Current Affairs 07 February 2026

  • H5N1 AVIAN INFLUENZA (BIRD FLU)
  • DEEP TECH START-UPS IN INDIA
  • RBI FRAMEWORK FOR COMPENSATION TO CYBERFRAUD VICTIMS
  • RBI MONETARY POLICY COMMITTEE (MPC) & POLICY RATES
  • AGROFORESTRY IN INDIA
  • BLYTH’S TRAGOPAN (Tragopan blythii)


  • H5N1 avian influenza detected in dead crows in Chennai, prompting Tamil Nadu authorities to issue advisories, strengthen surveillance, and enforce biosecurity, highlighting periodic zoonotic disease risks in urban ecosystems.
  • Detection reiterates need for avian disease monitoring in migratory and urban bird populations, as sporadic outbreaks in India trigger containment protocols under national avian influenza response framework.

Relevance

GS 2 (Health & Governance)

  • Public health preparedness, zoonotic disease surveillance, One Health approach, CentreState coordination in epidemic response.

GS 3 (Environment & Science)

  • Zoonotic diseases, wildlifelivestock interface, biodiversityhealth linkages, biosecurity and pandemic risk management.
Nature of Disease
  • Avian Influenza is a zoonotic viral disease caused by Influenza A viruses of family Orthomyxoviridae, primarily infecting birds but occasionally crossing species barriers to infect humans and mammals.
  • Influenza A viruses are classified by Hemagglutinin (H1H16) and Neuraminidase (N1–N9) proteins; H5N1 subtype denotes specific antigenic structure influencing virulence, host range, and immune response.
  • Avian influenza viruses are categorised as Low Pathogenic (LPAI) or Highly Pathogenic (HPAI); H5N1 is HPAI, causing systemic infection and high mortality in domestic poultry populations.
  • Wild aquatic birds are natural reservoirs, often asymptomatic, facilitating long-distance virus spread through migratory flyways and creating epidemiological links between continents and domestic poultry.
Spread Dynamics
  • Virus spreads among birds via saliva, nasal secretions, and faeces, contaminating shared water bodies, feed sources, cages, and farm equipment in intensive poultry environments.
  • Human infection mainly occurs through direct handling of infected birds, carcasses, or contaminated environments, especially in farms and live bird markets with poor biosecurity.
  • No sustained human-to-human transmission documented, limiting pandemic potential, yet sporadic human infections justify continuous global and national surveillance.
  • Virus survives longer in cool, moist conditions, making wetlands and winter seasons ecologically favourable for persistence and transmission among bird populations.
Clinical Features
  • In birds, infection causes sudden death, respiratory distress, swelling, neurological signs, diarrhoea, and drastic fall in egg production due to multi-organ viral replication.
  • In humans, symptoms include high fever, cough, sore throat, muscle aches, and pneumonia, sometimes progressing to acute respiratory distress syndrome requiring intensive care.
  • WHO records indicate around 50% case fatality among confirmed human H5N1 cases globally, though total human infections remain very limited in number.
Biosecurity Measures
  • Culling of infected and exposed poultry remains primary containment method as vaccination effectiveness is limited against rapidly mutating highly pathogenic strains.
  • Farm biosecurity requires controlled entry, sanitation, protective clothing, and routine disinfection, reducing farm-to-farm transmission risks.
  • Safe disposal of carcasses through deep burial or incineration prevents soil and water contamination and secondary transmission.
  • Proper cooking above 70°C destroys virus, ensuring well-cooked poultry and eggs remain safe for human consumption.
Governance Structure
  • Governed under Prevention and Control of Infectious and Contagious Diseases in Animals Act, 2009, empowering authorities to enforce quarantine, culling, and movement control.
  • National Action Plan on Avian Influenza guides surveillance, outbreak response, zoning, and farmer compensation to ensure transparency and cooperation.
  • India follows One Health approach, integrating animal, human, and environmental health surveillance for zoonotic disease management.
  • Coordination among Department of Animal Husbandry, State Veterinary Services, and Public Health Departments ensures multi-sectoral outbreak response.
Sectoral Impact
  • Poultry sector is major source of affordable protein, rural employment, and income diversification, making outbreaks economically sensitive.
  • Outbreaks often cause consumer panic, price crashes, and trade restrictions, directly impacting farmers’ incomes and agri-exports.
  • Compensation mechanisms help ensure early reporting and cooperation from poultry farmers during outbreaks.
Ecology Dimension
  • Migratory birds along Central Asian Flyway act as long-distance carriers, linking disease ecology across countries and seasons.
  • Wetlands serve as ecological interfaces where wild and domestic birds interact, facilitating viral exchange.
  • Climate variability influences migration routes, congregation patterns, and viral persistence in ecosystems.
Structural Issues
  • Frequent antigenic drift and shift in influenza viruses complicate vaccine development and long-term immunity.
  • Informal poultry markets often lack traceability and biosecurity compliance, increasing outbreak risks.
  • Veterinary infrastructure and rapid diagnostic capacity remain uneven across regions.
  • Misinformation can reduce poultry consumption despite food safety assurances, hurting livelihoods.
Strategic Measures
  • Strengthen One Health surveillance systems integrating wildlife, livestock, and human disease databases for early warning.
  • Expand district-level veterinary labs and rapid response teams for timely containment.
  • Promote farmer awareness on farm-level biosecurity and early reporting practices.
  • Enhance international cooperation under WHOFAOWOAH frameworks for transboundary disease monitoring.


