SorghumResearch InitiativeCrop meetingGCP - General Research MeetingHyderabad 25/9/11
Outline• 1- Update on ongoing RI projects• BCNAM: Enhancing sorghum grain yield and quality for the sudano-sahelianzone of...
Enhancing sorghum grain yield and qualityfor the sudano-sahelian zone of west africausing the backcross nested association...
The maize Nested Association Mapping designDense genotypingof 26 parentsCoarsegenotyping of5000 progeniesCombine linkage a...
NAM non-recurrent parental-linesNAM recurrent parental-lineIncrease the genetic diversity of Australian sorghum byintrogre...
Box plots of NAM populations for environment types 1 & 4expressed as deviations from the mean yield of the environmentgrou...
36 parental lines57 populations BC1F4100-150 individuals each10CDP14SDP10SDPGrinkan Lata3KKeniBC-NAM populations development
BC-NAM parentsDonor parents are diverse inheight and botanical types.GrinkanLata3 KeninkeniParental lines respondsdifferen...
BC-NAM: current statusPopulation development• Population development• MABC ms3 conversion ofrecurrent parents(Grinkan, Ken...
BC-NAM: Current statusRecurrent parent Lata-3Lata-3 Grinkan KeninkeniDonors # BC1F1 plants # BC1F2 families # BC1F2 famili...
Improving sorghum productivity insemi-arid environments of Malithrough integrated MARS
MARS: increase the exploration of recombinationpotential in bi-parental populationBreed for :multiple traitspolygenic trai...
MARS: increase the exploration of recombinationpotential in bi-parental populationBreed for :multiple traitspolygenic trai...
MARS: increase the exploration of recombinationpotential in bi-parental populationBreed for :multiple traitspolygenic trai...
Lata3 KeninkeniTiandougouSowingdate11JulySowingdate11JuneX XParents chosen for MARS are elite varieties withcomplementary ...
MARS: current statusYear Season Population 1 Population 22008 Rainy Season S1 S12009 off S2 S22009 off S3 S32009 Rainy Sea...
MARS multilocation phenotyping• 3 locations : Sotuba, Cinzana, Farako• 2 sowing dates in each location• Multiple traits• Y...
MARS implementation4SB040030SB0401015.7gpsb05026.9cir32336.2SB0402940.4SB0403550.3SB0404267.4Xtxp1279.6SB0408281.6gpsb1029...
MARS implementation4SB040030SB0401015.7gpsb05026.9cir32336.2SB0402940.4SB0403550.3SB0404267.4Xtxp1279.6SB0408281.6gpsb1029...
Data management & sharing• Continue the integration of IBP data management tools withactivities of the RI: turn ongoing pr...
Working	  together	  with	  theQueensland	  GovernmentDeveloping drought-adapted sorghumgermplasm for Africa and Australia...
Working	  together	  with	  theQueensland	  GovernmentObjectives (Phase 2)Objective 1: Evaluating in Africa the materialpr...
Working	  together	  with	  theQueensland	  GovernmentEvaluation in Africa of materialproduced in Phase I (Phase 2)Seed fr...
Fingerprinting projectICRISAT(Mali)IER(Mali)BCNAM&MARSParentsEMBRAPA(Brasil)RMPParentsFingerprintingDataset1416Kaspar Conv...
A sorghum crop improvementCommunity of Practice• Sharing, improving exchange, coaching toward the common objectiveof sorgh...
A sorghum crop improvementCommunity of Practice• A virtual space of communication seems a good starting point• IBP Portal•...
Ibrahima SissokoEva WeltzienH Fred W RattundeTom HashBettina HaussmannElodie LacutJean-Francois RamiRonan RivallanMichelVa...
