SlideShare a Scribd company logo
1 of 23
Download to read offline
TL 1
Objective 3: Improve common bean productivity
for marginal environments in sub-Saharan Africa
Bodo Raatz
CIAT
Lisboa, September 2013
• .
Using markers for
biotic stress resistance
SNP genotpying:
Tm shift assay
A
G
from Wang et al. 2005°C
resistant
susceptible• Based on SNP-specific
primers
• Genotyping by melting
point analysis
• No fluorescent
primers required
C-A
BCMV: bc-3 candidate gene: eIF4E
NADERPOUR et al. MOLECULAR PLANT PATHOLOGY (2010)
primer 1
C
primer 2
A
primer reverse
BCMV: bc-3 Tms marker
resistent
susceptible
no call
all
Storage insects:
bruchid resistance
Bruchids (Zabrotes
subfasciatus)
PV-ATCT001, Yu et al, 2000
Dissociation Curve
APA gene
R
S
80 84
Common Bacterial Blight (CBB)
MAS with
• SU91 on Chr8 (Pedraza et al.
1997)
• SAP6 on Chr10 (Miklas et al.
2006)
Bacterial blight:
Xanthomonas
CBB resistance QTLs
Marker conversions
Chr Position G35346 AFR298 AND696 G10474 G40001 G5686 MD23-24 SEA5 VAX1
Chr01 219,278.00 T A A A A A A A A
Chr01 219,650.00 T C C C C C C C C
Chr01 219,722.00 T C C C C C C C C
Chr01 219,749.00 G A A A A A A A A
Chr01 219,950.00 C T T T T T T T T
Chr01 219,952.00 T A A A A A A A A
Chr01 220,668.00 T A A A A A A A A
Chr01 221,020.00 G C C C C C C C C
Chr01 252,386.00 C G G G G G G G G
Chr01 252,420.00 T A A A A A A A A
Chr01 253,519.00 A T T T T T T T T
Chr01 253,526.00 T G G G G G G G G
Chr01 253,542.00 C T T T T T T T T
Chr01 258,082.00 C G G G G G G G G
Chr01 264,339.00 C T T T T T T T T
Chr01 265,119.00 T G G G G G G G G
Chr01 265,168.00 T G G G G G G G G
Chr01 265,336.00 A G G G G G G G G
Chr01 265,418.00 C G G G G G G G G
Chr01 265,713.00 C T T T T T T T T
Chr01 265,722.00 C T T T T T T T T
Chr01 266,882.00 C A A A A A A A A
Chr01 267,398.00 A G G G G G G G G
Chr01 267,562.00 C A A A A A A A A
Chr01 267,688.00 T C C C C C C C C
Chr01 267,727.00 T A A A A A A A A
Chr01 268,418.00 C G G G G G G G G
Chr01 268,648.00 A C C C C C C C C
Chr01 271,111.00 A G G G G G G G G
Chr01 271,132.00 T C C C C C C C C
Chr01 271,437.00 A G G G G G G G G
Chr01 271,644.00 T C C C C C C C C
Chr01 272,223.00 G C C C C C C C C
Chr01 272,579.00 G A A A A A A A A
Chr01 272,645.00 G C C C C C C C C
Jorge et al
SNP sources:
• 1500 SNP set
BeanCAP
• 9 genotypes
sequenced
Angular Leaf Spot
Marker: Sc267437
Chr 8
G10474
Marker: P50
Chr. 4
G5686
• SNP based on SSR markers
confirmed and converted
• Finemapping on Chr 4
– Resistance gene 43.5 – 43.9 Mbp
42.0 42.5 43.0 43.5 44.0 44.5 45
0
2
4
6
8
Chromosome 4 (Mbp)
LODscore
Beat Keller, 2013
Bean Stem Maggot
• QTL mapping underway
• 100 additional SNPs genotyped (Daniel Ambachew)
• BSM evaluations in Zimbabwe, Malawi and Ethiopia
tolerant susceptible
Maps for DOR x BAT
SER16 x G35346
Drought tolerance
and root traits
-1
Yield Root traits
QTL analysis Federico Velasquez