Current Trigger
  • Government of India issued official definition of Deep Tech start-upvia DPIIT gazette notification, bringing regulatory clarity to a previously loosely used term amid rising policy focus on technology-driven innovation.
  • Definition gains importance due to ₹1 lakh crore Research, Development and Innovation (RDI) Fund and increasing public financing support targeted at high-technology and frontier innovation sectors.

Relevance

GS 3 (Science & Technology)

  • Frontier technologies (AI, quantum, biotech, semiconductors), R&D ecosystem, IP generation, innovation-led growth.

GS 3 (Economy)

  • Knowledge economy transition, high-tech manufacturing, startup financing, productivity and export competitiveness.
Meaning of Deep Tech
  • Deep Tech refers to start-ups based on advanced scientific or engineering innovations, producing solutions rooted in new knowledge rather than incremental digital or business-model innovations.
  • Typically operates in frontier domains like AI, quantum computing, biotechnology, semiconductors, space tech, and advanced materials, where breakthroughs rely on scientific research and experimentation.
  • Distinguished from regular tech start-ups by high R&D intensity, strong IP creation, and technology-led competitive advantage rather than platform or service aggregation models.
  • Deep tech innovation often originates from university labs, research institutions, or scientific ecosystems, linking academia, industry, and government research systems.
Qualification Norms
  • A deep tech start-up must focus on new scientific or engineering knowledge, not merely applying existing technologies in commercial or service contexts.
  • Must spend major share of expenditure on R&D, signalling research-driven rather than marketing-driven enterprise structure.
  • Required to own or develop significant intellectual property (IP) and actively pursue commercialisation of that IP.
  • Characterised by long gestation, high capital needs, infrastructure intensity, and significant technical uncertainty, distinguishing it from fast-scaling digital start-ups.
Age & Turnover Rules
  • Standard start-up defined as entity less than 10 years old or turnover below 200 crore, as per DPIIT norms.
  • Deep tech start-ups receive extended runway, qualifying as start-up for up to 20 years with turnover ceiling of ₹300 crore, acknowledging longer innovation cycles.
  • Recognition requires application and certification by DPIIT, making status rule-based rather than self-declared.
Regulatory Structure
  • DPIIT is final authority for recognising start-ups and deep tech start-ups, ensuring standardised national classification.
  • Decisions guided by Inter-Ministerial Board of Certification including representatives from DPIIT, Department of Science & Technology (DST) and Department of Biotechnology (DBT).
  • Start-ups are restricted from investing in real estate, speculative assets, or securities unless directly linked to knowledge creation, ensuring focus on innovation.
  • Reflects governance shift toward mission-oriented innovation policy rather than broad-based start-up promotion alone.
Strategic Importance
  • Deep tech critical for strategic autonomy, technological sovereignty, and high-value manufacturing, reducing dependence on foreign technology.
  • Drives productivity, export competitiveness, and high-skilled employment, moving India up the global value chain.
  • Aligns with Atmanirbhar Bharat, Digital India, and Make in India visions focusing on domestic innovation capacity.
  • Encourages knowledge economy transition, where growth stems from IP, patents, and research-led enterprises.
R&D Support
  • Anusandhan National Research Foundation (ANRF) oversees ₹1 lakh crore RDI Fund to finance emerging technologies and research over seven years.
  • Deep tech start-ups may receive concessional financing at 2–4% interest with tenures up to 15 years, easing capital constraints.
  • Public funding reduces early-stage risk where private investors hesitate due to uncertain and long innovation cycles.
  • Signals state-led catalytic role in high-risk innovation financing.
Structural Constraints
  • Long gestation periods delay revenue generation, creating funding stress and investor hesitation.
  • Limited deep-tech venture capital ecosystem compared to US and China.
  • Weak academia–industry technology transfer pipelines slow commercialisation.
  • Talent shortages in frontier science and interdisciplinary research areas.
Strategic Measures
  • Strengthen industryacademia collaboration and technology transfer offices in universities.
  • Expand deep-tech focused venture funds and blended finance instruments.
  • Fast-track approval of national deep tech policy for coherent ecosystem support.
  • Promote global partnerships in frontier technologies while safeguarding IP.


