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The Green Revolution had profound positive impacts on human welfare and economic development across the developing world. However, its global reach was limited by agroclimatic, infrastructural, social, and political constraints. Regional disparities in poverty reduction, intra-societal inequities, and gender differences in the distribution of benefits persist even in countries that witnessed positive Green Revolution outcomes. This essay synthesizes the lessons learned and the policy redirections needed for a ‘redux’ version of the Green Revolution that enhances food and nutrition security and economic development while minimizing social, environmental, and health tradeoffs.

In response to the COVID-19 pandemic, India implemented a stringent nationwide lockdown. Although food value chains and allied activities were exempted from the lockdown, there were widespread disruptions in food access and availability. Using two panel-datasets, we distinguish the pandemic's impact on non-staples versus staples in relation to household food availability and women’s diet diversity at the national, state, and district levels in four economically backward districts of Uttar Pradesh (Maharajganj), Bihar (Munger), and Odisha (Kandhamal and Kalahandi). Both the primary and secondary data indicate a decline in household food expenditures and women’s dietary diversity in May 2020 compared to May 2019, particularly for non-staples like meats, eggs, vegetables and fruits. This occurred despite special PDS, direct benefit transfer, and ration from aanganwadis rations reaching 80%, 50%, and 30% of surveyed households, respectively. While national and state-level expenditures recovered to the pre-lockdown levels by June 2020, the district-level expenditures did not recover. Our findings contribute to the growing body of evidence of women's disproportionate vulnerability to economic shocks, the impact of a staple grain focused safety net program, and restricted markets on the access and availability of diverse nutritious foods. This paper makes a case for policy reforms towards PDS diversification to include nutrition-rich foods and market reforms to remove supply-side bottlenecks and expansion of direct benefit transfers for healthy food access. We also highlight the importance of gender-responsive safety nets and their increased coverage for improving intrahousehold nutritional disadvantages.

PurposeThis paper aims to understand the significant farm and market-level factors that incentivize the adoption and marketing of pulses influencing its supply response to changing demand.Design/methodology/approachThe authors first use a modified Nerlovian supply response model using secondary data to identify the major price and non-price factors influencing the supply of pigeon pea, black and green gram in the major pulses growing states in India. Second, using primary qualitative data the authors map the pulses value chain from farm to retail to identify the how proportional and fixed transaction costs (FCTs) influence market participation of pulses growers and limit the transmission of price and quality information.FindingsThe supply response model shows some positive influence of price on area allocation for pigeon pea and black gram and some negative effects of yield and price increase of competing crops on pigeon pea acreage. However, for the most part, the area of Kharif pulses is inelastic to prices in the long run. Irrigation, rainfall and yields in the lag year are shown to have a significant influence on area allocation for pulses. The market study reveals that low yields, low landholding size and geographical disadvantages of high agro-climatic risk and poor connectivity hinder market access of pulses farmers relative to other crops. Market power in favor of buyers and poor price and quality information is a disadvantage to sellers, influencing their ability to participate in markets.Research limitations/implicationsA quantitative study would be required to identify the magnitude of farm and market-level transaction costs.Originality/valueThis study helps to understand the supply response of pulses and gives suggestions to direct policy to rectify this.

Background: It is widely considered that women have less diverse diets than other household members. However, it has been challenging to establish this empirically since women’s diet diversity is measured differently from that of other household members. Objective: In this article, we compare women’s dietary diversity with that of their respective households and thereby generate a measure of “dietary gap.” Methods: We measure women’s “dietary gap” by using the difference of homogenized household and woman dietary scores (using the same scales). This is done using primary data on 3600 households from 4 districts in India. Additionally, we show the robustness of our results to variations in scale and recall periods used to construct the diet diversity scores. Results: Mean difference tests indicate that women consistently consume 0.1 to 0.5 fewer food groups relative to other household members, with the results being statistically significant at the 1% level. The food groups driving this dietary gap are nonstaples like Vitamin A-rich fruits and vegetables, meat/fish/poultry, and dairy. Conclusions: Results point toward the discrimination faced by women in the variety of the food consumed, the importance of considering comparability in creating indices of diet diversity, and the need to collect more detailed information on diets. To our knowledge, this is one of the first studies to examine dietary discrimination faced by women using common scales.

