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Use of Spatial Variability Data of Temperature and Yield to Assess the Impact of Climate Change on the Crop Yield Using Mustard in Haryana as an Example

Author Affiliations

  • 1Lecturer in Geography, S.C.D.S. Government Girls Senior Secondary School, Rohtak, Haryana, INDIA
  • 2 Department of Geography, Maharishi Dayanand University, Rohtak, Haryana, INDIA
  • 3 Department of Soil Science, CCS Haryana Agricultural University, Hisar, Haryana, INDIA

Int. Res. J. Social Sci., Volume 2, Issue (3), Pages 50-52, March,14 (2013)


This paper describes and illustrates how the regression analysis of spatial variability of crop yield and temperature can be used as a tool to easily assess the quantitative impact of climate change on crop yield in future. The long term crop yield and the temperature data are generally readily available. Temperature data can also be estimated from long term weather data in the FAO database, as is the case in the present study. The last 30 years average yield data of the mustard growing districts and the LocClim estimated temperature of the period of October to February for the same districts were used in this regression study to assess the impact of the long-term temperature on the average yield of mustard crop in Haryana. It was estimated that each degree increase in the temperature during the crop growth period will increase the mustard yield in the state by 136.7 kg ha-1.


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