  • RBI proposed framework to compensate online fraud victims up to 25,000, targeting small-value digital payment frauds, reflecting regulatory response to rising cybercrime in digital financial ecosystem and UPI expansion.
  • Proposal shifts burden partly to banks and institutions, signalling stronger consumer protection regime amid rapid growth of digital payments, fintech usage, and cashless economy adoption across India.

Relevance

GS 3 (Economy)

  • Digital payments ecosystem, fintech regulation, financial stability and consumer confidence.

GS 3 (Internal Security / Cybersecurity)

  • Cybercrime trends, digital fraud risks, need for cyber resilience and financial data protection.
Cyber Fraud Meaning
  • Cyber financial fraud involves unauthorised digital transactions through phishing, OTP compromise, social engineering, or malware, exploiting gaps in user awareness, digital hygiene, and platform-level security safeguards.
  • RBI treats digital payment safety as core to payment system integrity, governed under Payment and Settlement Systems Act, 2007, ensuring trust, stability, and consumer confidence in electronic transactions.
Compensation Structure
  • Victims of small-value online frauds may receive compensation up to ₹25,000, focusing on frequently occurring low-ticket digital frauds affecting large number of retail users.
  • Both bank and customer share liability, each bearing 15% of transaction value, while RBI-funded Depositor Education and Awareness (DEA) Fund covers remaining eligible compensation portion.
  • Example-based approach ensures proportional relief; if fraud loss is below ₹25,000, compensation aligns with defined percentage-sharing formula rather than full unconditional reimbursement.
  • Framework covers cases even where customers inadvertently share credentials, recognising modern fraud complexity and shifting toward victim-sensitive regulatory stance.
Governance Framework
  • Compensation financed through Depositor Education and Awareness Fund, created by RBI using unclaimed deposits, primarily aimed at depositor protection and financial literacy promotion.
  • RBI and banks will conduct due diligence checks, ensuring fraud legitimacy and preventing misuse, balancing consumer protection with moral hazard concerns.
  • Framework emphasises shared responsibility model, encouraging both institutional safeguards and consumer vigilance in digital transactions.
Systemic Importance
  • Strengthens trust in digital payments ecosystem, crucial as India leads globally in real-time digital transactions volume, particularly through UPI-driven retail payments revolution.
  • Enhances consumer confidence, supporting government push toward less-cash economy, financial inclusion, and fintech-led innovation.
  • Reinforces RBI’s role as financial consumer protector, not merely monetary authority, expanding regulatory scope in digital finance governance.
Citizen Protection
  • Protects vulnerable users like elderly and first-time digital adopters, who face higher cyber fraud risks due to limited digital literacy.
  • Ethical governance principle of fairness and victim protection reflected in partial compensation even when user negligence exists.
Structural Concerns
  • Risk of moral hazard, where guaranteed compensation may reduce consumer caution and digital hygiene practices.
  • Verification complexity and dispute resolution delays may burden banks and regulators.
  • Fraud detection remains reactive rather than preventive in many cases.
  • Cybercriminal innovation evolves rapidly, outpacing regulatory responses.
Strategic Measures
  • Strengthen real-time fraud detection systems, AI-driven monitoring, and transaction alerts to prevent frauds before loss occurs.
  • Expand nationwide digital financial literacy campaigns on phishing, OTP safety, and secure banking practices.
  • Improve coordination between RBI, banks, NPCI, and law enforcement for rapid response and fund recovery.
  • Develop clearer liability frameworks for fintech intermediaries and third-party platforms.