Background: Recent literature, largely from Africa, shows mixed effects of own-production on diet diversity. However, the role of own-production, relative to markets, in influencing food consumption becomes more pronounced as market integration increases. Objective: This paper investigates the relative importance of two factors - production diversity and household market integration - for the intake of a nutritious diet by women and households in rural India. Methods: Data analysis is based on primary data from an extensive agriculture-nutrition survey of 3600 Indian households that was collected in 2017. Dietary diversity scores are constructed for women and households is based on 24-hour and 7-day recall periods. Household market integration is measured as monthly household expenditure on key non-staple food groups. We measure production diversity in two ways - field-level and on-farm production diversity - in order to account for the cereal centric rice-wheat cropping system found in our study locations. The analysis is based on Ordinary Least Squares regressions where we control for a variety of village, household, and individual level covariates that affect food consumption, and village fixed effects. Robustness checks are done by way of using a Poisson regression specifications and 7-day recall period. Results: Conventional measures of field-level production diversity, like the number of crops or food groups grown, have no significant association with diet diversity. In contrast, it is on-farm production diversity (the field-level cultivation of pulses and on-farm livestock management, and kitchen gardens in the longer run) that is significantly associated with improved dietary diversity scores, thus suggesting the importance of non-staples in improving both individual and household dietary diversity. Furthermore, market purchases of non-staples like pulses and dairy products are associated with a significantly higher dietary diversity. Other significant determinants of dietary diversity include women’s literacy and awareness of nutrition. These results mostly remain robust to changes in the recall period of the diet diversity measure and the nature of the empirical specification. Conclusions: This study contributes to the scarce empirical evidence related to diets in India. Additionally, our results indicate some key intervention areas - promoting livestock rearing, strengthening households’ market integration (for purchase of non-staples) and increasing women’s awareness about nutrition. These are more impactful than raising production diversity.

The Women's Empowerment in Agriculture Index (WEAI) is a direct, multi-dimensional measure of women's access to resources and decision-making in various domains of agriculture. However, several challenges characterize its use: adaptation of questionnaires to local agricultural contexts, modifications to index construction once underlying activities and adequacy thresholds are modified, and sensitivity analysis. In this paper, we address such challenges based on our experience of adapting and using the WEAI across 3600 households in India. In doing so we contribute to the methodological and technical base underlying the index, expand the WEAI evidence base for South Asia, and highlight the importance of tailoring the index to specific agricultural contexts in order to impact public policies in a meaningful way., Highlights • The Abbreviated Women’s Empowerment in Agriculture Index (AWEAI) is contextually adapted for 3600 households in India. • We find that on average women in all four of our locations are disempowered in agriculture. • Disempowered women lack membership to agriculture-related Self- Help Groups, ownership of land and control over incomes. • There are significant differences between the original and our India- specific version of the AWEAI in each district.

Reducing food loss and waste (FLW) may narrow gaps between fruit and vegetable production and recommended intake. However, FLW estimates are inconsistent due to varying estimation methods.Using multiple estimation approaches, we examined the extent and determinants of FLW along tomato supply chains in South India, from farm to retail. We also explored tomato quality assessments.We surveyed 75 farm households and 83 tomato traders in the Chittoor district, Andhra Pradesh, and 52 vegetable traders and 50 vegetable retailers in Hyderabad, Telangana, on harvest and market days. We calculated declared FLW values using participant-reported losses to estimate the preharvest quality FLW and quantitative FLW values at the farmer, vegetable-trader, and vegetable-retailer stages. We calculated the destination FLW based on counted crates diverted to loss destinations, using participant-reported destinations (animal feed, field discard), to estimate the postharvest FLW from farm to retail. We used pile sorting with farmers to explore on-farm quality assessments.The average preharvest quality FLW was 13.9% of harvested tomatoes. From farm to retail, the quantitative FLW was greatest at the postharvest, farm level. Among all harvests, the median postharvest, farm-level FLW was 0.0% (IQR, 0.0%-7.9%) using the destination FLW approach (tomatoes diverted to nonfood uses) and 2.3% (IQR, 0.0%-12.5%) using the declared FLW approach (P 0.05). Among harvests with a non-zero postharvest, farm-level FLW, the median FLW was 9.1% (IQR, 2.4%-16.7%) using the destination FLW approach (tomatoes diverted to nonfood uses) and 10.0% (IQR, 2.9%-16.7%) using the declared FLW approach. Harvesting during peak season was a determinant of postharvest, farm-level and preauction, market-level FLW values. Farmers prioritize color/ripeness attributes while harvesting and tomato size while grading.Single-point estimates may obscure FLW patterns for perishable, indeterminate crops and depend on data collection and estimation methods. Reducing FLW of perishables requires the integration of quantitative and qualitative FLW estimation methods.

