Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul

Detalhes bibliográficos
Autor(a) principal: Radons, Sidinei Zwick
Data de Publicação: 2012
Tipo de documento: Tese
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/3211
Resumo: Diseases and environment are closely related, especially with regard to air temperature and relative humidity. The weather data tend to follow a daily pattern of temporal variation, which derives mainly from the daily variation of the surface radiation balance. Based on this, this study aimed to make a qualitative and quantitative description of the database of the Automatic Meteorological Station of the Instituto Nacional de Meteorologia (INMET) in Santa Maria, RS, determine the hours of greatest frequency of occurrence of daily extreme air temperatures in Santa Maria, develop models to estimate hourly values of air temperature (T) and relative humidity (RH), based on values measured in "UTC standard times" and on the daily minimum air temperature and to determine the risk of fungal diseases occurrence during the developmental cycle of potato in different planting dates, using the Blitecast forecasting system. Models were fitted to estimate air T and partial vapor pressure of water at different times of the day. RH was indirectly obtained from partial vapor pressure of water and saturation vapor pressure, calculated from estimated T values. The database of Principal Climatological Station of Santa Maria was transformed to an hourly estimated T and RH database and the Blitecast's calculated severity values (CSV) were obtained for 14 planting dates in 43 years. The automatic weather station of Santa Maria, RS, belonging to INMET, shows 90.1% of the days of flawless data records in 10 years, from 2002 to 2011. The minimum daily air temperature in Santa Maria occurs more frequently at 09AM UTC, corresponding to 6AM on local official time, from September to February. From March through August, this time is delayed, and its occurrence to be more frequent at 10 h UTC. The precision of the estimates ranged from 0.7 ºC to 1.5 ºC, with average deviation of 0.65 °C for T and 0.7 % to 1.2 %, with average deviation of up to 4% for RH depending on the time. Potato crops during the Fall growing season require on average 54% more fungicide applications compared to the Spring season. In the Spring growing season the most probable number of sprayings ranged from two to four and from six to seven in the Fall growing season. Potato crops planted in August and March were demanded a lower economic, ecological and farmer health cost in crop protection against late blight than earlier crops (July and February).
id UFSM_624d6c2c5fec98a546e58c99f2df76b9
oai_identifier_str oai:repositorio.ufsm.br:1/3211
network_acronym_str UFSM
network_name_str Manancial - Repositório Digital da UFSM
repository_id_str
spelling Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do SulNumerical analysis of climatic risk of late blight occurrence in potato crop in the central region of Rio Grande do SulSistemas de alertaSolanum tuberosum LMolhamento foliarEstimativa de dados meteorológicos horáriosProbabilidade de pulverizações de fungicidaForecast systemSolanum tuberosum LLeaf wetnessHourly meteorological data estimationFungicide sprays probabilityCNPQ::CIENCIAS AGRARIAS::AGRONOMIADiseases and environment are closely related, especially with regard to air temperature and relative humidity. The weather data tend to follow a daily pattern of temporal variation, which derives mainly from the daily variation of the surface radiation balance. Based on this, this study aimed to make a qualitative and quantitative description of the database of the Automatic Meteorological Station of the Instituto Nacional de Meteorologia (INMET) in Santa Maria, RS, determine the hours of greatest frequency of occurrence of daily extreme air temperatures in Santa Maria, develop models to estimate hourly values of air temperature (T) and relative humidity (RH), based on values measured in "UTC standard times" and on the daily minimum air temperature and to determine the risk of fungal diseases occurrence during the developmental cycle of potato in different planting dates, using the Blitecast forecasting system. Models were fitted to estimate air T and partial vapor pressure of water at different times of the day. RH was indirectly obtained from partial vapor pressure of water and saturation vapor pressure, calculated from estimated T values. The database of Principal Climatological Station of Santa Maria was transformed to an hourly estimated T and RH database and the Blitecast's calculated severity values (CSV) were obtained for 14 planting dates in 43 years. The automatic weather station of Santa Maria, RS, belonging to INMET, shows 90.1% of the days of flawless data records in 10 years, from 2002 to 2011. The minimum daily air