Holistic analysis of cropping diversity and intensity implications for productive, environmental, and nutritional performance of smallholder farms in Bihar, India

Bijarniya, D and Groot, J C J and Jat, M L and Toorop, R A and Lopez-Ridaura, S and Kalvania, K C and Jat, R K and Gathala, M K (2024) Holistic analysis of cropping diversity and intensity implications for productive, environmental, and nutritional performance of smallholder farms in Bihar, India. Frontiers in Sustainable Food Systems (TSI), 8. 01-10. ISSN 2571-581X

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Abstract

The agricultural productivity and sustainability in Eastern Gangetic Plain Zones of India are threatened because of the inefficiency of current production practices, shortage of resources, and socioeconomic constraints. We hypothesized the potential impact of intensified cereal systems with mung bean as a third crop within the annual cropping cycle. We assessed economic, social, and environmental indicators for intensified and current cropping system management practiced by different farm types in the region using the FarmDESIGN model. Building on a farm typology constructed for the region in our past research, we used five types of farmers: part-time (PT), well-endowed (WE), small-scale (SS) crop and livestock mix, medium-scale (MS), and resource-poor farmers (RP) in this study. The performance indicators of the 229 original cropping systems cultivated within the 43 farms varied strongly in the eight performance indicators. This variability of cropping systems performance within the farm types resulted in the absence of significant differences between the types. Compared to the original cropping systems, the intensified cropping systems with mung bean not only performed high in dietary energy (DE) production and organic matter (OM) inputs into the soil but also had high application rates of biocides and minimized losses of nitrogen (N). The intervention systems were low in labor requirement and scored at an intermediate level for crop gross margin, water use, and greenhouse gas (GHG) emissions. The ranges of areas of maize- and rice-based systems that could be replaced by intensified systems were largest for the WE and RP farm types. This was reflected in large ranges of change in the performance indicators, but no significant differences in response were found between the farm types. The intensification of maize- and rice-based systems with the proposed intervention cropping systems involving mung bean would result in increased profitability, higher DE yield, and lower requirements for labor and water as the proportion of the farms being converted increases. However, the use of biocides would increase, while the intervention cropping systems would have no significant effect on OM input, GHG emissions, and soil N losses.

Item Type:	Article
Divisions:	Global Research Program - Resilient Farm and Food Systems
CRP:	UNSPECIFIED
Uncontrolled Keywords:	cropping system management, FarmDESIGN model, dietary energy yield, organic matter inputs, farm types, GHG emission
Subjects:	Others > Smallholder Farmers Others > Cropping and Farming Systems
Depositing User:	Mr Nagaraju T
Date Deposited:	03 Jul 2024 08:40
Last Modified:	03 Jul 2024 08:40
URI:	http://oar.icrisat.org/id/eprint/12732
Official URL:	https://www.frontiersin.org/journals/sustainable-f...
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	We acknowledged the financial and technical support from the Indian Council of Agricultural Research (ICAR)-CA (Window 3 support). We are thankful to Global and Regional One CGIAR Initiative on Sustainable Intensification—Mixed Farming Systems (https://www.cgiar.org/initiative/mixed-farming-systems/) and Transforming Agri-Food Systems in South Asia (TAFSSA: https://www.cgiar.org/initiative/20-transforming-agrifood-systems-in-south-asia-tafssa/). We are also thankful to the Borlaug Institute of South Asia for facilitating the data on the research experiment. Furthermore, we thanked the farmers for their time and for sharing their experiences and expertise and the referees for their useful comments that helped us to improve the manuscript.
Links:	Google Scholar

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