Advanced Applications of AquaCrop for Field Management and Climate Impact Assessment

Hussain, Muhammad Zeeshan and Mahmood, Muhammad Huzaifa and ., Farwa and Siddiqa, Fatima and Ahmad, Sajjad and Rehman, Anees ur and Ammara, Gill and Nasir, Abaid Ur Rehman (2025) Advanced Applications of AquaCrop for Field Management and Climate Impact Assessment. Asian Journal of Research in Crop Science, 10 (1). pp. 1-17. ISSN 2581-7167

[thumbnail of Hussain1012024AJRCS128909.pdf] Text
Hussain1012024AJRCS128909.pdf - Published Version

Download (503kB)

Abstract

For several years, crop models have been applied to describe and to estimate the magnitudes of weather and climate impacts on crop growth and production. This paper describes the AquaCrop model, constructed by the FAO, for the purpose of modelling and evaluation of crop production practices and climate change mitigation measures. AquaCrop is particularly useful for regions characterized with dry lands whereby soil water status plays a major role in yield potential, that is AquaCrop therefore embodies simple, accurate and stable performance. It has been then validated for global climate and management practices for simulation of crop phenology, biomass and yield, water balance and water use efficiency, and evapotranspiration. It has proved efficient in the application in crops like Maize, wheat, barley, tea, sorghum and pulse crops including groundnut and soya beans. Stress coefficients for water, fertilizing and temperature are used by AquaCrop for evaluating their impact on crop canopy growth and dry matter production, stomatal closure, flowering, pollination and harvest index. Three levels of calibration, those of canopy cover expansion, dry matter accruement and the relative amount of moisture in the root zone is also available to simulate growth conditions. Reliability of the developed model is assessed by different statistical measures such as Root Mean Square Error (RMSE), Nash-Sutcliffe efficiency, coefficient of determination (R²) and ratio (d). It plays the role of the decision support system in the context of climate change effects, water use efficiency, sowing dates, plant density and fertilizer practices under different climate conditions.

Item Type: Article
Subjects: Scholar Eprints > Agricultural and Food Science
Depositing User: Managing Editor
Date Deposited: 10 Jan 2025 06:44
Last Modified: 13 Mar 2025 04:33
URI: http://academics.promo4article.com/id/eprint/2518

Actions (login required)

View Item
View Item