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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido; Embrapa Territorial. |
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Data corrente: |
23/07/2014 |
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Data da última atualização: |
02/12/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, A. H. de C.; TONIETTO, J.; PEREIRA, G. E.; HERNANDEZ, F. B. T.; ANGELOTTI, F.; LOPES, H. L. |
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Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; JORGE TONIETTO, CNPUV; GIULIANO ELIAS PEREIRA, CNPUV; FRANCISLENE ANGELOTTI, CPATSA. |
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Título: |
Agro-climatic suitability delimitation for table and wine grape crops under irrigation conditions in Northeastern Brazil. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Acta Horticulturae, n. 1038, p. 277-286, 2014. |
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ISBN: |
0567-7572 |
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Idioma: |
Inglês
Português |
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Notas: |
Presented at the 7th International Symposium on Irrigation of Horticultural Crops. |
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Conteúdo: |
Long term weather data were used together with specific regression models involving crop coefficient (Kc), reference evapotranspiration (ET0), accumulated degree days (DDac) and precipitation (P), to develop a vineyard water indicator (VWI) for seedless table and wine grapes under different pruning periods in the Brazilian Northeast. The VWI thermo-hydrological indicator was applied together with average values of air temperature (T) for a growing season (GS) to classify the vineyard agroclimatic suitability. For table grapes, the seedless cv. ?Sugraone? used as a reference, it was observed that the region has no thermal limitation for commercial grape production. However, higher sugar contents in berries and yield would be obtained in the areas and pruning periods with higher TGS. In relation to wine grape, cv. ?Syrah? taking as a reference, it was shown that there are some thermal limitations for the tropical wine quality. This is depending on pruning dates, lower acidity and higherpotential alcohol and pH. In wines analyzed under conditions of larger TGS values, wines became unbalanced in terms of phenolic and aromatic composition. Considering the whole Brazilian Northeast region, for table grapes the best pruning periods is from July to September, while for wine grapes they are between April and June. The spatially presented analyses can subsidize vineyard water allocation criterions, when aiming at improvements of grape and wine water productivity in conditions of climate and land use changes. MenosLong term weather data were used together with specific regression models involving crop coefficient (Kc), reference evapotranspiration (ET0), accumulated degree days (DDac) and precipitation (P), to develop a vineyard water indicator (VWI) for seedless table and wine grapes under different pruning periods in the Brazilian Northeast. The VWI thermo-hydrological indicator was applied together with average values of air temperature (T) for a growing season (GS) to classify the vineyard agroclimatic suitability. For table grapes, the seedless cv. ?Sugraone? used as a reference, it was observed that the region has no thermal limitation for commercial grape production. However, higher sugar contents in berries and yield would be obtained in the areas and pruning periods with higher TGS. In relation to wine grape, cv. ?Syrah? taking as a reference, it was shown that there are some thermal limitations for the tropical wine quality. This is depending on pruning dates, lower acidity and higherpotential alcohol and pH. In wines analyzed under conditions of larger TGS values, wines became unbalanced in terms of phenolic and aromatic composition. Considering the whole Brazilian Northeast region, for table grapes the best pruning periods is from July to September, while for wine grapes they are between April and June. The spatially presented analyses can subsidize vineyard water allocation criterions, when aiming at improvements of grape and wine water productivity in conditions of clima... Mostrar Tudo |
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Palavras-Chave: |
Bioclimatic indices; Índices bioclimáticos; Temperatura do ar; Uva de mesa; Vinhedo. |
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Thesagro: |
Evapotranspiração; Irrigacao; Precipitação Pluvial; Uva; Vitis Vinifera. |
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Thesaurus Nal: |
Air temperature; Atmospheric precipitation; Evapotranspiration; Grapes; Irrigation; Vineyards. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02701naa a2200397 a 4500
001 2001235
005 2014-12-02
008 2014 bl uuuu u00u1 u #d
022 $a0567-7572
100 1 $aTEIXEIRA, A. H. de C.
