The project will focus on irrigated area of the country (Fig. 1). Initially (1st and 2nd year) the work will be carried out in the Indo-Gangetic plains (IGP), which has the largest area under irrigation in the country. Later on other irrigated areas will be covered.
Phenotyping, physiological evaluation and genetic improvement of irrigated crops (rice, wheat, chickpea) for heat and drought stresses.
• Physiological and biochemical response of rice, wheat and chick pea to temperature and moisture stresses.
• Functional and proteomic characterization of heat responsive genes and proteins in wheat and rice.
• Phenotyping and marker based genotyping for moisture and heat stress tolerance in wheat.
• Marker assisted improvement of drought and heat tolerance in basmati and non-basmati rice varieties.
• Interactive studies on temperature stress and moisture deficit in rice genotypes under elevated CO2.
• Evaluation of signaling molecules and growth regulators for mitigation of adverse effect of drought and high temperature stresses.
• Phenotypic and yield evaluation of MAS derived lines under stress conditions.
• Analysis of grain and cooking quality and Identification of elite genetic stocks for heat tolerance.
• Proteomic characterization of wheat under the heat stress for the identification of SAPs using iTRAQ.
Monitoring of GHG emissions through flux towers/field measurement in irrigated rice-wheat production system in the IGP (New Delhi) and rice-rice system in south-east peninsula (Aduthurai).
• Measuring and upscaling GHGs emission using flux tower in rice-wheat eco-system in the Indo-Gangetic plains and in rice-rice system in south-east peninsula (Aduthurai).
• Assessing the potential of microbial interventions for GHG mitigation in rice. Mitigating GHGs emissions from rice-wheat eco-systems through conservation agriculture, water and nutrient management.
Adaptation and mitigation through improved crop management, enhanced water productivity and nutrient use efficiency; and carbon and nutrient budgeting in rice-wheat system.
• Assessment of surface and groundwater availability and crop-water demand at field and regional scales under current and climate change scenarios.
• Quantification of C, N and energy budget under climate change scenarios and assessment of C sequestration potential at various agro-ecological zones.
• Development of microbe-based technology for tolerance to climatic stresses.
• Development of drought indices and monitoring system at various agro-ecological zones.
• Assessment of long-term effect of various residue management (crop residue incorporation, crop residue burning, crop residue removal) including biochar on C sequestration and soil health in rice-wheat, maize-wheat and pearl millet-wheat cropping system.
• Enhancing water and nutrient use efficiency through conservation agriculture.
• Quantification of water and energy budget.
• Development of composite drought index (Metrological, Agricultural and hydrological).
• Isolation and identification of MOB and deciphering total structural diversity of MOB from samples using 16S rRNA gene or methane monoxygenase gene sequencing.
• To validate the performance of ICM modules for enhancing productivity, resource use efficiency and enhance higher resilience in mitigation/adaptation to climate change in rice-wheat /maize-wheat cropping systems in the Indo-Gangetic regions.
Strengthening real-time data capture on crop health through Satellite Data Reception System and integrate the output to agro-advisories.
• Development of contingency measures for some selected districts in the IGP.
• Operational implementation of real-time crop monitoring application.
• Validation and improvement in satellite derived indicators.
• Providing information on crop health indicators to research group developing contingency plans.
Integrated crop modelling for wheat and rice for impact assessment and indentifying adaptation strategies at regional level for near and long-term downscaled scenario.
• Integrated modelling of climate change impacts and development of adaptation strategies.
• Developing pest simulation model for forewarning and coupling it with InfoCrop.
• Simulation of disease distribution (through mapping probable infection) of diseases in rice, wheat and chickpea.
• To study interactive effect of elevated CO2 and temperature on rice BPH, wheat aphids and predators.
• Linkage of Spodpoptera and population model with InfoCrop and simulation of climate change impact.
• Temperature rise impact on host-pathogen interaction in relation to pathogenicity related gene (s) expression on resistance and susceptibility.
Technology demonstration on farmers’ fields and
• Development of a climate-smart model village.
• Capacity building in NICRA villages for climate-smart agriculture.
• Development of educational aids and training modules for promoting climate-smart agriculture.
• Developing ICM modules for predominant cropping systems for resilience, diversification and livelihoods.
• Upscaling and outscaling of diffusion and application of climate resilient technologies.
• Development of climate smart farmers and climate smart community extension agents.