  • RBIs Monetary Policy Committee kept repo rate steady at 5.25% while raising FY26 GDP and inflation projections, indicating cautious optimism about growth alongside evolving inflation dynamics.
  • Decision reflects RBI’s attempt to balance price stability and growth support, amid changing global monetary conditions and domestic demand patterns.

Relevance

GS 3 (Economy)

  • Inflation targeting, interest rates, liquidity management, monetary transmission, macroeconomic stability.

GS 2 (Polity & Governance)

  • Institutional autonomy of RBI, rule-based policymaking, accountability mechanisms.
Legal Framework
  • Monetary Policy Committee (MPC) established under RBI Act, 1934 (amended 2016) to institutionalise rule-based, transparent, and accountable monetary policy decision-making in India.
  • MPC consists of 6 members — 3 from RBI and 3 government nominees, with RBI Governor as Chairperson holding casting vote in case of tie.
  • India follows Flexible Inflation Targeting (FIT) framework with mandated CPI target of 4% ±2% (2–6%), notified by Government every five years.
  • RBI must publish Monetary Policy Report and explain failure if inflation remains outside target band for three consecutive quarters.
Core Concepts
  • Repo rate is the rate at which RBI lends short-term funds to commercial banks against government securities, serving as primary monetary policy signalling tool.
  • Changes in repo rate influence lending rates, deposit rates, liquidity, credit demand, and overall economic activity, forming core of monetary transmission mechanism.
  • Other policy rates include Reverse Repo Rate, Standing Deposit Facility (SDF), and Marginal Standing Facility (MSF) forming liquidity adjustment framework.
  • Monetary policy stance can be accommodative, neutral, or tightening, depending on macroeconomic priorities.
Price Stability Context
  • Inflation projections revised upward for FY26, reflecting evolving food price pressures, energy price trends, and demand recovery.
  • Benign core inflation provides room for growth support, while food inflation remains structurally volatile due to monsoon dependence and supply-side rigidities.
  • Anchored inflation expectations improve real income stability and investor confidence.
  • RBI’s primary mandate remains price stability while keeping growth in mind.
GDP Projections
  • Upward revision in GDP growth projections signals confidence in domestic demand, government capex push, and resilient services sector.
  • India remains among fastest-growing major economies, supported by structural reforms and demographic advantage.
  • Credit growth and private consumption remain key growth drivers.
  • Global slowdown risks and trade uncertainties remain external constraints.
Policy Credibility
  • Predictable rate decisions enhance policy credibility and financial market stability, reducing volatility in bond and equity markets.
  • Supports investment planning and macroeconomic stability.
  • Reinforces RBI’s reputation as credible inflation-targeting central bank.
  • Strengthens rule-based macroeconomic governance.
Structural Concerns
  • Food inflation sensitivity to climate shocks complicates monetary control.
  • Global oil price volatility impacts imported inflation.
  • Tight policy may moderate private investment.
  • Transmission lags reduce immediate policy effectiveness.
Strategic Measures
  • Maintain data-driven, flexible policy approach amid uncertainty.
  • Improve food supply management to tackle structural inflation.
  • Deepen financial markets for smoother transmission.
  • Strengthen monetary-fiscal coordination.


