SlideShare a Scribd company logo
1 of 21
Download to read offline
Arvind Kumar
Dissemination and Community of Practice for
newly developed drought tolerant QTLs
pyramided lines
G4011.04
Detecting and fine mapping QTLs with major
effects on rice yield under drought stress for
deployment via marker aided breeding
G3007.05
Outlines
• Major QTLs for grain yield under drought in
background of high yielding popular varieties
• Marker assisted introgression and pyramiding of
QTLs in popular varieties Vandna, IR64, Sambha
Mahsuri, Swarna
• Is rice different from other cereals for gains in
yield under drought?
• Products, partners, capacity building
• Conclusions
Major QTLs for grain yield under drought
• Efforts initiated in 2002-03
• Based on grain yield per se
• To identify large effect QTLs in the
background of high yielding
popular varieties
• Validate effect of identified QTLs in
different environments, different
genetic backgrounds
• Up to 2013, studied over 50
mapping populations (17 publications
just on QTL identification: Bernier et al. 2007,
Venuprasad et al. 2009, Bernier et a. 2009,
Venuprasad et al. 2009A, Venuprasad et al. 2009B,
Vikram t al. 2011, Swamy et al. 2011, Dixit et al.
2012, Ghimire et al. 2012, Vikram et al. 2012, Dixit
et al., 2012, Mishra et al. 2013, Yadaw et al. 2013,
Swamy et al. 2013, Dixit et al. Sub, Alvin et al.
Subm., Nitika et al. Subm.)
2013DS, IRRI
QTLs Donors Backgrounds Ecosystems
qDTY1.1
N22, Dhagaddeshi, Apo, CT9993-
10-1-M, Kali Aus, Basmati 334 Swarna, IR64, MTU1010 Lowland, Upland
qDTY2.1 Apo, AUS 276 Swarna, MTU1010 Lowland
qDTY2.2 Aday sel, Kali Aus
MTU1010, IR64,
Sambha Mahsuri Lowland, Upland
qDTY2.3 N22, IR74371-46-1-1 IR64, Sabitri Upland, Lowland
qDTY3.1 Apo, IR55419-04 Swarna, TDK 1 Lowland
qDTY3.2
N22, IR772978-5-6-18, IR74371-
46-1-1, Moroberekan Swarna, Sabitri Lowland, Upland
qDTY4.1 Aday Sel IR64, Sambha Mahsuri Lowland
qDTY6.1 Apo, Vandna, IR55419-04 Swarna, IR72, TDK 1 Upland, Lowland
qDTY6.2 IR55419-04 TDK 1 Lowland
qDTY8.1 Basmati 334 Swarna Lowland
qDTY9.1 Aday sel IR64 Lowland
qDTY10.1 N22, Aday sel, Basmati 334 IR64, MTU1010, Swarna Lowland
qDTY11.1 IR55419-04 Sambha Mahsuri Lowland
qDTY12.1 Way Rarem, IR74371-46-1-1 Vandna, Sabitri Upland, Lowland
QTLs for GY under drought identified at IRRI
Major QTLs: grain yield under drought in rice
Over all picture on QTL study:
• Fourteen QTLs identified
• Nine QTLs: showed effect against two or more genetic backgrounds.
• Six : showed effect in both lowland and upland ecosystem
• Six QTLs: showed effect against two or more genetic backgrounds as
well as in both lowland and upland ecosystems
In the background of popular high yielding variety:
• 5 QTLs: qDTY1.1, qDTY2.1,qDTY3.1, qDTY3.2 and qDTY8.1 in Swarna;
• 4 QTLs: qDTY2.2, qDTY4.1, qDTY9.1, qDTY10.1, qDTY1.1, qDTY2.3 in IR64;
• 2 QTLs: qDTY12.1, qDTY3.1 in Sabitri;
• 3 QTLs: qDTY2.1, qDTY1.1, and qDTY10.1 in MTU1010;
• 3 QTLs: qDTY11.1, qDTY2.2, qDTY2.3 in Sambha Mahsuri;
• 3 QTLs: qDTY3.1, qDTY6.1,, qDTY6.2 in TDK 1;
Way Rarem Vandana IR90020:22-283-B-4-B
Genotypes
Upland severe stress Upland non- stress
GY DTF PHT BIO HI GY DTF PHT BIO HI
IR 84984-83-15-481-B 693 64 75 4160 0.17 2525 62 79 9584 0.29
IR 84984-21-19-78-B 478 66 74 3333 0.13 2996 65 89 10769 0.31
IR 90020:22-283-B-1-B 604 66 79 4160 0.14 3039 66 85 11610 0.29
IR 90020:22-283-B-4-B 515 67 77 4133 0.21 2245 68 84 7579 0.27
Vandana 27 70 79 2080 0.09 2127 68 91 10498 0.34
Apo 0.1 NF 57 226.7 0 2127 80 101 NA NA
SED 240 4 8 2151 0.13 813 5 8 3781 0.09
H 78.6 61.1 35.5 23.7 28.6 54.1 88.7 75.7 44.8 67.2
Apo
qDTY12.1introgressed in Vandna
DESIGNATION DTF-C DTF-D GY- C GY-D
IR 84984-83-15-110-B 62 80 5249 2099
IR 84984-83-15-481-B 61 78 5670 2343
IR 84984-83-15-862-B 62 79 4932 2146
IR 90019:17-159-B 60 78 4775 2268
IR 90019:22-283-B 60 78 5208 2410
VANDNA 60 81 4348 1799
WAY RAREM 90 90 4649 868
MEAN 64 81 4976 1998
LSD0.05 2 2 284 922
Vandna NIL lines yield in India
Vandna NILs are under testing in state trials in Jharkhand for
possible release in 2015.
VandnaIR 84984-83-15-481-B
Hazaribag, India, 2011 WS
First case of yield increase of a
drought tolerant cultivar
Increase in yield
9-30% in irrigated condition;
16-33% in moderate drought;
1670 - 2466% in severe drought
qDTY2.2, qDTY4.1 introgressed in IR64
IR64+ QTL line Drought Stress
2011DS, IRRI
Non-Stress
2011 DS, IRRI
+ QTL line IR64
IR64 QTL lines tested at 14 locations in India under AICRIP program;
Nepal (03), Bangladesh (01) and are in the process of being released as
varieties in India, Nepal and Bangladesh
IR64 QTL line with qDTY2.2, qDTY4.1 under
drought at IRRI: 2013DS
ENTRY
Rajsh
ahi
Nepal
ganj Raipur
Hydera
bad SS
Hydera
bad MS
Hazari
bag Rewa
IR87707-445-B-B 1525 3472 3956 1684 3800 1604 3731
IR87707-446-B-B 1933 2847 3614 1813 4057 1229 3899
IR87707-182-B-B 1508 2778 3419 1383 3604 1500 3509
IR 64 980 1597 2662 660 3085 958 2503
Trial mean 1269 2871 3413 1339 3636 1323 3410
LSD0.05 312 340 570 1878 1200 844 1818
IR64 QTLs lines yield: India, Nepal, Bangladesh 2012WS
ENTRY Rajshahi Nepalganj Raipur Rewa Faizabad
IR87707-446-B-B 4167 5990 5084 4100 5439
