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Research Program - Asia
Pooran Gaur
on behalf of RP-Asia Team
Research Program - Asia
(1) Crop Improvement
(2) Integrated Crop Management
(3) Plant Quarantine Unit
(4) ICRISAT Development Centre
(5) Farm and Engineering Services
Pooran Gaur
Mamta Sharma
Rajan Sharma
Sreenath Dixit
Suresh Pillai
Chickpea Pigeonpea Groundnut
Legumes
Cereals
Sorghum Pearl millet Finger millet
Crop Improvement
Refining Product Concepts and ensuring alignment of Crop Breeding
efforts to Product Concepts
Consultations with multi-disciplinary teams of
stakeholders to refine Product Concepts
Modernization of crop improvement programs to accelerate genetic gain
Crop Asia South
Asia
India
Chickpea 2.32 2.53 2.50
Groundnuts 2.37 4.48 4.53
Millet 2.57 2.24 2.36
Pigeonpea 0.65 1.02 1.02
Sorghum -0.50 -2.91 -2.95
Estimating genetic gain……
Compound Annual Growth Rate (CAGR)
for yield during past 10 yrs (2008-2017)
0.75% genetic gain per annum in
pearl millet parents
2.14
2.44
2.23
2.36
3.08
1.47
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
MeanGrainyield(tha-1
Year of development
Sorghum B-lines for
Grain Yield
2.62
3.03
3.49
2.06
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
MeanGrainyield(tha-1)
Year of development
Sorghum SFR B-lines
for GY
Genetic gain of 1% per annum for grain yield
in Sorghum B-lines
0.75% genetic gain for pod
yield in Spanish Bunch
groundnut lines
We will work closely with
“ICAR-BMGF Project on modernization of
Indian Crop Breeding” for estimating
genetic gains
Crop
Number of generations
Field
Controlled
environment
Chickpea and groundnut 3 4
Sorghum, pearl millet and
Finger millet
2 4
Pigeonpea – Photo-thermo
sensitive
1 1
Pigeonpea – photo-thermo
insensitive (Super early)
2 3
Accelerating Genetic Gains through Rapid Generation Turnover (Speed Breeding)
Current status
Protocol developed for taking 6 generations per year in chickpea
Target
up to 6
generations
per year
+
Accelerating Genetic Gains by improving Selection Accuracy
Marker-assisted selection of traits for which validated markers
are available
 drought tolerance in chickpea
 FW and Sterility mosaic disease resistance in pigeonpea
 foliar disease resistance and high oleic acid in groundnut
 drought tolerance and shoot fly resistance in sorghum
 drought tolerance and downy mildew resistance in pearl
millet
Groundnut lines bred using markers for
high oleic and resistance to LLS and rust
are advanced stages of testing for release
in 2019Chickpea variety ICCV 10 with QTL-hotspot MABC line
Accelerating Genetic Gains by improving Selection Accuracy
Genomic Selection (GS)
 Chickpea: GS initiated in partnership with IARI
 Groundnut & Pearl millet: Genomic prediction
models developed
Prediction accuracies:
• Days to bloom: 0.88; Plant height: 0.72
• 100 grain weight: 0.74; Grain yield: 0.51
GS prediction accuracies for different traits
in pearl millet hybrid breeding program
Trait Prediction accuracy
Days to 50% flowering 0.562 to 0.851
Days to maturity 0.254 to 0.815
100-seed weight 0.792 to 0.912
Grain yield 0.138 to 0.606
GS prediction accuracies in chickpea from
different models and environments
• High throughput precision phenotyping
Managed environments
Near Infrared Reflectance Spectroscopy (NIRS)
and Energy-Dispersive X-ray Fluorescence
Spectrometry (XRF) for nutritional quality
traits.
• Efficient experimental designs and
statistical analysis
Spatial analysis, Partially replicated designs,
Multi-environment Trial (MET) analysis, Pedigree
BLUP, etc.
