Evidence from climate-smart village (CSV) approach to mainstream climate-smart agriculture (CSA) demonstrates improved productivity, income, and reduced climatic risks. However, its contribution to gender empowerment in diverse farming households is not documented. This study creates a Gender Empowerment Index for climate-smart villages (GEI-CSV) based on four major measurable indicators-political, economic, agricultural, and social. The gender gap was derived by mapping difference in empowerment levels across selected CSVs and non-CSVs. These indicators can be used as a vital tool to understand the process of gender empowerment that can trigger the entry points to achieve gender equality, which is also an important aspect in the adoption of climate-smart agriculture practices (CSAPs). The study measures empowerment at the inter-household and intra-household level across CSVs and non-CSVs from the individual household survey with both female and male members of the same household. This paper provides evidence demonstrating how gender empowerment differs in CSVs and non-CSVs from selected climate-smart villages (community-based approach) in two contrasting ecologies and socioeconomic settings of India. The study documents the existing gender gap in CSVs and non-CSVs across India's western (Haryana) and eastern (Bihar) Indo-Gangetic Plains (IGP). Irrespective of CSVs and non-CSVs, considerable differences in outlook and gender gap were observed between Bihar and Haryana. Both women and men in Bihar are less empowered than they are in Haryana. High empowerment level in CSVs than non-CSVs shows that the concept of CSVs has brought a change towards knowledge and capacity enhancement of both women and men farmers promoting gender equality in farming households with a varying scope of interventions made and required for scaling CSAPs across the diversity of farming households.

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In this study, adoption rates of modern wheat varieties in India have been estimated using expert elicitation methodology. The study has found that the wheat varietal output has increased during the period 2010-2015. The most widely cultivated wheat varieties in the study states are HD 2967, PBW 343, PBW 550, Lok 1 and PBW 502. The temporal and spatial diversity indices have been calculated based on the perceived adoption rates. Wheat varietal turnover has been highest in Punjab (7.50 years) and lowest in Rajasthan (19.25 years). The Berger Parker index has shown that relative abundance of varieties was lowest in Punjab (1.76) and highest in Madhya Pradesh (7.10). The concentration of wheat area under dominant varieties was highest in Punjab and lowest in Rajasthan as indicated by the Marglef index. The cultivation of older varieties and dominance of a few varieties deprive the farmers of the advantages of productivity gains, genetic improvement, in addition to increasing crop vulnerability to pests and diseases. The study has concluded that besides varietal development, it is also important to focus on reducing the socioeconomic and institutional barriers to adoption of improved crop varieties. In this direction, it is important to create an enabling institutional environment for increasing the rate of varietal replacement, promote spatial heterogeneity in crop varieties cultivated, identify and effectively bring the potential varieties under the seed chain system and enhance the outreach of improved wheat varieties with an inclusive approach to reach even the resource-poor farmers.

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