IR87707-445-B-B 4521 6302 5771 4911 6199
IR87707-182-B-B 4312 5078 5646 4513 6141
IR 64 3379 4297 4083 3586 4291
Trial mean 4011 5687 4694 3962 5323
LSD0.05 480 648 868 1840 528
GY under drought
GY under irrigated situation
Irrigated control -14-46% increase; Mild drought – 16-23% increase,
Moderate drought- 28-117% increase; Severe drought – 53-155% increase
Likely to be released in India, Nepal in 2013-14, Bangladesh 2015
IR64IR 87707-445-
B-B-B
IR 87707-182-
B-B-B
CRURRS, Hazaribag, India 2011 WS
Performance of IR64 QTL lines under
drought
qDTY2.2, qDTY4.1 introgressed in Sambha
Mahsuri: IRRI 2013DS
Line DTF-C HT-C GYKGPHA-D
IR99742-1-39-4-63 82 90 2063
IR99742-2-23-7-17 79 79 1979
IR99742-1-33-3-229 96 93 1814
IR99742-1-14-2-87 76 78 1753
IR99742-1-39-4-147 84 78 1649
IR99742-1-14-2-53 79 88 1582
IR99742-1-33-3-228 90 80 1559
IR99742-2-23-7-135 80 72 1447
IR99742-1-61-6-10 81 84 1368
IR99742-1-39-4-83 80 91 1352
IR99742-1-33-3-158 79 86 1340
Sambha Mahsuri 100 88 0
LSD0.05 970
Chr QTL Additive Effect Trait Donor
11 q DTY11.1 15% Yield -S IR55419-04
3 and 6 qDTY3.1 , q DTY6.1 35% Yield -S IR55419-04
3 qBl3.1 - Blast IR55419-04
MARS: Improving yield under drought and blast resistance
Second cycle of recurrent selection
Total samples: 7013, Samba Mahsuri grain type: 38, slender,
longer than Samba Mahsuri: 1045. 850 introgression lines
with QTLs fixed, in different combinations and having grain
quality similar to Samba Mahsuri, high grain weight selected
First cycle of recurrent selection
LIKE SAMBA
MAHSURI
SAMBA
MAHSURI
LONGER, SLENDER
THAN SAMBA MAHSURI
qDTY12.1, qDTY2.3, qDTY3.2 introgressed in IR64:
Earlier shown effect in upland in Vandna in upland
ENTRY DTF -C HT -C GY-C GY-D
IR99621-78-25 73 83 5460 3047
IR99621-33-1 76 123 6352 2947
IR99621-33-17 76 84 5605 2939
IR99621-33-11 77 124 5473 2929
IR99621-33-19 78 88 5864 2809
IR99621-33-15 78 127 5479 2743
IR99621-115-17 77 135 5231 2582
IR99621-115-26 78 127 6758 2527
IR64 79 87 4846 1607
LSD0.05 3 8 1556 801
H 75.7 97.6 70.1 76.2
Drought + Submergence Swarna: India
2013 DS
Entry DTF-C HT-C GY-D Submergence
IR96321-1686-199-B 106 68 2055 Tolerant
IR96321-315-325-B 109 64 2610 Tolerant
IR96321-1447-561-B 110 68 2438 Tolerant
Swarna 116 53 551 Susceptible
Swarna sub1 118 51 401 Tolerant
Designation DTF-C HT-C GY-D
IR94313:19-36-3-4-2-B 92 90 3474
IR94313:18-4-1-4-1-B 89 83 2852
IR94314-20-2-2-B 100 77 2834
IR88287-600-1-B-B-1-3-B 107 80 2508
IR94314-20-5-2-B 95 78 2767
IR94314-20-11-2-B 111 76 3055
IR94391-856-1-2-B 95 90 2741
Swarna 112 64 557
Swarna Sub1 110 61 456
LSD0.05 16 11 1230
Non-Swarna type drought tolerant lines: India, 2013DS
IR 74371-70-1-1:Sahbhagi dhan, BRRI dhan 56,
Sookha dhan 3
• A variety of 105-110 days duration,
high yielding, good grain quality
variety
• Developed through conventional
breeding
• Possess root plasticity trait
• Suitable to cultivation under both
dry direct seeded upland or lowland
as well as transplanted lowland
situations- Need to provide such
variety for planting flexibility to
farmers
• Provides yield advantage of 0.8-1.2
t/ha over currently grown varieties:
IRRI, India, famers field in India,
Nepal and Bangladesh
Identified RF-GCP:-FS022
Released:G3007.05
Dissemination:G4011.04
0
500
1000
1500
2000
2500
3000
Vandna
IR64
SambhaMahsuri
Swarna
Grainyield(kg/ha)
recipient parent
NIL
DTY12.1 DTY2.2 + DTY4.1 DTY1.1+DTY3.1+DTY2.1
Is rice different from other cereals?: response to
GY under drought
• Yield increase under drought to the tune of 0.5- 2.0 t/ha
• Grown in diverse conditions- upland-lowland-deepwater
• Rice grown in uplands have conserved regions for better response under
drought. Rice is uniquely placed to move the alleles from upland to lowland to
obtain high yield advantage under drought
Products, partners, capacity building
• Sahbhagi dhan, a drought tolerant variety in India, Bangladesh,
Nepal
• Major QTLs for GY under drought
• Improved Vandna with 0.5 t/ha increased yield under drought
• Improved IR64 with 0.8 -1.2 t/ha increased yield under drought
• Improved Sambha Mahsuri with 1.0 -1.5 t/ha improved yield
under drought
• Two Ph.D. Scholars, NARS partners trained, 02 rainout shelters
to partners
• Linkage with scientific community
Conclusions
• Major QTLs for Grain yield under drought with effect in multiple
high yielding genetic background, diverse- upland, lowland
ecosystems identified in rice.
• Identified QTLs introgressed and pyramided in popular rice
varieties of South Asia- Vandna, IR64, Sambha Mahsuri, Swarna.
Introgression in 5 other varieties in progress
• Introgressed QTLs effect higher than predicted in QTL
analysis. Effect also observed in irrigated situation not detected
in QTL study, could also result from selection of positive
interactions/ effect of QTLs in background of improved varieties
with less linkage drags
• Large effect QTLs, MAS + practical breeding, larger population
size, linkage breakage/positive use of existing linkage,
standardized managed drought screening key to success
Thank you very much for
your kind attention
Thanks to GCP for all support
over years, hope it continues