  • India targets 50 million hectares under agroforestry by 2050, yet financing remains inadequate, with <5% of 20 lakh crore annual agricultural credit flowing to agroforestry despite climate and income benefits.
  • Discussions at South Asian Agroforestry & Trees Outside Forests (AF-TOF) Congress 2026 highlighted structural financing gaps, policy awareness deficits, and regulatory hurdles limiting agroforestry expansion across South Asia.

Relevance

GS 3 (Environment & Climate)

  • Climate mitigation, carbon sequestration, land restoration, sustainable agriculture.

GS 3 (Agriculture & Economy)

  • Farmer income diversification, timber imports, agro-based industries, rural resilience.
Meaning of Agroforestry
  • Agroforestry integrates trees, crops, and sometimes livestock on the same land management unit, combining ecological and economic functions to improve productivity, sustainability, and climate resilience.
  • Recognised by FAO as sustainable land-use system that enhances biodiversity, soil fertility, microclimate regulation, and diversified farmer incomes while reducing land degradation.
  • Includes systems like agri-silviculture, silvo-pastoral, and agri-horticulture, depending on tree–crop–livestock combinations suited to agro-climatic zones.
  • Bridges agriculture and forestry sectors, falling under Trees Outside Forests (TOF) category in policy discourse.
Institutional Basis
  • India launched National Agroforestry Policy, 2014, becoming first country with dedicated agroforestry policy, aiming to integrate tree cultivation with farming systems.
  • Policy seeks to simplify felling and transit regulations, improve market access, and promote research, extension, and institutional credit support.
  • Agroforestry aligns with National Forest Policy, 1988 goal of one-third geographical area under tree/forest cover.
  • Linked with schemes like Sub-Mission on Agroforestry (SMAF) under National Mission for Sustainable Agriculture.
Key Figures
  • India has nearly 28 million hectares under agroforestry, contributing significantly to tree cover outside traditional forests.
  • Agroforestry systems hold nearly 20% of Indias national carbon stocks, demonstrating climate mitigation potential.
  • India imports over $7 billion worth of wood annually, indicating domestic production gap and livelihood opportunity for farmers.
  • Around 86% Indian farmers are small and marginal, making diversified income sources like agroforestry economically relevant.
Livelihood & Trade Impact
  • Agroforestry provides diversified income streams through timber, fruits, fodder, fuelwood, and non-timber forest products, reducing farm income volatility.
  • Reduces import dependence on timber and wood products, improving trade balance and domestic value chains.
  • Long-term tree assets function as natural savings and insurance for rural households.
  • Supports agro-processing and rural industries linked to wood and tree-based products.
Ecological Benefits
  • Enhances carbon sequestration, supporting India’s NDC commitments under Paris Agreement.
  • Reduces soil erosion, improves soil organic carbon, and enhances water retention.
  • Acts as buffer against climate variability through microclimate regulation and windbreak effects.
  • Studies show agroforestry helps avoid millions of tonnes of GHG emissions annually.
Structural Constraints
  • Long gestation periods (530 years) discourage formal credit as returns are delayed compared to seasonal crops.
  • Land tenure complexities and lack of clear tree ownership rights reduce creditworthiness and farmer confidence.
  • Trees often not accepted as collateral by banks, limiting institutional finance access.
  • Limited farmer awareness about harvesting and transit rules restricts adoption.
Strategic Measures
  • Develop dedicated agroforestry credit lines with longer repayment cycles matching tree growth periods.
  • Integrate agroforestry with carbon markets and green finance mechanisms for additional revenue streams.
  • Simplify tree felling and transit regulations across states for market confidence.
  • Promote digital traceability and private-sector procurement linkages.