Accelerating Genetic Gains by improving Selection Accuracy
Making hybrid breeding program more efficient by exploiting
information on heterotic gene pools and quality control
Heterotic groups identified in
pearl millet
• Heterotic gene pools identified in pearl millet and pigeonpea
• The information is being used in development of new set of hybrid
parental lines and hybrids. In pearl millet, hybrids developed based
on heterotic gene pools gave 10% higher yield then the best hybrids.
• DNA fingerprinting of parental lines/hybrids for quality control
Vijayapura
Dharwad
Jaipur
Ludhiana
Sehore
Rahuri
Palanpur
Raniwada
Jodhpur
Bhubaneswar
Badnapur
Parbhani
Akola
Vizianagaram
Peddapuram
Ranichauri
Almora
Alwar
Early generation testing in Target Population of
Environments (TPEs)
Accelerating Genetic Gains by improving Selection Accuracy
Mainstreaming nutritional quality traits in crop breeding
 First biofortified Pearl Millet variety,
Dhanshakthi grown in ~50,000 ha.
 First biofortified Sorghum variety,
Parbhani Shakthi released in 2018 in
India
 Studies on seed localization of Fe
and Zn are in progress in sorghum.
Vice Chancellor of VNMKV-Parbhani and the DG-ICRISAT
releasing Parbhani Shakthi on 5th July 2018
R2 of 0.98 for phytates R2 of 0.94 for polyphenols
• Enhanced protein content in chickpea and
pigeonpea
• Enhanced iron and zinc content in all crops
• Required genetic variability available.
• High throughput phenotyping (XRF and NIRS)
standardized for pearl millet, sorghum and
groundnut and being standardized for the remaining
crops.
Phytate and polyphenols in grain strongly chelate minerals including Fe and Zn,
and thereby reducing their bioavailability
New traits in crop breeding pipelines
Water logging in pigeonpea Red grain sorghum Heat sensitive Heat tolerant
Machine harvestable chickpea
Herbicide tolerance in chickpea
• Labor-saving traits: Machine harvestability and herbicide
tolerance in chickpea
• Adaptation to climate change and new growing conditions:
Heat tolerance in chickpea; water logging tolerance in
pigeonpea; and lodging tolerance in pearl millet.
• Forage quality: In Vitro Organic Matter Digestibility (IVOMD)
in sorghum and pearl millet (partnership with ILRI).
• Market-preferred traits: Red gain sorghum for brewing and
animal feed.
Improving operational efficiencies
• Enhancing mechanization, automation and digitization
• Implementing Breeding Management System (BMS)
 already in use; historical data to be migrated
• Cold stores – refurbished
 Short-term Cold Stores (12-16 0C): 545 m2
 Medium-term Cold Stores (4 0C): 178 m2
• Establishing a Seed Processing Unit
• Implementing Seed Inventory Management System
Enhancing partnerships with private sector
• Hybrid Parent Reseach Consortium – several new members
• Food processing industries – MARS, PRAN Agro (Bangladesh),
FRYO Industries
• Service providers - Intertek (SNP), Rapid phenotyping (hand-
held NIRS with EiB), Waite lab (Australia).