245 $aAgro-climatic suitability delimitation for table and wine grape crops under irrigation conditions in Northeastern Brazil.
260 $c2014
500 $aPresented at the 7th International Symposium on Irrigation of Horticultural Crops.
520 $aLong term weather data were used together with specific regression models involving crop coefficient (Kc), reference evapotranspiration (ET0), accumulated degree days (DDac) and precipitation (P), to develop a vineyard water indicator (VWI) for seedless table and wine grapes under different pruning periods in the Brazilian Northeast. The VWI thermo-hydrological indicator was applied together with average values of air temperature (T) for a growing season (GS) to classify the vineyard agroclimatic suitability. For table grapes, the seedless cv. ?Sugraone? used as a reference, it was observed that the region has no thermal limitation for commercial grape production. However, higher sugar contents in berries and yield would be obtained in the areas and pruning periods with higher TGS. In relation to wine grape, cv. ?Syrah? taking as a reference, it was shown that there are some thermal limitations for the tropical wine quality. This is depending on pruning dates, lower acidity and higherpotential alcohol and pH. In wines analyzed under conditions of larger TGS values, wines became unbalanced in terms of phenolic and aromatic composition. Considering the whole Brazilian Northeast region, for table grapes the best pruning periods is from July to September, while for wine grapes they are between April and June. The spatially presented analyses can subsidize vineyard water allocation criterions, when aiming at improvements of grape and wine water productivity in conditions of climate and land use changes.
650 $aAir temperature
650 $aAtmospheric precipitation
650 $aEvapotranspiration
650 $aGrapes
650 $aIrrigation
650 $aVineyards
650 $aEvapotranspiração
650 $aIrrigacao
650 $aPrecipitação Pluvial
650 $aUva
650 $aVitis Vinifera
653 $aBioclimatic indices
653 $aÍndices bioclimáticos
653 $aTemperatura do ar
653 $aUva de mesa
653 $aVinhedo
700 1 $aTONIETTO, J.
700 1 $aPEREIRA, G. E.
700 1 $aHERNANDEZ, F. B. T.
700 1 $aANGELOTTI, F.
700 1 $aLOPES, H. L.
773 $tActa Horticulturae$gn. 1038, p. 277-286, 2014.
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Embrapa Territorial (CNPM) |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
11/12/2018 |
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Data da última atualização: |
08/07/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; GUBIANI, P. I.; OLIVEIRA, S. R. de M.; TEIXEIRA, W. G.; VIANA, J. H. M.; RIBEIRO, E.; TORNQUIST, C. G.; ANJOS, L. H. C. dos; SOUZA, J. J. E. L. de; OTTONI, M. V.; MEDEIROS, P. S. C. de; GRIS, D. J.; ROSIN, N. A.; BUENO, J. M. M.; SANTOS, H. G. dos; WEBER, E. J.; FLORES, C. A.; COSTA, E. M.; OLIVEIRA, R. P. de; FILIPPINI ALBA, J. M.; PEDROSO NETO, J. C.; PEDRON, F. de A.; CAVIGLIONE, J. H.; VALLADARES, G. S.; MIRANDA, C. S. S.; DEMATTÊ, J. A. M.; MARQUES JÚNIOR, J.; SIQUEIRA, D. S.; AQUINO, R. E. de; SILVERO, N. E. Q.; GENÚ, A. M.; BROETTO, T.; CANCIAN, L. C.; MIGUEL, P.; ZALAMENA, J.; DOTTO, A. C.; ALMEIDA, J. A. de; REICHERT.; CURCIO, G. R.; COLLIER, L. S.; CARVALHO JUNIOR, W. de; FONTANA, A.; OLIVEIRA, A. P. de; VOGELMANN, E. S.; MALLMANN, F. J. K.; VASQUES, G. de M.; LEPSCH, I. F.; FINK, J. R.; KER, J. C.; SILVA, L. S. da; FREITAS, P. L. de; BIELUCZYK, B.; TIECHER, T. |