More Related Content

Viewers also liked

Introgression breeding for rice submergence tolerance_geetanjali
Introgression breeding for rice submergence tolerance_geetanjaliIntrogression breeding for rice submergence tolerance_geetanjali
Introgression breeding for rice submergence tolerance_geetanjaliDr. Geetanjali Baruah
 
Gene discovery for rice tolerance to saline and phosphorus-deficient soils
Gene discovery for rice tolerance to saline and phosphorus-deficient soilsGene discovery for rice tolerance to saline and phosphorus-deficient soils
Gene discovery for rice tolerance to saline and phosphorus-deficient soilsCGIAR Generation Challenge Programme
 
Drought tolerance genes and traits/Gene Index and markers
Drought tolerance genes and traits/Gene Index and markersDrought tolerance genes and traits/Gene Index and markers
Drought tolerance genes and traits/Gene Index and markersInternational Potato Center
 
Breeding for salinity tolerance in hydroponic systems of crop plants
Breeding for salinity tolerance in hydroponic systems of crop plantsBreeding for salinity tolerance in hydroponic systems of crop plants
Breeding for salinity tolerance in hydroponic systems of crop plantsShehzadkang
 
Effect of salinity on seedling growth in early vegetative phase of rice
Effect of salinity on seedling growth in early vegetative phase of riceEffect of salinity on seedling growth in early vegetative phase of rice
Effect of salinity on seedling growth in early vegetative phase of riceSohel Rana
 
Hybrid Rice
Hybrid RiceHybrid Rice
Hybrid RiceAIT
 
Submergence tolerant rice
Submergence tolerant rice Submergence tolerant rice
Submergence tolerant rice CGIAR
 
Linkage mapping and QTL analysis_Lab
Linkage mapping and QTL analysis_LabLinkage mapping and QTL analysis_Lab
Linkage mapping and QTL analysis_LabSameer Khanal
 
GRM 2013: MAGIC Rice Multi-parent Advanced Generation Inter-Cross -- H Leung
GRM 2013: MAGIC Rice Multi-parent Advanced Generation Inter-Cross -- H LeungGRM 2013: MAGIC Rice Multi-parent Advanced Generation Inter-Cross -- H Leung
GRM 2013: MAGIC Rice Multi-parent Advanced Generation Inter-Cross -- H LeungCGIAR Generation Challenge Programme
 
Seminar Presentation-Moon
Seminar Presentation-MoonSeminar Presentation-Moon
Seminar Presentation-MoonNushrat Jahan
 
R.K. Singh .Breeding for salt tolerance in rice
 R.K. Singh .Breeding for salt tolerance in rice R.K. Singh .Breeding for salt tolerance in rice
R.K. Singh .Breeding for salt tolerance in riceFOODCROPS
 
Development of First Multiparent Advanced Generation Inter-cross (MAGIC) Popu...
Development of First Multiparent Advanced Generation Inter-cross (MAGIC) Popu...Development of First Multiparent Advanced Generation Inter-cross (MAGIC) Popu...
Development of First Multiparent Advanced Generation Inter-cross (MAGIC) Popu...ICRISAT
 
MAGIC :Multiparent advanced generation intercross and QTL discovery
MAGIC :Multiparent advanced generation intercross and  QTL discovery MAGIC :Multiparent advanced generation intercross and  QTL discovery
MAGIC :Multiparent advanced generation intercross and QTL discovery Senthil Natesan
 

Viewers also liked (20)

1027 Current State of Rice Production and Research in DPR Korea
1027 Current State of Rice Production and Research in DPR Korea1027 Current State of Rice Production and Research in DPR Korea
1027 Current State of Rice Production and Research in DPR Korea
 
Introgression breeding for rice submergence tolerance_geetanjali
Introgression breeding for rice submergence tolerance_geetanjaliIntrogression breeding for rice submergence tolerance_geetanjali
Introgression breeding for rice submergence tolerance_geetanjali
 
Wassmann - Adapted rice crops for a 2030 world
Wassmann - Adapted rice crops for a 2030 worldWassmann - Adapted rice crops for a 2030 world
Wassmann - Adapted rice crops for a 2030 world
 
Gene discovery for rice tolerance to saline and phosphorus-deficient soils
Gene discovery for rice tolerance to saline and phosphorus-deficient soilsGene discovery for rice tolerance to saline and phosphorus-deficient soils
Gene discovery for rice tolerance to saline and phosphorus-deficient soils
 
Identifying optimized use of fresh and saline water for irrigation on salt af...
Identifying optimized use of fresh and saline water for irrigation on salt af...Identifying optimized use of fresh and saline water for irrigation on salt af...
Identifying optimized use of fresh and saline water for irrigation on salt af...
 