Over half of all women of reproductive age are affected by anaemia in India. In this paper we study the role that both household market integration and women’s empowerment in agriculture can play in determining women’s dietary diversity. Our analysis is based on primary data from 3600 households across India on agriculture, nutrition and anthropometric outcomes. We account for market integration by way of per capita household purchases (quantity) of cereals and non- cereal food groups, such as pulses, meat/ fish/ poultry, fruits and vegetables, eggs and dairy. We construct an adapted version of the Abbreviated Women’s Empowerment in Agriculture Index (A-WEAI) that is context- specific and agriculture- oriented. After controlling for individual, household and village- level explanatory factors, we find that – for a given level of per capita market purchases – women who are empowered in their agricultural decisions have significantly higher dietary diversity scores relative to women who are disempowered of such decisions. More specifically it is women’s empowerment in two areas: input in production decisions and membership in self- help groups that supports this result. Women’s empowerment also enhances dietary diversity in the presence of disaggregated per capita purchases of non-cereals such as pulses, meat, dairy and eggs. This highlights the importance of reorienting India’s agricultural price and procurement policies beyond staple grains to ensure better dietary diversity.

Soil health (SH) of managed lands in India is affected by anthropogenic activities such as nutrient mining, excessive tillage, and monocropping, which reduce the productive capacity of soils. A comprehensive SH characterization was conducted in 27 catchments in six districts of Jharkhand, India. Each was stratified into four landscape positions: (i) uncultivated upland in tree vegetation, (ii) cultivated upland in garden or orchard use, and (iii) midland and (iv) lowland areas in rice-fallow fields, yielding 113 soil samples from 0 to 15 cm and 20 from 30 to 40 cm depths. Soil textural separates as well as 15 dynamic physical, biological, and chemical properties were assessed using the Comprehensive Assessment of Soil Health framework. Nutrient analyses indicate low to very low P and K values, but high micronutrient levels. A district level ANOVA shows effects of inherent soil factors on the indicators. The influence of tillage, nutrient extraction as well as landscape hydrology on soil health indicators was apparent, notably showing uncultivated soils with higher overall SH. Puddle tillage affected the surface and subsurface soil, the latter showing reduced water holding capacity and less favorable biological indicators. Multivariate analyses showed directional separation of biological and chemical indicators in the first two principal components. A Best Subsets Regression analysis revealed organic matter, soil respiration and active carbon as the most predictive in determining overall SH scores (R2adj = 0.87). In conclusion, a comprehensive soil health assessment using a spatial framework in Jharkhand, India identified multiple SH constraints related to farmer management, associated organic matter dynamics, and natural factors.

India has the largest area of rainfed dryland agriculture globally, with a variety of distinct types of farming systems producing most of its coarse cereals, food legumes, minor millets, and large amounts of livestock. All these are vital for national and regional food and nutritional security. Yet, the rainfed drylands have been relatively neglected in mainstream agricultural and rural development policy. As a result, significant social-ecological challenges overlap in these landscapes: endemic poverty, malnutrition and land degradation. Sustainable intensification of dryland agriculture is essential for helping to address these challenges, particularly in the context of accelerating climate change. In this paper, we present 100 questions that point to the most important knowledge gaps and research priorities. If addressed, these would facilitate and inform sustainable intensification in Indian rainfed drylands, leading to improved agricultural production and enhanced ecosystem services. The horizon scanning method used to produce these questions brought together experts and practitioners involved in a broad range of disciplines and sectors. This exercise resulted in a consolidated set of questions covering the agricultural drylands, organized into 13 themes. Together, these represent a collective programme for new cross- and multi-disciplinary research on sustainable intensification in the Indian rainfed drylands.

