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With reference to agriculture in India, how can the technique of 'genome sequencing', often seen in the news, be used in the immediate future ? 1. Genome sequencing can be used to identify genetic markers for disease resistance and drought tolerance in various crop plants. 2. This technique helps in reducing the time required to develop new varieties of crop plants. 3. It can be used to decipher the host-pathogen relationships in crops. Select the correct answer using the code given below :
Explanation
The correct answer is option D because all three statements are valid applications of genome sequencing in agriculture.
**Statement 1 is correct**: Plant genome sequencing for crop improvement enables the discovery of genes and molecular markers associated with diverse agronomic traits[1], including disease resistance and drought tolerance. Research has identified key quantitative trait loci (QTLs) associated with drought tolerance in crops like rice and wheat[2], demonstrating practical application of this technique.
**Statement 2 is correct**: Gene editing can reduce the breeding time needed to produce a new variety or breed and reduce research and development costs[3]. More specifically, marker-assisted selection can reduce the breeding cycle by up to 30% compared to traditional methods[4], showing how genome sequencing accelerates variety development.
**Statement 3 is correct**: Genome sequencing provides the foundational data needed to understand disease mechanisms in crops. Gene editing a critical site in the rice genome enables generation of new rice varieties with durable rice blast resistance, and a small, targeted[5] deletion edit in the rice genome results in superior improved resistance[5] to bacterial blight, illustrating how genomic understanding helps decipher host-pathogen relationships.
Sources- [1] https://openknowledge.fao.org/server/api/core/bitstreams/87f4a4f0-59e0-4e15-8039-6bda2802370b/content
- [2] https://ijnrd.org/papers/IJNRD1711018.pdf
- [3] https://openknowledge.fao.org/server/api/core/bitstreams/050929c7-2d10-4f2c-97d4-eb2294b095a1/content
- [4] https://ijnrd.org/papers/IJNRD1711018.pdf
- [5] https://openknowledge.fao.org/server/api/core/bitstreams/050929c7-2d10-4f2c-97d4-eb2294b095a1/content
PROVENANCE & STUDY PATTERN
Guest previewThis is a classic 'Science Logic' question, not a 'Book Memory' one. Standard books (Geography/Economy) describe the *problems* (drought, pests, slow breeding), while Science Current Affairs provides the *solution* (Genomics). If a technology is revolutionary, its applications are usually broad and positive; don't hunt for these specific sentences in a textbook.
This question can be broken into the following sub-statements. Tap a statement sentence to jump into its detailed analysis.
- Statement 1: Can genome sequencing be used in Indian agriculture to identify genetic markers for disease resistance in crop plants?
- Statement 2: Can genome sequencing be used in Indian agriculture to identify genetic markers for drought tolerance in crop plants?
- Statement 3: Does genome sequencing help reduce the time required to develop new crop varieties in Indian agriculture?
- Statement 4: Can genome sequencing be used in Indian agriculture to decipher host–pathogen relationships in crop plants?
- Directly states that plant genome sequencing enables discovery of genes and molecular markers for crop improvement.
- Implies sequencing can be used to find markers linked to agronomic traits such as disease resistance.
- Explains that availability of genome sequence data accelerates identification of genes/loci for disease resistance.
- Shows that advanced genomic tools improve precision in locating resistance loci, which supports marker identification.
- Provides India-relevant examples of genetic mapping and molecular tagging in rice (e.g., accessions from Madhya Pradesh).
- Specifically mentions molecular tagging of the Xa-5 gene conferring resistance to bacterial blight of rice, showing practical marker identification.
Describes crop genetic diversity and the national gene bank (NBPGR) that conserves accessions as base collections.
A student could reason that conserved diverse accessions are targets for analysis (e.g., sequencing) to find alleles/markers associated with desirable traits like disease resistance.
Defines GM crops as plants whose DNA has been modified and lists 'resistance to bacteria, virus and other components' as a benefit.
Combining this with basic knowledge that DNA-level information (from sequencing) guides genetic modification suggests sequencing could reveal candidate resistance genes/markers for breeding or engineering.
States that crop disease problems may be tackled by developing disease-resistant seeds (as an alternative to chemicals).