1003 Study and Utilization of the SRI Technology
1003 Study and Utilization of the SRI Technology 1003 Study and Utilization of the SRI Technology
1003 Study and Utilization of the SRI Technology
 
Drought tolerance genes and traits/Gene Index and markers
Drought tolerance genes and traits/Gene Index and markersDrought tolerance genes and traits/Gene Index and markers
Drought tolerance genes and traits/Gene Index and markers
 
1004 Modified SRI and super-high yield of hybrid rice in Sichuan Basin
1004 Modified SRI and super-high yield of hybrid rice in Sichuan Basin1004 Modified SRI and super-high yield of hybrid rice in Sichuan Basin
1004 Modified SRI and super-high yield of hybrid rice in Sichuan Basin
 
Breeding for salinity tolerance in hydroponic systems of crop plants
Breeding for salinity tolerance in hydroponic systems of crop plantsBreeding for salinity tolerance in hydroponic systems of crop plants
Breeding for salinity tolerance in hydroponic systems of crop plants
 
Effect of salinity on seedling growth in early vegetative phase of rice
Effect of salinity on seedling growth in early vegetative phase of riceEffect of salinity on seedling growth in early vegetative phase of rice
Effect of salinity on seedling growth in early vegetative phase of rice
 
Hybrid Rice
Hybrid RiceHybrid Rice
Hybrid Rice
 
Submergence tolerant rice
Submergence tolerant rice Submergence tolerant rice
Submergence tolerant rice
 
Swamy fcssp
Swamy  fcsspSwamy  fcssp
Swamy fcssp
 
Linkage mapping and QTL analysis_Lab
Linkage mapping and QTL analysis_LabLinkage mapping and QTL analysis_Lab
Linkage mapping and QTL analysis_Lab
 
GRM 2013: MAGIC Rice Multi-parent Advanced Generation Inter-Cross -- H Leung
GRM 2013: MAGIC Rice Multi-parent Advanced Generation Inter-Cross -- H LeungGRM 2013: MAGIC Rice Multi-parent Advanced Generation Inter-Cross -- H Leung
GRM 2013: MAGIC Rice Multi-parent Advanced Generation Inter-Cross -- H Leung
 
0893 Conventional Rice vs SRI - Prospects
0893  Conventional Rice vs SRI - Prospects0893  Conventional Rice vs SRI - Prospects
0893 Conventional Rice vs SRI - Prospects
 
Seminar Presentation-Moon
Seminar Presentation-MoonSeminar Presentation-Moon
Seminar Presentation-Moon
 
R.K. Singh .Breeding for salt tolerance in rice
 R.K. Singh .Breeding for salt tolerance in rice R.K. Singh .Breeding for salt tolerance in rice
R.K. Singh .Breeding for salt tolerance in rice
 
Development of First Multiparent Advanced Generation Inter-cross (MAGIC) Popu...
Development of First Multiparent Advanced Generation Inter-cross (MAGIC) Popu...Development of First Multiparent Advanced Generation Inter-cross (MAGIC) Popu...
Development of First Multiparent Advanced Generation Inter-cross (MAGIC) Popu...
 
MAGIC :Multiparent advanced generation intercross and QTL discovery
MAGIC :Multiparent advanced generation intercross and  QTL discovery MAGIC :Multiparent advanced generation intercross and  QTL discovery
MAGIC :Multiparent advanced generation intercross and QTL discovery
 

Similar to GRM 2013: Dissemination and Community of Practice for newly developed drought tolerant QTLs pyramided lines and Detecting and fine mapping QTLs with major effects on rice yield under drought stress for deployment via marker aided breeding -- A Kumar

" Developing rice varieties with enhanced adaptation to lowland farming syste...
" Developing rice varieties with enhanced adaptation to lowland farming syste..." Developing rice varieties with enhanced adaptation to lowland farming syste...
" Developing rice varieties with enhanced adaptation to lowland farming syste...ExternalEvents
 
Climate change impacts and Adaptation strategies to build the Resilience and ...
Climate change impacts and Adaptation strategies to build the Resilience and ...Climate change impacts and Adaptation strategies to build the Resilience and ...
Climate change impacts and Adaptation strategies to build the Resilience and ...ICRISAT
 
water and nutrient management in safflower
water and nutrient management in safflowerwater and nutrient management in safflower
water and nutrient management in safflowerKasa Kiran Kumar Reddy
 
Krishi Karman Award 2011-12
Krishi Karman Award 2011-12Krishi Karman Award 2011-12
Krishi Karman Award 2011-12Sindhu Vuyyuru
 
Exploiting Yield Potential of Ethiopian Commercial Bread Wheat (Triticum aest...
Exploiting Yield Potential of Ethiopian Commercial Bread Wheat (Triticum aest...Exploiting Yield Potential of Ethiopian Commercial Bread Wheat (Triticum aest...
Exploiting Yield Potential of Ethiopian Commercial Bread Wheat (Triticum aest...CIMMYT
 
Pulses for Harvesting ‘More from Less’ in Dry Areas
Pulses for Harvesting ‘More from Less’ in Dry AreasPulses for Harvesting ‘More from Less’ in Dry Areas
Pulses for Harvesting ‘More from Less’ in Dry AreasICARDA
 
GRM 2011: Phenotyping the sorghum reference set for drought tolerance
GRM 2011: Phenotyping the sorghum reference set for drought toleranceGRM 2011: Phenotyping the sorghum reference set for drought tolerance
GRM 2011: Phenotyping the sorghum reference set for drought toleranceCGIAR Generation Challenge Programme
 
Uganda Groundnut Seed Roadmap TL III Annual Meet
Uganda Groundnut Seed Roadmap TL III Annual MeetUganda Groundnut Seed Roadmap TL III Annual Meet
Uganda Groundnut Seed Roadmap TL III Annual MeetTropical Legumes III
 