  • Blyths tragopan highlighted in conservation discourse as a rare Himalayan pheasant facing habitat loss and hunting pressure, drawing attention to indicator species role in fragile Eastern Himalayan ecosystems.
  • Renewed focus arises from biodiversity reporting and conservation discussions stressing indicator species importance for monitoring mountain ecosystem health, forest integrity, and climate-sensitive habitats in Northeast India.

Relevance

GS 3 (Environment & Biodiversity)

  • Endangered species conservation, Eastern Himalayan biodiversity hotspot, indicator species concept.

GS 3 (Ecology)

  • Habitat fragmentation, climate-sensitive mountain ecosystems, forest ecology.
Species Identity
  • Blyths tragopan is a pheasant species (Family: Phasianidae), named after Edward Blyth, characterised by strong sexual dimorphism, elaborate male display features, and cryptic female camouflage for nesting survival.
  • Belongs to genus Tragopan, which includes Satyr, Temminck’s, Western, and Blyth’s tragopans, collectively known for ornate plumage, inflatable throat lappets, and horn-like display structures during breeding.
  • Medium-sized galliform bird; male length 6570 cm, female about 59 cm, showing size dimorphism alongside colour differences typical of pheasant reproductive strategies.
Geographic Range
  • Distributed across Bhutan, Northeast India, northern Myanmar, southeastern Tibet, and Yunnan (China), forming a fragmented Eastern Himalayan and Indo-Burma range.
  • In India, found mainly in Arunachal Pradesh, Nagaland, Manipur, and Mizoram, particularly within undisturbed montane broadleaf forests rich in bamboo and rhododendron understory.
  • Shows altitudinal migration, occupying 1,400 m in winter and up to 3,300 m in summer, responding to snowfall, food availability, and seasonal vegetation patterns.
  • Stronghold populations survive in areas like Dihang-Dibang Biosphere Reserve, indicating importance of large intact forest landscapes for species persistence.
Indicator Role
  • Recognised as an indicator species, reflecting health of Eastern Himalayan montane forests, which are among Asia’s richest biodiversity hotspots and climate-sensitive ecosystems.
  • Presence indicates intact understorey vegetation, minimal disturbance, and high habitat quality, useful for ecological monitoring and conservation prioritisation.
  • As a forest-floor feeder, contributes to seed dispersal and ecological balance, supporting forest regeneration processes.
Legal & Global Status
  • Listed as Vulnerable on IUCN Red List, indicating high risk of population decline due to habitat loss and hunting pressures.
  • Included in Schedule I of Wildlife (Protection) Act, 1972, granting highest legal protection in India against hunting and trade.
  • Also listed under CITES Appendix I, prohibiting international commercial trade and recognising global conservation concern.
  • Estimated global population below 10,000 individuals, fragmented across isolated habitats, increasing extinction vulnerability.
Anthropogenic Pressures
  • Habitat fragmentation from hydropower projects, road construction, and settlements disrupts forest continuity critical for species survival.
  • Shifting cultivation (jhum) reduces mature broadleaf forests, replacing them with secondary vegetation unsuitable for tragopan nesting and foraging.
  • Hunting for meat, feathers, and cultural uses remains localised threat despite legal protections.
  • Low reproductive rate and secretive behaviour slow natural population recovery.
Protection Strategies
  • Protected Areas, community reserves, and biosphere reserves form primary conservation framework for tragopan habitats in Northeast India.
  • Community-based conservation models in Nagaland demonstrate local stewardship and reduced hunting pressure through awareness and eco-cultural pride.
  • Surveys and population monitoring needed for evidence-based conservation planning and adaptive management.
  • Awareness campaigns critical to reduce illegal bird trade and bushmeat demand.
Strategic Measures
  • Expand community-led conservation and eco-tourism, linking livelihoods with species protection to build local incentives.
  • Strengthen habitat protection in Eastern Himalayas through landscape-level conservation planning.
  • Promote scientific monitoring using camera traps and acoustic surveys for better population estimates.
  • Integrate tragopan conservation within biodiversity hotspot and climate adaptation strategies.

February 2026
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