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DocumentHandbookAquaCrop training handbooks. Book I: Understanding AquaCrop. April 2017 2017
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No results found.AquaCrop is a crop simulation model which describes the interactions between the plant and the soil. FAO developed AquaCrop to address food security and to assess the effect of environment and management on crop production . AquaCrop can be used as a planning tool or to assist in management decisions for both irrigated and rainfed agriculture. AquaCrop is particularly useful:- to understand the crop response to environmental changes (educational tool);
- to compare attainable and actual yields in a field, farm, or a region;
- to identify constraints limiting crop production and water productivity
- as a benchmarking tool to develop strategies to maximise water productivity
- to optimize crop and management practices;
- to study the effect of climate change on food production over time
- for policy and for planning purposes.
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Book (stand-alone)HandbookAquaCrop training handbooks: Book II: Running AquaCrop 2017
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No results found.This handbook is a training tool to learn how to run AquaCrop. AquaCrop is a crop water productivity model developed by the Land and Water Division of FAO to address food security and to assess the effect of environment and management on crop production. AquaCrop simulates yield response to water of herbaceous crops, and is particularly suited to address conditions where water is a key limiting factor in crop production. -
DocumentManual / guideReference Manual, Annexes – AquaCrop, Version 7.0 – August 2022 2016
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No results found.The recommended values provided for the crop parameters in the tables below represent estimates obtained in calibration/validation exercises of AquaCrop with experimental data. How good these estimates are depends on how extensive and thorough were the calibration and validation, and varies with the crop species listed. The experimental data used for a crop might have been taken in one to many locations, with or without water and temperature as limiting factors, and representing a few to many ye ars of experiments. The notes and symbols before each table provide indications of the thoroughness of the calibration/validation process with respect to optimal and water stress conditions, as well as with respect to the coverage of major production areas of that crop around the world. Note that if a crop is important in many geographical areas, even if testing with data from four or five diverse locations would not be considered thorough, whereas testing with data from three locations for a cr op limited to one geographical area may be considered as adequate.
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