Upcoming SlideShare
Loading in …5
×

GRM 2011: Sorghum Research Initiative progress report

473 views
362 views

Published on

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
473
On SlideShare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
10
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

GRM 2011: Sorghum Research Initiative progress report

  1. 1. SorghumResearch InitiativeCrop meetingGCP - General Research MeetingHyderabad 25/9/11
  2. 2. Outline• 1- Update on ongoing RI projects• BCNAM: Enhancing sorghum grain yield and quality for the sudano-sahelianzone of west africa using the backcross nested association mapping (BC-NAM)approach• MARS: Improving sorghum productivity in semi-arid environments of Malithrough integrated MARS• II - Parallel Crop meeting• Linking activities• Community of Practices
  3. 3. Enhancing sorghum grain yield and qualityfor the sudano-sahelian zone of west africausing the backcross nested associationmapping (BC-NAM) approach
  4. 4. The maize Nested Association Mapping designDense genotypingof 26 parentsCoarsegenotyping of5000 progeniesCombine linkage and association analysis5000 individualsYu et al., 2008. Genetics 178: 539–55
  5. 5. NAM non-recurrent parental-linesNAM recurrent parental-lineIncrease the genetic diversity of Australian sorghum byintrogression of new alleles into adapted backgrounds• geographic or racial diversity• observed phenotypic diversity• phenotypic extremes• elite lines from breeding programs in other countries• fertile wild speciesFrom D. JordanDGP programme at Queensland DEEDI
  6. 6. Box plots of NAM populations for environment types 1 & 4expressed as deviations from the mean yield of the environmentgroup. The red line represents the performance of the RP.Jordan et al., 2011DGP programme at Queensland DEEDI
  7. 7. 36 parental lines57 populations BC1F4100-150 individuals each10CDP14SDP10SDPGrinkan Lata3KKeniBC-NAM populations development
  8. 8. BC-NAM parentsDonor parents are diverse inheight and botanical types.GrinkanLata3 KeninkeniParental lines respondsdifferently to day length.1416SNPs
  9. 9. BC-NAM: current statusPopulation development• Population development• MABC ms3 conversion ofrecurrent parents(Grinkan, Keninkeni)• Generation advancementduring offseason• Phenotyping in 2012 rainy season on BC1F4 families• Genotyping of BC1F3 (Managed at the GCP level)• BC1F6 population released at the end of the project3ms3
  10. 10. BC-NAM: Current statusRecurrent parent Lata-3Lata-3 Grinkan KeninkeniDonors # BC1F1 plants # BC1F2 families # BC1F2 families # BC1F2 familiesGrinkan Common 1050 66 -- 150Lata3 Common -- -- 79 30Keninkeni Common 1050 59 11 --E36 Common 1050 51 167 177Framida Common 960 68 180 --IS15401 Common 1500 55 168 160IS23540 Common 1350 49 154 154IS23645 Common 720 37 191 --SC566 Common 1050 50 153 --SK5912 Common 1050 86 94 --IS24887 Common 1050 -- 144 171Tieble (CSM 335) ICR. Spec. 1050 62 -- --Ngolofing (CSM660) ICR. Spec. 1200 68 -- --DouaG ICR. Spec. 840 50 -- --Gnossiconi ICR. Spec. 1350 66 -- --L2P9 