• Modernizing Pearl millet breeding program – Corteva with EiB
Enhancing cross-regional collaborations in crop improvement
• Sharing knowledge and breeding materials
• Participation of scientists from all regions in Crop-wise
Scientists’ Meet/Field Days organized at Patancheru
• Developing and sharing standard operating procedures
for crop breeding and testing
• Technical backstopping in aflatoxin diagnostics
• Characterization of pest and pathogen population
• Sharing/establishing phenotyping facilities
• Developing joint research proposals in the areas of
common research priorities
Research Priority for ICM
Priority Chickpea Pigeonpea Groundnut Sorghum Pearl millet
Finger
millet
1 Dry root rot
Pod borer
Fusarium wilt
Pod borer
Aflatoxin
Leaf spots
Shoot fly
Fall army worm
Blast
Downy mildew Blast
2 Fusarium wilt Phytophthora blight
SMD
Maruca
Stem rot Grain mold
Charcoal rot
Stem borer
Rust
3 Ascochyta blight
Collar rot
Dry root rot
Pod fly
Collar rot Anthracnose
Leaf Blight
Ergot
Smut
4 Botrytis grey mold Rust
Integrated Crop Management (ICM)
Developing early detection systems for pests & diseases
F. oxysporum f sp. ciceris & R. bataticola in chickpea
• Monitoring and real time surveillance of pests & diseases
 Tracking prevalence & movement of insect pests & diseases
 Artificial intelligence and machine learning to increase the
large scale monitoring at farm-level
• Determining diagnostic wavelengths & development of aerial
sensors
• Loop mediated isothermal amplification (LAMP) assay for visual
detection pathogens from infected plants & soil
• NGS based detection of viral pathogen
Fall armyworm affected area around
the Globe as on 31st Dec 2018
Climate change and plant protection
• Climate change facilities to study the effects of climate variability on host x pathogen
interactions
• Identification and mapping of risk zones for emerging diseases/insect-pests under
climate change scenarios
• Host–insect-pests/pathogens interactions in relation to simulated climate variables
• Weather-based prediction models for timely management of diseases/insect-pests
Center of Excellence on climate change research for plant protection to develop pest
and disease management for climate change adaptation
Climate change facility @ ICRISAT
Advances in host plant resistance
Precision phenotyping
• Identification of resistant sources for emerging diseases and
insect-pests
• Multi-location evaluation at hot spots to identify stable resistance
Effectromics
• Identify effectors and host gene functions in H×P interactions
Induced systemic resistance (ISR)
• Identify PGPR/ metabolites and chemicals to induce SAR
Mechanism of disease resistance
• Proteomics/metabolomics/transcriptomics to understand host x
pathogen/pest interactions
Wilt sick plot
DM screening
Wilt sick plot
Growth chamber
• Sequencing and re-sequencing of pathogens and beneficial microorganisms
• Allelic variation of candidate genes encoding effectors and pathogenicity
related proteins
• Mapping of soil microbiome (pathogenic and beneficial) and their
exploitation in sustainable plant health
• Development of genomic resources for plant pathogens
WGS-Fusarium oxysporum f sp ciceris
Microbial imprinting
Functional classification of differentially expressed transcripts of Foc.
Wilt sick plot
Growth chamber
Microbes for IPM, BNF and biofortification
• Designer microbial consortia for target pests/pathogens
• Emphasis on metabolite and semio-chemical based plant protection
• New bioagents with broad spectrum efficacy such as actinomycetes
• High nodulating and N2 fixing rhizobia and diazotrophic bacteria
• PGPR assisted biofortification Cyclo(Trp-Phe)
Citrinin
O
O
O
CH3O
O
O
HO
HO
RO
OHO
O
O
O
CH3O
HO
7
2
4
2' 4'
R=H, Judaicin-7-O-glucoside
Iso-flavonoids in wild chickpea Cicer judaicum
R= malonyl, Judaicin-7-O-malonylglucoside
Plant Quarantine Unit
Detection and Diagnostics
• Use of non-invasive techniques for seed-borne pest detection
(Videometer seed analyzer, Soft X-ray analysis)
• Nucleic acid based detection (NGS based detection of seed-
borne viral pathogens)
Quality Management System (QMS)
• Standard Operating Procedure (SOPs) - Eight SOPs for PQU
activities
• Working instructions for equipment
• Use of barcode for capturing the seed health test data
Salvaging
• Identify more effective fungicides for seed treatment
Capacity building
• Organize Phytosanitary awareness programs
• Impart training to National and International Plant Quarantine
staff in collaboration with NIPHM
Videometer seed analyzer
Healthy seeds
Insect infestation
ICRISAT Development Center (IDC)
- Undertaking large-scale uptake of science backed technologies
Current Research & Development Projects with IDC
Type of projects Number Target Indian states Interventions
Government funded
R&D projects
9 UP, Odisha, Karnataka,
AP
Soil-water-nutrient-crop
management;
Mechanization, M&E
CSR projects 12 Karnataka, Telangana,
MH, AP, Odisha
Rainwater harvesting &
watershed management
Research Projects
(SDC, Newton
Bhabha, FAO, MoES)
4 Karnataka, AP, UP, MH,
CG, Odisha
Water balance studies,
Crop modelling, crop
insurance, management of
rice-fallows, etc
Number of projects : 25; Total value US$ 31.3 million
• Holistic approach to benefit smallholder farmers
• Integrate the outputs from research across the whole value chain (soil
and water management, improved cultivars and production technologies,
climate smart production systems, post-harvest management and value
addition, etc).
