UPSC Daily Current Affairs - 22nd January 2026
Relevance:
GS Paper I – Indian Society, Rural Livelihoods, Agriculture
GS Paper III – Agriculture, Livestock Economy, Climate Change, Sustainable Development
Important Keywords
For Prelims:
- Cattle Rearing, Indigenous Cattle, Non-Market Uses, Draught Power, Dung Economy, Dairy Sector, Feed and Fodder, Climate Stress
For Mains:
- Rural Livelihood Systems, Livestock Economy, Smallholder Agriculture, Climate Resilience, Agricultural Policy, Sustainable Livestock Management
Why in News?
A new study released on 20 January 2026 by the Council on Energy, Environment and Water reveals that nearly 30 million Indian cattle-rearing households do not sell milk, challenging the long-held assumption that bovine rearing in India is primarily a dairy-driven economic activity. Instead, a significant share of households prioritise non-market uses such as dung, draught power and income from selling animals.
Key Findings of the Study
According to the study Cattle and Community in a Changing Climate (2026):
- 38% of cattle rearers (around 30 million households) do not sell milk
- 31% still rear cattle mainly for household milk consumption
- About 5.6 million households rear cattle entirely for non-dairy purposes
- In nine out of 15 states, less than half of rearers cited milk sales as their primary motivation
These findings underline that cattle rearing in India functions as a multi-purpose livelihood system, not merely a dairy enterprise.
Regional Patterns in Cattle Rearing
The trend of non-milk-oriented cattle rearing is particularly pronounced in certain states:
- Jharkhand: 71% of cattle rearers do not prioritise milk sales
- West Bengal & Himachal Pradesh: Over 50% do not sell milk
- Maharashtra & West Bengal: Around 15% rear cattle entirely for non-milk purposes
Even in states with relatively formal dairy sectors, such as Maharashtra and Karnataka, more than 30% of rearers prioritise non-milk benefits, mainly dung and draught power.
Milk vs Non-Market Uses of Cattle
While milk contributes significantly to India’s economy—supporting over 80 million livelihoods and contributing 5% to GDP—the study highlights that many households value cattle for:
- Organic manure (dung)
- Draught power for agriculture
- Risk buffering through sale of animals
- Household nutrition
- Socio-cultural and religious reasons
In states such as Himachal Pradesh, Andhra Pradesh and Assam, more than 15% of rearers cited socio-cultural motivations as their foremost reason for keeping cattle.
Nature of Herd Ownership in India
The study reveals a predominantly smallholder-driven livestock structure:
- 50% of rural cattle rearers own just one or two animals
- Small herds dominate hilly, central and eastern regions
- Larger herds (over five animals) are more common in Gujarat, Rajasthan, Maharashtra, Tamil Nadu and Punjab
- 82% of households own only one bovine type, limiting diversification
This highlights the central role of indigenous cattle in integrated farming systems, particularly for non-market uses.
Productivity and Smallholder Constraints
Despite their large numbers, smallholders contribute disproportionately less to output:
- 29% of total milk production
- 22% of total milk sales
Key constraints include:
- Small herd sizes
- Feed and fodder shortages
- Limited access to improved breeds
- Agro-climatic stress
Low diversity in animal type and breed increases vulnerability to climatic and economic shocks.
Feed and Fodder Challenges
Feed and fodder emerged as one of the most pressing challenges:
- Nearly 75% of cattle rearers cited affordability as a major concern
- Declining grazing lands reported in Assam, Punjab, Madhya Pradesh and Odisha
- Acute shortage of land for fodder cultivation in Uttar Pradesh, Gujarat and Bihar
Despite these challenges, adoption of interventions such as:
- Silage preparation, and
- Ration-balancing programmes
remained extremely low, at around 5% each.
Climate Stress and Livestock Vulnerability
Climate change is already affecting livestock health and productivity:
- 54% of buffalo rearers reported climate impacts
- 50% of crossbred cattle rearers affected
- 41% of indigenous cattle rearers impacted
Common impacts included:
- Increased disease incidence
- Animal mortality
- Behavioural stress such as restlessness
These impacts are particularly concerning as many households plan to expand herds, often by increasing the same bovine type they already own.
