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Priorities for DAR-ICRISAT Research Collaborations by Dr Pooran Gaur

  1. Priorities for DAR-ICRISAT Research Collaborations Pooran Gaur On behalf of DAR-ICRISAT Team DAR, Yezin 11 June 2019 Yezin, Myanmar
  2. Area of ICRISAT mandate crops in Myanmar Crop Area during 2017-18 (‘000 ha) Groundnut 1035 Pigeonpea 658 Chickpea 377 Sorghum 215
  3. Modernization of Crop Improvement Programs (A) Enhancing genetic gains • Development of Product Profiles and aligning crop breeding programs to product profiles. • Broadening genetic base of breeding populations (enhanced use of germplasm, novel crossing methods to enhance genetic recombination) • Improving selection efficiency (precision in phenotyping, marker-assisted selection, use of efficient experimental designs) • Rapid generation turn over (taking 2-3 crop cycles per year)
  4. Modernization of Crop Improvement Programs (B) Improving operational efficiency • Use of trait ontology • Standardization of naming convention for pedigrees, breeding lines, nurseries and trials • Bar coding and digital data capture • Inventory of seed stored. • Use of Breeding Management System (BMS) • Mechanization Single plant thresher Plot combine harvester Seed counter Barcoding and electronic data capture
  5. Priorities for Chickpea Breeding • Early maturity – replacement of ICCV 2 in Sagaing division • Resistance to fusarium wilt and dry root rot • Drought and heat tolerance • Large and extra-large seeded kabuli • Machine harvestability
  6. Priorities for Pigeonpea Breeding • Super-early for crop diversification • Resistance to FW and SMD • Exploitation of hybrid vigor
  7. Priorities for Groundnut Breeding • Combining early maturity and foliar fungal disease resistance • Confectionary type with about 60-70 g for 100 seed mass • Combining early maturity with medium-bold size kernels • Short-duration, drought tolerant, fresh seed dormancy lines (Spanish) • For Pookoku region, Virginia type maturing in 120 days. • For Myingyan region, varieties maturing in 120 days, with 60-70 g 100-seed mass, foliar fungal disease resistance and drought tolerance. • High Oleic lines for emerging markets in the country Need for mechanized threshing is urgent Haulms Foliar fungal disease resistance is a must trait as dried haulms are used as fodder for livestock
  8. Priorities for Sorghum Breeding • Multi-cut forage varieties with high digestibility • Dual purpose varieties • Biofortified varieties • Exploitation of heterosis
  9. • Conduct participatory on farm research and demonstrations of technologies (e.g. FPVS trials on improved varieties/elite lines) • Provide training to extension personnel • Knowledge empowerment of farmers by organizing various awareness activities (field days, electronic and print media) and training programs through extension personnel. Enhancing adoption of improved cultivars and production technologies
  10. Development and expansion of effective seed production and distribution systems, including village seed banks A seed grower farmer Daw Win in Saku Township (Magway Region)
  11. Value addition and market linkages • Creating a demand pull • Providing farmers access to primary processing facilities to be established at the community level. • Involve local youth entrepreneurs, women SHGs or Farmer Producer Organizations (FPOs) in managing the processing facilities. • Ensure inclusiveness of the farming communities and ultimately enhancing their income.
  12. Integrated Watershed Management
  13. Soil health mapping and promotion of need-based application of macro and micronutrients Organic Carbon Phosphorus Potassium Sulphur Boron Zinc Online soil analysis results & recommendations SoilHealthCard
  14. Systems analysis for climate smart agriculture • Crop Modelling: Generating prediction maps with genotype or management alterations. • System analysis: By scaling up one ladder to undertake predictions at the system level (from one crop/one year to multiple crops and seasons; and socio-economic analysis on a regional basis to assess effects of interventions on livelihoods • Weather forecast and predictions: Develop crop suitability maps at a regional scale based on long term weather observations; assess seasonal forecasts to make crop recommendation at a regional scale; and generate soil and weather data repositories for simulation use in SAT target regions. Predict the most promising interventions to be made at the farming system level to optimize returns at the economic and ecosystem level.
  15. Capacity Building of DAR and DOA in agricultural R&D
  16. Thank you! Yezin, Myanmar
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