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Gembloux Agro-Bio Tech (GxABT)
Gembloux Agro-Bio Tech (GxABT)
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Analysis of field data and modeling with the faq aquacrop model, in the framework of a study on the resistance of two rice cultivars to irrigation deficiency in Cambodia

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Lerfel, Déborah ULiège
Promotor(s) : Degré, Aurore ULiège
Date of defense : 12-Oct-2022 • Permalink : http://hdl.handle.net/2268.2/16573
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Title : Analysis of field data and modeling with the faq aquacrop model, in the framework of a study on the resistance of two rice cultivars to irrigation deficiency in Cambodia
Translated title : [fr] Analyse de données de terrain et modélisation à l'aide du modèle AquaCrop (FAO) dans le cadre d'une étude de la résistance de deux cultivars de riz à l'irrigation déficitaire
Author : Lerfel, Déborah ULiège
Date of defense  : 12-Oct-2022
Advisor(s) : Degré, Aurore ULiège
Committee's member(s) : Jijakli, Haissam ULiège
Wellens, Joost ULiège
De Clerck, Caroline ULiège
Ket, Pinnara 
Language : English
Number of pages : 77
Keywords : [en] AWD
[en] irrigation
[en] cultivars
[en] water-use efficiency
[en] AquaCrop
Discipline(s) : Life sciences > Agriculture & agronomy
Research unit : Institut de Technologie du Cambodge (ITC)
Target public : Researchers
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master de spécialisation en production intégrée et préservation des ressources naturelles en milieu urbain et péri-urbain
Faculty: Master thesis of the Gembloux Agro-Bio Tech (GxABT)

Abstract

[en] This study was dedicated to the analysis of the water-use efficiency of rice in Cambodia. We studied several scenarios depending on the parameters: soil and fertilization, irrigation regime and cultivar. We identified the most resistant cultivar to irrigation deficiency as CAR15, which is also the cultivar producing rice with the best WUE.
We also modeled these scenarios in AquaCrop to calibrate and validate a model, and especially with the objective to determine the accuracy of the model in stress scenarios. We had some struggles with the modeling as the irrigation records were flawed and we lacked information on some stresses that could impact the rice. Thus, we recommend a better and more rigorous data collection to be able to fit and validate the model properly in the future.


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  • Lerfel, Déborah ULiège Université de Liège > Gembloux Agro-Bio Tech

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  • Total number of views 51
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