Predicting tef Yield using AquaCrop Model Under Various Water Availability Regimes: A case study in Northern Ethiopia

Abstract: 
Tef is one of the most important food crops grown in northern Ethiopia. This region is severely affected by drought. To continue producing the crop, it is necessary improve efficient use of water by tef within the context of climate variability. Moreover, the usefuleness of the FAO AquaCrop model and associated crop and soil factors to predict tef yield is not knownField experiments will be carried out in two areas: Mekelle University Main Campus and Raya Azebo woreda, Northern Ethiopia to predict Teff yield using FAO AquaCrop model under various water availability regimes. At the end of the study, a suitable and reliable method of predicting yield using FAO AquaCrop model will be developed.
Tef est l’une des plus importantes cultures vivrières cultivées dans le nord de l’Ethiopie. Cette région est sévèrement touchée par la sécheresse. Pour continuer à produire la culture, il est nécessaire d’améliorer l’utilisation efficace de l’eau par le tef dans le contexte de la variabilité du climat. En outre, l’utilité du modèle AquaCrop de la FAO et de la culture associée et les facteurs du sol pour prédire le rendement du tef ne sont pas connus. Les expériences sur terrain seront effectuées dans deux endroits: le campus principal de l’Université de Mekelle et Raya Azeboworeda, au Nord de l’Ethiopie afin de prédire le rendement du Teff à l’aide du modèle AquaCrop de la FAO sous divers régimes de disponibilité en eau. Au terme de l’étude, une méthode appropriée et fiable de prédiction du rendement à l’aide du modèle AquaCrop de la FAO sera élaborée.
Language: 
Extended abstracts submitted under Enhancing Natural Resource Management
Date of publication: 
2012
Country: 
Region Focus: 
East Africa
Collection: 
RUFORUM Conferences and Workshops
Agris Subject Categories: 
Licence conditions: 
Open Access
Access restriction: 
Form: 
Printed resource
Publisher: 
Notes: 

The 2012 RUFORUM Biennial Conference is the third in the series. The main objective of the Biennial conferences is to provide a platform for agricultural research for development stakeholders in Africa and beyond to actively exchange findings and experiences, while at the same time learning lessons towards improving performance of the agricultural sector and ultimately people’s livelihoods. The biennial conference is RUFORUM’s most comprehensive meeting for the diversity of stakeholers in agriculture. It is especially dedicated to graduate students and their supervisors, grantees in RUFORUM member universities and alumni. It is a platform for peer review, quality control, mentorship, networking and shared learning. The third Biennial Conference was attended by 657 participants.This record contains an extended abstract accepted under Enhancing Natural Resource Management