Map for SEA x MD
MARS
• PhD thesis of Fitsum Alemayehu SARI,
Ethiopia
• Population of ~200 Lines
• Phenotyping drought & irrigated at 4
locations
– 2x Palmira, 2x Ethiopia
• Genotyping:
– Kbio/LGC ~150 SNP markers
– additional 14.000 fluidigmdata points
• Marker Analysis in progress
– DNAs sent, extracted from seed
(CAL 143xSAB 620) X SAB 626 (SAB 628xCAL 143) X SAB 659 (SAB 628xCAL 143) X SAB 686
G 12229 x AND 277
CAL143
(ABA 58x AFR298)F1xSAB258(COS 16 x AFR298)F1 x SAB258
SAB258 ABA58AFR298COS16
41 lines 54 lines 30 lines
26 lines 42 lines
F5
F5F1: CAL 143xSAB 620
F1: SAB 628xCAL 143
F1: ABA 58x AFR298
F1: COS 16 x AFR298F1F1F1
F1
F1
SAB620 SAB626 SAB628 SAB659 SAB686
MARS
MAGIC
• 8-parental population established
• F4:6 Phenotyping started in July
• Genotyping: DNA ready to send for GBS
SXB 412 INB 827 ALB 213 SEN 56 SCR 2 MIB 778 SCR 9 INB 841
79 F1 5 F1 38 F1 99 F1
323 F1
272 F1
728 F1
500 selected
499 F2
996 F3 families
926 F4.5 families
926 F4:6 families
MAGIC population in common bean
(mesoamerican gene pool)
Genotype individuals
Drought phenotyping
MAGIC
• 648 genotypes in current drought trial
Breeding products
Relationship between irrigated and rainfed grain yield of 36 common bean
genotypes grown under field conditions at CIAT-Colombia (2013)
AFR298
CAL143
CAL96
DAB 231
DAB 233
DAB 236
DAB 244
DAB 251
DAB 252
DAB 256
DAB 258
DAB 267
DAB 277
DAB 295
DAB 344
DAB 353
DAB 366
DAB 374DAB 380
DAB 384
DAB 396
DAB 398
DAB 402
DAB 441DAB 489 DAB 494 DAB 514
DAB 520 DAB 525
DAB 528
DAB 534
DAB 541
DAB 545
DAB 549
DAB 555
KATB1
0
200
400
600
800
1000
1200
2000 2500 3000 3500 4000 4500
droughtYDHA
irrigated YPDA
2013 YDHA
Data management
• Adopting defined file formats
• Adopting barcoding
• Adopting use of barcoding for seed storage
organization
• Training of partners to adopt defined file
formats
Sheet 1 Sheet 2
Trial data
Controlled vocabulary
trait dictionary
Metadata
• Sowing date
• Location
• Person in charge
Capacity building
• Workshop with 30+ breeders in
Kawanda
• 2 workshops at CIAT (n ~20)
• Fitsum Alemayehu (phd student,
Ethiopia) visited CIAT for 3 months.
Conclusions
• MAS for biotic stress moving toward routine
• MAGIC and MARS moving forward
• Advanced lines show improved yield under
drought
• Data Management moving towards adoption
• Capacity building ongoing
Anticipated impact: improved germplasm …
View to the future
• Unite TL 1 and TL2 activities
• Technology changes
– GBS: for fingerprinting, population genotyping
– genomic selection
• Fingerprinting / Forensics
– Specific projects need to be defined
– Impact studies
– software
• Organizational changes
– Extend work with partners
– Data management -software
– Links to
• Soils work, agronomy
• Other downstream activities
Thank you for your attention!
SARI Ethiopia
SARI SELIAN Tanzania
DARS Malawi
DR&SS Zimbabwe
KARI Kenya
CIAT Africa