ICR. Spec. 810 79 -- --Lina ICR. Spec. 1050 85 -- --Ribdahu ICR. Spec. 1350 81 -- --Sambalma ICR. Spec. 810 82 -- --Soumba (CIRAD 406) ICR. Spec. 1050 84 -- --White Kaura ICR. Spec. 1200 76 -- --Tiandougou IER Spec. -- -- 19 238V33/08 IER Spec. -- -- 100 --Sanga IER Spec. -- -- 3 154Kalaban IER Spec. -- -- 200 204Malisor IER Spec. -- -- 111 149Y359 IER Spec. -- -- 154 154BimbG IER Spec. -- -- 161 202B35 IER Spec. -- -- 132 119Konotene IER Spec. -- -- 210 --CSM417 IER Spec. -- -- 189 100CSM63 IER Spec. -- -- 103 --CSM388 IER Spec. -- -- 199 --Gadiaba IER Spec. -- -- 155 --White Kaura IER Spec. -- -- 189 --
  11. 11. Improving sorghum productivity insemi-arid environments of Malithrough integrated MARS
  12. 12. MARS: increase the exploration of recombinationpotential in bi-parental populationBreed for :multiple traitspolygenic traitsdiverse environments......Towards an ideal genotypecumulating favourable alleles fromboth parents for all genesinvolved in different target traitsXParent 1 Parent 2
  13. 13. MARS: increase the exploration of recombinationpotential in bi-parental populationBreed for :multiple traitspolygenic traitsdiverse environments......Towards an ideal genotypecumulating favourable alleles fromboth parents for all genesinvolved in different target traitsXParent 1 Parent 2XParent 1 Parent 2QTL detectionMultiple traitsMultipleenvironmentsGV
  14. 14. MARS: increase the exploration of recombinationpotential in bi-parental populationBreed for :multiple traitspolygenic traitsdiverse environments......Towards an ideal genotypecumulating favourable alleles fromboth parents for all genesinvolved in different target traitsXParent 1 Parent 2XParent 1 Parent 2GV GV GV GV GV GV GV GV GVGV GV GV GVQTL detectionMultiple traitsMultipleenvironmentsGV
  15. 15. Lata3 KeninkeniTiandougouSowingdate11JulySowingdate11JuneX XParents chosen for MARS are elite varieties withcomplementary traitsGuinea typeMedium sizePhotoperiod sensitiveTilleringCaudatum typeShort sizePhotoperiod sensitiveHigh productivityGC typeMedium sizePhotoperiod sensitiveGood grain qualityPhotos:M.Vaksmann400 F3 400 F3
  16. 16. MARS: current statusYear Season Population 1 Population 22008 Rainy Season S1 S12009 off S2 S22009 off S3 S32009 Rainy Season S4 S42010 off F3 Genotyping2010 off S4 seed increase2010 Rainy Season Multilocal Phenotyping F4 seed increase2011 off QTL analysis2011 Rainy Season C1 cycle (F4 families) Multilocal Phenotyping2011 Rainy Season C1 Genotyping2011 Rainy Season C1 crosses2012 off C1 increase F3 Genotyping2012 off QTL Analysis2012 Rainy Season C1 evaluation2012 Rainy Season C2 cycle C1 cycle (F4 families)2012 Rainy Season C1 Genotyping C1 Genotyping2012 Rainy Season C1 crosses C1 crosses... ... ... ...
  17. 17. MARS multilocation phenotyping• 3 locations : Sotuba, Cinzana, Farako• 2 sowing dates in each location• Multiple traits• Yield and components• Flowering date• Plant morphology• Panicle morphology and architecture• Grain quality (NIRS + miniTô)