temperature in Santa Maria occurs more frequently at 09AM UTC, corresponding to 6AM on local official time, from September to February. From March through August, this time is delayed, and its occurrence to be more frequent at 10 h UTC. The precision of the estimates ranged from 0.7 ºC to 1.5 ºC, with average deviation of 0.65 °C for T and 0.7 % to 1.2 %, with average deviation of up to 4% for RH depending on the time. Potato crops during the Fall growing season require on average 54% more fungicide applications compared to the Spring season. In the Spring growing season the most probable number of sprayings ranged from two to four and from six to seven in the Fall growing season. Potato crops planted in August and March were demanded a lower economic, ecological and farmer health cost in crop protection against late blight than earlier crops (July and February).Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDoenças e ambiente estão intimamente relacionados, especialmente no que se refere à temperatura e umidade relativa do ar. Os elementos meteorológicos tendem a seguir um padrão de variação temporal diária, que deriva principalmente da variação diária do balanço de radiação da superfície. Com base nisso, o objetivo desse trabalho foi descrever qualitativa e quantitativamente do banco de dados da Estação Meteorológica Automática do Instituto Nacional de Meteorologia de Santa Maria (INMET), determinar os horários de maior frequência de ocorrência das temperaturas extremas diárias do ar em Santa Maria, desenvolver modelos para estimativa dos valores horários de temperatura (T) e umidade relativa do ar (UR) e determinar o risco de ocorrência de requeima no ciclo de desenvolvimento da batata, em diferentes datas de plantio. Foram ajustados modelos analíticos para estimativa da T e da pressão parcial de vapor no ar nos diferentes horários do dia. A UR foi obtida indiretamente, com base nos valores de pressão parcial de vapor no ar estimados e nos valores de pressão de saturação de vapor no ar, calculados com base na T estimada. O banco de dados da Estação Climatológica Principal de Santa Maria foi transformado em um banco de dados horários estimados de T e UR e foram obtidos os valores de severidade calculada (VSC) pelo sistema Blitecast em 14 datas de plantio da batata em 43 anos agrícolas. A estação meteorológica automática de Santa Maria, RS, pertencente ao INMET, apresenta 90,1% dos dias sem falhas de registros de dados em 10 anos, de 2002 a 2011. A temperatura mínima diária do ar em Santa Maria ocorreu com maior frequência às 09 h UTC, correspondendo às 06 h no horário oficial local, nos meses de setembro a fevereiro. De março até agosto, esse horário é atrasado, sendo a sua ocorrência mais frequente às 10 h UTC. A precisão das estimativas variou de 0,7 oC a 1,5 oC, com desvio médio de até 0,65oC para T do ar e de 0,7 % a 1,2 %, com desvio médio de até 4 %, para UR, dependendo do horário. Cultivos de batata no período de safrinha necessitam, em média, de um número 54 % maior de aplicações de fungicida em relação ao período de safra. Na safra o número mais provável de pulverizações oscila entre duas e quatro e na safrinha entre seis e sete. Plantios de batata realizados em agosto e em março exigiram um menor custo econômico, ecológico e de saúde do produtor na proteção da cultura contra a requeima do que plantios mais precoces (julho e fevereiro).Universidade Federal de Santa MariaBRAgronomiaUFSMPrograma de Pós-Graduação em AgronomiaHeldwein, Arno Bernardohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788078U3Alberto, Cleber Maushttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4236721E6Trentin, Gustavohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4773687T4Streck, Lucianohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794800T6Radons, Sidinei Zwick2017-05-162017-05-162012-08-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdfRADONS, Sidinei Zwick. Numerical analysis of climatic risk of late blight occurrence in potato crop in the central region of Rio Grande do Sul. 2012. 102 f. Tese (Doutorado em Agronomia) - Universidade Federal de Santa Maria, Santa Maria, 2012.http://repositorio.ufsm.br/handle/1/3211porinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2017-07-25T13:52:59Zoai:repositorio.ufsm.br:1/3211Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2017-07-25T13:52:59Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul
Numerical analysis of climatic risk of late blight occurrence in potato crop in the central region of Rio Grande do Sul
title Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul
spellingShingle Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul
Radons, Sidinei Zwick
Sistemas de alerta
Solanum tuberosum L
Molhamento foliar
Estimativa de dados meteorológicos horários
Probabilidade de pulverizações de fungicida
Forecast system
Solanum tuberosum L