More Related Content

What's hot

Gene editing with CRISPR/Cas9: sorghum as a case study
Gene editing with CRISPR/Cas9: sorghum as a case studyGene editing with CRISPR/Cas9: sorghum as a case study
Gene editing with CRISPR/Cas9: sorghum as a case studyapaari
 
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...ICRISAT
 
GRM 2013: Improving and deploying markers for biotic stresses in cassava -- C...
GRM 2013: Improving and deploying markers for biotic stresses in cassava -- C...GRM 2013: Improving and deploying markers for biotic stresses in cassava -- C...
GRM 2013: Improving and deploying markers for biotic stresses in cassava -- C...CGIAR Generation Challenge Programme
 
A Strategy to Tackle Rust Menace: Integrating MAS with Breeding for Durable R...
A Strategy to Tackle Rust Menace: Integrating MAS with Breeding for Durable R...A Strategy to Tackle Rust Menace: Integrating MAS with Breeding for Durable R...
A Strategy to Tackle Rust Menace: Integrating MAS with Breeding for Durable R...Borlaug Global Rust Initiative
 
Jan2016 seracare giab update d yuzuki
Jan2016 seracare giab update d yuzukiJan2016 seracare giab update d yuzuki
Jan2016 seracare giab update d yuzukiGenomeInABottle
 
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
 
Base editing in plants
Base editing in plantsBase editing in plants
Base editing in plantsDivya S
 
CRISPR Agbio San Diego April 2017 Agenda
CRISPR Agbio San Diego April 2017 AgendaCRISPR Agbio San Diego April 2017 Agenda
CRISPR Agbio San Diego April 2017 AgendaDiane McKenna
 
Genome Editing CRISPR-Cas9
Genome Editing CRISPR-Cas9 Genome Editing CRISPR-Cas9
Genome Editing CRISPR-Cas9 Ek Han Tan
 
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
 
Multi Target Gene Editing using CRISPR Technology for Crop Improvement
Multi Target Gene Editing using CRISPR Technology for Crop ImprovementMulti Target Gene Editing using CRISPR Technology for Crop Improvement
Multi Target Gene Editing using CRISPR Technology for Crop ImprovementTushar Gajare
 
Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...ICRISAT
 
GENASSIST™ CRISPR & rAAV Genome Editing Tools
GENASSIST™ CRISPR & rAAV Genome Editing ToolsGENASSIST™ CRISPR & rAAV Genome Editing Tools
GENASSIST™ CRISPR & rAAV Genome Editing ToolsCandy Smellie
 
Crop genetic improvement and utilization in china. xinhai li
Crop genetic improvement and utilization in china. xinhai liCrop genetic improvement and utilization in china. xinhai li
Crop genetic improvement and utilization in china. xinhai liExternalEvents
 
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...Candy Smellie
 
Making the cut with CRISPR
Making the cut with CRISPRMaking the cut with CRISPR
Making the cut with CRISPREdward Perello
 
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...ICRISAT
 

What's hot (20)

Gene editing with CRISPR/Cas9: sorghum as a case study
Gene editing with CRISPR/Cas9: sorghum as a case studyGene editing with CRISPR/Cas9: sorghum as a case study
Gene editing with CRISPR/Cas9: sorghum as a case study
 
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
 
GRM 2013: Improving and deploying markers for biotic stresses in cassava -- C...
GRM 2013: Improving and deploying markers for biotic stresses in cassava -- C...GRM 2013: Improving and deploying markers for biotic stresses in cassava -- C...
GRM 2013: Improving and deploying markers for biotic stresses in cassava -- C...
 
A Strategy to Tackle Rust Menace: Integrating MAS with Breeding for Durable R...
A Strategy to Tackle Rust Menace: Integrating MAS with Breeding for Durable R...A Strategy to Tackle Rust Menace: Integrating MAS with Breeding for Durable R...
A Strategy to Tackle Rust Menace: Integrating MAS with Breeding for Durable R...
 
CRISPR mediated haploid inducer stock development in rice
CRISPR mediated haploid inducer stock development in riceCRISPR mediated haploid inducer stock development in rice
CRISPR mediated haploid inducer stock development in rice
 
Jan2016 seracare giab update d yuzuki
Jan2016 seracare giab update d yuzukiJan2016 seracare giab update d yuzuki
Jan2016 seracare giab update d yuzuki
 
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...
 