Policy Implications
The study argues that India’s livestock policies remain overly milk-centric, overlooking the diverse roles cattle play in rural livelihoods. According to Abhishek Jain, aligning public investment with ground realities requires:
- Moving away from uniform dairy strategies
- Designing differentiated, region-specific livestock policies
- Accounting for climate risks and smallholder constraints
Such an approach would improve policy acceptance, budget effectiveness and preserve India’s diverse cattle-rearing systems.
Conclusion
The finding that 30 million Indian cattle-rearing households do not sell milk fundamentally challenges conventional assumptions about India’s dairy economy. Cattle in rural India function not merely as milk producers, but as multi-functional assets supporting nutrition, farming, culture and climate resilience. Recognising and integrating this diversity into livestock policy is essential for building a sustainable, inclusive and climate-resilient rural economy.
UPSC PYQ
Q. Consider the following statements about the Rashtriya Gokul Mission: (UPSC 2025)
- It is important for the upliftment of rural poor as majority of low-producing indigenous animals are with small and marginal farmers and landless labourers.
- It was initiated to promote indigenous cattle and buffalo rearing and conservation in a scientific and holistic manner.
Which of the statements given above is/are correct?
- I only
- II only
- Both I and II
- Neither I nor II
Answer: C
Explanation: Statement 1 – Correct
- In India, more than 80% of indigenous (low-producing) cattle are owned by:
- Small and marginal farmers
- Landless labourers
- These groups depend on cattle for:
- Supplementary income
- Livelihood security
- The Rashtriya Gokul Mission (RGM) specifically targets this section by:
- Improving indigenous breeds
- Providing better breeding services
- Hence, it directly contributes to the upliftment of the rural poor.
Statement 2 – Correct
- The mission was launched in 2014.
- Its objectives include:
- Conservation and development of indigenous cattle breeds
- Scientific breeding and genetic improvement
- Increasing productivity while preserving native breeds
- It adopts a holistic approach through:
- Breed improvement programmes
- Artificial insemination at farmers’ doorsteps
- Establishment of Gokul Grams
- Therefore, the statement is factually correct.
CARE MCQ
Q. With reference to greenhouse gas emissions from livestock in India, consider the following statements:
- More than 90% of India’s livestock-related greenhouse gas emissions arise from enteric fermentation.
- Exotic and crossbred cattle emit more methane per animal annually than indigenous cattle.
- Despite being fewer in number than cattle, buffaloes contribute over half of India’s total milk production.
Which of the statements given above are correct?
- 1 and 2 only
- 1 and 3 only
- 2 and 3 only
- 1, 2 and 3
Answer: D
Explanation:
- Statement 1 is correct: Over 90% of livestock emissions in India come from enteric fermentation, i.e., methane released during digestion in the rumen.
- Statement 2 is correct: Exotic and crossbred cattle emit about 43 kg of methane per animal per year, which is significantly higher than 28 kg for indigenous cattle due to higher feed intake and body size.
- Statement 3 is correct: Although buffaloes are fewer than cattle, they now contribute more than 50% of India’s milk production, reflecting a shift toward buffalo rearing for higher productivity and resilience.
Relevance:
GS Paper III – Science & Technology, Developments and their applications and effects in everyday life; Awareness in the fields of Artificial Intelligence.
Important Keywords
For Prelims:
- AI Companions, Synthetic Personas, Loneliness Economy, Emotional AI, Data Persuasion, Behavioural Nudging, AI Governance
For Mains:
- Social Contract and Technology, Emotional Dependency, AI and Mental Health, Ethics of Artificial Intelligence, Human–Machine Relationships, Digital Surveillance vs Persuasion, Technology and Social Isolation, Corporate Control of Intimacy, Regulation of Emerging Technologies
Why in News?
