
Project Objectives
Project Scope
The project will introduce climate-resilient and nutritious rice inbreds and hybrids for Madhya Pradesh and promote their wide-scale adoption by farmers. It also aims to increase rice productivity in the face of limate change, thereby enhancing farmers’ income and living standards, particularly in tribal regions. This ensures the state’s food supply, as well as economic and nutritional security.
The project specifically aims to:
- Delineate the rice production geographies and characterize market segments to identify opportunities in the optimum cropping systems using Geospatial tools;
- For adaptation trials, introduce IRRI’s high-yielding climate-resilient, nutritious, low-GI rice inbreds and hybrids;
- Develop and breed superior hybrid combinations through AI & genomic tools by utilizing IRRI’s and JNKVV’s parental lines for two-and three-line hybrids under direct seeded and transplanted conditions;
- Evaluate, identify, release, and commercialize the ideal inbreds and hybrids for different market segments and build on a sustainable revenue generation model;
- Deploy and scale up wide-scale adoption of promising inbreds and hybrids through field-level demonstrations in a participatory approach;
- Conduct capacity building and human resource development;
- Conduct monitoring, evaluation, and learning; and
- Conduct a socio-economic impact assessment.
Overall, the project’s scope encompasses comprehensive research, advanced breeding strategies, adaptation trials, on-farm field demonstrations, capacity building of staff and students of JNKVV, and technology awareness activities. It aims to develop and deploy climate-resilient and nutritious rice varieties and hybrids tailored to the agro-climatic challenges of Madhya Pradesh. It will primarily focus on increasing the farmer’s incomes and improve livelihoods, particularly in the tribal belt of Madhya Pradesh.

Project Timeline
- Establishment of SpeedBreed facility
- Delineation of hybrid rice production geographies (two-line & three-line systems)
- Sharing of multi-stress and nutritious rice varieties with JNKVV Introgression of dwarfing, and strong culm genes to premium landraces
- Conduct of benchmark socio-economic survey
- DSR suitability area mapping of Madhya Pradesh
- Geospatial technology-based market segment characterization Promising combinations will be advanced and multiplied for AICRIP nomination
- Releasedinbredsandhybridswillbecommercializedandlicensed
- Conduct of final socio-economic survey
- High-yielding inbreds with premium quality features of key landraces will be deployed to target tribal regions
- Deployment and demonstration of promising two-line hybrids in the target regions
Jul-2024 Jun-2025
Jul-2026 Jun-2027
Jul-2028 Jun-2029
- Evaluation and adaptation trials before nomination to AICRIP.
- Delineation of rice production geographies under DSR and TPR conditions
- SNP genotyping of JNKVV’s entire source nursery to identify promising cross combinations using AI tools.
- Training of JNKVV scientists for advanced molecular breeding techniques.
- Large-scale demonstration of promising inbreds and hybrids.
- High-yielding inbreds with premium quality features of key landraces will be multiplied.
- Introduction of newly developed varieties to farmers.
Jul-2025 Jun-2026
Jul-2027 Jun-2028
Project Highlights
Development of Climate-Resilient Paddy Varieties
Based on grain yield and associated agronomic parameters, five promising GSR lines were identified: IR13G1138, IR13G1142, IR13G1179, GSR IR2-10-L1-S1-Y2, and GSR IR2-10-L1-Y1-R2. These lines exhibited superior performance in evaluation trials, recording yield advantages of 75.83%, 52.40%, 43.12%, 42.80%, and 30.85%, respectively, over the superior check variety JR206. The consistent superiority of these entries indicates their strong potential for advancement to multi-location trials under diverse production systems, including aerobic, rainfed upland, and transplanted conditions.
DSR Suitable Paddy variety selection in kharif 2025
Promising DSR lines were selected from Stage-I trials at Jabalpur (10), Balaghat (15), Dindori (06), and Rewa (04) during Kharif 2026.
DSR suited varietal nomination
Two early maturing medium-grain DSR lines developed under the DEMS programme, IR127335-946-2-B-B and IR144562-1-47-1-1-B, were nominated to AICRP under IVT–Aerobic and IVT–EDS, respectively. In addition, the entry IR147506-B-B-49-B was submitted for AICRP testing in October 2025 for nomination during Kharif 2026
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Deployment of Promising DSR lines among Farmers
Five promising varieties namely IR 147505-B-B-85-B, IR 147506-B-B-49-B, IR 147503-B-B-48-B, , IR 147498-B-B-122-B, and IR 147501-B-B-83-B—were multiplied during Kharif 2025 at Jabalpur, Balaghat and Rewa. The multiplied seeds will be deployed through FLDs among 500 farmers in Kharif 2026.
Seed Increase of Promising DSR lines identified in Kharif 2025
Ten high-yielding lines (>80 q ha⁻¹) namely IR 152049-B-56-B, IR 152029-B-11-B, IR 152045-B-53-B, IR 152045-B-77-B, IR 152041-B-90-B, IR 152030- B-45-B, IR 152048-B-15-B, IR 152044-B-24-B, IR 152038-B-87-B, and IR 152040-B-69-B have been identified and will be implemented as on-farm demonstrations in Kharif 2026.
Mechanized DSR demonstrations
Large-scale cluster demonstrations comparing mechanized DSR with conventional transplanting were conducted at Jabalpur, Rewa, and Balaghat (20 farmers: 10 Jabalpur; 5 each Rewa and Balaghat), showing location- and variety-specific responses.

