Impact assessment of weather based agro-advisory services of Indus plain farming community under cold arid Ladakh

The study was conducted to evaluate the impact assessment of adoption of weather prediction using traditional knowledge and IMD based HMAARI Agro Advisory Services to understand the utilization efficiency of natural resources under cold arid region of Ladakh and to identify socio-economic status of agriculture farmers, their source of information, perception of farmers and their knowledge response carried out at High Mountain Arid Agriculture Research Institute, SKUAST (K), Leh-Ladakh. Total 100 farmers from AgroMet registered 3 villages of Leh region were randomly selected using multistage sampling technique. Socio-economic characteristics of respondents revealed that although before using advisory services, majority of the farming community were using traditional knowledge system to predict precipitation / temperature forecasting to interpret weather conditions. With the introduce of advisory services, it was recorded that old-aged farmers started using advisory services to the tune of 42 per cent. While more than 50 per cent of selected farmers (middle-aged non-registered under Agro-Met advisory services) utilized traditional prediction even under the changing climate. Education and land holding size were the most important factors influenced adoption culture of weather based Agro Advisory Services in the region. It was interesting that the old-aged people/farmers are the major source of information for traditional knowledge, have integrated and adopted the advisory services for weather prediction. As this advisory service scheme provided comprehensive information for agricultural operations. Majority (80%) selected farmers reported their satisfaction with present system of Agromet Advisory Bulletins, being issued biweekly. Whereas, the non-registered farmers of vulnerable villages in Ladakh region showed less knowledge about advisory service and its weather interpreted perdition.