We study the effect of the COVID-19 pandemic on the groundnut value chain and all the actors involved in its value chain in Ananthapuramu district of Andhra Pradesh, a leading groundnut producing state in south India. The results revealed that the COVID-19 pandemic created a double burden on farmers by disrupting farm production on one side and decreased diet diversity on the other. Disruption in farm productions resulted in a decline in household income and increased consumer food prices. The effect on farmers snowballed to other actors in the value chain, and all the actors were affected variably. Availability of storage infrastructure would have saved the farmer’s household income to some extent during the pandemic. Supply of diverse nutrient foods through the existing public distribution system, which mostly provides wheat and rice, might have helped tackle the diet diversity issue amongst farmers. Farmer’s collectives were perceived to reduce the negative impact during natural disasters like the COVID-19 pandemic by helping to organise smallholder farmers, minimise transaction costs and increase their bargaining power. In addition, effective farm extension services, including market information, could have benefited farmers during the crisis.

High-value agriculture in India is witnessing a transformation, specifically in fresh fruits and vegetables (FFV). Supply chain stakeholders, mainly small and marginal farmers, receive a very minimal share in consumer rupee due to market uncertainty, high post-harvest losses, information asymmetry, lack of processing facilities and the erratic demand-supply situation. The current study draws from an extensive review to propose a competitive, inclusive, sustainable and scalable supply chain model of primary processing centers connecting farmers directly and efficiently with consumers. The proposed model will connect producers with the rest of the supply chain and streamline the supply chain process to reduce post-harvest losses as much as possible. The integration of a market information system will ensure transparency to help in better decision-making, reduced intermediaries and information asymmetry for producers, as well as the systematic disposal of the produce. The model will increase the efficiency of the FFV supply chain and has practical implications for agribusiness management and policymakers in relation to FFV supply chain development in India.

Sorghum plays an important role in the mixed crop–livestock system of tribal farming communities in Adilabad District, a high climate risk-prone region in India. Currently, the local seed system is limited to landraces and hybrids that are primarily used for domestic grain and fodder purposes. This study aimed to understand the farmers' needs and context, and use this knowledge to deliver relevant, adoptable climate-smart sorghum crop technologies through farmer-participatory approaches (FPAs). We conducted an ex-ante survey with 103 farmer households to understand their preferences and constraints concerning sorghum, their staple food-crop. Farmers expressed taste as the most important characteristic, followed by stover yield, grain yield, drought adaptation, and pest resistance. They identified fodder deficit, loss of seed purity in landraces, and lack of diverse sorghum seed options as critical constraints. Therefore, we chose dual-purpose, open-pollinated sorghum varieties suitable for postrainy/rabi cultivation as the study site's entry point. Accordingly, sixteen popular rabi sorghum varieties were tested at ICRISAT station (2017–18 and 2018–19) for agronomic performance in field conditions under a range of treatments (irrigation and fertilization). The standing crop was also scored by farmer representatives. Additionally, the detailed lysifield study elucidated the plant functions underlying the crop agronomic performance under water stress (plant water use and stay-green score) and an important trait of farmer's interest (relation between stay-green score and in-vitro stover digestibility and relation between grain fat and protein content) The selected varieties– Phule Chitra, CSV22, M35-1 and preferred landrace (Sevata jonna)–were further tested with 21 farmers at Adilabad (2018–20). Participating farmers from both the trials and focus group discussions voiced their preference and willingness to adopt Phule Chitra and CSV22. This article summarizes how system-relevant crop options were selected for subsistence farmers of Adilabad and deployed using participatory approaches. While varieties are developed for wider adoption, farmers adopt only those suitable for their farm, household, and accessible market. Therefore, we strongly advocate FPA for developing and delivering farmer relevant crop technologies as a vehicle to systematically break crop adoption barriers and create a positive impact on household diets, well-being, and livelihoods, especially for smallholder subsistence farmers.

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Purpose The purpose of this paper is to estimate the market demand and compare the average market margins for six broad categories of fresh produce in different retail formats across five select cities of the country. It also tries to qualitatively understand the supply chain management practices of these retailers across cities. Design/methodology/approach Registered retail outlets were selected randomly from online sources. Market potential was estimated as the average sales of each category of fresh produce. Personal interviews were conducted with the market players in order to collect qualitative data about their supply chain management practices. Findings Potatoes, onions and tomatoes are the largest consumed category of fresh produce across cities. Consumers in Tier 1 and Tier 2 cities exhibit different buying behavior and preferences. Large retailers and small retailers coexist in the cities. Marketing margins of retail formats are not uniform across cities. Research limitations/implications The study did not capture the reasons for the differences observed in consumer preferences and buying behavior across cities. The study has taken into consideration only registered neighborhood stores in the study locations. Originality/value To the best of the authors’ knowledge, the paper is first of its kind which has attempted to estimate the categorywise market potential of fresh produce across study cities.