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Afiliação: |
ALESSANDRO SAMUEL-ROSA, UFSM; RICARDO SIMÃO DINIZ DALMOLIN, UFSM; PAULO IVONIR GUBIANI, UFSM; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; WENCESLAU GERALDES TEIXEIRA, CNPS; JOAO HERBERT MOREIRA VIANA, CNPMS; ELOI RIBEIRO, ISRIC World Soil Information; CARLOS GUSTAVO TORNQUIST, UFRGS; LÚCIA HELENA CUNHA DOS ANJOS, UFRRJ; JOSÉ JOÃO LELIS LEAL DE SOUZA, UFRGN; MARTA VASCONCELOS OTTONI, Serviço Geológico do Brasil; PAULA SUÉLEN CORRÊA DE MEDEIROS, IBGE; DIEGO JOSÉ GRIS, UFSM; NÍCOLAS AUGUSTO ROSIN, UFSM; JEAN MICHEL MOURA BUENO, UFSM; HUMBERTO GONCALVES DOS SANTOS, CNPS; ELISEU JOSÉ WEBER, UFRGS; CARLOS ALBERTO FLORES, CPACT; ELIAS MENDES COSTA, UFRRJ; RONALDO PEREIRA DE OLIVEIRA, CNPS; JOSE MARIA FILIPPINI ALBA, CPACT; JOÃO CHRISÓSTOMO PEDROSO NETO, Epamig; FABRÍCIO DE ARAÚJO PEDRON, UFSM; JOÃO HENRIQUE CAVIGLIONE, Iapar; GUSTAVO SOUZA VALLADARES, UFPI; CARMEM SUEZE SILVA MIRANDA, Univasf; JOSÉ ALEXANDRE MELO DEMATTÊ, USP; JOSÉ MARQUES JÚNIOR, Unesp; DIEGO SILVA SIQUEIRA, Unesp; RENATO ELEOTERIO DE AQUINO, Unesp; NELIDA ELIZABET QUIÑONEZ SILVERO, Unesp; ALINE MARQUES GENÚ, UNICENTRO; TIAGO BROETTO, Catena Planejamento Territorial; LUCIANO CAMPOS CANCIAN, UFSM; PABLO MIGUEL, UFPel; JOVANI ZALAMENA, UFSC; ANDRÉ CARNIELETTO DOTTO, USP; JAIME ANTONIO DE ALMEIDA, Udesc; JOSÉ MIGUEL REICHERT, UFSM; GUSTAVO RIBAS CURCIO, CNPF; LEONARDO SANTOS COLLIER, UFG; WALDIR DE CARVALHO JUNIOR, CNPS; ADEMIR FONTANA, CNPS; ALINE PACOBAHYBA DE OLIVEIRA, CNPS; EDUARDO SALDANHA VOGELMANN, FURG; FÁBIO JOEL KOCHEM MALLMANN, Universidade Regional Integrada do Alto Uruguai e das Missões; GUSTAVO DE MATTOS VASQUES, CNPS; IGO FERNANDO LEPSCH, USP; JESSÉ RODRIGO FINK, IFPR; JOÃO CARLOS KER, UFV; LEANDRO SOUZA DA SILVA, UFSM; PEDRO LUIZ DE FREITAS, CNPS; WANDERLEI BIELUCZYK, USP; TALES TIECHER, UFRGS. |
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Título: |
Bringing together Brazilian soil scientists to share soil data. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2018. v. 1, p. 63-64. WCSS 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
In the Amazon region, types of soil known as Archaeological Black Lands (ABL) present anthropic horizon A and are associated with prolonged human occupation by indigenous societies from the pre-Columbian period, where chemical and physical attributes have better quality than other types of soil in the Amazon, setting a large organic carbon reservoir. However, the conversion of these natural ecosystems into cultivated environments make emerge changes in soil carbon dynamics, often leading to a decline in soil organic carbon content. Therefore, our aim was to use data mining techniques to generate predictive models for the effect of soil use on carbon stock in natural and transformed areas of Archaeological Black Lands. We carried out our experiment in Manicoré and Apuí, Amazonas State, Brazil. After field data collection and laboratory analysis, we obtained a set of data consisting of 21 attributes, 20 predictive attributes consisting of 13 soil physical attributes, 6 soil chemical