Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Semina. Ciências Agrárias (Online) |
Texto Completo: | https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/35077 |
Resumo: | The water demand of crops, as well as the relation of this variable to productivity and other important factors related to the sustainable management of agriculture, makes it relevant to estimate parameters that help in the most assertive and efficient decision-making in the agricultural environment. In this context, the work aims to estimate the actual evapotranspiration (ETa), biomass (Bio), water productivity (WP) and crop productivity (P), using the Landsat-8 satellite, through the Modified Satellite Priestley-Taylor Algorithm (MS-PT). For this, ETa was estimated for maize culture irrigated by central pivots, using the MS-PT with six images of Landsat-8, which were free of clouds. The ETa estimate was accurate in the first 60 days after emergence (DAE) of the crop. Subsequently, the variables Bio, P, and WP were estimated using the ETa and the assumptions of the Monteith (1972) model. Therefore, we sequentially calculated the dry biomass, crop productivity and water productivity. ETa presented a high correlation with Bio from the second image (06/10/2015), due to the canopy closure of the crop and, consequently, the predominance of transpiration in the evapotranspiration phenomenon. The water productivity was constant throughout the maximum vegetative stage until the reproductive phase R4 of the crop, verifying in this interval the best efficiency in the conversion of water in biomass. From the obtained results, it is verified that the set of algorithms used in the estimation of the parameters demonstrated the potential to increase the capacity to handle agriculture in a more efficient, assertive and sustainable way. |
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Semina. Ciências Agrárias (Online) |
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Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithmProdutividade e demanda hídrica do milho estimado pelo algoritmo de Priestley-Taylor modificado para satéliteLandsat-8EvapotranspirationBiomassSustainable agricultureCrop management.Landsat-8EvapotranspiraçãoBiomassaAgricultura sustentávelManejo das culturas.The water demand of crops, as well as the relation of this variable to productivity and other important factors related to the sustainable management of agriculture, makes it relevant to estimate parameters that help in the most assertive and efficient decision-making in the agricultural environment. In this context, the work aims to estimate the actual evapotranspiration (ETa), biomass (Bio), water productivity (WP) and crop productivity (P), using the Landsat-8 satellite, through the Modified Satellite Priestley-Taylor Algorithm (MS-PT). For this, ETa was estimated for maize culture irrigated by central pivots, using the MS-PT with six images of Landsat-8, which were free of clouds. The ETa estimate was accurate in the first 60 days after emergence (DAE) of the crop. Subsequently, the variables Bio, P, and WP were estimated using the ETa and the assumptions of the Monteith (1972) model. Therefore, we sequentially calculated the dry biomass, crop productivity and water productivity. ETa presented a high correlation with Bio from the second image (06/10/2015), due to the canopy closure of the crop and, consequently, the predominance of transpiration in the evapotranspiration phenomenon. The water productivity was constant throughout the maximum vegetative stage until the reproductive phase R4 of the crop, verifying in this interval the best efficiency in the conversion of water in biomass. From the obtained results, it is verified that the set of algorithms used in the estimation of the parameters demonstrated the potential to increase the capacity to handle agriculture in a more efficient, assertive and sustainable way.A demanda hídrica das culturas, assim como a relação dessa com variáveis de produtividade e outros importantes fatores relacionados ao manejo da agricultura sustentável, faz com seja relevante a estimação de parâmetros que auxiliam de modo assertivo e eficiente a tomada de decisão no ambiente agrícola. Nesse contexto, o objetivo desse trabalho foi estimar a evapotranspiração real (ETa), biomassa (Bio), produtividade da água (WP) e a produtividade da cultura (P), utilizando imagens do satélite Landsat-8, por meio do algoritmo Priestley-Taylor modificado para satélite (MS-PT). Para isso, estimou-se a ETa para a cultura do milho irrigado por pivôs central, utilizando o MS-PT com seis imagens do Landsat-8, as quais encontravam-se livre de nuvens. A estimativa da ETa foi acurada nos primeiros 60 dias após a emergência (DAE) da cultura. Posteriormente, as variáveis Bio, P, e WP foram estimadas utilizando a ETa e os pressupostos do modelo de Monteith (1972). A ETa apresentou alta correlação com a Bio a partir da segunda imagem (10/06/2015), em função do fechamento dossel da cultura e consequentemente a predominância da transpiração no fenômeno de evapotranspiração. A WP foi constante durante o máximo crescimento vegetativo até a fase reprodutiva da cultura denominada R4, sendo verificado nessa amplitude de tempo a melhor eficiência da conversão de água em biomassa. A partir dos resultados obtidos, verifica-se que esse