Agri-processing

Explanation

Statement 1 is correct. The Mega Food Park scheme operates on a scale-based model — creating large, centralised processing infrastructure — while PMFME operates on a proximity-based model, formalising micro enterprises and supporting cold chain assets closer to farm clusters. These are two structurally distinct policy instruments with different theories of change, and both exist simultaneously in India's food processing policy landscape. Statement 2 is incorrect. Cold chain projects under PMFME are complementary to, not replacements for, Mega Food Parks. Both schemes run in parallel under the Ministry of Food Processing Industries; there is no government policy designating PMFME-linked cold chain as the 'primary' instrument while displacing Mega Food Parks. The two approaches address different gaps in the value chain. Statement 3 is correct. A well-established critique in food processing policy is that mere formalisation of micro units — registering them or bringing them under a regulatory framework — does not guarantee survival or impact. Without downstream market access, working capital, testing infrastructure, and quality compliance systems, a formalised micro unit typically fails within its early years. This reflects the broader principle that supply-side formalisation must be accompanied by demand-side and systemic support to be effective.

Explanation

Statement 1 is correct. A fundamental principle of cold chain management is that temperature integrity must be maintained end-to-end — farm to consumer — because any break accelerates spoilage at the microbial level, reducing the effective selling window even before a product looks visibly deteriorated. This is why cold chain compliance is considered a shared responsibility across all handlers, not just the dairy processor. Statement 2 is incorrect. A key distinction in dairy value chain planning is that different product categories have widely differing shelf lives and demand patterns. Products like curd, paneer and yogurt are short-shelf-life, high-frequency items requiring constant replenishment, while ghee, butter and milk powder have significantly longer shelf lives and can be used strategically to absorb seasonal milk surpluses. Treating them as interchangeable for planning purposes is a classic inventory management error in agri-processing. Statement 3 is correct. Flexible manufacturing — the ability to divert raw milk across product categories such as liquid milk, cultured products, butter/ghee and powder — is a recognised inventory-management safeguard in dairy processing. It allows processors to absorb seasonal milk flush (when procurement volumes spike) by channelling surplus into longer-shelf-life products, avoiding distress selling at depressed prices or wasteful inventory accumulation.

Explanation

Statement 1 is incorrect. Crude protein content (as reported on food labels) and protein bioavailability are distinct and non-equivalent metrics. Food labels typically declare total protein by weight using methods such as the Kjeldahl or Dumas nitrogen-conversion technique, which measure nitrogen content and back-calculate protein mass. This figure does not account for digestibility or actual absorption by the body. Bioavailability — or absorbable protein — depends on factors including essential amino acid profile, digestibility coefficients, and the presence of anti-nutritional factors. A food with high crude protein but poor digestibility (e.g., cereals with incomplete amino acid profiles) may deliver far less nutritional benefit than the label implies. Statement 2 is correct. Processing methods such as pressure cooking, fermentation, and sprouting are well-established food-science tools that reduce anti-nutritional factors — phytates, tannins, trypsin inhibitors — which otherwise inhibit protein digestion. In pulses such as cowpea and mung beans, pressure cooking and fermentation have been shown to substantially raise bioavailable protein fractions, because these processes denature enzyme inhibitors and improve digestibility of storage proteins. Millets similarly respond favourably to biological processing like sprouting, which activates endogenous enzymes and pre-digests complex seed proteins. Statement 3 is correct. India is among the world's largest producers of millets and pulses, yet imports the majority of its plant protein concentrates and isolates (the refined, high-protein ingredients used in food manufacturing). This reflects a structural gap in domestic agri-processing — the capacity to convert primary crop output into value-added, ingredient-grade protein fractions. Bridging this gap is central to building a self-reliant protein ecosystem and is a stated objective of institutions such as CSIR-IHBT working on indigenous crop valorisation.

Explanation

Statement 1 is correct. A foundational challenge in agri-processing and value-addition for indigenous or wild foods is that consumer demand does not arise automatically from the existence of nutritionally superior supply. Consumers are heavily habituated to conventional foods, and targeted marketing campaigns — analogous to the egg-promotion campaigns in India — are necessary to create and sustain demand. This dual-sided intervention (supply chain building + demand creation) is a recognised principle in agri-value-chain development literature and in Indian food-processing policy thinking. Statement 2 is incorrect on a conceptual level. In agri-processing value chains — particularly those involving marginalised or remote primary producers — market competition does not automatically translate into fair producer returns. Without explicit institutional mechanisms (contract farming protections, FPO-mediated aggregation, government-mandated minimum support structures, or deliberate enterprise policy to share margins upstream), the surplus generated by processing and branding typically accrues to intermediaries and enterprises rather than to primary producers. The view that competitive markets alone secure producer welfare ignores the well-documented monopsony and bargaining asymmetry that characterise most agri-commodity markets in India, especially for wild or non-mainstream produce where producers have limited alternative buyers. Active policy and institutional support to ensure producers receive a share of value addition is therefore not redundant — it is integral to the model's success.

Explanation

All three pairs are correctly matched. First, Controlled-Atmosphere (CA) storage works by precisely regulating oxygen, carbon dioxide, nitrogen, temperature, and humidity inside sealed chambers; this suppresses the metabolic (respiration) rate of fruit, extending shelf life by several months while maintaining quality — the core mechanism that allows Kashmiri apple traders to supply southern markets well after the harvest peak. Second, cold-chain infrastructure as a whole enables staggered marketing: by holding produce in CA or refrigerated stores, growers avoid flooding the market right after harvest (which drives prices down), instead releasing stocks progressively as demand and prices warrant — directly reducing distress sales. Third, the PMFME (Pradhan Mantri Formalisation of Micro Food Processing Enterprises) scheme, administered by the Ministry of Food Processing Industries, explicitly supports the creation of Common Facility Centres (CFCs) where clusters of micro food-processing units share post-harvest infrastructure such as sorting, grading, and primary processing equipment — a standard provision of the scheme's group-support component. Each pair therefore correctly maps a post-harvest management concept to its defining function or institutional context.