Raising Productivity and Enriching Legacy of Heirloom Rice through Empowering...
Raising Productivity and Enriching Legacy of Heirloom Rice through Empowering...Raising Productivity and Enriching Legacy of Heirloom Rice through Empowering...
Raising Productivity and Enriching Legacy of Heirloom Rice through Empowering...Bureau of Agricultural Research
 
R_M_28-03-2017.pptx
R_M_28-03-2017.pptxR_M_28-03-2017.pptx
R_M_28-03-2017.pptxPrakruthiBS3
 
R_M_28-03-2017.pptx
R_M_28-03-2017.pptxR_M_28-03-2017.pptx
R_M_28-03-2017.pptxPrakruthiBS3
 
MOC 6 PP OPS SCHEME DECK.pptx
MOC 6 PP OPS SCHEME DECK.pptxMOC 6 PP OPS SCHEME DECK.pptx
MOC 6 PP OPS SCHEME DECK.pptxMadhusudhanPV
 

Similar to GRM 2013: Dissemination and Community of Practice for newly developed drought tolerant QTLs pyramided lines and Detecting and fine mapping QTLs with major effects on rice yield under drought stress for deployment via marker aided breeding -- A Kumar (20)

" Developing rice varieties with enhanced adaptation to lowland farming syste...
" Developing rice varieties with enhanced adaptation to lowland farming syste..." Developing rice varieties with enhanced adaptation to lowland farming syste...
" Developing rice varieties with enhanced adaptation to lowland farming syste...
 
0851 Socio-Economic and Technological Constraints in Adoption of SRI
0851 Socio-Economic and Technological Constraints in Adoption of SRI0851 Socio-Economic and Technological Constraints in Adoption of SRI
0851 Socio-Economic and Technological Constraints in Adoption of SRI
 
Climate change impacts and Adaptation strategies to build the Resilience and ...
Climate change impacts and Adaptation strategies to build the Resilience and ...Climate change impacts and Adaptation strategies to build the Resilience and ...
Climate change impacts and Adaptation strategies to build the Resilience and ...
 
water and nutrient management in safflower
water and nutrient management in safflowerwater and nutrient management in safflower
water and nutrient management in safflower
 
Krishi Karman Award 2011-12
Krishi Karman Award 2011-12Krishi Karman Award 2011-12
Krishi Karman Award 2011-12
 
Exploiting Yield Potential of Ethiopian Commercial Bread Wheat (Triticum aest...
Exploiting Yield Potential of Ethiopian Commercial Bread Wheat (Triticum aest...Exploiting Yield Potential of Ethiopian Commercial Bread Wheat (Triticum aest...
Exploiting Yield Potential of Ethiopian Commercial Bread Wheat (Triticum aest...
 
Lok prerna jharkhand
Lok prerna jharkhandLok prerna jharkhand
Lok prerna jharkhand
 
20 Hailu Tefera Objective7 Soybean
20  Hailu Tefera  Objective7 Soybean20  Hailu Tefera  Objective7 Soybean
20 Hailu Tefera Objective7 Soybean
 
Pulses for Harvesting ‘More from Less’ in Dry Areas
Pulses for Harvesting ‘More from Less’ in Dry AreasPulses for Harvesting ‘More from Less’ in Dry Areas
Pulses for Harvesting ‘More from Less’ in Dry Areas
 
GRM 2011: Phenotyping the sorghum reference set for drought tolerance
GRM 2011: Phenotyping the sorghum reference set for drought toleranceGRM 2011: Phenotyping the sorghum reference set for drought tolerance
GRM 2011: Phenotyping the sorghum reference set for drought tolerance
 
Pran gaya
Pran gayaPran gaya
Pran gaya
 
Uganda Groundnut Seed Roadmap TL III Annual Meet
Uganda Groundnut Seed Roadmap TL III Annual MeetUganda Groundnut Seed Roadmap TL III Annual Meet
Uganda Groundnut Seed Roadmap TL III Annual Meet
 
Raising Productivity and Enriching Legacy of Heirloom Rice through Empowering...
Raising Productivity and Enriching Legacy of Heirloom Rice through Empowering...Raising Productivity and Enriching Legacy of Heirloom Rice through Empowering...
Raising Productivity and Enriching Legacy of Heirloom Rice through Empowering...
 
R_M_28-03-2017.pptx
R_M_28-03-2017.pptxR_M_28-03-2017.pptx
R_M_28-03-2017.pptx
 
R_M_28-03-2017.pptx
R_M_28-03-2017.pptxR_M_28-03-2017.pptx
R_M_28-03-2017.pptx
 
1307- Managing water for agriculture and food in ACP countries
1307- Managing water for agriculture and food in ACP countries1307- Managing water for agriculture and food in ACP countries
1307- Managing water for agriculture and food in ACP countries
 
Pradan chhattisgarh
Pradan chhattisgarhPradan chhattisgarh
Pradan chhattisgarh
 
Pulses Production in India
 Pulses Production in India Pulses Production in India
Pulses Production in India
 
MOC 6 PP OPS SCHEME DECK.pptx
MOC 6 PP OPS SCHEME DECK.pptxMOC 6 PP OPS SCHEME DECK.pptx
MOC 6 PP OPS SCHEME DECK.pptx
 
IFPRI- Pulses, People, Production and Profit in rainfed Jharkhand and Rajasth...
IFPRI- Pulses, People, Production and Profit in rainfed Jharkhand and Rajasth...IFPRI- Pulses, People, Production and Profit in rainfed Jharkhand and Rajasth...
IFPRI- Pulses, People, Production and Profit in rainfed Jharkhand and Rajasth...
 