The spatiotemporal trends in aflatoxin B1 (AFB1), fumonisin B1 (FB1), and deoxynivalenol (DON) accumulation were analyzed in a range of food commodities (maize, groundnut, pearl millet, rice, and wheat) in village settings in Unnao, Uttar Pradesh, India. Samples (n = 1549) were collected across six communities and six time points spanning a calendar year and were analyzed for mycotoxins using enzyme-linked immunosorbent assays. AFB1 and FB1 were common across surveyed villages, with moderate to high detection rates (45–75%) observed across commodities. AFB1 levels in maize and groundnuts and FB1 levels in maize and pearl millet frequently exceeded regulatory threshold levels of 15 μg/kg (AFB1) and 2 μg/g (FB1). DON was analyzed in wheat, with 3% of samples yielding detectable levels and none exceeding 1 μg/g. In rice, AFB1 levels were highest in the bran and husk and lower in the kernel. Commodity type significantly influenced AFB1 detection status, while commodity type, season, and visual quality influenced samples’ legal status. Storage characteristics and household socioeconomic status indicators did not have significant effects on contamination. No significant effects of any variables on FB1 detection or legal status were observed. Data on mycotoxin contamination, combined with data on local dietary intake, were used to estimate spatiotemporal mycotoxin exposure profiles. Estimated seasonal per capita exposure levels for AFB1 (5.4–39.3 ng/kg body weight/day) and FB1 (~0–2.4 μg/kg body weight/day) exceeded provisional maximum tolerable daily intake levels (1 ng/kg body weight/day for AFB1 and 2 μg/kg body weight/day for FB1) in some seasons and locations. This study demonstrates substantial dietary mycotoxin exposure risk in Unnao food systems and serves as an evidentiary foundation for participatory food safety intervention in the region., Highlights • Aflatoxin B1 and fumonisin B1 are prevalent in the food systems, while deoxynivalenol is largely absent. • Mycotoxin contamination in Indian villages has distinct spatial and seasonal trends. • Food system composition and cropping calendars influence the distribution of mycotoxins. • Trends in contamination are associated with dietary intakes at levels that warrant public health intervention.

India, which has long suffered from undernutrition, has seen a rapid rise in overweight incidence in the last decade and a half. These changes are characterized by significant within-country differences in overweight incidence that vary by gender and regional development levels. In this paper, we provide an integrative framework, linking the income-gradient hypothesis of obesity with biological, obesogenic, and environmental factors to provide an explanation on the emergence of within-country differences in overweight patterns. We utilize measured body mass index (BMI), along with individual- and household-level data of over 800,000 men and women surveyed in the National Family Health Surveys of 2005-06 and 2015-16 to identify correlates of within-country differences in overweight incidence. A decomposition analysis reveals that among women, in addition to increasing access to obesogenic technologies, biological factors are associated with overweight incidence. Among men, obesogenic factors related to technology use and health behaviors are associated with the rise in overweight incidence, but biological factors are not. At lower levels of regional development, overweight incidence is associated with greater access to obesogenic technology such as motorized transport, which reduces physical activity among men at higher rates than women. At higher levels of economic development, obesogenic behaviors, such as watching more television and reducing smoking, are associated with overweight incidence. Our results corroborate the call by public health experts for group-specific policies to stem the rise of overweight incidence in developing countries.

Recent large-scale pandemics such as the covid19, H1N1, Swine flu, Ebola and the Nipah virus, which impacted human health and livelihoods, have come about due to inadequate food systems safeguards to detect, trace and eliminate threats arising from zoonotic diseases. Such diseases are transmitted to humans through their interaction with animals in the food value chain including through the consumption of bush meat. Climate change has also facilitated the emergence of new zoonotic diseases. The lack of adequately enforced food-safety standards in managed agricultural production systems creates the necessary conditions for diseases to mutate into highly contagious strains. The lack of food safety measures in handling, packaging and sales of food increases risks of cross-species contamination. Finally, increasing anti-microbial resistance, combined with rapid urbanization and global interconnectedness allows diseases to spread rapidly among humans. Thus, part of the reconstruction efforts, post covid19, should include prioritizing proactive investments in food safety. The key to stave off another such pandemic lies in integrating one-health knowledge on zoonotic diseases along with food safety measures along the food value chain. Refocusing policy priorities from disease control to prevention will improve international coordination efforts in pandemic prevention. Implementing such proactive actions will cost a very small fraction of the reconstruction budgets. However, the expected benefits of the food-safety approach will include preventing global economic losses due to pandemics.

