EFFECT OF SOIL TYPE AND IRRIGATION SYSTEMS ON WHEAT YIELD LOSSES UNDER CLIMATE CHANGE: A REVIEW | ||||
| Fayoum Journal of Agricultural Research and Development | ||||
| Article 9, Volume 27, Issue 1, January 2013, Page 83-94 PDF (324.57 K) | ||||
| Document Type: Research articles. | ||||
| DOI: 10.21608/fjard.2013.194627 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Samiha Ouda1; Tahany Nor El din1; Iman Abbas2 | ||||
| 1Water Requirements and Field Irrigation Research Department; Soils, Water, and Environment Research Institute; Agricultural Research Center; Egypt. | ||||
| 2Central Laboratory for Experimental Design and Statistical Analysis; Agricultural Research Center; Egypt. | ||||
| Abstract | ||||
| Soil type and irrigation systems could play an important role in determination of yield losses under climate change conditions. This concept is tackled in this review, in order to shed a light on the importance of developing a strategy to reduce climate change risk on wheat. In recent years, global climate change models were introduced in Egypt and have been used to develop climate change scenarios. They are the only tools that could provide detailed regional predictions of future climate change. Two scenarios (A2 and B2) were developed and used to predict the effect climate change on the yield of wheat. Wheat was grown in eight sits in Egypt. CropSyst model was calibrated and validated for wheat and the two climate change scenarios were incorporated in the model. The model was run and the effect of climate change was assessed. The results revealed that the yield of wheat will be reduced under climate change. The percentage of yield reduction depend upon the location of the experimental site, soil type and irrigation system. High yield losses could occur in the Middle of Egypt, compared with the North of Egypt. Furthermore, growing of these crops in sandy soil and under surface irrigation will increase yield losses. Therefore, the best way to adapt to some uncertain future climate is to improve adaptation to present day climate variability and reduce vulnerability to extreme events. | ||||
| Keywords | ||||
| Adaptation strategy; global climate change models; climate change scenarios; CropSyst model | ||||
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