Base editing in plants
Base editing in plantsBase editing in plants
Base editing in plants
 
CRISPR Agbio San Diego April 2017 Agenda
CRISPR Agbio San Diego April 2017 AgendaCRISPR Agbio San Diego April 2017 Agenda
CRISPR Agbio San Diego April 2017 Agenda
 
Genome Editing CRISPR-Cas9
Genome Editing CRISPR-Cas9 Genome Editing CRISPR-Cas9
Genome Editing CRISPR-Cas9
 
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...
 
Multi Target Gene Editing using CRISPR Technology for Crop Improvement
Multi Target Gene Editing using CRISPR Technology for Crop ImprovementMulti Target Gene Editing using CRISPR Technology for Crop Improvement
Multi Target Gene Editing using CRISPR Technology for Crop Improvement
 
Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...
 
GENASSIST™ CRISPR & rAAV Genome Editing Tools
GENASSIST™ CRISPR & rAAV Genome Editing ToolsGENASSIST™ CRISPR & rAAV Genome Editing Tools
GENASSIST™ CRISPR & rAAV Genome Editing Tools
 
Crop genetic improvement and utilization in china. xinhai li
Crop genetic improvement and utilization in china. xinhai liCrop genetic improvement and utilization in china. xinhai li
Crop genetic improvement and utilization in china. xinhai li
 
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
 
Levitan
LevitanLevitan
Levitan
 
Making the cut with CRISPR
Making the cut with CRISPRMaking the cut with CRISPR
Making the cut with CRISPR
 
CRISPR /Cas9
CRISPR /Cas9CRISPR /Cas9
CRISPR /Cas9
 
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
Research Program Genetic Gains (RPGG) Review Meeting 2021: From Discovery to ...
 

Similar to TLM III: : Improve common bean productivity for marginal environments in sub-Saharan Africa - C Mukankusi

2013 GRM: Improve chickpea productivity for marginal environments in sub-Sah...
2013 GRM: Improve chickpea productivity for marginal environments in  sub-Sah...2013 GRM: Improve chickpea productivity for marginal environments in  sub-Sah...
2013 GRM: Improve chickpea productivity for marginal environments in sub-Sah...CGIAR Generation Challenge Programme
 
Next generation genomics for chickpea (Cicer arietinum L.) improvement
Next generation genomics for chickpea (Cicer arietinum L.) improvementNext generation genomics for chickpea (Cicer arietinum L.) improvement
Next generation genomics for chickpea (Cicer arietinum L.) improvementICRISAT
 
Sustaining and projecting genetic diversity: Potatoes adapted to changing needs
Sustaining and projecting genetic diversity: Potatoes adapted to changing needsSustaining and projecting genetic diversity: Potatoes adapted to changing needs
Sustaining and projecting genetic diversity: Potatoes adapted to changing needsInternational Potato Center
 
GRM 2013: Delivering drought tolerance to those who need it: From genetic res...
GRM 2013: Delivering drought tolerance to those who need it: From genetic res...GRM 2013: Delivering drought tolerance to those who need it: From genetic res...
GRM 2013: Delivering drought tolerance to those who need it: From genetic res...CGIAR Generation Challenge Programme
 
ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...
ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...
ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...ICRISAT
 
Gene discovery application_rice
Gene discovery application_riceGene discovery application_rice
Gene discovery application_riceCIAT
 
GRM 2013: Improve groundnut productivity for marginal environments from Sub-S...
GRM 2013: Improve groundnut productivity for marginal environments from Sub-S...GRM 2013: Improve groundnut productivity for marginal environments from Sub-S...
GRM 2013: Improve groundnut productivity for marginal environments from Sub-S...CGIAR Generation Challenge Programme
 
Science-based approaches for efficient conservation and use of genetic resources
Science-based approaches for efficient conservation and use of genetic resourcesScience-based approaches for efficient conservation and use of genetic resources
Science-based approaches for efficient conservation and use of genetic resourcesICARDA
 
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
 
The chromosome scale assembly of sugar beet line FC309 enables the identifica...
The chromosome scale assembly of sugar beet line FC309 enables the identifica...The chromosome scale assembly of sugar beet line FC309 enables the identifica...
The chromosome scale assembly of sugar beet line FC309 enables the identifica...oetodd
 