• Serve as a self-sustaining business model, attracting funding from
corporates and other development investors.
• Work with a range of R&D partners, focusing on trust building through
transparency & accountability, and mutual learning and capacity building.
• Making efforts to enhance collaborations with other programs in ICRISAT,
ICAR Institutes and SAUs.
• Serve as a platform to capture lessons learnt
• Provide feedback into ICRISAT’s research programs to support problem
solving and demand-driven research.
• Further develop the science of scaling-up/out through lessons learnt.
Focus areas/strategies of IDC
Recent developments/upgrades
Micro-sick plots for transgenic researchGroundnut Hybridization block
Farm and Engineering Services
Upgrade of Seed Stores Cold Rooms
500Kw Rooftop Solar power Rooftop waterproofing
Fabrication of Machineries
Planter for CAZRI Tractor operated Tropicultor Peanut stripper Easy planter
Plastic Mulching cum Drip
Lateral Laying Equipment
Plot Threshers for African locations
Upgrade of Machineries
Upgrade of planters with new
ALMACO Metering units
Development/upgrade of research facilities and purchase of new
farm machineries
• Development of RGT growth chambers & glasshouses.
• Upgrade and automation of existing glasshouses
• New machineries to enhance quality and efficiency of farm operations
Auto-steer tractors; Laser land levelers; Precision pneumatic planters
Self-propelled high clearance sprayer; Laser bird repellant
Infrastructure development/upgrade
• Replacement of sheet & truss-work 308 Crop-work area roofing
• Covered structure over Maingate and upgrade of Visitors room
• Enhancement of vehicle parking spaces: 2-wheeler & 4-wheeler
• Upgrade of ESH & OSSH houses
• Additional solar power plant – 1.0 Megawatt (on availability of funds)
• New residential facilities
Future proposed plans for FES
Thank You

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  • 1. Research Program - Asia Pooran Gaur on behalf of RP-Asia Team
  • 2. Research Program - Asia (1) Crop Improvement (2) Integrated Crop Management (3) Plant Quarantine Unit (4) ICRISAT Development Centre (5) Farm and Engineering Services Pooran Gaur Mamta Sharma Rajan Sharma Sreenath Dixit Suresh Pillai
  • 3. Chickpea Pigeonpea Groundnut Legumes Cereals Sorghum Pearl millet Finger millet Crop Improvement
  • 4. Refining Product Concepts and ensuring alignment of Crop Breeding efforts to Product Concepts Consultations with multi-disciplinary teams of stakeholders to refine Product Concepts
  • 5. Modernization of crop improvement programs to accelerate genetic gain Crop Asia South Asia India Chickpea 2.32 2.53 2.50 Groundnuts 2.37 4.48 4.53 Millet 2.57 2.24 2.36 Pigeonpea 0.65 1.02 1.02 Sorghum -0.50 -2.91 -2.95 Estimating genetic gain…… Compound Annual Growth Rate (CAGR) for yield during past 10 yrs (2008-2017) 0.75% genetic gain per annum in pearl millet parents 2.14 2.44 2.23 2.36 3.08 1.47 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 MeanGrainyield(tha-1 Year of development Sorghum B-lines for Grain Yield 2.62 3.03 3.49 2.06 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 MeanGrainyield(tha-1) Year of development Sorghum SFR B-lines for GY Genetic gain of 1% per annum for grain yield in Sorghum B-lines 0.75% genetic gain for pod yield in Spanish Bunch groundnut lines We will work closely with “ICAR-BMGF Project on modernization of Indian Crop Breeding” for estimating genetic gains
  • 6. Crop Number of generations Field Controlled environment Chickpea and groundnut 3 4 Sorghum, pearl millet and Finger millet 2 4 Pigeonpea – Photo-thermo sensitive 1 1 Pigeonpea – photo-thermo insensitive (Super early) 2 3 Accelerating Genetic Gains through Rapid Generation Turnover (Speed Breeding) Current status Protocol developed for taking 6 generations per year in chickpea Target up to 6 generations per year +
