The South Asian agricultural sector has experienced vigorous growth and structural transformation over the last few decades, albeit differently across the region. This study examines the crop diversification status and various determinants, such as socioeconomic (per capita gross domestic product, population, arable land, and cropland), soil/agronomic (root zone moisture), agricultural inputs (fertilizer and pesticide consumption), the productivity of food and non-food crops, international trade, and climate (maximum and minimum temperature and rainfall) factors. The share of cereals has decreased in most countries, but they continue to dominate South Asian agriculture. The area under high-value crops in India has increased significantly, replacing the area under cereal cultivation during the study period. Similar results were seen in the Maldives, where vegetables replaced oilseeds. The Hausman model test suggested a random-effects model for analyzing the determinants. All the determinants considered in the study explain 69 percent of the variation in the crop diversification index. The crop diversification in South Asia was influenced by per capita gross domestic product (G.D.P.), minimum temperature, pesticide consumption, food crop yield index, and non-food crop yield index during the study period. Cropland percentage and population, on the other hand, reduce crop diversification. The price factor contributed more than half to agricultural growth. It remained the primary source of growth in all South Asian countries, followed by yield, which is identified as the second most crucial factor. The contribution of crop diversification to agricultural growth has been declining over time.

Vegetable production in the low and mid hills is highly vulnerable to climatic vulnerability. The study evaluated the Agricultural Climatic Vulnerability Index (ACVI) for 51 blocks in the regions using the IPCC AR4 conceptual framework. The developmental blocks were categorized into three groups (Low, Moderate and Highly Vulnerable) to collect the primary data. A multistage stratified random sampling technique was employed, using a pre-tested questionnaire. The ACVI findings reveal that the Balh Valley is the most climate-vulnerable block, while Paonta Sahib is the least. Vulnerability is primarily driven by the temperature variations in the Kharif and Rabi seasons of exposure dimension. The farm income analysis shows a decline in crop feasibility from low to high-vulnerability groups. Maximum temperature significantly reduced net crop returns, except in the case of cauliflower. Rainfall negatively impacted the profitability of crops such as tomatoes, capsicum and peas. However, an increase in the minimum temperature significantly boosted vegetable crop profitability in vulnerable groups. A balanced use of fertilizer and pesticide application, crop diversification and increased irrigation coverage significantly mitigated climate change impacts across all vulnerability groups and improved crop profitability. Among the crops studied, tomato exhibited the highest carbon sequestration potential, followed by capsicum, pea, French beans and cauliflower. A significant variation was observed in the carbon sequestration level across vulnerability groups. Farmers in these regions have adopted various adaptation strategies, including crop diversification (76.11%), nutrient management (71.11 %), varietal changes (65.56 %), and water conservation (65.56 %). To enhance resilience, the study emphasizes the importance of improved technical knowledge, capacity building, adoption of better agronomic practices, increased financial support, and comprehensive stakeholder consultation within the agricultural and allied sectors.

Background: Black gram (Vigna mungo), a key pulse crop in India, serves as a major protein source with significant health benefits. Predominantly grown in Madhya Pradesh, Uttar Pradesh, and Rajasthan, its cultivation in Punjab remains limited due to the paddy-wheat dominance. Understanding the trends in black gram cultivation and market behavior is crucial for improving its production and market efficiency, particularly in the context of policy-driven diversification and market integration.Methods: This study examines the area, production, and yield trends of black gram from 1970 to 2024, along with wholesale price data from 2014 to 2024 across selected states, to assess market integration and price behavior. Various statistical tools, including CAGR, decomposition analysis, instability analysis, seasonal indices, correlation analysis, Johansen co-integration, Granger causality, Vector Error Correction Model (VECM), impulse response function, and variance decomposition, were used for data analysis.Results: The findings indicate that black gram production and price dynamics are influenced by multiple factors. Decomposition analysis reveals the varying impact of area, yield, and interaction effects, while the Cuddy-Della Valle index highlights production instability. Seasonal indices confirm price and production fluctuations, emphasizing the need for targeted policy interventions. Strong price integration among states is evident, with high correlation coefficients and long-run equilibrium relationships. VECM suggests efficient price adjustments, and Granger causality identifies Madhya Pradesh as the key price-determining market. Impulse response and variance decomposition confirm the transmission of price shocks across states, reinforcing their interdependence.Conclusion: To enhance black gram production and market stability, investments in high-yielding and climate-resilient varieties, improved storage, transportation, and processing infrastructure are essential. Strengthening market information systems, refining procurement mechanisms, and expanding digital platforms like e-NAM can improve price discovery and farmer participation. Promoting black gram in Punjab through diversification incentives and assured marketing systems can reduce resource overuse while improving farm incomes.