Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Deficit Irrigation Optimization of Cotton with AquaCrop

View through CrossRef
Given the current pressures to reduce irrigation water use, it is important to optimize the use of water in irrigated agriculture. This work was aimed at determining the optimum level of applied irrigation water (AIW) for cotton (Gossypium hirsutum L.) production in southern Spain under several climatic and agricultural policy scenarios. To generate the yield response to variations in AIW, we used the FAO crop water productivity (WP) model, AquaCrop. Model calibration and validation using four experiments conducted in the region showed that AquaCrop adequately simulated the yield response to AIW. The model was then used to determine the yield–AIW functions for different scenarios, assuming the best deficit irrigation (DI) strategy. An economic optimization procedure showed that maximum profits occurred at AIW values between 540 and 740 mm, depending on the climatic scenario. However, profits stayed close to the maximum (above 95%) for AIW levels exceeding 300–350 mm, indicating that under DI, AIW may be reduced significantly with little impact on profits. A sensitivity analysis suggested that increasing the price of water above the current level will have only a limited impact on optimum AIW, and that the current Common Agricultural Policy (CAP) of the European Union does not encourage water conservation in cotton irrigation. We conclude that AquaCrop is a useful tool to assist managers for making decisions in cotton irrigation under water supply restrictions.
Title: Deficit Irrigation Optimization of Cotton with AquaCrop
Description:
Given the current pressures to reduce irrigation water use, it is important to optimize the use of water in irrigated agriculture.
This work was aimed at determining the optimum level of applied irrigation water (AIW) for cotton (Gossypium hirsutum L.
) production in southern Spain under several climatic and agricultural policy scenarios.
To generate the yield response to variations in AIW, we used the FAO crop water productivity (WP) model, AquaCrop.
Model calibration and validation using four experiments conducted in the region showed that AquaCrop adequately simulated the yield response to AIW.
The model was then used to determine the yield–AIW functions for different scenarios, assuming the best deficit irrigation (DI) strategy.
An economic optimization procedure showed that maximum profits occurred at AIW values between 540 and 740 mm, depending on the climatic scenario.
However, profits stayed close to the maximum (above 95%) for AIW levels exceeding 300–350 mm, indicating that under DI, AIW may be reduced significantly with little impact on profits.
A sensitivity analysis suggested that increasing the price of water above the current level will have only a limited impact on optimum AIW, and that the current Common Agricultural Policy (CAP) of the European Union does not encourage water conservation in cotton irrigation.
We conclude that AquaCrop is a useful tool to assist managers for making decisions in cotton irrigation under water supply restrictions.

Related Results

Effects of irrigation and nitrogen fertilization on mitigating salt-induced Na+ toxicity and sustaining sea rice growth
Effects of irrigation and nitrogen fertilization on mitigating salt-induced Na+ toxicity and sustaining sea rice growth
Abstract This study investigated the effects of irrigation and nitrogen (N) fertilization on mitigating salt-induced Na+ toxicity and sustaining sea rice growth for ...
Optimizing water use efficiency in maize (Zea mays L.) production through deficit irrigation in Gazhen-Fuafuat Kebele, Northwest Ethiopia
Optimizing water use efficiency in maize (Zea mays L.) production through deficit irrigation in Gazhen-Fuafuat Kebele, Northwest Ethiopia
Ethiopia's dominant maize production relies on rain, but growing water scarcity challenges dry season irrigation efforts. This necessitates smarter irrigation techniques to maximiz...
Cotton prediction from weather parameters of different city of Pakistan using machine learning technique
Cotton prediction from weather parameters of different city of Pakistan using machine learning technique
Abstract This study seeks a distinctive and efficient machine learning system for the prediction of Cotton Production using weather parameters and climate change impact on ...
Agrometeorological modeling of the forage cactus cultivar Opuntia stricta (Haw.) Haw in different irrigation frequencies
Agrometeorological modeling of the forage cactus cultivar Opuntia stricta (Haw.) Haw in different irrigation frequencies
ABSTRACT The objective with this research was to calibrate and validate the AquaCrop model for the forage cactus cultivar Opuntia stricta (Haw.) Haw, in order to simulate crop yiel...
A method for automated drip irrigation and fertigation of crops
A method for automated drip irrigation and fertigation of crops
Abstract In the agricultural field, continuously monitoring and protecting is an important task for the farmers because it enhances the crop growth. Continuous crop growth ...
Development and reproduction of Tetranychus cinnabarinus (Acari: Tetranychiae) on transgenic insect-resistant cotton plants
Development and reproduction of Tetranychus cinnabarinus (Acari: Tetranychiae) on transgenic insect-resistant cotton plants
The effects of two insect-resistant transgenic cotton strains (transgenic Bt pest-resistant cotton Zhongkangza 5 and Lumianyan 23, transgenic Bt+CpTI pest-resistant cotton sGK958 a...
Assessment of the potential for irrigation development in Albert Nile basin: A case study of Nebbi district
Assessment of the potential for irrigation development in Albert Nile basin: A case study of Nebbi district
<p>There has been limited research conducted on irrigation potential in Uganda. The existing studies provide a wide number of estimates of irrigation potential for Ug...

Back to Top