  • 7. Accelerating Genetic Gains by improving Selection Accuracy Marker-assisted selection of traits for which validated markers are available  drought tolerance in chickpea  FW and Sterility mosaic disease resistance in pigeonpea  foliar disease resistance and high oleic acid in groundnut  drought tolerance and shoot fly resistance in sorghum  drought tolerance and downy mildew resistance in pearl millet Groundnut lines bred using markers for high oleic and resistance to LLS and rust are advanced stages of testing for release in 2019Chickpea variety ICCV 10 with QTL-hotspot MABC line
  • 8. Accelerating Genetic Gains by improving Selection Accuracy Genomic Selection (GS)  Chickpea: GS initiated in partnership with IARI  Groundnut & Pearl millet: Genomic prediction models developed Prediction accuracies: • Days to bloom: 0.88; Plant height: 0.72 • 100 grain weight: 0.74; Grain yield: 0.51 GS prediction accuracies for different traits in pearl millet hybrid breeding program Trait Prediction accuracy Days to 50% flowering 0.562 to 0.851 Days to maturity 0.254 to 0.815 100-seed weight 0.792 to 0.912 Grain yield 0.138 to 0.606 GS prediction accuracies in chickpea from different models and environments
  • 9. • High throughput precision phenotyping Managed environments Near Infrared Reflectance Spectroscopy (NIRS) and Energy-Dispersive X-ray Fluorescence Spectrometry (XRF) for nutritional quality traits. • Efficient experimental designs and statistical analysis Spatial analysis, Partially replicated designs, Multi-environment Trial (MET) analysis, Pedigree BLUP, etc. Accelerating Genetic Gains by improving Selection Accuracy
  • 10. Making hybrid breeding program more efficient by exploiting information on heterotic gene pools and quality control Heterotic groups identified in pearl millet • Heterotic gene pools identified in pearl millet and pigeonpea • The information is being used in development of new set of hybrid parental lines and hybrids. In pearl millet, hybrids developed based on heterotic gene pools gave 10% higher yield then the best hybrids. • DNA fingerprinting of parental lines/hybrids for quality control
  • 12. Mainstreaming nutritional quality traits in crop breeding  First biofortified Pearl Millet variety, Dhanshakthi grown in ~50,000 ha.  First biofortified Sorghum variety, Parbhani Shakthi released in 2018 in India  Studies on seed localization of Fe and Zn are in progress in sorghum. Vice Chancellor of VNMKV-Parbhani and the DG-ICRISAT releasing Parbhani Shakthi on 5th July 2018 R2 of 0.98 for phytates R2 of 0.94 for polyphenols • Enhanced protein content in chickpea and pigeonpea • Enhanced iron and zinc content in all crops • Required genetic variability available. • High throughput phenotyping (XRF and NIRS) standardized for pearl millet, sorghum and groundnut and being standardized for the remaining crops. Phytate and polyphenols in grain strongly chelate minerals including Fe and Zn, and thereby reducing their bioavailability
  • 13. New traits in crop breeding pipelines Water logging in pigeonpea Red grain sorghum Heat sensitive Heat tolerant Machine harvestable chickpea Herbicide tolerance in chickpea • Labor-saving traits: Machine harvestability and herbicide tolerance in chickpea • Adaptation to climate change and new growing conditions: Heat tolerance in chickpea; water logging tolerance in pigeonpea; and lodging tolerance in pearl millet. • Forage quality: In Vitro Organic Matter Digestibility (IVOMD) in sorghum and pearl millet (partnership with ILRI). • Market-preferred traits: Red gain sorghum for brewing and animal feed.
