Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação

Detalhes bibliográficos
Autor(a) principal: Báez, María Soledad Armoa
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/13549
Resumo: Irrigation strategies that promote water savings are needed in current and future scenarios for various locations around the world. Poor irrigation appears as an alternative to contribute to this, reducing the impacts on production when applied during less sensitive phases of crop development. The precise determination of water losses in the soil-plant-atmosphere system in the form of crop evapotranspiration (ETc) guarantees a better irrigation water management, thus, it is worth noting the utility of simulation models such as SIMDualKc, which due to methodology implemented by it, favors the partitioning of ETc in its base components, crop transpiration (Tc) and soil evaporation (Es). This study aimed to evaluate the dynamics of the water balance and the impacts of water stress on the water productivity and soybean crop yield with crop residues on the soil surface in order to generate an irrigation strategy that reduces water use and optimizes water and crop productivity in the sub-humid climatic conditions of Santa Maria, RS, during the 2016 crop season. The experiment was conducted inside a rain shelter, where 4 treatments with different levels of water stress were tested: T1 (no water stress), T2 (mild water stress), T3 (moderate water stress) and T4 (severe water stress). A completely randomized experimental design with 3 replications was implemented. Irrigation was performed with a micro- sprinkler system when soil moisture reached 80, 70, 60 and 50% of the total available water (TAW). The soil was content was monitored at the entire soil profile till 0.85 m throughout the crop development cycle with FDR sensors. The ETo was daily calculated by the Penman-Monteith method using meteorological data registered at the INMET (Instituto Nacional de Mateorologia) automatic station, located 200 m from the experimental area. The results demonstrate that the SIMDualKc model was sufficiently able to simulate the variation of the available soil water during the soybean development cycle, and consequently determine the water balance. The Kcb values calibrated and validated for the soybean crop demonstrate the high accuracy of the simulations. Due to the high atmospheric demand at the start of the experiment, the evaporation component of the soil represents, on average, 28% of the observed ETc. It can be concluded that T1 treatment may be the best option to obtain the highest crop grain yield, while T4 treatment is a better option due to the increase in water productivity, producing more with less soil available water.
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spelling 2018-06-26T16:00:49Z2018-06-26T16:00:49Z2017-01-13http://repositorio.ufsm.br/handle/1/13549Irrigation strategies that promote water savings are needed in current and future scenarios for various locations around the world. Poor irrigation appears as an alternative to contribute to this, reducing the impacts on production when applied during less sensitive phases of crop development. The precise determination of water losses in the soil-plant-atmosphere system in the form of crop evapotranspiration (ETc) guarantees a better irrigation water management, thus, it is worth noting the utility of simulation models such as SIMDualKc, which due to methodology implemented by it, favors the partitioning of ETc in its base components, crop transpiration (Tc) and soil evaporation (Es). This study aimed to evaluate the dynamics of the water balance and the impacts of water stress on the water productivity and soybean crop yield with crop residues on the soil surface in order to generate an irrigation strategy that reduces water use and optimizes water and crop productivity in the sub-humid climatic conditions of Santa Maria, RS, during the 2016 crop season. The experiment was conducted inside a rain shelter, where 4 treatments with different levels of water stress were tested: T1 (no water stress), T2 (mild water stress), T3 (moderate water stress) and T4 (severe water stress). A completely randomized experimental design with 3 replications was implemented. Irrigation was performed with a micro- sprinkler system when soil moisture reached 80, 70, 60 and 50% of the total available water (TAW). The soil was content was monitored at the entire soil profile till 0.85 m throughout the crop development cycle with FDR sensors. The ETo was daily calculated by the Penman-Monteith method using meteorological data registered at the INMET (Instituto Nacional de Mateorologia) automatic station, located 200 m from the experimental area. The results demonstrate that the SIMDualKc model was sufficiently able to