Check the performance potato Plains of Ardabil considering temperature using regression model

Potatoes are the most important crop in the Ardebil province, 13% of the land area under cultivation of this crop . the purpose of this study was to study the effect of climatic factors on the yield of potatose to carry out multiple regresseion model was used. The data used in this study, such as: the total annual rainfull, average minimum temperature, average maximum temperature, average temperature, average temperature of absolute minimum and maximum, average relative humidity, average minimum and maximum moisture, frost and sunshin. In this study, eleven climatic varibles have studied in relation to the yield of potatoes and then measures the temperature separately from other variables relationship with a regression model during the growing season was calculated potatoes. In order to assess land suitability for cultivation of potato fields in Ardabil, eight data from the weather statin has been used beginning to 2012. And enjoying the multi- criteria decision- makin methods, such as vikor was to choosing the best option and plans conducive to the cultivation areas was designed using GIS. Final results are indicative of the fact that measures temperature and relativ humidity of more importanc is the yield of potatoes in fields in Ardabil. Also according to the index R-squard in the regression equation, it was found that 99% of the changes of dependent variable (potato) are explained by the independent variables used in regression model. Based on the results of vikor, according to quantity Q best region in terms cultivation of potatoes on the plains of Ardebil is the station Abi bigelow, the value of Q 1 and ranked first. And station Nir with the Q 16% is the worst region for the cultivation of potatoes. Keywords: Land Suitability, multiple regression, Ardebil Plain, Temperature, Vikor, yield potato