A student could infer that identifying genetic bases of resistance (via sequencing/markers) is a logical scientific route to develop such resistant seeds.
Highlights the urgent need for developing more efficient varieties and notes 'new virulence of diseases' as a challenge.
This motivates use of modern tools (e.g., sequencing to find resistance alleles) to respond to emerging disease threats.
Repeats that GM crops involve modification of DNA for agricultural use.
Implies that DNA-level knowledge is central to crop improvement, so sequencing to discover useful genetic variants is a plausible method to pursue.
- Explicitly lists genome sequencing alongside marker-assisted selection and gene editing as genomic technologies used to develop varieties that withstand abiotic stresses.
- Directly links these genomic approaches to the identification of QTLs associated with drought tolerance in important Indian staples like rice and wheat.
- Provides specific examples of QTL regions linked to drought-related traits across major crops, demonstrating practical marker identification.
- States that GWAS has been successfully used (by IRRI) to identify QTLs for drought tolerance in rice, showing sequencing/genomic analysis application.
- Describes genomic selection (GS) and CRISPR/Cas9 as tools to improve drought tolerance traits, indicating genomic data can guide breeding/editing.
- Quantifies the potential benefit of genomic approaches (e.g., GS increasing genetic gain), supporting their effectiveness for trait identification and improvement.
Describes crop genetic diversity and existence of a national gene bank (NBPGR) conserving accessions—implies stored genetic resources that can be studied.
A student could infer that sequencing accessions from the gene bank could reveal alleles associated with drought tolerance.
Notes that bajra is 'the most drought-and heat tolerant crop' and that improved varieties/hybrids are diverse for maturity and adapted to geography.
One could extend this to suggest comparing genomes of drought-tolerant and susceptible varieties to find markers linked to tolerance.
Defines GM crops as plants whose DNA has been modified using genetic engineering and mentions regulatory framework—shows genetic approaches are applied in Indian agriculture.
This suggests molecular/genetic techniques (like sequencing) are within the agricultural biotechnology toolkit and could be used to identify useful genetic elements.
States certain regions grow hardy and drought-resistant crops and practice soil moisture conservation—indicates presence of crop-level drought adaptations.
A student could reason that these locally adapted crops/landraces are candidates for genomic comparison to find drought-related markers.
Lists drought-prone areas of India and highlights the frequency and impact of drought on crops—establishes a clear need for drought-tolerant varieties.
Knowing the geographic distribution of drought pressure, one might target sequencing of varieties from these areas to identify adaptive genetic markers.
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- Explicitly links whole genome sequencing to more refined tools that increase breeding efficiency.
- States gene editing (enabled by genomic knowledge) can reduce breeding time and R&D costs.
- Notes that gene editing and CRISPR substantially reduce research costs versus traditional methods.
- Directly states that employing gene editing considerably reduces the time needed to develop a new crop with improved traits.
- Describes genomic technologies (MAS, GS) that facilitate identification of key traits and speed breeding.
- Provides a quantitative example: MAS can reduce the breeding cycle by up to 30% compared to traditional methods.
Describes the role of hybridisation and introduction of exotic high‑yielding varieties (HYVs) in the 1960s as a technological pathway that rapidly changed seed availability.
A student could compare the time taken historically for hybridisation/introduction with the potential of modern molecular tools (like sequencing) to accelerate selection and introgression of traits.
States that HYVs plus 'package technology' (inputs and management) were key to rapid adoption and yield gains, implying technology-driven variety development can have large, quick impacts.
One could infer that newer technologies (genomics) that improve breeding efficiency might similarly shorten the time from development to impact if combined with appropriate agronomic inputs.
Notes that HYVs require modern farming tools and controlled irrigation for timely operations, showing that successful deployment of new varieties depends on complementary technologies and timely agronomic actions.
A student could reason that faster development via sequencing must be matched by on‑farm capabilities; compare regions with mechanisation to judge where quicker variety development would actually shorten adoption timelines.
Emphasises that new seeds need specific irrigation timing/quantity, indicating that varietal performance is tightly linked to environmental management.