simulate the variation of the available soil water during the soybean development cycle, and consequently determine the water balance. The Kcb values calibrated and validated for the soybean crop demonstrate the high accuracy of the simulations. Due to the high atmospheric demand at the start of the experiment, the evaporation component of the soil represents, on average, 28% of the observed ETc. It can be concluded that T1 treatment may be the best option to obtain the highest crop grain yield, while T4 treatment is a better option due to the increase in water productivity, producing more with less soil available water.Estratégias de irrigação que possibilitem uma poupança da água são necessárias nos cenários atuais e futuros, para diversas regiões do mundo. Aperfeiçoar a gestão da água de irrigação implica em melhorar as estimativas da evapotranspiração das culturas (ETc). A determinação precisa da ETc, garantindo uma melhor gestão da irrigação, pode ser melhorada mediante a utilização de modelos de simulação, como o SIMDualKc, o qual particiona a ETc em dois componentes básicos, a transpiração da cultura (Tc) e a evaporação do solo (Es). Este estudo avaliou a dinâmica do balanço hídrico e os impactos do déficit hídrico sobre a produtividade da água e da cultura da soja, com o intuito de identificar uma estratégia de irrigação que reduza o uso de água e otimize a produtividade da água e da cultura nas condições climáticas de Santa Maria - RS. O experimento foi conduzido durante o ano agrícola 2016, no interior de uma cobertura móvel “Rainout shelter”, onde foram testados quatro tratamentos com diferentes níveis de déficit hídrico: T1 (sem déficit hídrico), T2 (déficit hídrico leve), T3 (déficit hídrico moderado) e T4 (déficit hídrico severo). Utilizou-se o delineamento experimental inteiramente casualizado, com três repetições. A irrigação foi realizada usando um sistema de microaspersão, sempre que a umidade do solo atingia valores de 80, 70, 60 e 50% do total de água disponível (TAW). A umidade do solo foi monitorada automaticamente até a profundidade de 85 cm durante todo o ciclo de desenvolvimento da cultura, utilizando sensores FDR. A evapotranspiração de referencia (ETo) foi calculada diariamente pelo método de Penman-Monteith, a partir dos dados meteorológicos observados na estação automática do INMET, localizada a 200 m da área experimental. O modelo SIMDualKc foi utilizado para simular o balanço hídrico do solo e computar separadamente os componentes Es e Tc da ETc. Os resultados demonstraram que o modelo SIMDualKc foi suficientemente apto para simular a variação da água disponível no solo (ΔASW) ao longo do ciclo de desenvolvimento da cultura da soja e, consequentemente, determinar os componentes do balanço hídrico. Os valores dos Kcb calibrados e validados para a cultura da soja demostraram uma alta precisão nas simulações realizadas. Devido a elevada demanda evaporativa da atmosfera no início do experimento, o componente Es representou 28% da ETc. O tratamento T1, conduzido sem déficit hídrico, permitiu a obtenção do maior rendimento de grãos da cultura, enquanto o tratamento T4, apresentou a maior produtividade da água, produzindo mais com menor quantidade de água disponível.porUniversidade 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/openAccessGlycine maxModelo SIMDualKcBalanço hídricoDéficit hídricoPartição da evapotranspiraçãoProdutividade da água e da culturaSIMDualKc modelSoil water balanceSoil water déficitPartitioning of evapotranspirationWater and crop productivityCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLAPartição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigaçãoEvapotranspiration partitioning, grain yield and economic returns of soybean cultivated under different irrigation strategiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPetry, Mirta Teresinhahttp://lattes.cnpq.br/0358609083747198Martins, Juliano Dalcinhttp://lattes.cnpq.br/5624403392916420Carlesso, Reimarhttp://lattes.cnpq.br/4740272927848914http://lattes.cnpq.br/7145932185883875Báez, María Soledad Armoa500300000008600e3704094-de50-4d28-bdd9-15529739d970ef7c9228-8a2a-4f07-9292-99b76c21f5f033fc064d-f08b-4f34-8e12-09f4357a84b146e4a633-375b-466b-b04e-0c7d7e52c86dreponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação
dc.title.alternative.eng.fl_str_mv Evapotranspiration partitioning, grain yield and economic returns of soybean cultivated under different irrigation strategies
title Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação
spellingShingle Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação
Báez, María Soledad Armoa
Glycine max
Modelo SIMDualKc
Balanço hídrico
Déficit hídrico
Partição da evapotranspiração
Produtividade da água e da cultura
SIMDualKc model
Soil water balance
Soil water déficit
