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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Universidade Federal de Uberlândia
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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 |
work_keys_str_mv |
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