Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido

Detalhes bibliográficos
Autor(a) principal: Bortolás, Francielle Altíssimo
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/19602
Resumo: Modeling of crop productivity, when inserted in the ornamental sector, is not widespread. There are few specific models for estimating ornamental crop production due to the requirement of calibrated parameters for the models. Such parameters are a condition for the model to estimate production for the local weather conditions. Real production (Pr) is directly linked to weather conditions and energy conversion. Agrometeorological models are used for their low input data requirements and simplicity, since models such as Jensen's (1968) use only relative evapotranspiration (ETr / ETp) as the independent variable. The aim of the present study was to determine the actual yield (����) and actual evapotranspiration (ETr) for Alstroemeria x hybrida according to water deficit percentages (90, 75, 60, 45 and 30% vessel holding capacity - VHC). To estimate ����, we used the Jensen agrometeorological model (1968) and for ETr the water balance method (BH), according to Thorthwaite and Mather (1955). To determine potential yield (����) the Wageningen method (MWA) was used and to estimate potential evapotranspiration (ETp) the relationship of reference evapotranspiration (ETo) with the crop coefficient (����) was necessary. The ETo have being obtained by the Penman method (1948). Penalty factors (����) were determined for water deficits (90, 75, 60, 45 and 30% of VHC). Factors were determined using the multiple regression technique using the multiple least squares (MLS) method, based on logarithmic transformations of mean relative yield terms (����/����) as percent VHC and mean relative evapotranspiration. (ETr/ETP) according to phenological phases. The phenological phases were adapted from Girardi (2016): beginning of growth and development (BGD), full growth and development (FGD) and decline in growth and development (DGD). The values of 0.2067, 0.3197 and -0.1124 were estimated for the penalty factors according to the phenological phases of the culture. The explanatory efficiency led to an R² of 0.922. The highest ETr and ETp values were found in the QCD phase (150 to 330 days after transplantation - DAT) and the lowest values were found for the BGD phase (0 to 150 DAT). For ����the highest values were found in the DGD phases (330 to 420 DAT) and the lowest values for the BGD phase. The accuracy of the estimates of the observed and estimated results by the model was based on the agreement (����), precision (����), performance (����) and mean relative error (ERM) indices. To estimate the ETr, the following results were obtained: 0.859; 0.662 and 0.569 for the ����, ���� and ���� indices. The values obtained in the analyzes classified the model with very good agreement, moderate accuracy and moderately good performance in the estimation of ETr. The results obtained in the estimation of ����were: 0,945; 0.9452 and 0.893, classifying the model with agreement, precision and optimum performance. The proposed model was able to estimate the production and evapotranspiration for Alstroemeria x hybrida.
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spelling 2020-02-17T14:57:37Z2020-02-17T14:57:37Z2019-08-05http://repositorio.ufsm.br/handle/1/19602Modeling of crop productivity, when inserted in the ornamental sector, is not widespread. There are few specific models for estimating ornamental crop production due to the requirement of calibrated parameters for the models. Such parameters are a condition for the model to estimate production for the local weather conditions. Real production (Pr) is directly linked to weather conditions and energy conversion. Agrometeorological models are used for their low input data requirements and simplicity, since models such as Jensen's (1968) use only relative evapotranspiration (ETr / ETp) as the independent variable. The aim of the present study was to determine the actual yield (����) and actual evapotranspiration (ETr) for Alstroemeria x hybrida according to water deficit percentages (90, 75, 60, 45 and 30% vessel holding capacity - VHC). To estimate ����, we used the Jensen agrometeorological model (1968) and for ETr the water balance method (BH), according to Thorthwaite and Mather (1955). To determine potential yield (����) the Wageningen method (MWA) was used and to estimate potential evapotranspiration (ETp) the relationship of reference evapotranspiration (ETo) with the crop coefficient (����) was necessary. The ETo have being obtained by the Penman method (1948). Penalty factors (����) were determined for water deficits (90, 75, 60, 45 and 30% of VHC). Factors were determined using the multiple regression technique using the multiple least squares (MLS) method, based on logarithmic transformations of mean relative yield terms (����/����) as percent VHC and mean relative evapotranspiration. (ETr/ETP) according to phenological phases. The phenological phases were adapted from Girardi (2016): beginning of growth and development (BGD), full growth and development (FGD) and decline in growth and development (DGD). The values of 0.2067, 0.3197 and -0.1124 were estimated for the penalty factors according to the phenological phases of the culture. The explanatory efficiency led to an R² of 0.922. The highest ETr and ETp values were found in the QCD phase (150 to 330 days after transplantation - DAT) and the lowest values were found for the BGD phase (0 to 150 DAT). For ����the highest values were found in the DGD phases (330 to 420 DAT) and the lowest values for the BGD phase. The accuracy of the estimates of the observed and