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...CGIAR Generation Challenge Programme
 
Antagonistic Interactions Among Stripe and Stem Rust Resistance QTLs in Wheat
Antagonistic Interactions Among Stripe and Stem Rust Resistance QTLs in WheatAntagonistic Interactions Among Stripe and Stem Rust Resistance QTLs in Wheat
Antagonistic Interactions Among Stripe and Stem Rust Resistance QTLs in WheatBorlaug Global Rust Initiative
 
Towards fine mapping of drought tolerance related QTL region in chickpea usin...
Towards fine mapping of drought tolerance related QTL region in chickpea usin...Towards fine mapping of drought tolerance related QTL region in chickpea usin...
Towards fine mapping of drought tolerance related QTL region in chickpea usin...ICRISAT
 

Similar to TLM III: : Improve common bean productivity for marginal environments in sub-Saharan Africa - C Mukankusi (20)

2013 GRM: Improve chickpea productivity for marginal environments in sub-Sah...
2013 GRM: Improve chickpea productivity for marginal environments in  sub-Sah...2013 GRM: Improve chickpea productivity for marginal environments in  sub-Sah...
2013 GRM: Improve chickpea productivity for marginal environments in sub-Sah...
 
Next generation genomics for chickpea (Cicer arietinum L.) improvement
Next generation genomics for chickpea (Cicer arietinum L.) improvementNext generation genomics for chickpea (Cicer arietinum L.) improvement
Next generation genomics for chickpea (Cicer arietinum L.) improvement
 
SASM 2013 KHANTSI M- ACCD
SASM 2013 KHANTSI M- ACCDSASM 2013 KHANTSI M- ACCD
SASM 2013 KHANTSI M- ACCD
 
Sustaining and projecting genetic diversity: Potatoes adapted to changing needs
Sustaining and projecting genetic diversity: Potatoes adapted to changing needsSustaining and projecting genetic diversity: Potatoes adapted to changing needs
Sustaining and projecting genetic diversity: Potatoes adapted to changing needs
 
Complex genetic structure of african cassava and genetic architecture of key ...
Complex genetic structure of african cassava and genetic architecture of key ...Complex genetic structure of african cassava and genetic architecture of key ...
Complex genetic structure of african cassava and genetic architecture of key ...
 
GRM 2011: Improving cowpea productivity in Africa - J Ehlers
GRM 2011: Improving cowpea productivity in Africa - J EhlersGRM 2011: Improving cowpea productivity in Africa - J Ehlers
GRM 2011: Improving cowpea productivity in Africa - J Ehlers
 
LAMP- Daignostic assay
LAMP- Daignostic assayLAMP- Daignostic assay
LAMP- Daignostic assay
 
GRM 2013: Delivering drought tolerance to those who need it: From genetic res...
GRM 2013: Delivering drought tolerance to those who need it: From genetic res...GRM 2013: Delivering drought tolerance to those who need it: From genetic res...
GRM 2013: Delivering drought tolerance to those who need it: From genetic res...
 
GRM 2011: Sorghum Research Initiative progress report
GRM 2011: Sorghum Research Initiative progress reportGRM 2011: Sorghum Research Initiative progress report
GRM 2011: Sorghum Research Initiative progress report
 
ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...
ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...
ICRISAT Global Planning Meeting 2019:Research Program - Genetic Gains by Dr R...
 
Monday theme 4 1545 1600 small briefing room soboka
Monday theme 4 1545 1600 small briefing room sobokaMonday theme 4 1545 1600 small briefing room soboka
Monday theme 4 1545 1600 small briefing room soboka
 
005 gene discovery and its application in rice, mathias lorieux
005   gene discovery and its application in rice, mathias lorieux005   gene discovery and its application in rice, mathias lorieux
005 gene discovery and its application in rice, mathias lorieux
 
Gene discovery application_rice
Gene discovery application_riceGene discovery application_rice
Gene discovery application_rice
 
GRM 2013: Improve groundnut productivity for marginal environments from Sub-S...
GRM 2013: Improve groundnut productivity for marginal environments from Sub-S...GRM 2013: Improve groundnut productivity for marginal environments from Sub-S...
GRM 2013: Improve groundnut productivity for marginal environments from Sub-S...
 