More from CGIAR Generation Challenge Programme

ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...CGIAR Generation Challenge Programme
 
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...CGIAR Generation Challenge Programme
 
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...CGIAR Generation Challenge Programme
 
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...CGIAR Generation Challenge Programme
 
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...CGIAR Generation Challenge Programme
 
TLM III: : Improve common bean productivity for marginal environments in su...
TLM III: :   Improve common bean productivity for marginal environments in su...TLM III: :   Improve common bean productivity for marginal environments in su...
TLM III: : Improve common bean productivity for marginal environments in su...CGIAR Generation Challenge Programme
 
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...CGIAR Generation Challenge Programme
 
TLM III: Improve cowpea productivity for marginal environments in sub-Sahara...
TLM III: Improve cowpea productivity for marginal  environments in sub-Sahara...TLM III: Improve cowpea productivity for marginal  environments in sub-Sahara...
TLM III: Improve cowpea productivity for marginal environments in sub-Sahara...CGIAR Generation Challenge Programme
 
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...CGIAR Generation Challenge Programme
 
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...CGIAR Generation Challenge Programme
 
Adoption of modern breeding tools in developing countries: challenges and opp...
Adoption of modern breeding tools in developing countries: challenges and opp...Adoption of modern breeding tools in developing countries: challenges and opp...
Adoption of modern breeding tools in developing countries: challenges and opp...CGIAR Generation Challenge Programme
 
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...CGIAR Generation Challenge Programme
 
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...CGIAR Generation Challenge Programme
 
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...CGIAR Generation Challenge Programme
 
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)2011: Introduction to the CGIAR Generation Challenge Programme (GCP)
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)CGIAR Generation Challenge Programme
 
Working with diversity in international partnerships -- The GCP experience --...
Working with diversity in international partnerships -- The GCP experience --...Working with diversity in international partnerships -- The GCP experience --...
Working with diversity in international partnerships -- The GCP experience --...CGIAR Generation Challenge Programme
 
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...CGIAR Generation Challenge Programme
 
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...CGIAR Generation Challenge Programme
 

More from CGIAR Generation Challenge Programme (20)

Capacity Building: Gain or Drain? J-M Ribaut, F Okono and NN Diop
Capacity Building: Gain or Drain? J-M Ribaut, F Okono and NN DiopCapacity Building: Gain or Drain? J-M Ribaut, F Okono and NN Diop
Capacity Building: Gain or Drain? J-M Ribaut, F Okono and NN Diop
 
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2008: Dissection, characterisation and utilisation of disease QTL -- R Ne...
 
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
ARM 2007: Dissection, characterisation and utilisation of disease QTL -- R Ne...
 
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...
The Generation Challenge Programme: Lessons learnt relevant to CRPs, and the ...
 
Lessons learnt from the GCP experience – J-M Ribaut
Lessons learnt from the GCP experience – J-M RibautLessons learnt from the GCP experience – J-M Ribaut
Lessons learnt from the GCP experience – J-M Ribaut
 
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
 
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
Integrated Breeding Platform (IBP): A user-friendly platform to implement the...
 
TLM III: : Improve common bean productivity for marginal environments in su...
TLM III: :   Improve common bean productivity for marginal environments in su...TLM III: :   Improve common bean productivity for marginal environments in su...
TLM III: : Improve common bean productivity for marginal environments in su...
 
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
TLM III: Improve groundnut productivity for marginal environments from sub-Sa...
 
TLM III: Improve cowpea productivity for marginal environments in sub-Sahara...
TLM III: Improve cowpea productivity for marginal  environments in sub-Sahara...TLM III: Improve cowpea productivity for marginal  environments in sub-Sahara...
TLM III: Improve cowpea productivity for marginal environments in sub-Sahara...
 
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
TLIII: Overview of TLII achievements, lessons and challenges for Phase III – ...
 
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
 
Adoption of modern breeding tools in developing countries: challenges and opp...
Adoption of modern breeding tools in developing countries: challenges and opp...Adoption of modern breeding tools in developing countries: challenges and opp...
Adoption of modern breeding tools in developing countries: challenges and opp...
 
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
PAG XXII 2014 – The Breeding Management System (BMS) of the Integrated Breedi...
 
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
 
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
PAG XXII 2014 – Genomic resources applied to marker-assisted breeding in cowp...
 
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)2011: Introduction to the CGIAR Generation Challenge Programme (GCP)
2011: Introduction to the CGIAR Generation Challenge Programme (GCP)
 
Working with diversity in international partnerships -- The GCP experience --...
Working with diversity in international partnerships -- The GCP experience --...Working with diversity in international partnerships -- The GCP experience --...
Working with diversity in international partnerships -- The GCP experience --...
 
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, ...
 
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
GRM 2013: Improving sorghum productivity in semi-arid environments of Mali th...
 

Recently uploaded

The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 

Recently uploaded (20)

The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 

GRM 2013: Dissemination and Community of Practice for newly developed drought tolerant QTLs pyramided lines and Detecting and fine mapping QTLs with major effects on rice yield under drought stress for deployment via marker aided breeding -- A Kumar

