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ICRISAT Governing Board 2019 PC meeting: Modernising ICRISAT Crop Improvement (Adapting Industry-Proven Processes for Public Institutions)-by Dr Jan Debaene

  1. Modernising ICRISAT Crop Improvement Adapting Industry-Proven Processes for Public Institutions Dr. Jan Debaene Global Head – Breeding
  2. Regional Crop Improvement Hubs to Increase Productivity and Effectiveness Establish Regional Crop Improvement Hubs (RCIH) at:  Samanko, Mali  Matopos, Zimbabwe  Patancheru, India
  3. Global Head of Breeding WCA Regional Breeding Lead Asia Regional Breeding Lead Crop Improvement Operations Lead Sorghum Breeder & Associate* Pearl Millet Breeder & Associate* Finger Millet Breeder & Associate* Chick Pea Breeder & Associate* Pigeon Pea Breeder & Associate* Ground Nut Breeder & Associate* ESA Regional Breeding Lead New Crop Improvement Structure Pathology Plant Physiology Entomology Bio-Informatics CEGSB Wide Hybridization Molec. Biology Genebank Genomics & Trait Developm. % time dedicated to each of the programs will be demand (project) driven. Regional Product Placement Lead Regional Product Placement Lead *Associate can be a Scientific Officer, Junior Breeder, Visiting Scientist or Consultant
  4. Crop Improvement Operations Team Senior Mentors Rapid Generation Advancement Team Data Collection & Phenotyping Team Cereal Crossing Team Legume Crossing Team Greenhouse Operations Team Field Trial Operations Team Seed Processing Team Seed Inventory Storage Team Sampling Team Crop Improvement Operations Team Structure Technical staff will move between teams, depending on seasonal demand. • Each staff member will be assigned to a primary team for administrative reporting purposes. • Each team will have at least one primary and secondary team lead. • Each team will have a scientific advisor/consultant (Ph.D. level expert scientist). CIOT Lead
  5. Change Management Can Reduce the Impact of Change and Lessen the Time for Implementation
  6. • Current state assessment > 90% completed • Definition of future requirements (Gap Analysis) requires M1 and M2 input desired future state (M1, M2 + programs) current state (M4 + programs) Gap Analysis Define priorities for improvement planning (capabilities & capacity) Oct-18 Nov-18 Dec-18 Jan-19 Feb-19 Mar-19 presented to team Contributors Mtg. Gap Analysis Product profiles – M1 Breeding schemas – M2 Action Plans! Necessary: • Tools must be available • Client and EiB engagement • Timely completion of Product Profile, Breeding Schemas, and Gap Analysis ICRISAT: EiB Module 4 Team visited Hyderabad during August 2018
  7. Suggested Action Plan from EiB Visit • Category • Sub-Category • Current Status • What is needed? • Why? • Action number • action to address • task number • task • Who is responsible (RACI) • Impact (1 - 10) • Duration (months) Status • Cost Estimate (USD) OPEX • Total Estimated operational Cost: 2019-2023 • Cost Estimate (USD) Capital • Total Estimated Capital Cost: 2019-2023
  8. Respecting the fundamentals of breeding Seed Management (mix-up of seed) Cold room status Take-home messages Focus on the basics: • Make sure you execute well Seed Inventory and Preservation of Identity (Avoiding Seed Mixtures) Courtesy of Dean Podlich
  9. Scope for improvement with Seed Processing Line SPL 1.Minimal workforce 2.Fast 3.Mix- free 4. Improved quality 5.Quick turnover time 6. Economical
  10. Total Workforce Costs for Seed Processing- Related Operations in 2018 Operations include harvesting, where primary processing is done in the field, processing, data collection during processing and planting preparation. Total CI & GTD seed samples processed annually is 192,000 Crop Improvement Genomics & Trait Discovery Crop Man Days/ha Total area (ha) Cost @ $ 6.48/ Man Day Man Days/ha Total area (ha) Cost @ $ 6.48/ Man Day Groundnut 853 9.21 $ 50,941 2080 1 $ 13,487 Chickpea 299 11.85 $ 22,975 Pigeonpea 500 8.19 $ 26,553 945 2.3 $ 14,093 Pearl millet 1595 17.15 $ 177,373 231 0.8 $ 1,228 Sorghum 500 4.96 $ 16,081 832 1.7 $ 9,171 Finger millet 514 1.9 $ 6,332 Total 4261 53.26 $ 300,255 4088 5.8 $ 37,979 Grand Total: $ 338,234
