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

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...

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Main Authors: Luiz Ricardo Sobenko, Robson André Armindo, Wagner Wolff, Jéfferson de Oliveira Costa, Jarbas Honório de Miranda, Sérgio Nascimento Duarte
Format: Article
Language:English
Published: Universidade Federal de Uberlândia 2018-05-01
Series:Bioscience Journal
Subjects:
Online Access:http://www.seer.ufu.br/index.php/biosciencejournal/article/view/39388
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spelling doaj-ea58af5f39904ed881afd371905680952021-06-29T13:20:58ZengUniversidade Federal de UberlândiaBioscience Journal1981-31632018-05-0134310.14393/BJ-v34n3a2018-3938839388Estimation of second season maize yield loss by the spatial variability of the soil physical-water propertiesLuiz Ricardo Sobenko0Robson André Armindo1Wagner Wolff2Jéfferson de Oliveira Costa3Jarbas Honório de Miranda4Sérgio Nascimento Duarte5University of São Paulo, College of Agriculture Federal University of Paraná (UFPR), Soils and Agricultural Engineering Dept.University of São Paulo, College of Agriculture University of São Paulo, College of Agriculture University of São Paulo, College of Agriculture University of São Paulo, College of Agriculture 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 (Ïb) 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 Ïb 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%.http://www.seer.ufu.br/index.php/biosciencejournal/article/view/39388geostatisticalprecision irrigationzea mays l.
collection DOAJ
language English
format Article
sources DOAJ
author Luiz Ricardo Sobenko
Robson André Armindo
Wagner Wolff
Jéfferson de Oliveira Costa
Jarbas Honório de Miranda
Sérgio Nascimento Duarte
spellingShingle Luiz Ricardo Sobenko
Robson André Armindo
Wagner Wolff
Jéfferson de Oliveira Costa
Jarbas Honório de Miranda
Sérgio Nascimento Duarte
Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
Bioscience Journal
geostatistical
precision irrigation
zea mays l.
author_facet Luiz Ricardo Sobenko
Robson André Armindo
Wagner Wolff
Jéfferson de Oliveira Costa
Jarbas Honório de Miranda
Sérgio Nascimento Duarte
author_sort Luiz Ricardo Sobenko
title Estimation of second season maize yield loss by the spatial variability of the soil physical-water properties
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
publisher Universidade Federal de Uberlândia
series Bioscience Journal
issn 1981-3163
publishDate 2018-05-01
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 (Ïb) 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 Ïb 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%.
topic geostatistical
precision irrigation
zea mays l.
url http://www.seer.ufu.br/index.php/biosciencejournal/article/view/39388
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