Optimizing Water Productivity and Energy Efficiency in Selecting Crop Pattern

Document Type : Original Article

Authors

1 ph.D Student of Water Engineering Department Faculty of Agriculture, Ferdowsi University of Mashhad., Mashhad., Iran

2 Professor of Water Engineering Department Faculty of Agriculture, Ferdowsi University of Mashhad., Mashhad., Iran

3 Associate Professor. of Water Engineering Department Faculty of Agriculture, Ferdowsi University of Mashhad., Mashhad., Iran

4 Professor of Agricultural Economics Deparment, Faculty of Agriculture, Ferdowsi University of Mashhad., Mashhad., Iran

5 Professor, Faculty of Agriculture, Ferdowsi University of Mashhad., Mashhad., Iran

Abstract

Considering the importance of agriculture in developing countries, it is quite necessary to apply a programmed planning pattern based on different goals. His study used the linear and multi objective programming patterns following three main purposes such as maximizing the gross margin, water productivity and energy efficiency to determine the crop pattern of the small farms in Mashhad – Chenaran span. To gather data, a questionnaire was given to 79 farmers in farms below 5 hectare in planting year 92-93. The result showed that determining the crop pattern using a linear program aiming at water benefit will decrease water demand about 27 percent in this study zone. His will increase the income of the farmers and also the water benefit about 2/88 time and 28 percent respectively. The crop pattern based on three purposes mentioned above following weighting and constrained methods  like linear programming patterns has a stable agricultural index . It also enjoys more variety of products than linear programming patterns but it will intensify the paucity of the storage aquifer in the study zone. With respect to the paucity of water sources in the district and the policies of the country in the realm of agriculture, the crop patterns aimed at maximized water productivity and weighting method, the triple purposes mentioned above is recommended

Keywords


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