Partitioning of evapotranspiration
Water and crop productivity
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação
title_full Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação
title_fullStr Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação
title_full_unstemmed Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação
title_sort Partição da evapotranspiração, rendimento de grãos e retorno econômico da soja cultivada sob diferentes estratégias de irrigação
author Báez, María Soledad Armoa
author_facet Báez, María Soledad Armoa
author_role author
dc.contributor.advisor1.fl_str_mv Petry, Mirta Teresinha
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0358609083747198
dc.contributor.referee1.fl_str_mv Martins, Juliano Dalcin
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/5624403392916420
dc.contributor.referee2.fl_str_mv Carlesso, Reimar
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/4740272927848914
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7145932185883875
dc.contributor.author.fl_str_mv Báez, María Soledad Armoa
contributor_str_mv Petry, Mirta Teresinha
Martins, Juliano Dalcin
Carlesso, Reimar
dc.subject.por.fl_str_mv Glycine max
Modelo SIMDualKc
Balanço hídrico
Déficit hídrico
Partição da evapotranspiração
Produtividade da água e da cultura
topic Glycine max
Modelo SIMDualKc
Balanço hídrico
Déficit hídrico
Partição da evapotranspiração
Produtividade da água e da cultura
SIMDualKc model
Soil water balance
Soil water déficit
Partitioning of evapotranspiration
Water and crop productivity
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
dc.subject.eng.fl_str_mv SIMDualKc model
Soil water balance
Soil water déficit
Partitioning of evapotranspiration
Water and crop productivity
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description Irrigation strategies that promote water savings are needed in current and future scenarios for various locations around the world. Poor irrigation appears as an alternative to contribute to this, reducing the impacts on production when applied during less sensitive phases of crop development. The precise determination of water losses in the soil-plant-atmosphere system in the form of crop evapotranspiration (ETc) guarantees a better irrigation water management, thus, it is worth noting the utility of simulation models such as SIMDualKc, which due to methodology implemented by it, favors the partitioning of ETc in its base components, crop transpiration (Tc) and soil evaporation (Es). This study aimed to evaluate the dynamics of the water balance and the impacts of water stress on the water productivity and soybean crop yield with crop residues on the soil surface in order to generate an irrigation strategy that reduces water use and optimizes water and crop productivity in the sub-humid climatic conditions of Santa Maria, RS, during the 2016 crop season. The experiment was conducted inside a rain shelter, where 4 treatments with different levels of water stress were tested: T1 (no water stress), T2 (mild water stress), T3 (moderate water stress) and T4 (severe water stress). A completely randomized experimental design with 3 replications was implemented. Irrigation was performed with a micro- sprinkler system when soil moisture reached 80, 70, 60 and 50% of the total available water (TAW). The soil was content was monitored at the entire soil profile till 0.85 m throughout the crop development cycle with FDR sensors. The ETo was daily calculated by the Penman-Monteith method using meteorological data registered at the INMET (Instituto Nacional de Mateorologia) automatic station, located 200 m from the experimental area. The results demonstrate that the SIMDualKc model was sufficiently able to simulate the variation of the available soil water during the soybean development cycle, and consequently determine the water balance. The Kcb values calibrated and validated for the soybean crop demonstrate the high accuracy of the simulations. Due to the high atmospheric demand at the start of the experiment, the evaporation component of the soil represents, on average, 28% of the observed ETc. It can be concluded that T1 treatment may be the best option to obtain the highest crop grain yield, while T4 treatment is a better option due to the increase in water productivity, producing more with less soil available water.
publishDate 2017
dc.date.issued.fl_str_mv 2017-01-13
dc.date.accessioned.fl_str_mv 2018-06-26T16:00:49Z
dc.date.available.fl_str_mv 2018-06-26T16:00:49Z
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rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
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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 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
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