadores, professores, estudantes e gestores públicos de diversas instituições.
650 $aControle de Qualidade
650 $aFeijão
650 $aMilho
650 $aPesquisa Agrícola
650 $aProdução de Sementes
653 $aDesempenho
653 $aParaíba
700 1 $aCURADO, F. F.
700 1 $aSILVA, E. D. da
700 1 $aPETERSEN, P. F.
700 1 $aLONDRES, F.
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
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Fechar
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
05/02/2016 |
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Data da última atualização: |
02/07/2017 |
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Tipo da produção científica: |
Publicação em Anais de Congresso |
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Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; GARCIA, A. F. |
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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. |
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Título: |
Mixed model to multiple Harvest-Location trial applied to genomic prediction in Coffea canephora. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. não paginado. P1168. |
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Idioma: |
Português |
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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 |
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Palavras-Chave: |
Café Conilon; Coffea canephora; Genomic Selection. |
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Categoria do assunto: |
G Melhoramento Genético |
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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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