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Network for Conserving Central India

Project Spotlight

Food Security: Understanding Seasonality and the Role of Multiple Cropping

8/9/2021

 
~ by Satvik Parashar
​A recent study by interdisciplinary researchers ( from McGill University, Rutgers School of Public Health, Johns Hopkins University and Deshpande Foundation, including some NCCI members from the University of Delaware, Columbia University, Foundation for Ecological Security (FES)) explores the efficacy of multiple cropping, seasonality and the socio-economic factors with respect to food security and especially dietary diversity. Specifically they explore the seasonal variation of dietary diversity and food security as well as the associations with multiple cropping and income sources in the region.​
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Credit: Amrita Neelakantan - NCCI coordinator
Food insecurity is a global problem, as 690 million people worldwide were still undernourished in 2019. Apart from this, the lack of diversity in dietary intake is responsible for chronic deficiency of micronutrients (vitamins and minerals, such as iron, vitamin A, and zinc). This deficiency is known as ‘hidden hunger’, and it affects around a quarter of the world population, especially in sub-Saharan Africa and south Asia. This calls for intensive agriculture strategies such as multiple cropping, which involves harvesting crops more than once a year. The study tests the efficacy of this cropping in increasing food security as well as dietary diversity among the households. 
 
200 households were surveyed from 40 villages within five districts of Madhya Pradesh (see map below). Same individuals from each household were surveyed for the three seasons (summer, monsoon and winter), resulting in 600 surveys.
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Map of study area showing location of the 40 study villages within the five study districts at the boundary of the Indian states of Madhya Pradesh, Maharashtra and Chhattisgarh, along with the spatial distribution of winter cropping (the second crop) in 2016 (cropped area data source: Jain et al 2017).
Get the complete dataset at NCCI's Data Collab

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