estimated results by the model was based on the agreement (����), precision (����), performance (����) and mean relative error (ERM) indices. To estimate the ETr, the following results were obtained: 0.859; 0.662 and 0.569 for the ����, ���� and ���� indices. The values obtained in the analyzes classified the model with very good agreement, moderate accuracy and moderately good performance in the estimation of ETr. The results obtained in the estimation of ����were: 0,945; 0.9452 and 0.893, classifying the model with agreement, precision and optimum performance. The proposed model was able to estimate the production and evapotranspiration for Alstroemeria x hybrida.A modelagem da produtividade de culturas, quando inserida no setor ornamental, é pouco difundida. Existem poucos modelos específicos para estimar a produção das culturas ornamentais, devido à exigência de parâmetros calibrados para os modelos. Tais parâmetros são uma condição para que o modelo estime a produção para as condições meteorológicas do local. A produção real () está diretamente ligada às condições meteorológicas e conversão de energia. Os modelos agrometeorológicos são utilizados pela baixa exigência de dados de entrada e simplicidade, uma vez que modelos como o de Jensen (1968) utilizam apenas a evapotranspiração relativa (ETr/ETp) como variável independente. O objetivo do presente estudo foi determinar a produção real () e a evapotranspiração real (ETr) para a Alstroemeria x hybrida de acordo com porcentagens de déficit hídrico (90, 75, 60, 45 e 30% de capacidade de retenção de vaso - CRV). Para a estimativa de , utilizou-se o modelo agrometeorológico de Jensen (1968) e para ETr utilizou-se o método de balanço hídrico (BH), segundo Thorthwaite e Mather (1955). Para determinar a produtividade potencial () utilizou-se o método de Wageningen (MWA) e para estimar a evapotranspiração potencial (ETp) foi necessária a relação da evapotranspiração de referência (ETo) com o coeficiente de cultivo (Kc). O ETo foi obtido pelo método de Penman (1948). Determinaram-se os fatores de penalidade () para os déficits hídricos (90, 75, 60, 45 e 30% da CRV). A determinação dos fatores se deu por meio da técnica de regressão múltipla utilizando-se o método de mínimos quadrados múltiplos (MQM), com base em transformações logarítmicas dos termos de rendimento relativo médio (⁄) como porcentagens de CRV e evapotranspiração relativa média (ETr/ETP), de acordo com fases fenológicas. As fases fenológicas foram adaptadas de Girardi (2016): início do crescimento e desenvolvimento (ICD), pleno crescimento e desenvolvimento (PCD) e fase de queda no crescimento e desenvolvimento (QCD). Os valores de 0,2067, 0,3197 e −0,1124 foram estimados para os fatores de penalização acordo com as fases fenológicas da cultura. A eficiência explicativa levou a um R² de 0,922. Os maiores valores de ETr e ETp foram encontrados na fase de QCD (150 a 330 dias após o transplante - DAT) e os menores valores foram encontrados para a fase ICD (0 a 150 DAT). Para os maiores valores foram encontrados nas fases de QCD (330 a 420 DAT) e os menores valores para a fase ICD. A precisão das estimativas dos resultados observados e estimados pelo modelo basearam-se nos índices de concordância (Ic), precisão (Ip), desempenho (Id) e erro relativo médio (ERM). Para a estimativa da ETr foram obtidos os seguintes resultados: 0,859; 0,662 e 0,569 para os índices Ic, Ip e Id. Os valores obtidos nas análises classificaram o modelo com concordância muito boa, precisão moderada e desempenho moderadamente bom na estimativa de ETr. Os resultados obtidos na estimativa de foram: 0,945; 0,9452 e 0,893, classificando o modelo com concordância, precisão e ótimo desempenho. O modelo proposto foi capaz de estimar a produção e evapotranspiração para a Alstroemeria x hybrida.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaCentro de Ciências RuraisPrograma de Pós-Graduação em Engenharia AgrícolaUFSMBrasilEngenharia AgrícolaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessCoeficiente de penalizaçãoModelagemHorticulturaDéficit hídricoPenalty coefficientModelingHorticultureWater deficitCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLAModelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegidoModeling of evapotranspiration and production for Alstroemeria x Hybrida irrigated on protected environmentinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPeiter, Marcia Xavierhttp://lattes.cnpq.br/4072803412132476Robaina, Adroaldo Diashttp://lattes.cnpq.br/8629241691140049Parizi, Ana Rita Costenarohttp://lattes.cnpq.br/8175867178097138Girardi, Leonita Beatrizhttp://lattes.cnpq.br/8898312307430408http://lattes.cnpq.br/4133809706043817Bortolás, Francielle Altíssimo500300000008600aa9a3730-307d-44a2-8042-8c43bcf8e4b1241c1a97-6716-477b-830a-1e206718fd71b3a282ad-3e3e-42b1-b88c-5bc23251b46277bb2b95-c655-4750-af6d-91e3876163a7497ea00a-3a27-4e30-9097-c6fca682cd85reponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGEA_2019_BORTOLAS_FRANCIELLE.pdfDIS_PPGEA_2019_BORTOLAS_FRANCIELLE.pdfDissertação de Mestradoapplication/pdf1268269http://repositorio.ufsm.br/bitstream/1/19602/1/DIS_PPGEA_2019_BORTOLAS_FRANCIELLE.pdf0697679e44229b308243bf89173a90ebMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido
dc.title.alternative.eng.fl_str_mv Modeling of evapotranspiration and production for Alstroemeria x Hybrida irrigated on protected environment
title Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido
spellingShingle Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido
Bortolás, Francielle Altíssimo
Coeficiente de penalização
Modelagem
Horticultura
Déficit hídrico
Penalty coefficient
Modeling
Horticulture
Water deficit
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido
title_full Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido
title_fullStr Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido
title_full_unstemmed Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido
title_sort Modelagem da evapotranspiração e produção para Alstroemeria x Hybrida irrigada em ambiente protegido
author Bortolás, Francielle Altíssimo
author_facet Bortolás, Francielle Altíssimo
author_role author
dc.contributor.advisor1.fl_str_mv Peiter, Marcia Xavier
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/4072803412132476
dc.contributor.advisor-co1.fl_str_mv Robaina, Adroaldo Dias
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/8629241691140049
dc.contributor.referee1.fl_str_mv Parizi, Ana Rita Costenaro
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/8175867178097138
dc.contributor.referee2.fl_str_mv Girardi, Leonita Beatriz
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/8898312307430408
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/4133809706043817
dc.contributor.author.fl_str_mv Bortolás, Francielle Altíssimo
contributor_str_mv Peiter, Marcia Xavier
Robaina, Adroaldo Dias
Parizi, Ana Rita Costenaro
Girardi, Leonita Beatriz
dc.subject.por.fl_str_mv Coeficiente de penalização
Modelagem
Horticultura
Déficit hídrico
topic Coeficiente de penalização
Modelagem
Horticultura
Déficit hídrico
Penalty coefficient
Modeling
Horticulture
Water deficit
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
dc.subject.eng.fl_str_mv Penalty coefficient
Modeling
Horticulture
Water deficit
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description Modeling of crop productivity, when inserted in the ornamental sector, is not widespread. There are few specific models for estimating ornamental crop production due to the requirement of calibrated parameters for the models. Such parameters are a condition for the model to estimate production for the local weather conditions. Real production (Pr) is directly linked to weather conditions and energy conversion. Agrometeorological models are used for their low input data requirements and simplicity, since models such as Jensen's (1968) use only relative evapotranspiration (ETr / ETp) as the independent variable. The aim of the present study was to determine the actual yield (����) and actual evapotranspiration (ETr) for Alstroemeria x hybrida according to water deficit percentages (90, 75, 60, 45 and 30% vessel holding capacity - VHC). To estimate ����, we used the Jensen agrometeorological model (1968) and for ETr the water balance method (BH), according to Thorthwaite and Mather (1955). To determine potential yield (����) the Wageningen method (MWA) was used and to estimate potential evapotranspiration (ETp) the relationship of reference evapotranspiration (ETo) with the crop coefficient (����) was necessary. The ETo have being obtained by the Penman method (1948). Penalty factors (����) were determined for water deficits (90, 75, 60, 45 and 30% of VHC). Factors were determined using the multiple regression technique using the multiple least squares (MLS) method, based on logarithmic transformations of mean relative yield terms (����/����) as percent VHC and mean relative evapotranspiration. (ETr/ETP) according to phenological phases. The phenological phases were adapted from Girardi (2016): beginning of growth and development (BGD), full growth and development (FGD) and decline in growth and development (DGD). The values of 0.2067, 0.3197 and -0.1124 were estimated for the penalty factors according to the phenological phases of the culture. The explanatory efficiency led to an R² of 0.922. The highest ETr and ETp values were found in the QCD phase (150 to 330 days after transplantation - DAT) and the lowest values were found for the BGD phase (0 to 150 DAT). For ����the highest values were found in the DGD phases (330 to 420 DAT) and the lowest values for the BGD phase. The accuracy of the estimates of the observed and estimated results by the model was based on the agreement (����), precision (����), performance (����) and mean relative error (ERM) indices. To estimate the ETr, the following results were obtained: 0.859; 0.662 and 0.569 for the ����, ���� and ���� indices. The values obtained in the analyzes classified the model with very good agreement, moderate accuracy and moderately good performance in the estimation of ETr. The results obtained in the estimation of ����were: 0,945; 0.9452 and 0.893, classifying the model with agreement, precision and optimum performance. The proposed model was able to estimate the production and evapotranspiration for Alstroemeria x hybrida.
publishDate 2019
dc.date.issued.fl_str_mv 2019-08-05
dc.date.accessioned.fl_str_mv 2020-02-17T14:57:37Z
dc.date.available.fl_str_mv 2020-02-17T14:57:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/19602
url http://repositorio.ufsm.br/handle/1/19602
dc.language.iso.fl_str_mv por
language por
dc.relation.cnpq.fl_str_mv 500300000008
dc.relation.confidence.fl_str_mv 600
dc.relation.authority.fl_str_mv aa9a3730-307d-44a2-8042-8c43bcf8e4b1
241c1a97-6716-477b-830a-1e206718fd71
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77bb2b95-c655-4750-af6d-91e3876163a7
497ea00a-3a27-4e30-9097-c6fca682cd85
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
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 Engenharia Agrícola
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Engenharia Agrícola
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
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
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repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv
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