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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Ocidental; Embrapa Unidades Centrais. |
Data corrente: |
21/08/2003 |
Data da última atualização: |
05/12/2007 |
Autoria: |
MAKISHIMA, N.; MIRANDA, J. E. C. de (ed.). |
Título: |
Cultivo do tomate (Lycopersicon esculentum Mill.). |
Ano de publicação: |
1995 |
Fonte/Imprenta: |
Brasília, DF: EMBRAPA-CNPH, 1995. |
Páginas: |
22 p. |
Série: |
(EMBRAPA-CNPH. Instruções Técnicas do CNPHortaliças, 11). |
Idioma: |
Português |
Notas: |
Autores: DUSI, A.N.; LOPES, C.A.; OLIVEIRA, C.A.S.; MOREIRA, H.M.; MIRANDA, J.E.C. de; CHARCHAR, J.M.; SILVA, J.L. de O.; MAGALHAES, J.R.; CASTELO-BRANCO, M.; REIS, N.V.B.; MAKISHIMA, N.; FONTES, R.R.; PEREIRA, W.; HORINO, Y. |
Conteúdo: |
Clima. Época de plantio. Escolha da área. Solo. Cultivares. Sementes. Produção de mudas. Transplantio. Tratos culturais. Plantas daninhas. Doenças e métodos de controle. Tombamento, mela ou "Damping-off". Murcha-bacteriana ou murchadeira. Talo-oco. Cancro-bacteriano. Pinta-bacteriana. Mela ou requeima. Pinta-preta. Mancha-bacteriana. Septoriose. Mancha-de-estenfílio. Murcha-de-esclerotínia. Murcha-de-verticílio. Murcha-de-esclerócio. Métodos gerais de controle de doenças fúngicas e bacterianas. Viroses. Vira-cabeça do tomateiro. Mosaico-do-fumo. Mosaico-do-vírus Y. Amarelo-baixeiro e topo-amarelo. Controle de viroses. Nematóides. Pragas e métodos de controle. Traça-do-tomateiro. Broca-pequena. Tripes. Larva-minadora. Ácaro-do-bronzeamento. Pulgões. Deficiências minerais: sintomas, ocorrência e correção. Colheita e preparo para comercialização. Coeficientes técnicos. Cultivo sob plástico. Normas gerais sobre o uso de agrotóxicos. |
Palavras-Chave: |
Brasil; Crop systems; Cultivo; Cultural method; Lycospersicon esculentum; Tomato. |
Thesagro: |
Agrotóxico; Doença de Planta; Erva Daninha; Lycopersicon Esculentum; Muda; Nematóide; Praga de Planta; Produção; Semente; Sistema de Produção; Tomate; Variedade. |
Thesaurus Nal: |
Brazil; farming systems. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02213nam a2200397 a 4500 001 1116146 005 2007-12-05 008 1995 bl uuuu u0uu1 u #d 100 1 $aMAKISHIMA, N. 245 $aCultivo do tomate (Lycopersicon esculentum Mill.). 260 $aBrasília, DF: EMBRAPA-CNPH$c1995 300 $a22 p. 490 $a(EMBRAPA-CNPH. Instruções Técnicas do CNPHortaliças, 11). 500 $aAutores: DUSI, A.N.; LOPES, C.A.; OLIVEIRA, C.A.S.; MOREIRA, H.M.; MIRANDA, J.E.C. de; CHARCHAR, J.M.; SILVA, J.L. de O.; MAGALHAES, J.R.; CASTELO-BRANCO, M.; REIS, N.V.B.; MAKISHIMA, N.; FONTES, R.R.; PEREIRA, W.; HORINO, Y. 520 $aClima. Época de plantio. Escolha da área. Solo. Cultivares. Sementes. Produção de mudas. Transplantio. Tratos culturais. Plantas daninhas. Doenças e métodos de controle. Tombamento, mela ou "Damping-off". Murcha-bacteriana ou murchadeira. Talo-oco. Cancro-bacteriano. Pinta-bacteriana. Mela ou requeima. Pinta-preta. Mancha-bacteriana. Septoriose. Mancha-de-estenfílio. Murcha-de-esclerotínia. Murcha-de-verticílio. Murcha-de-esclerócio. Métodos gerais de controle de doenças fúngicas e bacterianas. Viroses. Vira-cabeça do tomateiro. Mosaico-do-fumo. Mosaico-do-vírus Y. Amarelo-baixeiro e topo-amarelo. Controle de viroses. Nematóides. Pragas e métodos de controle. Traça-do-tomateiro. Broca-pequena. Tripes. Larva-minadora. Ácaro-do-bronzeamento. Pulgões. Deficiências minerais: sintomas, ocorrência e correção. Colheita e preparo para comercialização. Coeficientes técnicos. Cultivo sob plástico. Normas gerais sobre o uso de agrotóxicos. 650 $aBrazil 650 $afarming systems 650 $aAgrotóxico 650 $aDoença de Planta 650 $aErva Daninha 650 $aLycopersicon Esculentum 650 $aMuda 650 $aNematóide 650 $aPraga de Planta 650 $aProdução 650 $aSemente 650 $aSistema de Produção 650 $aTomate 650 $aVariedade 653 $aBrasil 653 $aCrop systems 653 $aCultivo 653 $aCultural method 653 $aLycospersicon esculentum 653 $aTomato 700 1 $aMIRANDA, J. E. C. de
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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Registro Completo
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
07/12/2017 |
Data da última atualização: |
07/12/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F. |
Afiliação: |
LUIS FELIPE VENTORIM FERRÃO, DG/ESALQ; ROMÁRIO GAVA FERRÃO, INCAPER; MARIA AMELIA GAVA FERRAO, SAPC; AYMBIRE FRANCISCO A DA FONSECA, SAPC; ANTONIO AUGUSTO FRANCO GARCIA, DG/ESALQ. |
Título: |
A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Tree Genetics & Genomes, v. 13, n. 95, 2017. |
Idioma: |
Inglês |
Conteúdo: |
Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than traditional GBLUP. The results may be used as basis for additional studies into the genus Coffea and can be expanded for similar perennial crops. MenosGenomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than tr... Mostrar Tudo |
Palavras-Chave: |
GBLUP; Genotyping-by-sequencing; Multi-environment trials; Perennial crops. |
Thesaurus NAL: |
Marker-assisted selection. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/168435/1/A-mixed-model-to-multiple-harvest-location.pdf
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Marc: |
LEADER 02351naa a2200229 a 4500 001 2081803 005 2017-12-07 008 2017 bl uuuu u00u1 u #d 100 1 $aFERRÃO, L. F. V. 245 $aA mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora.$h[electronic resource] 260 $c2017 520 $aGenomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than traditional GBLUP. The results may be used as basis for additional studies into the genus Coffea and can be expanded for similar perennial crops. 650 $aMarker-assisted selection 653 $aGBLUP 653 $aGenotyping-by-sequencing 653 $aMulti-environment trials 653 $aPerennial crops 700 1 $aFERRÃO, R. G. 700 1 $aFERRAO, M. A. G. 700 1 $aFONSECA, A. F. A. da 700 1 $aGARCIA, A. A. F. 773 $tTree Genetics & Genomes$gv. 13, n. 95, 2017.
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Embrapa Café (CNPCa) |
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