  • 1. Arvind Kumar Dissemination and Community of Practice for newly developed drought tolerant QTLs pyramided lines G4011.04 Detecting and fine mapping QTLs with major effects on rice yield under drought stress for deployment via marker aided breeding G3007.05
  • 2. Outlines • Major QTLs for grain yield under drought in background of high yielding popular varieties • Marker assisted introgression and pyramiding of QTLs in popular varieties Vandna, IR64, Sambha Mahsuri, Swarna • Is rice different from other cereals for gains in yield under drought? • Products, partners, capacity building • Conclusions
  • 3. Major QTLs for grain yield under drought • Efforts initiated in 2002-03 • Based on grain yield per se • To identify large effect QTLs in the background of high yielding popular varieties • Validate effect of identified QTLs in different environments, different genetic backgrounds • Up to 2013, studied over 50 mapping populations (17 publications just on QTL identification: Bernier et al. 2007, Venuprasad et al. 2009, Bernier et a. 2009, Venuprasad et al. 2009A, Venuprasad et al. 2009B, Vikram t al. 2011, Swamy et al. 2011, Dixit et al. 2012, Ghimire et al. 2012, Vikram et al. 2012, Dixit et al., 2012, Mishra et al. 2013, Yadaw et al. 2013, Swamy et al. 2013, Dixit et al. Sub, Alvin et al. Subm., Nitika et al. Subm.) 2013DS, IRRI
  • 4. QTLs Donors Backgrounds Ecosystems qDTY1.1 N22, Dhagaddeshi, Apo, CT9993- 10-1-M, Kali Aus, Basmati 334 Swarna, IR64, MTU1010 Lowland, Upland qDTY2.1 Apo, AUS 276 Swarna, MTU1010 Lowland qDTY2.2 Aday sel, Kali Aus MTU1010, IR64, Sambha Mahsuri Lowland, Upland qDTY2.3 N22, IR74371-46-1-1 IR64, Sabitri Upland, Lowland qDTY3.1 Apo, IR55419-04 Swarna, TDK 1 Lowland qDTY3.2 N22, IR772978-5-6-18, IR74371- 46-1-1, Moroberekan Swarna, Sabitri Lowland, Upland qDTY4.1 Aday Sel IR64, Sambha Mahsuri Lowland qDTY6.1 Apo, Vandna, IR55419-04 Swarna, IR72, TDK 1 Upland, Lowland qDTY6.2 IR55419-04 TDK 1 Lowland qDTY8.1 Basmati 334 Swarna Lowland qDTY9.1 Aday sel IR64 Lowland qDTY10.1 N22, Aday sel, Basmati 334 IR64, MTU1010, Swarna Lowland qDTY11.1 IR55419-04 Sambha Mahsuri Lowland qDTY12.1 Way Rarem, IR74371-46-1-1 Vandna, Sabitri Upland, Lowland QTLs for GY under drought identified at IRRI
  • 5. Major QTLs: grain yield under drought in rice Over all picture on QTL study: • Fourteen QTLs identified • Nine QTLs: showed effect against two or more genetic backgrounds. • Six : showed effect in both lowland and upland ecosystem • Six QTLs: showed effect against two or more genetic backgrounds as well as in both lowland and upland ecosystems In the background of popular high yielding variety: • 5 QTLs: qDTY1.1, qDTY2.1,qDTY3.1, qDTY3.2 and qDTY8.1 in Swarna; • 4 QTLs: qDTY2.2, qDTY4.1, qDTY9.1, qDTY10.1, qDTY1.1, qDTY2.3 in IR64; • 2 QTLs: qDTY12.1, qDTY3.1 in Sabitri; • 3 QTLs: qDTY2.1, qDTY1.1, and qDTY10.1 in MTU1010; • 3 QTLs: qDTY11.1, qDTY2.2, qDTY2.3 in Sambha Mahsuri; • 3 QTLs: qDTY3.1, qDTY6.1,, qDTY6.2 in TDK 1;
  • 6. Way Rarem Vandana IR90020:22-283-B-4-B Genotypes Upland severe stress Upland non- stress GY DTF PHT BIO HI GY DTF PHT BIO HI IR 84984-83-15-481-B 693 64 75 4160 0.17 2525 62 79 9584 0.29 IR 84984-21-19-78-B 478 66 74 3333 0.13 2996 65 89 10769 0.31 IR 90020:22-283-B-1-B 604 66 79 4160 0.14 3039 66 85 11610 0.29 IR 90020:22-283-B-4-B 515 67 77 4133 0.21 2245 68 84 7579 0.27 Vandana 27 70 79 2080 0.09 2127 68 91 10498 0.34 Apo 0.1 NF 57 226.7 0 2127 80 101 NA NA SED 240 4 8 2151 0.13 813 5 8 3781 0.09 H 78.6 61.1 35.5 23.7 28.6 54.1 88.7 75.7 44.8 67.2 Apo qDTY12.1introgressed in Vandna
  • 7. DESIGNATION DTF-C DTF-D GY- C GY-D IR 84984-83-15-110-B 62 80 5249 2099 IR 84984-83-15-481-B 61 78 5670 2343 IR 84984-83-15-862-B 62 79 4932 2146 IR 90019:17-159-B 60 78 4775 2268 IR 90019:22-283-B 60 78 5208 2410 VANDNA 60 81 4348 1799 WAY RAREM 90 90 4649 868 MEAN 64 81 4976 1998 LSD0.05 2 2 284 922 Vandna NIL lines yield in India Vandna NILs are under testing in state trials in Jharkhand for possible release in 2015.
  • 8. VandnaIR 84984-83-15-481-B Hazaribag, India, 2011 WS First case of yield increase of a drought tolerant cultivar Increase in yield 9-30% in irrigated condition; 16-33% in moderate drought; 1670 - 2466% in severe drought
  • 9. qDTY2.2, qDTY4.1 introgressed in IR64 IR64+ QTL line Drought Stress 2011DS, IRRI Non-Stress 2011 DS, IRRI + QTL line IR64 IR64 QTL lines tested at 14 locations in India under AICRIP program; Nepal (03), Bangladesh (01) and are in the process of being released as varieties in India, Nepal and Bangladesh
  • 10. IR64 QTL line with qDTY2.2, qDTY4.1 under drought at IRRI: 2013DS
  • 11. ENTRY Rajsh ahi Nepal ganj Raipur Hydera bad SS Hydera bad MS Hazari bag Rewa IR87707-445-B-B 1525 3472 3956 1684 3800 1604 3731 IR87707-446-B-B 1933 2847 3614 1813 4057 1229 3899 IR87707-182-B-B 1508 2778 3419 1383 3604 1500 3509 IR 64 980 1597 2662 660 3085 958 2503 Trial mean 1269 2871 3413 1339 3636 1323 3410 LSD0.05 312 340 570 1878 1200 844 1818 IR64 QTLs lines yield: India, Nepal, Bangladesh 2012WS ENTRY Rajshahi Nepalganj Raipur Rewa Faizabad IR87707-446-B-B 4167 5990 5084 4100 5439 IR87707-445-B-B 4521 6302 5771 4911 6199 IR87707-182-B-B 4312 5078 5646 4513 6141 IR 64 3379 4297 4083 3586 4291 Trial mean 4011 5687 4694 3962 5323 LSD0.05 480 648 868 1840 528 GY under drought GY under irrigated situation Irrigated control -14-46% increase; Mild drought – 16-23% increase, Moderate drought- 28-117% increase; Severe drought – 53-155% increase Likely to be released in India, Nepal in 2013-14, Bangladesh 2015