The present study sought to identify household risk factors associated with aflatoxin contamination within and across diverse Indian food systems and to evaluate their utility in risk modeling. Samples (n = 595) of cereals, pulses, and oil seeds were collected from 160 households across four diverse districts of India and analyzed for aflatoxin B1 using enzyme-linked immunosorbent assay (ELISA). Demographic information, food and cropping systems, food management behaviors, and storage environments were profiled for each household. An aflatoxin detection risk index was developed based on household-level features and validated using a repeated 5-fold cross-validation approach. Across districts, between 30-80% of households yielded at least one contaminated sample. Aflatoxin B1 detection rates and mean contamination levels were highest in groundnut and maize, respectively, and lower in other crops. Landholding had a positive univariate effect on household aflatoxin detection, while storage conditions, product source, and the number of protective behaviors used by households did not show significant effects. Presence of groundnut, post-harvest grain washing, use of sack-based storage systems, and cultivation status (farming or non-farming) were identified as the most contributive variables in stepwise logistic regression and were used to generate a household-level risk index. The index had moderate classification accuracy (68% sensitivity and 62% specificity) and significantly correlated with village-wise aflatoxin detection rates. Spatial analysis revealed utility of the index for identifying at-risk localities and households. This study identified several key features associated with aflatoxin contamination in Indian food systems and demonstrated that household characteristics are substantially predictive of aflatoxin risk.

There is overwhelming historical evidence from the developed world and from the newly emerging economies of the developing world that indicates that agricultural growth has been the primary engine of overall economic growth. The transformation of economies around the world, from predominantly agricultural to industrial, was kick-started by rapid agricultural productivity growth. Does the growth in agricultural productivity have to necessarily come from the small farm sector? Rapid improvement in small farm productivity is one of the primary mechanisms by which dramatic rural poverty reductions can be achieved as shown by the Green Revolution experience in Asia and more recently in sub-Saharan Africa. Economic growth policies that are inclusive of smallholder farmers directly contribute to the SDG 2 that is focused on ending hunger, achieving food security and promoting sustainable agriculture. Past efforts at small farm productivity improvement were focused on staple grains, looking ahead one needs to take a food systems perspective and encourage diversification into nutrition-rich legumes, pulses, horticulture crops and livestock. Investment in rural market infrastructure allows smallholders to commercialise and enhance the supply of perishable products. Linking small farms to urban food value chains is also a promising new avenue for rural poverty reduction.

Food Policy, in much of Asia, has been slow to transition from its historic focus on staple grain self-sufficiency to a more integrated approach to nutrition security. Research and policy discussions continue to focus on hunger and calorie deficiency rather than on the need for a balanced diets to address chronic micronutrient malnutrition and the emerging problems of over weight and obesity. Social welfare schemes aimed at improving nutrition also focus on ensuring calorie sufficiency, neglecting quality and diversity of diets and behavioral change towards better nutrition. This paper provides a detailed review of the evolution of food policy in India and a way forward in the transition towards nutrition security.

The United Nations Food Systems Summit (UNFSS) is an important moment to garner political and financial attention to the challenges that food systems face. It is a difficult moment with many competing national and global priorities including massive inequities, rapid climate change and a global pandemic. It will be important for the UNFSS to build in robust accountability mechanisms to ensure that commitments to address food systems challenges are upheld, and that these mechanisms align to already existing frameworks towards sustainable development. While the UNFSS may be impressive in its planning, without accountability of what, who, and by when, it could fall short in its execution. We, as the Editors of the Global Food Security Journal articulate the importance of accountability to ensure the UNFSS is not just ‘all hat and no cattle.’

