Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz

Detalhes bibliográficos
Autor(a) principal: Silva, Michel Rocha da
Data de Publicação: 2020
Tipo de documento: Tese
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/23554
Resumo: The objectives of this thesis were (i) to adapt a methodology for rice yield forecast in Rio Grande do Sul – Brazil; (ii). to use hourly hydro-thermal time (HTT) to assess interannual and regional weather variability for rice blast risk in southern Brazil. For the objective (i) it was used Morell’s et al. (2016) yield forecast methodology, adapted for rice using SimulArroz v1.1 rice model, actual and historic weather data. Six different scenarios considering different levels of field information were used, changing number of sowing dates (1 to 4), number of cycle length or cultivars (1 to 3) during four growing seasons (2015 to 2018). Root mean square error (RMSE) comparing actual yield versus simulated yield for Rio Grande do Sul ranged from 618.3 kg ha-1 (8%) to 1024.8 kg ha-1 (13%). The recommended scenario for rice yield forecast was Complex 1 that used 3 sowing dates and the 3 most representative rice cultivars (C1), presenting good forecast predictability (RMSE = 618.3 kg ha-1 or RMSE (%) = 8). For objective (ii) a large data collected from multiple locations and years in southern Brazil were used. For each year x site x cultivar combination, HTT was calculated using hourly data of air temperature, relative humidity and wind speed collected from nearby weather station. The HTT was correlated with blast onset to define a threshold for blast onset. The seasonal HTT between years x sites ranged from 5.1oC h-1 year-1 to 725.3oC h-1 year-1. Blast risk started after HTT of 33.6oC h-1, 66.8oC h-1 and 75.6oC h-1 from Jun 1st until rice emergence (EM) and after HTT of 12.5oC h-1, 55.3oC h-1 and 121.8oC h-1 after EM for susceptible, medium-resistant and resistant cultivar, respectively. Based on the results, it would possible to improve fungicide management using the HTT approach over the calendarization approach, once we would be able to discriminate the cultivar and year influence, the two most important factors on rice blast epidemics.
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spelling 2022-01-17T17:35:56Z2022-01-17T17:35:56Z2020-05-25http://repositorio.ufsm.br/handle/1/23554The objectives of this thesis were (i) to adapt a methodology for rice yield forecast in Rio Grande do Sul – Brazil; (ii). to use hourly hydro-thermal time (HTT) to assess interannual and regional weather variability for rice blast risk in southern Brazil. For the objective (i) it was used Morell’s et al. (2016) yield forecast methodology, adapted for rice using SimulArroz v1.1 rice model, actual and historic weather data. Six different scenarios considering different levels of field information were used, changing number of sowing dates (1 to 4), number of cycle length or cultivars (1 to 3) during four growing seasons (2015 to 2018). Root mean square error (RMSE) comparing actual yield versus simulated yield for Rio Grande do Sul ranged from 618.3 kg ha-1 (8%) to 1024.8 kg ha-1 (13%). The recommended scenario for rice yield forecast was Complex 1 that used 3 sowing dates and the 3 most representative rice cultivars (C1), presenting good forecast predictability (RMSE = 618.3 kg ha-1 or RMSE (%) = 8). For objective (ii) a large data collected from multiple locations and years in southern Brazil were used. For each year x site x cultivar combination, HTT was calculated using hourly data of air temperature, relative humidity and wind speed collected from nearby weather station. The HTT was correlated with blast onset to define a threshold for blast onset. The seasonal HTT between years x sites ranged from 5.1oC h-1 year-1 to 725.3oC h-1 year-1. Blast risk started after HTT of 33.6oC h-1, 66.8oC h-1 and 75.6oC h-1 from Jun 1st until rice emergence (EM) and after HTT of 12.5oC h-1, 55.3oC h-1 and 121.8oC h-1 after EM for susceptible, medium-resistant and resistant cultivar, respectively. Based on the results, it would possible to improve fungicide management using the HTT approach over the calendarization approach, once we would be able to discriminate the cultivar and year influence, the two most important