Using this, one can test whether sequenced‑enabled breeding for drought or irrigation-use traits would reduce the time to produce varieties suitable for water‑limited Indian regions.
Shows that adoption of new seeds changed cropping rotations and land use patterns, meaning introduction speed of varieties can have broad, rapid systemic effects.
A student could extrapolate that if sequencing reduces breeding time, the pace of cropping‑pattern change and its socioeconomic effects could also accelerate, and then look for regional capacity to absorb such change.
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- Specifically states that plant genome sequencing enables discovery of genes and molecular markers tied to agronomic traits.
- Discovery of such genes/markers is directly relevant to understanding host resistance and susceptibility to pathogens.
- Describes increasing application of high-throughput DNA sequencing to genomes of commercially important organisms, including crops and pathogens.
- Notes that agricultural genomics research and large-scale sequencing of crop and plant genomes are underway, supporting use in host–pathogen studies.
- Gives concrete examples where genome knowledge (used via gene editing) produced disease-resistant rice varieties.
- Implying that understanding the crop genome (from sequencing) enables targeted interventions against pathogens, which presupposes deciphering host–pathogen relationships.
Defines that crop DNA encodes genetic information and notes GM crops can be engineered for resistance to bacteria and viruses, linking plant genetics to pathogen resistance.
A student could infer that comparing plant DNA (host) sequences with pathogen challenge data could reveal resistance genes and mechanisms.
Describes crop genetic diversity and the existence of a national gene bank (NBPGR) conserving accessions, indicating available germplasm resources and genetic variation for study.
One could extend this to sequencing gene-bank accessions to associate genetic variants with disease susceptibility or resistance across cultivars.
Notes control of soil-borne pathogens as an agronomic practice (clean tillage), demonstrating that pathogens are an acknowledged threat in cropping systems.
A student might reason that identifying the pathogens involved and their interactions with crop genotypes (via sequencing) could inform such control practices.
States that cropping sequences should avoid accentuating certain diseases, implying that host, pathogen and management interactions determine disease outcomes.
This suggests sequencing host varieties and monitoring pathogen populations across rotations could reveal patterns of pathogen adaptation to hosts.
Describes hybridisation and introduction of exotic varieties (Green Revolution), showing historical use of genetic approaches to change crop traits.
A student could extend this to modern genomic approaches: sequencing new varieties and pathogens to understand how introduced genetics affect host–pathogen dynamics.
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- [THE VERDICT]: Sitter (via Logic). While the term is technical, the options are generic 'good things' that advanced biology aims to achieve.
- [THE CONCEPTUAL TRIGGER]: Biotechnology in Agriculture (GS3 Mains Syllabus) applied to Prelims.
- [THE HORIZONTAL EXPANSION]: Memorize the 'Biotech Toolkit': 1. Marker Assisted Selection (MAS) = Speed. 2. CRISPR-Cas9 = Editing/Precision. 3. Transgenics (GM) = Foreign genes (Bt Cotton). 4. Metagenomics = Soil health analysis. 5. Biofortification = Nutrition (Golden Rice).
- [THE STRATEGIC METACOGNITION]: When reading about a new tech (AI, Nano, Genomics), map it to the syllabus sectors: Agriculture, Health, Energy. Ask 'How does this help a farmer?' (Answer: Faster seeds, less disease, drought proofing).
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References state that GM crops involve deliberate modification of plant DNA and list disease resistance as a benefit, linking molecular genetics to crop improvement.
High-yield concept for UPSC: questions often probe biotechnology applications in agriculture, biosafety regulation, and policy (e.g., GEAC). Mastering GM crop basics helps answer policy, ethical and technical questions and links to topics like food security and environment.
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 11: Agriculture - Part II > 11.8 Genetically Modified (GM) Crops > p. 342
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 25: Agriculture > Beneficial effects of weeds > p. 365
Sources mention developing disease-resistant seeds and use of plant protection chemicals as primary ways to tackle pests and diseases in crops.
Important for agriculture/Environment syllabus: understanding both genetic (seed development) and chemical (pesticides) approaches lets aspirants compare technological and management solutions, and prepare answers on integrated pest management and crop security.