CONTEXT Mycotoxins and other food safety and preservation challenges are prevalent in smallholder food systems, and communities often lack the knowledge and capacity required to effectively diagnose and address these concerns. Participatory research can facilitate innovation in resource-poor settings by fostering collective identity and leveraging endogenous systems of change, but there are limitations to the scalability and impact of this approach across contexts. Embedding participatory research within a farmer research network (FRN) has the potential to enhance the effectiveness of participatory research by enhancing the flow of knowledge between local and global innovation systems. OBJECTIVE This study proposes a framework for FRN-mediated participatory food safety research and reports on key findings from an application of this approach in six villages in Unnao District, Uttar Pradesh, India. METHODS A cohort of 184 households was organized into a FRN and engaged in a series of participatory research activities. Collective identity was developed within the FRN by reflecting on shared goals and establishing leadership. Participatory context characterization combined with multiple factor analysis (MFA) enabled formation of interest-based affinity groups, which explored potential solutions to a range of local problems. Affinity group deliberations led to the implementation of a FRN-wide hermetic grain storage intervention. Uptake of the technology was evaluated by monitoring continued usage, willingness-to-pay, price elasticity of demand, and retail sales across localities. Efficacy of the FRN approach for participatory food safety research was assessed by monitoring participation, motives, and experiential outcomes among members. RESULTS AND CONCLUSIONS Context characterization revealed distinct needs profiles influenced by the extent of home versus non-home time allocation and economic orientation. Household trials of hermetic sacks were effective in 99% (128/129) of participating households, with 83% continuing use in subsequent seasons. Willingness-to-pay analysis demonstrated substantial demand for hermetic sacks but high price elasticity across hypothetical price points. Despite demonstrable demand and positive reception, actual sales were low ( SIGNIFICANCE This study documents a novel application of the FRN approach to participatory food safety research and constitutes substantial evidence for the potential for FRNs to catalyze local-global knowledge feedback loops. The model outlined is widely adaptable and could be used across contexts in India and elsewhere.

A nutrition-sensitive food system is one that goes beyond staple grain productivity and places emphasis on the consumption of micronutrient-rich nonstaples through a variety of market and nonmarket interventions. A nutrition-sensitive approach not only considers policies related to macrolevel availability and access to nutritious food, but it also focuses on household- and individual-level determinants of improved nutrition. In addition to agriculture, intrahousehold equity, behavior change, food safety, and access to clean water and sanitation are integral components of the food system. This article provides a detailed review, from an economic perspective, on the multisectoral pathways through which agriculture influences nutrition. A critical challenge is to identify and implement food and nutrition policies that are appropriate to the particular stage of structural transformation in the country of concern.

In this chapter, we deliberate upon the role of the non-farm sector in the food systems. We argue that livelihood diversification in rural India would lead to an overall economy-wide increase in productivity, and facilitate swifter structural transformation and poverty reduction. We highlight the role of the non-farm sector for job creation in rural areas, especially along the rural-urban continuum for structural transformation to take place. Policy has not yet leveraged the potential of small towns and the peri-urban spaces as a means to create new job opportunities. We focus on these blurring of the rural-urban distinction which provide an opportunity to diversify the portfolio of economic opportunities available to rural households, thereby enabling greater rural income and improved access to food and nutrition.

Changing diets poses critical demand-side challenges for food systems. Increase in income, urban growth, processes of globalization and demographic changes have led to a reduction in the relative importance of cereals, while consumption of animal-based protein, processed and purchased foods have increased. We argue that such dietary transitions should move food security debates away from access to calories towards access and affordability of diverse and quality diets. Diet diversification should become a focus for food and agricultural policy. At the same time, food and nutrition policy should also concern itself with the rising instances of obesity and other non-communicable diseases, resulting from changing diets. Finally, given that 65.5 million Indians live in urban slums, urban food security concerns should also be a part of the broader policy discussions.

Market access determines the income of agricultural households and incentivizes the cultivation of diverse crops. Markets in India are mostly unorganized with limited infrastructure limiting their ability to cater to quality requirements and specifications demanded by urban consumers. Therefore, parallel to traditional markets, direct linkages with farms and alternative markets based on electronic sales platforms, new commodity futures and warehousing systems are needed. In this chapter, we discuss the scope of small farms to effectively link to value chains and new marketing platforms. We show that reducing transaction costs, developing and improving market infrastructure and limiting the influence of intermediaries are critical. Also, having producer organizations rectify scale disadvantages will enable better participation of smallholders in different marketing arrangements.

