1Assistant Professor-cum-Scientist, Department of Extension Education (PG College of Agriculture), Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur-848125, Bihar
2Principal Scientist (Agricultural Extension), Division of Agricultural Extension, ICAR-Headquarters, Krishi Anusandhan Bhawan-I (KAB-I), Pusa, New Delhi-110012
3Ph.D. Scholar, Division of Dairy Extension, Indian Council of Agricultural Research-National Dairy Research Institute, Karnal-132001, Haryana
*Corresponding author email id: sudhanand.lal@rpcau.ac.in
Online published on 18 September, 2023.
India is an agrarian economy where around 50 per cent of its population is employed in the primary sector. In contrast, contrary agriculture and allied sectors contributed only 18.6 per cent in 2021-22 to the Indian GDP having a growth rate of meager 3.3 per cent. Punjab and Haryana are the two green revolution (GR) agrarian states of northern India. At present, climate change is the biggest threat to food security as per 1°C increase in the world’s average temperature would, on average, result in lower yields of wheat by (6.0%), rice (3.2%), maize (7.4%), and soybean by 3.1 per cent. The present study was intended to investigate the climate vagaries in all 6 agro-climatic zones of India’s green revolution belt of Punjab and Haryana. The twin green revolution states were purposively chosen, and one representative district from each zone was selected. 60 farmers from each district were selected through probability sampling method in general and step-wise simple random sampling method in particular, thus making a sample size of 360 respondents. The results concluded that Rohtak (x=3.33, Zone-II in Haryana) faced the most climate vagaries trailed by Faridkot (x=2.567, South-western zone in Punjab), Karnal, Patiala, Ropar and Rewari (x=1.083, Zone-III in Haryana). Hypothesis testing was done though Post Hoc Tukey’s Honestly Significant Difference test by conjecturing that there is no difference in climate vagaries among all 6 zones of the 2 green revolution states. From Tukey’s HSD test it was inferred that when Rohtak (3) is opted as a reference category then it has maximum number of stark and significant difference with all 5 districts viz., significant at 1% level with Karnal, Patiala, Ropar and Rewari; while significant at 5% level with Faridkot. From the given result, it can be concluded that climate resilient and smart interventions are needed most in Zone-II of Haryana and South-western zone of Punjab.
Climate change, Drought, IMD, Green revolution, Honestly significant difference (HSD), Post Hoc test, Unseasonal rain
