Large‑scale water balance indicators for different pruning dates of tropical wine grape
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/21535 |
Resumo: | The objective of this work was to develop and apply water balance indicators to be scaled up in the wine grape (Vitis vinifera) growing regions of the municipalities of Petrolina and Juazeiro, in the states of Pernambuco and Bahia, respectively, Brazil, simulating different pruning dates along the year. Previous energy balance measurements were used to relate the crop coefficient (Kc) with the accumulated degree‑days (DDac). This model was applied to scale up the water balance indicators during the growing seasons. When irrigation water was available, the best pruning periods were from May to July, due to the better natural thermal and hidrological conditions. More care should be taken for pruning done in other periods of the year, regarding the effect of increasing thermal conditions of wine quality. The water balance indicators, both successfully developed and applied, allow large‑scale analyses of the thermohydrological conditions for wine grape production under the semiarid conditions of the Brazilian Northeast. |
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Large‑scale water balance indicators for different pruning dates of tropical wine grapeIndicadores de balanço hídrico em larga escala para diferentes datas de poda da videira para vinho tropicalVitis vinifera; crop coefficient; evapotranspiration; vineyard adaptation; water resourcesVitis vinifera; coeficiente de cultura; evapotranspiração; adaptação de parreirais; recursos hídricosThe objective of this work was to develop and apply water balance indicators to be scaled up in the wine grape (Vitis vinifera) growing regions of the municipalities of Petrolina and Juazeiro, in the states of Pernambuco and Bahia, respectively, Brazil, simulating different pruning dates along the year. Previous energy balance measurements were used to relate the crop coefficient (Kc) with the accumulated degree‑days (DDac). This model was applied to scale up the water balance indicators during the growing seasons. When irrigation water was available, the best pruning periods were from May to July, due to the better natural thermal and hidrological conditions. More care should be taken for pruning done in other periods of the year, regarding the effect of increasing thermal conditions of wine quality. The water balance indicators, both successfully developed and applied, allow large‑scale analyses of the thermohydrological conditions for wine grape production under the semiarid conditions of the Brazilian Northeast.O objetivo deste trabalho foi elaborar e aplicar indicadores de balanço hídrico para a suas extrapolações nas regiões de cultivo de uvas (Vitis vinifera) para vinho nos municípios de Petrolina e Juazeiro, nos estados de Pernambuco e da Bahia, respectivamente, tendo-se simulado diferentes épocas de poda ao longo do ano. Medições prévias de balanço de energia foram usadas para relacionar o coeficiente de cultura (Kc) com os graus‑dias acumulados (GDac). Este modelo foi aplicado para extrapolação dos indicadores de balanço hídrico, durante os ciclos produtivos. Quando houve disponibilidade de água para irrigação, os melhores períodos de poda foram de maio a julho, por causa das melhores condições naturais térmicas e hídricas. Maiores cuidados devem ser tomados para podas realizadas em outros períodos do ano, com relação aos efeitos das temperaturas elevadas na qualidade do vinho. Os indicadores de balanço hídrico, desenvolvidos e aplicados com sucesso, permitiram análises, em larga escala, das condições termohídricas para produção de uvas para vinho, sob as condições semiáridas do Nordeste brasileiro.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico.CNPq, Conselho Nacional de Desenvolvimento Científico e TecnológicoTeixeira, Antônio Heriberto de CastroTonietto, JorgeLeivas, Janice Freitas2016-09-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/21535Pesquisa Agropecuaria Brasileira; v.51, n.7, jul. 2016; 849-857Pesquisa Agropecuária Brasileira; v.51, n.7, jul. 2016; 849-8571678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/21535/13384https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/21535/13658Direitos autorais 2016 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2016-09-26T18:50:57Zoai:ojs.seer.sct.embrapa.br:article/21535Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2016-09-26T18:50:57Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Large‑scale water balance indicators for different pruning dates of tropical wine grape Indicadores de balanço hídrico em larga escala para diferentes datas de poda da videira para vinho tropical |
title |
Large‑scale water balance indicators for different pruning dates of tropical wine grape |
spellingShingle |
Large‑scale water balance indicators for different pruning dates of tropical wine grape Teixeira, Antônio Heriberto de Castro Vitis vinifera; crop coefficient; evapotranspiration; vineyard adaptation; water resources Vitis vinifera; coeficiente de cultura; evapotranspiração; adaptação de parreirais; recursos hídricos |
title_short |
Large‑scale water balance indicators for different pruning dates of tropical wine grape |
title_full |
Large‑scale water balance indicators for different pruning dates of tropical wine grape |
title_fullStr |
Large‑scale water balance indicators for different pruning dates of tropical wine grape |
title_full_unstemmed |
Large‑scale water balance indicators for different pruning dates of tropical wine grape |
title_sort |
Large‑scale water balance indicators for different pruning dates of tropical wine grape |
author |
Teixeira, Antônio Heriberto de Castro |
author_facet |
Teixeira, Antônio Heriberto de Castro Tonietto, Jorge Leivas, Janice Freitas |
author_role |
author |
author2 |
Tonietto, Jorge Leivas, Janice Freitas |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico. CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico |
dc.contributor.author.fl_str_mv |
Teixeira, Antônio Heriberto de Castro Tonietto, Jorge Leivas, Janice Freitas |
dc.subject.por.fl_str_mv |
Vitis vinifera; crop coefficient; evapotranspiration; vineyard adaptation; water resources Vitis vinifera; coeficiente de cultura; evapotranspiração; adaptação de parreirais; recursos hídricos |
topic |
Vitis vinifera; crop coefficient; evapotranspiration; vineyard adaptation; water resources Vitis vinifera; coeficiente de cultura; evapotranspiração; adaptação de parreirais; recursos hídricos |
description |
The objective of this work was to develop and apply water balance indicators to be scaled up in the wine grape (Vitis vinifera) growing regions of the municipalities of Petrolina and Juazeiro, in the states of Pernambuco and Bahia, respectively, Brazil, simulating different pruning dates along the year. Previous energy balance measurements were used to relate the crop coefficient (Kc) with the accumulated degree‑days (DDac). This model was applied to scale up the water balance indicators during the growing seasons. When irrigation water was available, the best pruning periods were from May to July, due to the better natural thermal and hidrological conditions. More care should be taken for pruning done in other periods of the year, regarding the effect of increasing thermal conditions of wine quality. The water balance indicators, both successfully developed and applied, allow large‑scale analyses of the thermohydrological conditions for wine grape production under the semiarid conditions of the Brazilian Northeast. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-09-26 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/21535 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/21535 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/21535/13384 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/21535/13658 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2016 Pesquisa Agropecuária Brasileira info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2016 Pesquisa Agropecuária Brasileira |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.51, n.7, jul. 2016; 849-857 Pesquisa Agropecuária Brasileira; v.51, n.7, jul. 2016; 849-857 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416715732779008 |