conjunto de algoritmos utilizados para estimativa dos parâmetros relacionados a produtividade do milho mostraram o potencial de crescimento que se tem para melhorar a capacidade de como lidar com uma agricultura mais eficiente, assertiva e sustentável.UEL2019-09-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/3507710.5433/1679-0359.2019v40n6Supl2p2991Semina: Ciências Agrárias; Vol. 40 No. 6Supl2 (2019); 2991-3006Semina: Ciências Agrárias; v. 40 n. 6Supl2 (2019); 2991-30061679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/35077/26203Copyright (c) 2019 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessFilgueiras, RobertoMantovani, Everardo ChartuniAlthoff, DanielDias, Santos Henrique BrantCunha, Fernando França daVenancio, Luan Peroni2022-10-10T16:00:19Zoai:ojs.pkp.sfu.ca:article/35077Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-10T16:00:19Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm Produtividade e demanda hídrica do milho estimado pelo algoritmo de Priestley-Taylor modificado para satélite |
title |
Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm |
spellingShingle |
Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm Filgueiras, Roberto Landsat-8 Evapotranspiration Biomass Sustainable agriculture Crop management. Landsat-8 Evapotranspiração Biomassa Agricultura sustentável Manejo das culturas. |
title_short |
Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm |
title_full |
Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm |
title_fullStr |
Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm |
title_full_unstemmed |
Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm |
title_sort |
Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm |
author |
Filgueiras, Roberto |
author_facet |
Filgueiras, Roberto Mantovani, Everardo Chartuni Althoff, Daniel Dias, Santos Henrique Brant Cunha, Fernando França da Venancio, Luan Peroni |
author_role |
author |
author2 |
Mantovani, Everardo Chartuni Althoff, Daniel Dias, Santos Henrique Brant Cunha, Fernando França da Venancio, Luan Peroni |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Filgueiras, Roberto Mantovani, Everardo Chartuni Althoff, Daniel Dias, Santos Henrique Brant Cunha, Fernando França da Venancio, Luan Peroni |
dc.subject.por.fl_str_mv |
Landsat-8 Evapotranspiration Biomass Sustainable agriculture Crop management. Landsat-8 Evapotranspiração Biomassa Agricultura sustentável Manejo das culturas. |
topic |
Landsat-8 Evapotranspiration Biomass Sustainable agriculture Crop management. Landsat-8 Evapotranspiração Biomassa Agricultura sustentável Manejo das culturas. |
description |
The water demand of crops, as well as the relation of this variable to productivity and other important factors related to the sustainable management of agriculture, makes it relevant to estimate parameters that help in the most assertive and efficient decision-making in the agricultural environment. In this context, the work aims to estimate the actual evapotranspiration (ETa), biomass (Bio), water productivity (WP) and crop productivity (P), using the Landsat-8 satellite, through the Modified Satellite Priestley-Taylor Algorithm (MS-PT). For this, ETa was estimated for maize culture irrigated by central pivots, using the MS-PT with six images of Landsat-8, which were free of clouds. The ETa estimate was accurate in the first 60 days after emergence (DAE) of the crop. Subsequently, the variables Bio, P, and WP were estimated using the ETa and the assumptions of the Monteith (1972) model. Therefore, we sequentially calculated the dry biomass, crop productivity and water productivity. ETa presented a high correlation with Bio from the second image (06/10/2015), due to the canopy closure of the crop and, consequently, the predominance of transpiration in the evapotranspiration phenomenon. The water productivity was constant throughout the maximum vegetative stage until the reproductive phase R4 of the crop, verifying in this interval the best efficiency in the conversion of water in biomass. From the obtained results, it is verified that the set of algorithms used in the estimation of the parameters demonstrated the potential to increase the capacity to handle agriculture in a more efficient, assertive and sustainable way. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-30 |
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://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/35077 10.5433/1679-0359.2019v40n6Supl2p2991 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/35077 |
identifier_str_mv |
10.5433/1679-0359.2019v40n6Supl2p2991 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/35077/26203 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UEL |
publisher.none.fl_str_mv |
UEL |
dc.source.none.fl_str_mv |
Semina: Ciências Agrárias; Vol. 40 No. 6Supl2 (2019); 2991-3006 Semina: Ciências Agrárias; v. 40 n. 6Supl2 (2019); 2991-3006 1679-0359 1676-546X reponame:Semina. Ciências Agrárias (Online) instname:Universidade Estadual de Londrina (UEL) instacron:UEL |
instname_str |
Universidade Estadual de Londrina (UEL) |
instacron_str |
UEL |
institution |
UEL |
reponame_str |
Semina. Ciências Agrárias (Online) |
collection |
Semina. Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL) |
repository.mail.fl_str_mv |
semina.agrarias@uel.br |
_version_ |
1799306080958808064 |