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 9: Agriculture > 3. Plant Protection Chemicals > p. 48
- Indian Economy, Nitin Singhania .(ed 2nd 2021-22) > Chapter 9: Agriculture > Rice Production in India > p. 293
A national gene bank (NBPGR) conserves unique accessions as base collections, a resource for breeding and preserving genetic diversity relevant to disease resistance.
Crucial for questions on plant genetic resources, seed policy and breeding strategies; connects to plant breeding, biotechnology and resilience. Knowing institutional roles (gene banks) helps craft balanced policy/strategy answers.
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 9: Indian Biodiversity Diverse Landscape > 9.3.3. Crop genetic diversity > p. 158
References describe drought‑prone areas of India and mention drought‑tolerant crops (e.g., bajra, ragi, moong), which is the agronomic context for any question about drought tolerance in crops.
High-yield for UPSC: links physical geography (rainfall patterns, drought zones) with agricultural responses (crop choice, cropping patterns, moisture conservation). Mastering this helps answer questions on agrarian distress, adaptation measures, and regional cropping strategies; connects to disaster management and rural livelihoods.
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 9: Agriculture > b) Climate > p. 19
- Environment and Ecology, Majid Hussain (Access publishing 3rd ed.) > Chapter 12: Major Crops and Cropping Patterns in India > Bajra/Pearl-Millet (Pennisetum Typhoideum) > p. 27
- INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 3: Land Resources and Agriculture > Types of Farming > p. 26
The national gene bank (NBPGR) is cited as conserving unique accessions — foundational for breeding and any genetic-improvement efforts aimed at traits like drought tolerance.
Important for UPSC: shows how ex-situ conservation underpins crop-improvement policy and food security. Helps answer policy and science‑policy linkage questions (conservation vs utilisation), and is directly relevant when discussing sources of genetic variation for breeding drought‑tolerant varieties.
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 9: Indian Biodiversity Diverse Landscape > 9.3.3. Crop genetic diversity > p. 158
References mention GM crops, DNA modification, and regulatory bodies (GEAC), linking genetic approaches to crop improvement and the policy framework governing them.
High-yield for UPSC: covers biotechnology in agriculture, regulatory institutions and public policy. Useful for questions on GM crops, biosafety, and the governance of agricultural biotechnology; helps frame debates on technology adoption versus regulation.
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 25: Agriculture > Beneficial effects of weeds > p. 365
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 11: Agriculture - Part II > 11.8 Genetically Modified (GM) Crops > p. 342
References describe the introduction and rapid diffusion of HYVs (wheat, rice, maize) as the primary means by which new, higher-yielding crop varieties transformed Indian agriculture.
High-yield variety development and diffusion is a high-yield UPSC topic: it connects agricultural technology, food security, rural employment, and policy responses (e.g., input subsidies, seed reforms). Mastering this helps answer questions on historical agricultural change, technology adoption, and policy impacts. It enables comparative questions on methods of increasing productivity (breeding, HYVs, biotechnology).
- INDIA PEOPLE AND ECONOMY, TEXTBOOK IN GEOGRAPHY FOR CLASS XII (NCERT 2025 ed.) > Chapter 3: Land Resources and Agriculture > Agricultural Development in India > p. 36
- Geography of India ,Majid Husain, (McGrawHill 9th ed.) > Chapter 9: Agriculture > Green Revolution in India > p. 44
Discover the small, exam-centric ideas hidden in this question and where they appear in your books and notes.
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Metagenomics. While 'Genome Sequencing' looks at one organism, 'Metagenomics' looks at the genetic material of an entire community (like soil microbes) directly from the environment. Expect a question on how Metagenomics helps in assessing soil health or ocean biodiversity.
The 'Futuristic Possibility' Heuristic: In Science & Tech, it is scientifically very difficult to prove that a technology can *never* be used for X. Unless an option is absurd (e.g., 'Genome sequencing causes rainfall'), assume the potential exists. Broad, positive application statements are 90% likely to be correct.
Climate Smart Agriculture (GS3 Environment). Genome sequencing is the primary tool for 'Climate Adaptation'—identifying heat/drought-resistant genes to secure food security in a warming world.
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