attributes, 1 soil use related attribute, and 1 response variable, referring to soil carbon stock (SCS), which is the classification target. Due to the large number of attributes, we performed a selection procedure to eliminate attributes of low correlation to the response variable. For data classification, we used the binary induction technique of the decision tree through software Weka 3.8. The results obtained showed that for the depth of 0.00-0.05 and 0.05-0.10 m, the best selected subset was determined using the Wrapper method for attribute selection. In the depth of 0.00-0.05 m, we generated a model of 79% accuracy containing only six rules, including, as the most important classification attribute was soil use. For the depth of 0.05-0.10 m, we generated an eight-rule decision tree of 74% accuracy including sand as the most important attribute. In this context, we highlight the Wrapper method efficiency to select subsets of predictive attributes, capable to generate more understandable decision trees, using a smaller number of attributes in the classification process, making it faster and with a lower computational cost. In addition, data mining techniques were efficient at providing predictive models capable to assist the decision-making process on possible management practices with the potential to conserve or increase soil carbon stock in archeological black lands. MenosIn the Amazon region, types of soil known as Archaeological Black Lands (ABL) present anthropic horizon A and are associated with prolonged human occupation by indigenous societies from the pre-Columbian period, where chemical and physical attributes have better quality than other types of soil in the Amazon, setting a large organic carbon reservoir. However, the conversion of these natural ecosystems into cultivated environments make emerge changes in soil carbon dynamics, often leading to a decline in soil organic carbon content. Therefore, our aim was to use data mining techniques to generate predictive models for the effect of soil use on carbon stock in natural and transformed areas of Archaeological Black Lands. We carried out our experiment in Manicoré and Apuí, Amazonas State, Brazil. After field data collection and laboratory analysis, we obtained a set of data consisting of 21 attributes, 20 predictive attributes consisting of 13 soil physical attributes, 6 soil chemical attributes, 1 soil use related attribute, and 1 response variable, referring to soil carbon stock (SCS), which is the classification target. Due to the large number of attributes, we performed a selection procedure to eliminate attributes of low correlation to the response variable. For data classification, we used the binary induction technique of the decision tree through software Weka 3.8. The results obtained showed that for the depth of 0.00-0.05 and 0.05-0.10 m, the best selected subset was d... Mostrar Tudo |
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Palavras-Chave: |
Anthropic soils; Árvore de decisão; Data mining techniques; Decision tree; Estoque de carbono; Mineração de dados; Soil management system. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 04807nam a2200829 a 4500
001 2101195
005 2019-07-08
008 2018 bl uuuu u01u1 u #d
100 1 $aSAMUEL-ROSA, A.
