Due to complexity of smallholder farms, many times technologies with great potential fail to achieve the desired impact in leveraging productivity and profitability of the farming community. In the Indo-Gangetic Plains there is an urgent need to understand the diversity of farm households, identifying the main drivers deciding their system thus, classifying them into homogenous groups. In the present study, the diversity of smallholder farms was assessed using crop, livestock and income related characteristics and associated farm mechanization. Using principal component analysis and cluster analysis for 252 farm households, 4 farm types were identified i.e. Type 1. Small Farm households with cereal-based cropping system and subsistence livestock (39%), Type 2. Small Farm households with diversified cropping system dominated by cereal and fodder crops with only cattle herd (9%), Type 3. Marginal Farm household with diversified cropping system dominated by cash crop and herd comprising of only cattle (39%), Type 4. Marginal Farm household with diversified cropping system dominated by cereal crops and herd dominated by small ruminants (12%). Based on the constraints identified for different components of farming systems, low-cost interventions were planned for each farm type. These interventions have resulted in 84.8–103.2 per cent increase in the income of the farm HH under study suggesting usefulness of typology-based intervention planning in increasing income of small farm holders.
Sustaining agricultural systems dominated by small and vulnerable resource-poor farms that are subject to climatic aberrations is a major challenge for most Asian countries. In this context, the role of agriculture requires immediate attention in northwestern India where marginal farmers with less than a meagre 1 hectare of land represent about 67% of the population. Research based on prototype farms is being promoted in the redesign of current farming practices to help give these farmers sustainable livelihoods. We hypothesize that integrating innovative cropping systems into smallholder marginal farms could help to achieve these objectives. The study presented here describes a modelling approach for the ex-ante assessment of the current farming practices of marginal households in terms of economic, environmental, and nutritional indicators in comparison with those of experimental research farms in order to delineate an alternative scope of flexibility to optimize farming practices. We used the FarmDESIGN model to evaluate farmers’ realities, with a focus on marginal farms (marginal poor farmers (MPFs)) and marginal diversified farmers (MDF) with the objective of enhancing profit, soil organic matter balance, and nutritional system yield in terms of dietary energy and reducing pesticide usage. Introducing prototype cropping systems in up to 33% of the farm area, combined with rearrangements of the existing crops, provided ample opportunity to improve farm performance. The improvements were greater when prototype cropping systems were added, and MPFs could benefit greatly from improvements in soil organic matter balance when considering the current negative organic matter balance of most farms. We conclude that the model-based approach of evaluating the potential of new cropping systems, along with the fine tuning of alternative combinations, will support the enhanced adaptability of innovative cropping practices, which will help to improve the livelihoods of marginal farmers.
Regional impact studies are needed to explore possible adaptation options to climate change. We estimated impacts and adaptation options for future scenarios that feature different assumptions regarding climate, cropping pattern and access to irrigation with two bio-economic farm models. Farm profit, soil organic matter balance and labor input are used as indicators of farm performance. The difference between the baseline and the alternative configurations computed by models is referred as adaptation potential, indicative of the adaptation options including the corresponding changes in cropping patterns. Our results show that as long as there is sufficient access to irrigation water, there is little incentive to change current practices, as farming is at the economic optimum, has a positive soil organic matter balance and labor requirements can be met. Conversely, if irrigation is no longer possible, drastic impacts occur, causing a need to sustainably adjust on-going farm practices. Adaptation through changed crop selection reduced losses to some extent. We conclude that the use of bio-economic models can assist in evaluating the qualitative findings of participatory studies by quantitatively assessing possible climate change impacts and adaptation measures. Strong impacts of climate change, however, cannot be offset by changes in cropping patterns and need further adaptation measures.
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