TGMS line multiplication
Validation of the RS–GIS mapped location and optimized sowing time for S-line multiplication was confirmed at Pind Ke Paar village, Paraswada Block, Balaghat.
Two-line hybrid seed production
Validation of the RS–GIS mapped location and sowing time for Two-line hybrid seed producibility was confirmed at Jabalpur and Waraseoni block of Balaghat.
Two-line hybrid development
A total of 55 F₁ hybrids was developed at Jabalpur and Balaghat in kharif 2025; these will be evaluated for yield and agronomic performance during Kharif 2026.
Hybrid evaluation
Seven IRRI-developed hybrid rice entries were evaluated and IR142488H were exhibited superior performance at Jabalpur and Balaghat.
SNP genotyping
A total of 876 JNKVV rice lines were have been genotyped using 1K-RiCA SNP genotyping panel to support genomics- and AI-enabled promising hybrid combination identification.
AI-based prediction
The AI model used for JNKVV to predict the best parental combinations (out of 16,920 possible combinations) for high yield and early maturity hybrids has 89% prediction accuracy.
Gene introgression
Introgression of dwarfing and strong culm (scm2) genes into three premium landraces—Luchai, Kalimooch, and Kashtriya—was initiated and it will be completed by 2028 Wet Season.


Bio-fortified and low glycemic index paddy variety
The low Glycemic Index (GI) paddy variety IRRI 125 was evaluated for grain quality parameters under multi-location trials. Based on its consistent performance, the entry was submitted for AICRP testing and duly nominated in October 2025.
Development of Sheath blight and Blast resistance varieties of Rice
Respectively 79 and 53 seeds from Kranti and Madhuri based crosses of BC1F1 generation have been created which will subjected to further generation advancement for by backcrossing with recurrent parent using speed breeding facility.
Establishment of Speed breeding facilities
Technical specification for Speed breeding facility creation at JNKVV, Jabalpur has been finalized and further approval of tender is in process.
Socio-economic Impact Assessment Survey
Benchmark survey has been completed in three districts viz., Jabalpur, Katni and Dindori.

Funded By
Ministry of Farmers Welfare & Agricultural Development Government of Madhya Pradesh, India
Implementing Agencies
- International Rice Research Institute (IRRI), Los Baños, Philippines.
- Jawaharlal Nehru Krishi Vishwavidyalaya (JNKVV), Jabalpur, Madhya Pradesh, India
Principal Investigator
Dr. Jauhar Ali,
Principal Scientist,
International Rice Research Institute, Los Banos, Philippines. Mobile No: 00639175964323 Email Address: [email protected]
Dr. A. K. Jain,
Director Research Services,
Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur,
MP-482004, Mobile No.: 9424676726, Email ID: [email protected]
Ma. Anna Lynn Sevilla
Project Coordination Manager,
International Rice Research Institute, Los Banos, Philippines.
Mobile No: xxxxxx Email Address: [email protected]