- Growing global concern over emotional, romantic, and therapeutic relationships with AI chatbots
- Rapid rise of AI companions marketed as solutions to loneliness
- Debate on data privacy, emotional manipulation, and lack of regulation
- Raises questions on social cohesion, mental health, ethics, and governance of AI
Context & Contemporary Relevance
- AI companions are increasingly used as friends, therapists, romantic partners, and confidants
- Loneliness has emerged as a structural social problem, especially among youth and elderly
- Tech companies are monetising loneliness, creating a “loneliness economy”
- India is witnessing a parallel rise in AI-based mental health and emotional support apps
- Direct relevance to Digital Ethics, AI Governance, Mental Health Policy, and Data Protection
What Are AI Companions?
- AI companions are synthetic personas designed to simulate emotional relationships
- They use:
- Natural language processing
- Memory of past interactions
- Emotional mirroring
- Constant availability (24/7)
- They blur the line between tool and social being
Why Are AI Companions Becoming Popular?
1. Social Factors
- Decline of traditional support systems (family, community, religion, unions)
- Urban isolation, precarious work, overstretched mental health services
- Loneliness linked to serious health risks (comparable to heavy smoking)
- AI fills the emotional vacuum, especially during:
- Grief
- Breakups
- Illness
- Lockdowns
- Depression
2. Commercial Factors
- Companies target vulnerable users through algorithmic advertising
- AI girlfriends marketed to lonely men (manosphere targeting)
- Cheap, accessible, frictionless “solution” to social isolation
- Engagement-driven business model rewards emotional dependency
How AI Relationships Differ from Earlier Non-Human Bonds
- Unlike books, pets, or fictional characters, AI responds back
- AI remembers, adapts, validates, and evolves
- Creates a feedback loop:
- More sharing → more personalisation → deeper attachment
- Removes human limits:
- No fatigue
- No conflict
- No negotiation
- Risks reshaping expectations from real relationships
Individual-Level Risks
- Emotional dependency
- Withdrawal from human relationships
- Reduced tolerance for disagreement and effort
- Anxiety and guilt when not engaging with AI
- Difficulty forming future human bonds
- AI becomes a substitute rather than supplement
Societal-Level Risks
- Erosion of the social contract
- One-sided, instrumentalised interactions replace mutual care
- Decline in empathy, responsibility, and collective life
- Risk of institutional substitution:
- Elder care
- Child care
- Rehabilitation
- AI used as cost-cutting tool instead of human care
Data, Privacy and Manipulation Concerns
- AI companions collect:
- Emotional triggers
- Fears and insecurities
- Political opinions
- Relationship patterns
- Risks:
- Behavioural nudging
- Targeted emotional advertising
- Psychological manipulation
- Corporate persuasion
- Problem shifts from surveillance to influence
Regulatory Gaps
- Relationship AI treated as entertainment, not care infrastructure
- Lack of:
- Transparency in training data
- Restrictions on monetising intimacy
- Oversight on manipulative design
- Ethical boundaries in therapy, education, elder care
Way Forward: How to Regulate AI Companions
1. Recognise Relationship AI as Social Infrastructure
- Regulate like health and social services
- Not merely as consumer tech
2. Design Safeguards
- Ban emotional dependency nudges
- Mandatory transparency of data usage
- Limits on engagement-maximisation techniques
3. Institutional Boundaries
- Prohibit substitution of human care in:
- Elder care
- Child care
- Therapy
- Allow only as supplement, not replacement
4. Alternative AI Models
Promote public, cooperative, non-profit AI systems
Reduce profit-driven emotional exploitation
CARE MCQ
Q. With reference to AI companions, consider the following statements:
- AI companions simulate emotional reciprocity and adapt to users over time.
- They reduce loneliness without any social or psychological risks.
- AI companions can collect deeply personal emotional data over long periods.
Which of the statements given above is/are correct?
A. 1 and 2 only
B. 1 and 3 only
C. 2 and 3 only
D. 1, 2 and 3
Answer: B
Explanation:
- Statement 1 is correct: AI companions are adaptive and simulate reciprocity.
- Statement 2 is incorrect: They pose risks of dependency and social withdrawal.
- Statement 3 is correct: They gather sensitive emotional and behavioural data.