Despite India’s economic progress over the past two decades, regional inequality, food insecurity and malnutrition problems persist. Simultaneously, trends in overweight and obesity, along with micronutrient deficiency, portend a future public health crisis. In this book, we examine the interactions between India’s economic development, agricultural production and nutrition through the lens of a “food systems approach (FSA)”. We explore various challenges and opportunities to achieve a nutrition secure future. We bring together the latest data available on development processes in India to (1) highlight the nature of food system challenges, (2) identify trends and threats to progress, (3) emphasize policy and institutional interventions needed to address challenges and (4) set an agenda interlinking agricultural development, health and nutrition and economic development.

Over the last three decades, policy interventions have resulted in a decrease in undernourishment by at least ten percentage points. However, undernutrition and micronutrient deficiency remain a critical public health challenge, especially in less developed states, while the number of overweight individuals has increased drastically in more developed states over the same period. This increase in the triple burden of malnutrition is a matter of great concern due to its impacts on health and welfare. In this chapter, we present evidence that diversifying diets and increasing income is vital for reducing all types of malnutrition. Within households, improving education and information, behavior change, empowering women and improving access to water, sanitation and health infrastructure are essential to tackle undernutrition, hidden hunger and obesity.

Agricultural technology plays a vital role in building viable and sustainable food systems. The green revolution (GR) is a landmark example of how scale-neutral technology transformed agricultural production. However, one of the limitations of GR technologies was that it was concentrated to a few crops and to high potential regions where irrigation was readily available. Newer approaches to technological interventions need to help increase yields while limiting environmental externalities. In this chapter, we identify that biotechnology will be critical in productivity increase, improving resilience to climate change and reducing environmental impact. For this, there is a need for India to have more forward-looking biotechnology policy to bolster innovation towards climate change mitigation and adaptation.

Over the past 50 years, agricultural growth has contributed to jumpstarting overall economic growth and poverty reduction in many countries, but the progress has not been uniform and has often been accompanied by significant environmental costs. To adequately and sustainably feed the ever-growing population, the sector faces new and greater challenges, for example, declining quantity and quality of the natural resource base that underpins agricultural productivity, evolving food preferences due to rising incomes and growing urbanization, and the impact of climate change. The sector can meet these challenges with both increased and targeted investments in research and development and policies, especially aimed at sustainable intensification of smallholder production systems, increasing climate-change resilience of rural producers, improving input and output market access, reducing food loss and waste, bridging the gender inequality gap, broadening and diversifying the food source base, and promoting conservation and sustainable use of natural resources (e.g., soils, water, and biodiversity).

As India becomes the world’s most populous nation, the two central concerns for food security is how to increase and diversify food production. Although this is an opportunity for income growth for small farms, rectifying disadvantages owing to low economies of scale and poor access to capital, technology, and mechanization is critical to leverage it. In this chapter, we look at the scope of institutional interventions such as aggregation models in the form of cooperatives and farmer producer organizations in addressing the scale and access disadvantages. We also touch upon the need to revisit the issue of land reforms to enable land tenure systems to improve access to land and access to mechanization and credit.

Understanding the pathways through which climate change will impact food security is essential to creating robust food systems. First, we present scientific evidence to show that climate change will decrease crop and livestock productivity in India. Second, we show that climate change will impact health and labor productivity by increasing susceptibility to communicable and non-communicable diseases. Finally, we show that climate change will affect agricultural production and increase the vulnerability of poor regions and poor households, worsening inequities. We propose measures to actively cut down emissions, strengthen safety nets, increase policy commitment to tackle climate change and improve investments and access to technology to both mitigate its effects and increase scope for adaptation.

In this chapter, we sum up policy recommendations required for creating robust food systems and for moving the country towards a nutrition secure future. In our food systems approach, policy recommendations made are multi-sectoral with an emphasis on (a) improving agricultural productivity with a view to increasing viability of smallholder agricultural systems; (b) increasing economic growth to ensure greater structural transformation and regional prosperity; and (c) linking agriculture and nutrition to ensure health and welfare growth go hand in hand. This approach takes into account the need to integrate efforts to increase rural prosperity, food production, nutrient availability, human capital, urban food security and employment with efforts towards climate change mitigation & adaptation. Such initiatives will be key to eliminate both regional and inter-personal inequality by 2050.