factors on rice blast epidemics.Os objetivos desta tese foram (i) adaptar uma metodologia de previsão de safra para arroz no Rio Grande do Sul – Brasil; (ii). Usar tempo hidrotérmico horário (HTT) para avaliar a variabilidade climática interanual e regional para o risco de ocorrência de brusone em arroz irrigado no Sul do Brasil. Para o objetivo (i) foi utilizada a metodologia de previsão de safra de Morell et al. (2016), e adaptada para arroz irrigado utilizando o modelo SimulArroz v1.1, dados meteorológicos atuais e históricos. Seis cenários foram utilizados considerando níveis de informação, alterando o número de datas de semeadura (1 a 4), número de ciclos e cultivares por safra (1 a 3) durante quatro estações de crescimento (2015 a 2018). A raiz quadrada média do erro (RQME) entre produtividade atual versus produtividade simulada para o Rio Grande do Sul variou de 618.3 kg ha-1 (8%) a 1024.8 kg ha-1 (13%). O cenário recomendado para realizar a previsão de safra de arroz foi o complexo 1, que utilizou 3 datas de semeadura e as 3 cultivares mais representativas em área, apresentando boa previsibilidade de safra (RQME = 618.3 kg ha-1 ou RQME (%) = 8). Para o objetivo (ii) um grande volume de dados foi coletado em múltiplos locais e anos no Sul do Brasil. Para cada combinação de ano x local x cultivar, o tempo hidrotérmico horário foi calculado utilizando temperatura do ar, umidade relativa do ar e velocidade do vento obtidos de estações meteorológicas próximas dos experimentos. A HTT foi correlacionada com o aparecimento dos primeiros sintomas da brusone em arroz para definir limites baseados na HTT. A HTT sazonal entre anos x locais variou de 5.1oC h-1 ano-1 a 725.3oC h-1 ano-1. O risco para brusone iniciou após a HTT atingir 33.6oC h-1, 66.8oC h-1 e 75.6oC h-1 desde primeiro de junho até a emergência do arroz (EM) e após a EM o risco iniciou ao atingir HTT igual ou maior a 12.5oC h-1, 55.3oC h-1 e 121.8oC h-1 para cultivares suscetíveis, médio-resistentes e resistentes, respectivamente. Através desses resultados, surge uma alternativa para manejo de fungicidas utilizando como base a soma hidrotérmica horária em ao invés do manejo baseado em calendário civil, pois através da HTT é possível identificar a variabilidade interanual e de cultivar, os dois fatores mais importantes em epidemias de brusone em arroz.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaCentro de Ciências RuraisPrograma de Pós-Graduação em AgronomiaUFSMBrasilAgronomiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessRisco de brusoneManejo integrado de doençasModelagem agrícolaSimulArrozOryza sativaSistemas para decisão e suporteBalanço no fornecimentoRice blastIntegrated management of diseasesCrop modellingSimulArrozOryza sativaDecision support systemsSupply balanceCNPQ::CIENCIAS AGRARIAS::AGRONOMIAPrevisão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArrozRice yield forecast and introduction of blast disease submodel in SimulArroz modelinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisStreck, Nereu Augustohttp://lattes.cnpq.br/8121082379157248Costa, Ivan Francisco Dressler daZanon, Alencar JuniorOgoshi, ClaudioCera, Jossana CeolinSteinmetz, Silviohttp://lattes.cnpq.br/8974429786688486Silva, Michel Rocha da5001000000096006006006006006003b01ed40-f2a9-4cc8-9109-59e6f482b05d5604a7d3-aaf1-47dc-9d11-24bac37f7bd77c192458-1ad6-408b-9816-876d3c54fd227c7b164e-daea-46ed-90e4-44bf948e81888f3bbb51-bc7f-4f8d-8d19-cccb08d721d87d364a3f-f5eb-4898-902f-52c4209fa2db1983d434-8f3d-4650-bfdf-07552d21210freponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALTES_PPGAGRONOMIA_2020_SILVA_MICHEL.pdfTES_PPGAGRONOMIA_2020_SILVA_MICHEL.pdfTese de Doutoradoapplication/pdf3401711http://repositorio.ufsm.br/bitstream/1/23554/1/TES_PPGAGRONOMIA_2020_SILVA_MICHEL.pdfa6cfb15bbcd6e6b15aff5c648a68b783MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz
dc.title.alternative.eng.fl_str_mv Rice yield forecast and introduction of blast disease submodel in SimulArroz model
title Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz
spellingShingle Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz
Silva, Michel Rocha da
Risco de brusone
Manejo integrado de doenças
Modelagem agrícola
SimulArroz
Oryza sativa
Sistemas para decisão e suporte
Balanço no fornecimento