  11. Crop Work Area Upgrade and Seed Processing Modernization Investment Crop Improvement Genebank Seed processing equipment $ 225,272 $ 139,198 Air compression system $ 11,500 Air conditioning $ 17,360 Dust removal system $ 14,000 Dryers: modular (CI) & walk-in (GB) $ 80,000 $ 200,000 Crop work area renovation $ 40,000 $ 20,000 Germination chamber(s) $ 30,000 $ 102,219 Autoclave $ 11,500 Genebank lab & store updates $ 58,000 Totals $ 418,132 $ 530,917
  12. Shortened breeding cycle Increased selection accuracy Increased selection intensity Optimizing breeding schemes Δ𝐺 𝑦𝑒𝑎𝑟 = i 𝑟𝐴𝐼 σ 𝐴 𝐿
  13. Accelerated breeding pipelines using Speed- breeding / Rapid generation turnover methods RGT protocol optimization was initiated November 2018 • RGT accelerates fixing the breeding lines. • Using RGT prior to field testing, generating homozygous lines, will result in more accurate heritability estimates. • Rapid introgression of genes/ haplotypes into elite lines using marker-assisted selection. Panel of chickpea lines (ICAR) Sorghum and groundnut
  14. Timeline for Asia Hiring Implementation
  15. Implementation Action Items Hiring of key positions Align common needs across the various crops Improvement Plans from the ‘Crops to End Hunger’ CGIAR iniatives with ICRISAT-wide improvement plans (white paper). Work wit the RPDs on the restructuring of the crop improvement teams • Reassignment of roles where applicable • Evaluate redundancies and work with HR on the most appropriate action On-board new key people and • Describe clear vision • Delineate specific objectives • Outline well-defined expectations Asses facilities and equipment; remodel facilities, procure equipment, acquire and deploy updated technology
  16. Questions?
  17. Thank You
  18. Appendix Equation, concept, tables and crop work area schematic
  19. Genetic Gain Δ𝐺 𝑦𝑒𝑎𝑟 = i 𝑟𝐴𝐼 σ 𝐴 𝐿 𝐢 = Selection intensity 𝒓 𝑨𝑰 = Accuracy 𝝈 𝑨 = Genetic variance 𝑳 = Generation interval Time: • Reducing generation interval = increases slope of the line • Denominator = Largest effect Traitvalue 0 1 4 Existing value Target value 2 3 Trait value Trait value Trait value Trait value Trait value Time
  20. Design of Product Profiles •Input from multidisciplinary team Target Product Profile Future market demand Climate change effects Nutrient needs Social & economic aspects Pest & pathogen evolution
  21. Seed Processing and Inventory Improvement Plan Process equipment Storage, labeling, inventory and tracking Seed counters and weighing Seed Processing Conditioning, packaging, treatment and Seed Quality assurance Seed Process Infrastructure Conditioning, packaging, treating, inventory and tracking
  22. In Threshing Blowing Grading(Optional) Seed counting + weighing Bar code label printing Out Proposed Seed Processing Line 2. Cold stores 1. Trials Color sorter (optional)
  23. Cost of Seed Processing Lines Cost ($) Equipment Make & Model Dryland Cereals Grain Legumes Single plant thresher (small) Haldrup, LT-15 9300 Plot thresher Haldrup, LT-35 17588 17588 Seed blower Seed Processing Holland, 200 MM 18332 18332 Horizontal belt grader Seed Processing Holland, SBG-100 16496 16496 Color sorter Satake, FMS-2000 34240 34240 Seed counter Data Count, R25+ 20330 20330 Totals 116,286 106,986 Grand Total 223,272
  24. Other Costs for Seed Processing System Cost ($) Dust removal system 14,000 Air compression system 11,500 Air conditioning 17,360 Moisture meters 2,000 Dryers (est.) 80,000 Crop work area renovation (est.) 50,000 Germination chamber (est.) 18,000 Totals 192,860
  25. Restructuring of Crop Work Area Genebank Seed Processing Line Seed Prep area Weighing & Labeling Seed Processing Line-1 Seed Processing Line-2 Weighing & Labeling Genebank Threshing area CI Threshing area Shorttermstores Mediumtermstores Seeddryarea
  26. Timeline for RGT Implementation
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