  • 14. Improving operational efficiencies • Enhancing mechanization, automation and digitization • Implementing Breeding Management System (BMS)  already in use; historical data to be migrated • Cold stores – refurbished  Short-term Cold Stores (12-16 0C): 545 m2  Medium-term Cold Stores (4 0C): 178 m2 • Establishing a Seed Processing Unit • Implementing Seed Inventory Management System
  • 15. Enhancing partnerships with private sector • Hybrid Parent Reseach Consortium – several new members • Food processing industries – MARS, PRAN Agro (Bangladesh), FRYO Industries • Service providers - Intertek (SNP), Rapid phenotyping (hand- held NIRS with EiB), Waite lab (Australia). • Modernizing Pearl millet breeding program – Corteva with EiB
  • 16. Enhancing cross-regional collaborations in crop improvement • Sharing knowledge and breeding materials • Participation of scientists from all regions in Crop-wise Scientists’ Meet/Field Days organized at Patancheru • Developing and sharing standard operating procedures for crop breeding and testing • Technical backstopping in aflatoxin diagnostics • Characterization of pest and pathogen population • Sharing/establishing phenotyping facilities • Developing joint research proposals in the areas of common research priorities
  • 17. Research Priority for ICM Priority Chickpea Pigeonpea Groundnut Sorghum Pearl millet Finger millet 1 Dry root rot Pod borer Fusarium wilt Pod borer Aflatoxin Leaf spots Shoot fly Fall army worm Blast Downy mildew Blast 2 Fusarium wilt Phytophthora blight SMD Maruca Stem rot Grain mold Charcoal rot Stem borer Rust 3 Ascochyta blight Collar rot Dry root rot Pod fly Collar rot Anthracnose Leaf Blight Ergot Smut 4 Botrytis grey mold Rust Integrated Crop Management (ICM)
  • 18. Developing early detection systems for pests & diseases F. oxysporum f sp. ciceris & R. bataticola in chickpea • Monitoring and real time surveillance of pests & diseases  Tracking prevalence & movement of insect pests & diseases  Artificial intelligence and machine learning to increase the large scale monitoring at farm-level • Determining diagnostic wavelengths & development of aerial sensors • Loop mediated isothermal amplification (LAMP) assay for visual detection pathogens from infected plants & soil • NGS based detection of viral pathogen Fall armyworm affected area around the Globe as on 31st Dec 2018
  • 19. Climate change and plant protection • Climate change facilities to study the effects of climate variability on host x pathogen interactions • Identification and mapping of risk zones for emerging diseases/insect-pests under climate change scenarios • Host–insect-pests/pathogens interactions in relation to simulated climate variables • Weather-based prediction models for timely management of diseases/insect-pests Center of Excellence on climate change research for plant protection to develop pest and disease management for climate change adaptation Climate change facility @ ICRISAT
  • 20. Advances in host plant resistance Precision phenotyping • Identification of resistant sources for emerging diseases and insect-pests • Multi-location evaluation at hot spots to identify stable resistance Effectromics • Identify effectors and host gene functions in H×P interactions Induced systemic resistance (ISR) • Identify PGPR/ metabolites and chemicals to induce SAR Mechanism of disease resistance • Proteomics/metabolomics/transcriptomics to understand host x pathogen/pest interactions Wilt sick plot DM screening
  • 21. Wilt sick plot Growth chamber • Sequencing and re-sequencing of pathogens and beneficial microorganisms • Allelic variation of candidate genes encoding effectors and pathogenicity related proteins • Mapping of soil microbiome (pathogenic and beneficial) and their exploitation in sustainable plant health • Development of genomic resources for plant pathogens WGS-Fusarium oxysporum f sp ciceris Microbial imprinting Functional classification of differentially expressed transcripts of Foc.