245 $aBringing together Brazilian soil scientists to share soil data.$h[electronic resource]
260 $aIn: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2018. v. 1, p. 63-64. WCSS 2018.$c2018
520 $aIn the Amazon region, types of soil known as Archaeological Black Lands (ABL) present anthropic horizon A and are associated with prolonged human occupation by indigenous societies from the pre-Columbian period, where chemical and physical attributes have better quality than other types of soil in the Amazon, setting a large organic carbon reservoir. However, the conversion of these natural ecosystems into cultivated environments make emerge changes in soil carbon dynamics, often leading to a decline in soil organic carbon content. Therefore, our aim was to use data mining techniques to generate predictive models for the effect of soil use on carbon stock in natural and transformed areas of Archaeological Black Lands. We carried out our experiment in Manicoré and Apuí, Amazonas State, Brazil. After field data collection and laboratory analysis, we obtained a set of data consisting of 21 attributes, 20 predictive attributes consisting of 13 soil physical attributes, 6 soil chemical attributes, 1 soil use related attribute, and 1 response variable, referring to soil carbon stock (SCS), which is the classification target. Due to the large number of attributes, we performed a selection procedure to eliminate attributes of low correlation to the response variable. For data classification, we used the binary induction technique of the decision tree through software Weka 3.8. The results obtained showed that for the depth of 0.00-0.05 and 0.05-0.10 m, the best selected subset was determined using the Wrapper method for attribute selection. In the depth of 0.00-0.05 m, we generated a model of 79% accuracy containing only six rules, including, as the most important classification attribute was soil use. For the depth of 0.05-0.10 m, we generated an eight-rule decision tree of 74% accuracy including sand as the most important attribute. In this context, we highlight the Wrapper method efficiency to select subsets of predictive attributes, capable to generate more understandable decision trees, using a smaller number of attributes in the classification process, making it faster and with a lower computational cost. In addition, data mining techniques were efficient at providing predictive models capable to assist the decision-making process on possible management practices with the potential to conserve or increase soil carbon stock in archeological black lands.
653 $aAnthropic soils
653 $aÁrvore de decisão
653 $aData mining techniques
653 $aDecision tree
653 $aEstoque de carbono
653 $aMineração de dados
653 $aSoil management system
700 1 $aDALMOLIN, R. S. D.
700 1 $aGUBIANI, P. I.
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aTEIXEIRA, W. G.
700 1 $aVIANA, J. H. M.
700 1 $aRIBEIRO, E.
700 1 $aTORNQUIST, C. G.
700 1 $aANJOS, L. H. C. dos
700 1 $aSOUZA, J. J. E. L. de
700 1 $aOTTONI, M. V.
700 1 $aMEDEIROS, P. S. C. de
700 1 $aGRIS, D. J.
700 1 $aROSIN, N. A.
700 1 $aBUENO, J. M. M.
700 1 $aSANTOS, H. G. dos
700 1 $aWEBER, E. J.
700 1 $aFLORES, C. A.
700 1 $aCOSTA, E. M.
700 1 $aOLIVEIRA, R. P. de
700 1 $aFILIPPINI ALBA, J. M.
700 1 $aPEDROSO NETO, J. C.
700 1 $aPEDRON, F. de A.
700 1 $aCAVIGLIONE, J. H.
700 1 $aVALLADARES, G. S.
700 1 $aMIRANDA, C. S. S.
700 1 $aDEMATTÊ, J. A. M.
700 1 $aMARQUES JÚNIOR, J.
700 1 $aSIQUEIRA, D. S.
700 1 $aAQUINO, R. E. de
700 1 $aSILVERO, N. E. Q.
700 1 $aGENÚ, A. M.
700 1 $aBROETTO, T.
700 1 $aCANCIAN, L. C.
700 1 $aMIGUEL, P.
700 1 $aZALAMENA, J.
700 1 $aDOTTO, A. C.
700 1 $aALMEIDA, J. A. de
700 1 $aREICHERT.
700 1 $aCURCIO, G. R.
700 1 $aCOLLIER, L. S.
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aFONTANA, A.
700 1 $aOLIVEIRA, A. P. de
700 1 $aVOGELMANN, E. S.
700 1 $aMALLMANN, F. J. K.
700 1 $aVASQUES, G. de M.
700 1 $aLEPSCH, I. F.
700 1 $aFINK, J. R.
700 1 $aKER, J. C.
700 1 $aSILVA, L. S. da
700 1 $aFREITAS, P. L. de
700 1 $aBIELUCZYK, B.
700 1 $aTIECHER, T.
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