Science-based approaches for efficient conservation and use of genetic resources
Science-based approaches for efficient conservation and use of genetic resourcesScience-based approaches for efficient conservation and use of genetic resources
Science-based approaches for efficient conservation and use of genetic resources
 
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
 
The chromosome scale assembly of sugar beet line FC309 enables the identifica...
The chromosome scale assembly of sugar beet line FC309 enables the identifica...The chromosome scale assembly of sugar beet line FC309 enables the identifica...
The chromosome scale assembly of sugar beet line FC309 enables the identifica...
 
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
GRM 2013: Molecular Breeding and Selection Strategies to Combine and Validate...
 
Antagonistic Interactions Among Stripe and Stem Rust Resistance QTLs in Wheat
Antagonistic Interactions Among Stripe and Stem Rust Resistance QTLs in WheatAntagonistic Interactions Among Stripe and Stem Rust Resistance QTLs in Wheat
Antagonistic Interactions Among Stripe and Stem Rust Resistance QTLs in Wheat
 
Towards fine mapping of drought tolerance related QTL region in chickpea usin...
Towards fine mapping of drought tolerance related QTL region in chickpea usin...Towards fine mapping of drought tolerance related QTL region in chickpea usin...
Towards fine mapping of drought tolerance related QTL region in chickpea usin...
 

More from 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 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
 
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...CGIAR Generation Challenge Programme
 
GRM 2013: Sorghum product catalogue and project status -- Projects ongoing, c...
GRM 2013: Sorghum product catalogue and project status -- Projects ongoing, c...GRM 2013: Sorghum product catalogue and project status -- Projects ongoing, c...
GRM 2013: Sorghum product catalogue and project status -- Projects ongoing, c...CGIAR Generation Challenge Programme
 
GRM 2013: Rice product catalogue and project status -- Projects ongoing, comp...
GRM 2013: Rice product catalogue and project status -- Projects ongoing, comp...GRM 2013: Rice product catalogue and project status -- Projects ongoing, comp...
GRM 2013: Rice product catalogue and project status -- Projects ongoing, comp...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
 
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 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...
 
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
GRM 2013: Wheat product catalogue and project status -- Projects ongoing, com...
 
GRM 2013: Sorghum product catalogue and project status -- Projects ongoing, c...
GRM 2013: Sorghum product catalogue and project status -- Projects ongoing, c...GRM 2013: Sorghum product catalogue and project status -- Projects ongoing, c...
GRM 2013: Sorghum product catalogue and project status -- Projects ongoing, c...
 
GRM 2013: Rice product catalogue and project status -- Projects ongoing, comp...
GRM 2013: Rice product catalogue and project status -- Projects ongoing, comp...GRM 2013: Rice product catalogue and project status -- Projects ongoing, comp...
GRM 2013: Rice product catalogue and project status -- Projects ongoing, comp...
 

Recently uploaded

Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...FIDO Alliance
 
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1DianaGray10
 
Agentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdfAgentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdfChristopherTHyatt
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaCzechDreamin
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityScyllaDB
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Julian Hyde
 
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101vincent683379
 
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and PlanningIESVE for Early Stage Design and Planning
IESVE for Early Stage Design and PlanningIES VE
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutesconfluent
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FIDO Alliance
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKUXDXConf
 
ECS 2024 Teams Premium - Pretty Secure
ECS 2024   Teams Premium - Pretty SecureECS 2024   Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty SecureFemke de Vroome
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsUXDXConf
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastUXDXConf
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfFIDO Alliance
 
Buy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxBuy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxEasyPrinterHelp
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfFIDO Alliance
 
THE BEST IPTV in GERMANY for 2024: IPTVreel
THE BEST IPTV in  GERMANY for 2024: IPTVreelTHE BEST IPTV in  GERMANY for 2024: IPTVreel
THE BEST IPTV in GERMANY for 2024: IPTVreelreely ones
 

Recently uploaded (20)

Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
 
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
 
Agentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdfAgentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdf
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
 
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and PlanningIESVE for Early Stage Design and Planning
IESVE for Early Stage Design and Planning
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
 
