View answer copy →Answered a very similar question
Their question: “Biotechnology in enhancing agricultural productivity: role and concerns (15m)”
The topper details how biotechnology raises agricultural productivity and farmer living standards along with its concerns, directly serving this PYQ.
Key learnings from their answer
- ›He loads precise, sourced numbers instead of vague claims: Gini coefficient 0.462 to 0.43 (SBI), logistics cost 14-15% of GDP, roadways carrying 68% of freight, NPK use at 8:3:1 against the ideal 4:2:1, ICAR's 100+ climate-resilient varieties, and the space market at ~$8bn growing to $44bn by 2033 -> Memorise a few hard figures with their source per topic; one cited statistic (e.g. '8:3:1 vs ideal 4:2:1') signals depth far more than a paragraph of generalities.
- ›He pairs cutting-edge, topic-specific examples that prove current awareness rather than recycled stock cases: Agnibaan by AgniKul and the Skyroot 'Kalam' cryogenic engine for the space sector (Q5), Sulli Deals + AIIMS DDoS + DRDO website attack for cyber threats (Q9), and Golden Triangle/Golden Crescent geography for drug trafficking (Q10) -> Stock 2-3 fresh, named examples per likely topic so each answer is anchored in something specific and verifiable, not a generic 'schemes have been launched'.
- ›He carves every answer into demand-wise underlined sub-headings that mirror the exact parts of the question - e.g. Q4 on cropping patterns splits into 'Socio-economic consequences' then 'Consequences on environment', and Q2 on forex into 'Dependence on quantity' vs the strategy/sources angle -> Read the question for its distinct demands and turn each one into a literal heading, so the examiner sees you addressed every part rather than writing one undifferentiated block.
What they cited: ICAR 100+ climate-resilient varieties; Bt-cotton, Bt-Brinjal, GM-Mustard; CRISPR-Cas9, TALENs, Zinc Finger Nuclease; PCR/lumpy skin disease; Monsanto; GEAC under MoEFCC; FAO (Q15)