  18. 18. MARS implementation4SB040030SB0401015.7gpsb05026.9cir32336.2SB0402940.4SB0403550.3SB0404267.4Xtxp1279.6SB0408281.6gpsb10290.5cir320103.6SB04103110.5SB04109114.4SB04111119SB04117131Xtxp24133.8Xtxp327137.8SB04137148.2cir183159.7SB04142167.7gpsb028184.1Xtxp21190.9xANTHOSB111BRABORTSB111xDHYLDCZ211DTFLCZ111xDTFLCZ211xDTFLSB211xDTFLFK111xDTFLFK211xDTFLSB111xGDENSCZ211GDENSSB211xGDENSFK111xGDENSFK211GDENSSB111GYLDCZ111xGYLDCZ211GYLDSB211GYLDFK111xGYLDFK211GYLDSB111GYLDBSPCZ111GYLDBSTCZ111HILNBCZ111HILNBCZ211HILNBSB211HILNBFK111HILNBFK211xHILNBSB111INTNNCZ111INTNNCZ211xINTNNSB211INTNNSB111KpCZ211KpFK211KpSB211NBBRNODSB111xNBGPANCZ211xNBGPANSB211NBGPANFK111xNBGPANFK211NBGPANSB111xxNBGRLVCZ211xNBGRLVSB211NBGRLVSB111xNBNODPANSB111xNIRAMYCZ211xxNIRHDCZ211NIRLIPCZ211xNIRPROCZ211NIRDHYLDCZ211xNIRTOCZ211xxNIRVITROCZ211PANGWGSB111xPANLCZ111xPANLCZ211xPANLSB211xPANLFK111xPANLFK211xPANLSB111xPANLbSB111PANNCZ111xPANNCZ211PANNSB211PANNFK111PANNFK211PANNSB111xPEDLCZ111xPEDLCZ211xPEDLSB211xxPEDLFK111xPEDLFK211xPEDLSB111PERTHCZ211PERTHSB211PERTHFK111PERTHFK211PERTHSB111PRBRLGSB111xPRBRNBSB111SBRNBSB111SBRPPRSB111xSTEMLCZ111xSTEMLCZ211STEMLSB211xSTEMLFK111xSTEMLFK211xSTEMLSB111xTGWCZ211TGWSB211TGWFK111TGWFK211TGWSB111xToCOLCZ211xToCONSCZ211KK TIANGrainYieldTocolor
  19. 19. MARS implementation4SB040030SB0401015.7gpsb05026.9cir32336.2SB0402940.4SB0403550.3SB0404267.4Xtxp1279.6SB0408281.6gpsb10290.5cir320103.6SB04103110.5SB04109114.4SB04111119SB04117131Xtxp24133.8Xtxp327137.8SB04137148.2cir183159.7SB04142167.7gpsb028184.1Xtxp21190.9xANTHOSB111BRABORTSB111xDHYLDCZ211DTFLCZ111xDTFLCZ211xDTFLSB211xDTFLFK111xDTFLFK211xDTFLSB111xGDENSCZ211GDENSSB211xGDENSFK111xGDENSFK211GDENSSB111GYLDCZ111xGYLDCZ211GYLDSB211GYLDFK111xGYLDFK211GYLDSB111GYLDBSPCZ111GYLDBSTCZ111HILNBCZ111HILNBCZ211HILNBSB211HILNBFK111HILNBFK211xHILNBSB111INTNNCZ111INTNNCZ211xINTNNSB211INTNNSB111KpCZ211KpFK211KpSB211NBBRNODSB111xNBGPANCZ211xNBGPANSB211NBGPANFK111xNBGPANFK211NBGPANSB111xxNBGRLVCZ211xNBGRLVSB211NBGRLVSB111xNBNODPANSB111xNIRAMYCZ211xxNIRHDCZ211NIRLIPCZ211xNIRPROCZ211NIRDHYLDCZ211xNIRTOCZ211xxNIRVITROCZ211PANGWGSB111xPANLCZ111xPANLCZ211xPANLSB211xPANLFK111xPANLFK211xPANLSB111xPANLbSB111PANNCZ111xPANNCZ211PANNSB211PANNFK111PANNFK211PANNSB111xPEDLCZ111xPEDLCZ211xPEDLSB211xxPEDLFK111xPEDLFK211xPEDLSB111PERTHCZ211PERTHSB211PERTHFK111PERTHFK211PERTHSB111PRBRLGSB111xPRBRNBSB111SBRNBSB111SBRPPRSB111xSTEMLCZ111xSTEMLCZ211STEMLSB211xSTEMLFK111xSTEMLFK211xSTEMLSB111xTGWCZ211TGWSB211TGWFK111TGWFK211TGWSB111xToCOLCZ211xToCONSCZ211KK TIANGrainYieldTocolorEconomicvalue of traittEffect of thefav. allele ofQTL q of traittProbability ofoccurence ofgenotype i atQTL qSelectionvalue ofgenotype i atQTL qGV = ∑βt ∑αqt ∑piqtδiqtt q i
  20. 20. Data management & sharing• Continue the integration of IBP data management tools withactivities of the RI: turn ongoing projects into well establishedprotocols that can be routinely applied.• Data capture for breeding management• Data capture for field evaluation and trait ontology adoption• Decision support tools availability• ICIS implementationIERIcrisatSamankoBCNAMIcrisatCentral levelProject levelLocal level