Leaf wetness
Hourly meteorological data estimation
Fungicide sprays probability
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul
title_full Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul
title_fullStr Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul
title_full_unstemmed Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul
title_sort Análise numérica de risco climático de ocorrência de requeima na cultura da batata na região central do Rio Grande do Sul
author Radons, Sidinei Zwick
author_facet Radons, Sidinei Zwick
author_role author
dc.contributor.none.fl_str_mv Heldwein, Arno Bernardo
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788078U3
Alberto, Cleber Maus
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4236721E6
Trentin, Gustavo
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4773687T4
Streck, Luciano
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794800T6
dc.contributor.author.fl_str_mv Radons, Sidinei Zwick
dc.subject.por.fl_str_mv Sistemas de alerta
Solanum tuberosum L
Molhamento foliar
Estimativa de dados meteorológicos horários
Probabilidade de pulverizações de fungicida
Forecast system
Solanum tuberosum L
Leaf wetness
Hourly meteorological data estimation
Fungicide sprays probability
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
topic Sistemas de alerta
Solanum tuberosum L
Molhamento foliar
Estimativa de dados meteorológicos horários
Probabilidade de pulverizações de fungicida
Forecast system
Solanum tuberosum L
Leaf wetness
Hourly meteorological data estimation
Fungicide sprays probability
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description Diseases and environment are closely related, especially with regard to air temperature and relative humidity. The weather data tend to follow a daily pattern of temporal variation, which derives mainly from the daily variation of the surface radiation balance. Based on this, this study aimed to make a qualitative and quantitative description of the database of the Automatic Meteorological Station of the Instituto Nacional de Meteorologia (INMET) in Santa Maria, RS, determine the hours of greatest frequency of occurrence of daily extreme air temperatures in Santa Maria, develop models to estimate hourly values of air temperature (T) and relative humidity (RH), based on values measured in "UTC standard times" and on the daily minimum air temperature and to determine the risk of fungal diseases occurrence during the developmental cycle of potato in different planting dates, using the Blitecast forecasting system. Models were fitted to estimate air T and partial vapor pressure of water at different times of the day. RH was indirectly obtained from partial vapor pressure of water and saturation vapor pressure, calculated from estimated T values. The database of Principal Climatological Station of Santa Maria was transformed to an hourly estimated T and RH database and the Blitecast's calculated severity values (CSV) were obtained for 14 planting dates in 43 years. The automatic weather station of Santa Maria, RS, belonging to INMET, shows 90.1% of the days of flawless data records in 10 years, from 2002 to 2011. The minimum daily air temperature in Santa Maria occurs more frequently at 09AM UTC, corresponding to 6AM on local official time, from September to February. From March through August, this time is delayed, and its occurrence to be more frequent at 10 h UTC. The precision of the estimates ranged from 0.7 ºC to 1.5 ºC, with average deviation of 0.65 °C for T and 0.7 % to 1.2 %, with average deviation of up to 4% for RH depending on the time. Potato crops during the Fall growing season require on average 54% more fungicide applications compared to the Spring season. In the Spring growing season the most probable number of sprayings ranged from two to four and from six to seven in the Fall growing season. Potato crops planted in August and March were demanded a lower economic, ecological and farmer health cost in crop protection against late blight than earlier crops (July and February).
publishDate 2012
dc.date.none.fl_str_mv 2012-08-10
2017-05-16
2017-05-16
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv RADONS, Sidinei Zwick. Numerical analysis of climatic risk of late blight occurrence in potato crop in the central region of Rio Grande do Sul. 2012. 102 f. Tese (Doutorado em Agronomia) - Universidade Federal de Santa Maria, Santa Maria, 2012.
http://repositorio.ufsm.br/handle/1/3211
identifier_str_mv RADONS, Sidinei Zwick. Numerical analysis of climatic risk of late blight occurrence in potato crop in the central region of Rio Grande do Sul. 2012. 102 f. Tese (Doutorado em Agronomia) - Universidade Federal de Santa Maria, Santa Maria, 2012.
url http://repositorio.ufsm.br/handle/1/3211
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
_version_ 1805922112030900224