ECS 2024 Teams Premium - Pretty Secure
ECS 2024   Teams Premium - Pretty SecureECS 2024   Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty Secure
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering Teams
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
Buy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxBuy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptx
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
 
THE BEST IPTV in GERMANY for 2024: IPTVreel
THE BEST IPTV in  GERMANY for 2024: IPTVreelTHE BEST IPTV in  GERMANY for 2024: IPTVreel
THE BEST IPTV in GERMANY for 2024: IPTVreel
 

TLM III: : Improve common bean productivity for marginal environments in sub-Saharan Africa - C Mukankusi

  • 1. TL 1 Objective 3: Improve common bean productivity for marginal environments in sub-Saharan Africa Bodo Raatz CIAT Lisboa, September 2013
  • 2. • . Using markers for biotic stress resistance
  • 3. SNP genotpying: Tm shift assay A G from Wang et al. 2005°C resistant susceptible• Based on SNP-specific primers • Genotyping by melting point analysis • No fluorescent primers required
  • 4. C-A BCMV: bc-3 candidate gene: eIF4E NADERPOUR et al. MOLECULAR PLANT PATHOLOGY (2010) primer 1 C primer 2 A primer reverse
  • 5. BCMV: bc-3 Tms marker resistent susceptible no call all
  • 6. Storage insects: bruchid resistance Bruchids (Zabrotes subfasciatus) PV-ATCT001, Yu et al, 2000 Dissociation Curve APA gene R S 80 84
  • 7. Common Bacterial Blight (CBB) MAS with • SU91 on Chr8 (Pedraza et al. 1997) • SAP6 on Chr10 (Miklas et al. 2006) Bacterial blight: Xanthomonas
  • 9. Marker conversions Chr Position G35346 AFR298 AND696 G10474 G40001 G5686 MD23-24 SEA5 VAX1 Chr01 219,278.00 T A A A A A A A A Chr01 219,650.00 T C C C C C C C C Chr01 219,722.00 T C C C C C C C C Chr01 219,749.00 G A A A A A A A A Chr01 219,950.00 C T T T T T T T T Chr01 219,952.00 T A A A A A A A A Chr01 220,668.00 T A A A A A A A A Chr01 221,020.00 G C C C C C C C C Chr01 252,386.00 C G G G G G G G G Chr01 252,420.00 T A A A A A A A A Chr01 253,519.00 A T T T T T T T T Chr01 253,526.00 T G G G G G G G G Chr01 253,542.00 C T T T T T T T T Chr01 258,082.00 C G G G G G G G G Chr01 264,339.00 C T T T T T T T T Chr01 265,119.00 T G G G G G G G G Chr01 265,168.00 T G G G G G G G G Chr01 265,336.00 A G G G G G G G G Chr01 265,418.00 C G G G G G G G G Chr01 265,713.00 C T T T T T T T T Chr01 265,722.00 C T T T T T T T T Chr01 266,882.00 C A A A A A A A A Chr01 267,398.00 A G G G G G G G G Chr01 267,562.00 C A A A A A A A A Chr01 267,688.00 T C C C C C C C C Chr01 267,727.00 T A A A A A A A A Chr01 268,418.00 C G G G G G G G G Chr01 268,648.00 A C C C C C C C C Chr01 271,111.00 A G G G G G G G G Chr01 271,132.00 T C C C C C C C C Chr01 271,437.00 A G G G G G G G G Chr01 271,644.00 T C C C C C C C C Chr01 272,223.00 G C C C C C C C C Chr01 272,579.00 G A A A A A A A A Chr01 272,645.00 G C C C C C C C C Jorge et al SNP sources: • 1500 SNP set BeanCAP • 9 genotypes sequenced
  • 10. Angular Leaf Spot Marker: Sc267437 Chr 8 G10474 Marker: P50 Chr. 4 G5686 • SNP based on SSR markers confirmed and converted • Finemapping on Chr 4 – Resistance gene 43.5 – 43.9 Mbp 42.0 42.5 43.0 43.5 44.0 44.5 45 0 2 4 6 8 Chromosome 4 (Mbp) LODscore Beat Keller, 2013