  21. 21. Working  together  with  theQueensland  GovernmentDeveloping drought-adapted sorghumgermplasm for Africa and AustraliaUniversity ofQueensland AndrewBorrell David JordanQueenslandGovernment BarbGeorge-JaeggliIER, MaliSidi Bekaye CoulibalyNiaba TemeMamoutou KouressyCIRAD, MaliMichel Vaksmann
  22. 22. Working  together  with  theQueensland  GovernmentObjectives (Phase 2)Objective 1: Evaluating in Africa the materialproduced in Phase 1Objective 2• Training in Australia for visiting African scientists onsorghum crop improvement• Training in Africa by visiting Australian scientists onsorghum crop improvementObjective 3: Evaluation of African germplasm forknown stay-green regions
  23. 23. Working  together  with  theQueensland  GovernmentEvaluation in Africa of materialproduced in Phase I (Phase 2)Seed from selected BC1F2 will be used by Maliancollaborators for final stage selection and evaluation.QTL-enriched lines will be evaluated in about 12 trials peryear (6 countries x 2 sites per country) over 2 years.Target countries will include Mali, Niger, Sudan, Ethiopia,Kenya and Uganda.Five plants from each of 15 backcross-derivedintrogression lines have been selected (13 lines fromF2_R04021-2/PI609084 and 2 lines from F2_R04003-2/PI585749).Hence about 75 genotypes x 2 reps x 2 water regimes(WW & WD) will be evaluated per site, depending onirrigation capacity for WW treatment.Evaluation will focus on yield, height, maturity, stay-greenand grain quality.Mali, Niger, Sudan,Ethiopia, Kenya & Uganda
  24. 24. Fingerprinting projectICRISAT(Mali)IER(Mali)BCNAM&MARSParentsEMBRAPA(Brasil)RMPParentsFingerprintingDataset1416Kaspar Conv.SNPsDeedi(Australia)SG QTLenrichedmaterialINRAN(Niger)MOI U.(Kenya)ARC(Sudan)EthiopiaMakere U.(Uganda)300Breeding material characterizationMAB project design
  25. 25. A sorghum crop improvementCommunity of Practice• Sharing, improving exchange, coaching toward the common objectiveof sorghum improvement• Objectives:• Being updated (Research, Opportunities, General information)• Sharing technical and scientific information on methodologiesfor modern breeding (Questions/Answers, Guidelinesrepository, etc.)• Sharing genetic material and data
  26. 26. A sorghum crop improvementCommunity of Practice• A virtual space of communication seems a good starting point• IBP Portal• Open• Need for coordination and mentorship• Complementary to existing sorghum CoPs (e.g McKnight F.)that can be invited to participate and contribute to this CoP
  27. 27. Ibrahima SissokoEva WeltzienH Fred W RattundeTom HashBettina HaussmannElodie LacutJean-Francois RamiRonan RivallanMichelVaksmannDavid R JordanAndrew BorrellNiaba TéméMamoutou KouressySidy Bekaye CoulibalyFlakoro CoulibalyYacouba DembéléMohamed DoumbiaMahamady KanéKorotimi TheraDramane SakoDiarah GuindoFrederic CossicDenis LespinasseMichel RagotPhoto S. BraconnierJurandir MagalhaesMartha HamblinTheresa FultonLeon KochianINRANSoumana souleyMoi UniversitySam GuduMakere UniversityRichard EdemaPatrick Okiri

×