  • 12. IR64IR 87707-445- B-B-B IR 87707-182- B-B-B CRURRS, Hazaribag, India 2011 WS Performance of IR64 QTL lines under drought
  • 13. qDTY2.2, qDTY4.1 introgressed in Sambha Mahsuri: IRRI 2013DS Line DTF-C HT-C GYKGPHA-D IR99742-1-39-4-63 82 90 2063 IR99742-2-23-7-17 79 79 1979 IR99742-1-33-3-229 96 93 1814 IR99742-1-14-2-87 76 78 1753 IR99742-1-39-4-147 84 78 1649 IR99742-1-14-2-53 79 88 1582 IR99742-1-33-3-228 90 80 1559 IR99742-2-23-7-135 80 72 1447 IR99742-1-61-6-10 81 84 1368 IR99742-1-39-4-83 80 91 1352 IR99742-1-33-3-158 79 86 1340 Sambha Mahsuri 100 88 0 LSD0.05 970
  • 14. Chr QTL Additive Effect Trait Donor 11 q DTY11.1 15% Yield -S IR55419-04 3 and 6 qDTY3.1 , q DTY6.1 35% Yield -S IR55419-04 3 qBl3.1 - Blast IR55419-04 MARS: Improving yield under drought and blast resistance Second cycle of recurrent selection Total samples: 7013, Samba Mahsuri grain type: 38, slender, longer than Samba Mahsuri: 1045. 850 introgression lines with QTLs fixed, in different combinations and having grain quality similar to Samba Mahsuri, high grain weight selected First cycle of recurrent selection LIKE SAMBA MAHSURI SAMBA MAHSURI LONGER, SLENDER THAN SAMBA MAHSURI
  • 15. qDTY12.1, qDTY2.3, qDTY3.2 introgressed in IR64: Earlier shown effect in upland in Vandna in upland ENTRY DTF -C HT -C GY-C GY-D IR99621-78-25 73 83 5460 3047 IR99621-33-1 76 123 6352 2947 IR99621-33-17 76 84 5605 2939 IR99621-33-11 77 124 5473 2929 IR99621-33-19 78 88 5864 2809 IR99621-33-15 78 127 5479 2743 IR99621-115-17 77 135 5231 2582 IR99621-115-26 78 127 6758 2527 IR64 79 87 4846 1607 LSD0.05 3 8 1556 801 H 75.7 97.6 70.1 76.2
  • 16. Drought + Submergence Swarna: India 2013 DS Entry DTF-C HT-C GY-D Submergence IR96321-1686-199-B 106 68 2055 Tolerant IR96321-315-325-B 109 64 2610 Tolerant IR96321-1447-561-B 110 68 2438 Tolerant Swarna 116 53 551 Susceptible Swarna sub1 118 51 401 Tolerant Designation DTF-C HT-C GY-D IR94313:19-36-3-4-2-B 92 90 3474 IR94313:18-4-1-4-1-B 89 83 2852 IR94314-20-2-2-B 100 77 2834 IR88287-600-1-B-B-1-3-B 107 80 2508 IR94314-20-5-2-B 95 78 2767 IR94314-20-11-2-B 111 76 3055 IR94391-856-1-2-B 95 90 2741 Swarna 112 64 557 Swarna Sub1 110 61 456 LSD0.05 16 11 1230 Non-Swarna type drought tolerant lines: India, 2013DS
  • 17. IR 74371-70-1-1:Sahbhagi dhan, BRRI dhan 56, Sookha dhan 3 • A variety of 105-110 days duration, high yielding, good grain quality variety • Developed through conventional breeding • Possess root plasticity trait • Suitable to cultivation under both dry direct seeded upland or lowland as well as transplanted lowland situations- Need to provide such variety for planting flexibility to farmers • Provides yield advantage of 0.8-1.2 t/ha over currently grown varieties: IRRI, India, famers field in India, Nepal and Bangladesh Identified RF-GCP:-FS022 Released:G3007.05 Dissemination:G4011.04
  • 18. 0 500 1000 1500 2000 2500 3000 Vandna IR64 SambhaMahsuri Swarna Grainyield(kg/ha) recipient parent NIL DTY12.1 DTY2.2 + DTY4.1 DTY1.1+DTY3.1+DTY2.1 Is rice different from other cereals?: response to GY under drought • Yield increase under drought to the tune of 0.5- 2.0 t/ha • Grown in diverse conditions- upland-lowland-deepwater • Rice grown in uplands have conserved regions for better response under drought. Rice is uniquely placed to move the alleles from upland to lowland to obtain high yield advantage under drought
  • 19. Products, partners, capacity building • Sahbhagi dhan, a drought tolerant variety in India, Bangladesh, Nepal • Major QTLs for GY under drought • Improved Vandna with 0.5 t/ha increased yield under drought • Improved IR64 with 0.8 -1.2 t/ha increased yield under drought • Improved Sambha Mahsuri with 1.0 -1.5 t/ha improved yield under drought • Two Ph.D. Scholars, NARS partners trained, 02 rainout shelters to partners • Linkage with scientific community
  • 20. Conclusions • Major QTLs for Grain yield under drought with effect in multiple high yielding genetic background, diverse- upland, lowland ecosystems identified in rice. • Identified QTLs introgressed and pyramided in popular rice varieties of South Asia- Vandna, IR64, Sambha Mahsuri, Swarna. Introgression in 5 other varieties in progress • Introgressed QTLs effect higher than predicted in QTL analysis. Effect also observed in irrigated situation not detected in QTL study, could also result from selection of positive interactions/ effect of QTLs in background of improved varieties with less linkage drags • Large effect QTLs, MAS + practical breeding, larger population size, linkage breakage/positive use of existing linkage, standardized managed drought screening key to success
  • 21. Thank you very much for your kind attention Thanks to GCP for all support over years, hope it continues