Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties

Detalhes bibliográficos
Autor(a) principal: Sobenko, Luiz Ricardo
Data de Publicação: 2018
Outros Autores: Armindo, Robson André, Wolff, Wagner, Costa, Jéfferson de Oliveira, de Miranda, Jarbas Honório, Duarte, Sérgio Nascimento
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/39388
Resumo: Irrigation systems are still traditionally dimensioned and managed considering that the cultivated area is homogeneous, thereby not taking into account the spatial variability of soil physical and hydraulic parameters, potentially limiting productivity. The aim of this work was to estimate the yield losses of second season maize crops when comparing the application of constant and variable complementary irrigation depths along the area, in scenarios with distinct rainfall indices, for an irrigated area in the state of Mato Grosso, Brazil. Data of the soil parameters bulk density (ρb) and available water capacity (AWC) were analysed and maps of spatial variability were generated using geostatistical tools. In the sequence, water balance for the average values of ρb and AWC and individual water balances for each pixel generated in the interpolations were determined, allowing the estimation of production losses due to the application of water depths. The water demand of the second season maize was estimated with precision for the three scenarios studied. Traditional irrigation management resulted in deficit areas and excessive depths up to 54 mm for both cases, leading to a reduction in productivity of up to 12.5%.
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spelling Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties Estimativa da perda de produtividade do milho segunda safra pela variabilidade espacial das características físico-hídricas do solo GeostatisticalPrecision irrigationZea mays L.Agricultural SciencesIrrigation systems are still traditionally dimensioned and managed considering that the cultivated area is homogeneous, thereby not taking into account the spatial variability of soil physical and hydraulic parameters, potentially limiting productivity. The aim of this work was to estimate the yield losses of second season maize crops when comparing the application of constant and variable complementary irrigation depths along the area, in scenarios with distinct rainfall indices, for an irrigated area in the state of Mato Grosso, Brazil. Data of the soil parameters bulk density (ρb) and available water capacity (AWC) were analysed and maps of spatial variability were generated using geostatistical tools. In the sequence, water balance for the average values of ρb and AWC and individual water balances for each pixel generated in the interpolations were determined, allowing the estimation of production losses due to the application of water depths. The water demand of the second season maize was estimated with precision for the three scenarios studied. Traditional irrigation management resulted in deficit areas and excessive depths up to 54 mm for both cases, leading to a reduction in productivity of up to 12.5%.Os sistemas de irrigação ainda são tradicionalmente dimensionados e manejados considerando que a área cultivada seja homogênea, não se levando em conta a variabilidade espacial dos parâmetros físico-hídricos do solo, podendo ser esta um fator limitante à produtividade. Assim, este trabalho teve por objetivo estimar as perdas de produtividade da cultura do milho “safrinha” ao comparar a aplicação de lâminas complementares constantes e variáveis ao longo da área, em cenários com índices de precipitação pluvial distintos, para uma área irrigada no estado do Mato Grosso. Dados dos parâmetros densidade do solo (ρs) e capacidade de água disponível (CAD) foram analisados, e mapas de variabilidade espacial foram gerados por meio de ferramentas de geoestatística. Em sequência, realizou-se o balanço hídrico para os valores médios de ρs e CAD, e balanços hídricos individuais para cada pixel gerado nas interpolações, permitindo estimar as perdas de produção por conta da aplicação de lâminas deficitárias. A demanda hídrica da cultura do milho “safrinha” foi estimada com precisão para os três cenários estudados. O manejo da irrigação tradicional proporcionou a aplicação de lâminas deficitárias e excessivas em até 54 mm para os dois casos, o que acarretou em reduções de produtividade de até 12,5%.EDUFU2018-05-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3938810.14393/BJ-v34n3a2018-39388Bioscience Journal ; Vol. 34 No. 3 (2018): May/June; 657-665Bioscience Journal ; v. 34 n. 3 (2018): MAI/JUNE; 657-6651981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/39388/22217Brazil; ContemporaryCopyright (c) 2018 Luiz Ricardo Sobenko, Robson André Armindo, Wagner Wolff, Jéfferson de Oliveira Costa, Jarbas Honório de Miranda, Sérgio Nascimento Duartehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSobenko, Luiz RicardoArmindo, Robson AndréWolff, WagnerCosta, Jéfferson de Oliveirade Miranda, Jarbas HonórioDuarte, Sérgio Nascimento2022-02-15T00:41:24Zoai:ojs.www.seer.ufu.br:article/39388Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-15T00:41:24Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
Estimativa da perda de produtividade do milho segunda safra pela variabilidade espacial das características físico-hídricas do solo
title Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
spellingShingle Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
Sobenko, Luiz Ricardo
Geostatistical
Precision irrigation
Zea mays L.
Agricultural Sciences
title_short Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
title_full Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
title_fullStr Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
title_full_unstemmed Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
title_sort Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
author Sobenko, Luiz Ricardo
author_facet Sobenko, Luiz Ricardo
Armindo, Robson André
Wolff, Wagner
Costa, Jéfferson de Oliveira
de Miranda, Jarbas Honório
Duarte, Sérgio Nascimento
author_role author
author2 Armindo, Robson André
Wolff, Wagner
Costa, Jéfferson de Oliveira
de Miranda, Jarbas Honório
Duarte, Sérgio Nascimento
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Sobenko, Luiz Ricardo
Armindo, Robson André
Wolff, Wagner
Costa, Jéfferson de Oliveira
de Miranda, Jarbas Honório
Duarte, Sérgio Nascimento
dc.subject.por.fl_str_mv Geostatistical
Precision irrigation
Zea mays L.
Agricultural Sciences
topic Geostatistical
Precision irrigation
Zea mays L.
Agricultural Sciences
description Irrigation systems are still traditionally dimensioned and managed considering that the cultivated area is homogeneous, thereby not taking into account the spatial variability of soil physical and hydraulic parameters, potentially limiting productivity. The aim of this work was to estimate the yield losses of second season maize crops when comparing the application of constant and variable complementary irrigation depths along the area, in scenarios with distinct rainfall indices, for an irrigated area in the state of Mato Grosso, Brazil. Data of the soil parameters bulk density (ρb) and available water capacity (AWC) were analysed and maps of spatial variability were generated using geostatistical tools. In the sequence, water balance for the average values of ρb and AWC and individual water balances for each pixel generated in the interpolations were determined, allowing the estimation of production losses due to the application of water depths. The water demand of the second season maize was estimated with precision for the three scenarios studied. Traditional irrigation management resulted in deficit areas and excessive depths up to 54 mm for both cases, leading to a reduction in productivity of up to 12.5%.
publishDate 2018
dc.date.none.fl_str_mv 2018-05-30
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://seer.ufu.br/index.php/biosciencejournal/article/view/39388
10.14393/BJ-v34n3a2018-39388
url https://seer.ufu.br/index.php/biosciencejournal/article/view/39388
identifier_str_mv 10.14393/BJ-v34n3a2018-39388
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/39388/22217
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 34 No. 3 (2018): May/June; 657-665
Bioscience Journal ; v. 34 n. 3 (2018): MAI/JUNE; 657-665
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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