  • 22. Wilt sick plot Growth chamber Microbes for IPM, BNF and biofortification • Designer microbial consortia for target pests/pathogens • Emphasis on metabolite and semio-chemical based plant protection • New bioagents with broad spectrum efficacy such as actinomycetes • High nodulating and N2 fixing rhizobia and diazotrophic bacteria • PGPR assisted biofortification Cyclo(Trp-Phe) Citrinin O O O CH3O O O HO HO RO OHO O O O CH3O HO 7 2 4 2' 4' R=H, Judaicin-7-O-glucoside Iso-flavonoids in wild chickpea Cicer judaicum R= malonyl, Judaicin-7-O-malonylglucoside
  • 23. Plant Quarantine Unit Detection and Diagnostics • Use of non-invasive techniques for seed-borne pest detection (Videometer seed analyzer, Soft X-ray analysis) • Nucleic acid based detection (NGS based detection of seed- borne viral pathogens) Quality Management System (QMS) • Standard Operating Procedure (SOPs) - Eight SOPs for PQU activities • Working instructions for equipment • Use of barcode for capturing the seed health test data Salvaging • Identify more effective fungicides for seed treatment Capacity building • Organize Phytosanitary awareness programs • Impart training to National and International Plant Quarantine staff in collaboration with NIPHM Videometer seed analyzer Healthy seeds Insect infestation
  • 24. ICRISAT Development Center (IDC) - Undertaking large-scale uptake of science backed technologies
  • 25. Current Research & Development Projects with IDC Type of projects Number Target Indian states Interventions Government funded R&D projects 9 UP, Odisha, Karnataka, AP Soil-water-nutrient-crop management; Mechanization, M&E CSR projects 12 Karnataka, Telangana, MH, AP, Odisha Rainwater harvesting & watershed management Research Projects (SDC, Newton Bhabha, FAO, MoES) 4 Karnataka, AP, UP, MH, CG, Odisha Water balance studies, Crop modelling, crop insurance, management of rice-fallows, etc Number of projects : 25; Total value US$ 31.3 million
  • 26. • Holistic approach to benefit smallholder farmers • Integrate the outputs from research across the whole value chain (soil and water management, improved cultivars and production technologies, climate smart production systems, post-harvest management and value addition, etc). • Serve as a self-sustaining business model, attracting funding from corporates and other development investors. • Work with a range of R&D partners, focusing on trust building through transparency & accountability, and mutual learning and capacity building. • Making efforts to enhance collaborations with other programs in ICRISAT, ICAR Institutes and SAUs. • Serve as a platform to capture lessons learnt • Provide feedback into ICRISAT’s research programs to support problem solving and demand-driven research. • Further develop the science of scaling-up/out through lessons learnt. Focus areas/strategies of IDC
  • 27. Recent developments/upgrades Micro-sick plots for transgenic researchGroundnut Hybridization block Farm and Engineering Services Upgrade of Seed Stores Cold Rooms 500Kw Rooftop Solar power Rooftop waterproofing
  • 28. Fabrication of Machineries Planter for CAZRI Tractor operated Tropicultor Peanut stripper Easy planter Plastic Mulching cum Drip Lateral Laying Equipment Plot Threshers for African locations Upgrade of Machineries Upgrade of planters with new ALMACO Metering units
  • 29. Development/upgrade of research facilities and purchase of new farm machineries • Development of RGT growth chambers & glasshouses. • Upgrade and automation of existing glasshouses • New machineries to enhance quality and efficiency of farm operations Auto-steer tractors; Laser land levelers; Precision pneumatic planters Self-propelled high clearance sprayer; Laser bird repellant Infrastructure development/upgrade • Replacement of sheet & truss-work 308 Crop-work area roofing • Covered structure over Maingate and upgrade of Visitors room • Enhancement of vehicle parking spaces: 2-wheeler & 4-wheeler • Upgrade of ESH & OSSH houses • Additional solar power plant – 1.0 Megawatt (on availability of funds) • New residential facilities Future proposed plans for FES
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