MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELS
ABSTRACT Evaluating the impacts of water stress on crop yield allows comparing irrigation management alternatives, aiming to ensure an economic return for the irrigated farms. Thus, the main objectives of this study were to model the soil water balance, deriving the crop coefficients, grain yield pr...
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Format: | Article |
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Sociedade Brasileira de Engenharia Agrícola
2020-08-01
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Series: | Engenharia Agrícola |
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000400526&tlng=en |
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author | Mirta T. Petry Laudenir J. Basso Reimar Carlesso Maria S. Armoa Jonas R. Henkes |
author_facet | Mirta T. Petry Laudenir J. Basso Reimar Carlesso Maria S. Armoa Jonas R. Henkes |
author_sort | Mirta T. Petry |
collection | DOAJ |
description | ABSTRACT Evaluating the impacts of water stress on crop yield allows comparing irrigation management alternatives, aiming to ensure an economic return for the irrigated farms. Thus, the main objectives of this study were to model the soil water balance, deriving the crop coefficients, grain yield prediction, and economic return of soybean grown at different levels of water deficit and price quotations. The experiment was carried out under a rainout shelter, using four irrigation water managements. Irrigations were applied when the soil available water in the root zone reached 75%, 64%, 60%, and 50% of the total available water (TAW). Crop and soil parameters were monitored throughout the crop season. The SIMDualKc model was used to simulate the soil water balance. Statistics indicators demonstrated the goodness of the simulation, with regression coefficients (b0) ranging from 0.96 and 0.99 and root mean square errors (RMSE) ≤8.4 mm. Crop coefficients for initial, intermediate, and final stages were calibrated and validated at 0.15, 1.00, and 0.10, respectively. Crop yield and economic return were higher for the treatment kept at 75% of TAW, results that should be considered in irrigation management programs. |
first_indexed | 2024-12-17T20:13:01Z |
format | Article |
id | doaj.art-309851e8746342db86bae86c3595dad8 |
institution | Directory Open Access Journal |
issn | 0100-6916 |
language | English |
last_indexed | 2024-12-17T20:13:01Z |
publishDate | 2020-08-01 |
publisher | Sociedade Brasileira de Engenharia Agrícola |
record_format | Article |
series | Engenharia Agrícola |
spelling | doaj.art-309851e8746342db86bae86c3595dad82022-12-21T21:34:12ZengSociedade Brasileira de Engenharia AgrícolaEngenharia Agrícola0100-69162020-08-0140452653510.1590/1809-4430-eng.agric.v40n4p526-535/2020MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELSMirta T. Petryhttps://orcid.org/0000-0002-4933-607XLaudenir J. BassoReimar CarlessoMaria S. ArmoaJonas R. HenkesABSTRACT Evaluating the impacts of water stress on crop yield allows comparing irrigation management alternatives, aiming to ensure an economic return for the irrigated farms. Thus, the main objectives of this study were to model the soil water balance, deriving the crop coefficients, grain yield prediction, and economic return of soybean grown at different levels of water deficit and price quotations. The experiment was carried out under a rainout shelter, using four irrigation water managements. Irrigations were applied when the soil available water in the root zone reached 75%, 64%, 60%, and 50% of the total available water (TAW). Crop and soil parameters were monitored throughout the crop season. The SIMDualKc model was used to simulate the soil water balance. Statistics indicators demonstrated the goodness of the simulation, with regression coefficients (b0) ranging from 0.96 and 0.99 and root mean square errors (RMSE) ≤8.4 mm. Crop coefficients for initial, intermediate, and final stages were calibrated and validated at 0.15, 1.00, and 0.10, respectively. Crop yield and economic return were higher for the treatment kept at 75% of TAW, results that should be considered in irrigation management programs.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000400526&tlng=enGlycine maxsoil water balanceSIMDualKc modeleconomic return |
spellingShingle | Mirta T. Petry Laudenir J. Basso Reimar Carlesso Maria S. Armoa Jonas R. Henkes MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELS Engenharia Agrícola Glycine max soil water balance SIMDualKc model economic return |
title | MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELS |
title_full | MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELS |
title_fullStr | MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELS |
title_full_unstemmed | MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELS |
title_short | MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELS |
title_sort | modeling yield soil water balance and economic return of soybean under different water deficit levels |
topic | Glycine max soil water balance SIMDualKc model economic return |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000400526&tlng=en |
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