  • 11. Bean Stem Maggot • QTL mapping underway • 100 additional SNPs genotyped (Daniel Ambachew) • BSM evaluations in Zimbabwe, Malawi and Ethiopia tolerant susceptible Maps for DOR x BAT SER16 x G35346
  • 12. Drought tolerance and root traits -1 Yield Root traits QTL analysis Federico Velasquez Map for SEA x MD
  • 13. MARS • PhD thesis of Fitsum Alemayehu SARI, Ethiopia • Population of ~200 Lines • Phenotyping drought & irrigated at 4 locations – 2x Palmira, 2x Ethiopia • Genotyping: – Kbio/LGC ~150 SNP markers – additional 14.000 fluidigmdata points • Marker Analysis in progress – DNAs sent, extracted from seed
  • 14. (CAL 143xSAB 620) X SAB 626 (SAB 628xCAL 143) X SAB 659 (SAB 628xCAL 143) X SAB 686 G 12229 x AND 277 CAL143 (ABA 58x AFR298)F1xSAB258(COS 16 x AFR298)F1 x SAB258 SAB258 ABA58AFR298COS16 41 lines 54 lines 30 lines 26 lines 42 lines F5 F5F1: CAL 143xSAB 620 F1: SAB 628xCAL 143 F1: ABA 58x AFR298 F1: COS 16 x AFR298F1F1F1 F1 F1 SAB620 SAB626 SAB628 SAB659 SAB686 MARS
  • 15. MAGIC • 8-parental population established • F4:6 Phenotyping started in July • Genotyping: DNA ready to send for GBS
  • 16. SXB 412 INB 827 ALB 213 SEN 56 SCR 2 MIB 778 SCR 9 INB 841 79 F1 5 F1 38 F1 99 F1 323 F1 272 F1 728 F1 500 selected 499 F2 996 F3 families 926 F4.5 families 926 F4:6 families MAGIC population in common bean (mesoamerican gene pool) Genotype individuals Drought phenotyping
  • 17. MAGIC • 648 genotypes in current drought trial
  • 18. Breeding products Relationship between irrigated and rainfed grain yield of 36 common bean genotypes grown under field conditions at CIAT-Colombia (2013) AFR298 CAL143 CAL96 DAB 231 DAB 233 DAB 236 DAB 244 DAB 251 DAB 252 DAB 256 DAB 258 DAB 267 DAB 277 DAB 295 DAB 344 DAB 353 DAB 366 DAB 374DAB 380 DAB 384 DAB 396 DAB 398 DAB 402 DAB 441DAB 489 DAB 494 DAB 514 DAB 520 DAB 525 DAB 528 DAB 534 DAB 541 DAB 545 DAB 549 DAB 555 KATB1 0 200 400 600 800 1000 1200 2000 2500 3000 3500 4000 4500 droughtYDHA irrigated YPDA 2013 YDHA
  • 19. Data management • Adopting defined file formats • Adopting barcoding • Adopting use of barcoding for seed storage organization • Training of partners to adopt defined file formats Sheet 1 Sheet 2 Trial data Controlled vocabulary trait dictionary Metadata • Sowing date • Location • Person in charge
  • 20. Capacity building • Workshop with 30+ breeders in Kawanda • 2 workshops at CIAT (n ~20) • Fitsum Alemayehu (phd student, Ethiopia) visited CIAT for 3 months.
  • 21. Conclusions • MAS for biotic stress moving toward routine • MAGIC and MARS moving forward • Advanced lines show improved yield under drought • Data Management moving towards adoption • Capacity building ongoing Anticipated impact: improved germplasm …
  • 22. View to the future • Unite TL 1 and TL2 activities • Technology changes – GBS: for fingerprinting, population genotyping – genomic selection • Fingerprinting / Forensics – Specific projects need to be defined – Impact studies – software • Organizational changes – Extend work with partners – Data management -software – Links to • Soils work, agronomy • Other downstream activities
  • 23. Thank you for your attention! SARI Ethiopia SARI SELIAN Tanzania DARS Malawi DR&SS Zimbabwe KARI Kenya CIAT Africa