Rice blast
Integrated management of diseases
Crop modelling
SimulArroz
Oryza sativa
Decision support systems
Supply balance
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz
title_full Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz
title_fullStr Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz
title_full_unstemmed Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz
title_sort Previsão de safra de arroz e introdução de um submodelo de brusone no modelo SimulArroz
author Silva, Michel Rocha da
author_facet Silva, Michel Rocha da
author_role author
dc.contributor.advisor1.fl_str_mv Streck, Nereu Augusto
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8121082379157248
dc.contributor.advisor-co1.fl_str_mv Costa, Ivan Francisco Dressler da
dc.contributor.referee1.fl_str_mv Zanon, Alencar Junior
dc.contributor.referee2.fl_str_mv Ogoshi, Claudio
dc.contributor.referee3.fl_str_mv Cera, Jossana Ceolin
dc.contributor.referee4.fl_str_mv Steinmetz, Silvio
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/8974429786688486
dc.contributor.author.fl_str_mv Silva, Michel Rocha da
contributor_str_mv Streck, Nereu Augusto
Costa, Ivan Francisco Dressler da
Zanon, Alencar Junior
Ogoshi, Claudio
Cera, Jossana Ceolin
Steinmetz, Silvio
dc.subject.por.fl_str_mv Risco de brusone
Manejo integrado de doenças
Modelagem agrícola
SimulArroz
Oryza sativa
Sistemas para decisão e suporte
Balanço no fornecimento
topic Risco de brusone
Manejo integrado de doenças
Modelagem agrícola
SimulArroz
Oryza sativa
Sistemas para decisão e suporte
Balanço no fornecimento
Rice blast
Integrated management of diseases
Crop modelling
SimulArroz
Oryza sativa
Decision support systems
Supply balance
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Rice blast
Integrated management of diseases
Crop modelling
SimulArroz
Oryza sativa
Decision support systems
Supply balance
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description The objectives of this thesis were (i) to adapt a methodology for rice yield forecast in Rio Grande do Sul – Brazil; (ii). to use hourly hydro-thermal time (HTT) to assess interannual and regional weather variability for rice blast risk in southern Brazil. For the objective (i) it was used Morell’s et al. (2016) yield forecast methodology, adapted for rice using SimulArroz v1.1 rice model, actual and historic weather data. Six different scenarios considering different levels of field information were used, changing number of sowing dates (1 to 4), number of cycle length or cultivars (1 to 3) during four growing seasons (2015 to 2018). Root mean square error (RMSE) comparing actual yield versus simulated yield for Rio Grande do Sul ranged from 618.3 kg ha-1 (8%) to 1024.8 kg ha-1 (13%). The recommended scenario for rice yield forecast was Complex 1 that used 3 sowing dates and the 3 most representative rice cultivars (C1), presenting good forecast predictability (RMSE = 618.3 kg ha-1 or RMSE (%) = 8). For objective (ii) a large data collected from multiple locations and years in southern Brazil were used. For each year x site x cultivar combination, HTT was calculated using hourly data of air temperature, relative humidity and wind speed collected from nearby weather station. The HTT was correlated with blast onset to define a threshold for blast onset. The seasonal HTT between years x sites ranged from 5.1oC h-1 year-1 to 725.3oC h-1 year-1. Blast risk started after HTT of 33.6oC h-1, 66.8oC h-1 and 75.6oC h-1 from Jun 1st until rice emergence (EM) and after HTT of 12.5oC h-1, 55.3oC h-1 and 121.8oC h-1 after EM for susceptible, medium-resistant and resistant cultivar, respectively. Based on the results, it would possible to improve fungicide management using the HTT approach over the calendarization approach, once we would be able to discriminate the cultivar and year influence, the two most important factors on rice blast epidemics.
publishDate 2020
dc.date.issued.fl_str_mv 2020-05-25
dc.date.accessioned.fl_str_mv 2022-01-17T17:35:56Z
dc.date.available.fl_str_mv 2022-01-17T17:35:56Z
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Agronomia
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Agronomia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
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