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SorghumResearch Initiative
Crop meeting
GCP - General Research MeetingHyderabad 25/9/11
Outline• 1- Update on ongoing RI projects• BCNAM: Enhancing sorghum grain yield and quality for the sudano-sahelian
zone of west africa using the backcross nested association mapping (BC-NAM) approach
•MARS: Improving sorghum productivity in semi-arid environments of Mali through integrated MARS
• II - Parallel Crop meeting • Linking activities• Community of Practices
Enhancing sorghum grain yield and quality for the sudano-sahelian zone of west africa
using the backcross nested association mapping (BC-NAM) approach
The maize Nested Association Mapping design
Dense genotyping of 26 parents
Coarse genotyping of 5000 progenies
Combine linkage and association analysis
5000 individuals
Yu et al., 2008. Genetics 178: 539–55
NAM non-recurrent parental-linesNAM recurrent parental-line
Increase the genetic diversity of Australian sorghum by introgression 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 species
From D. Jordan
DGP programme at Queensland DEEDI
Box plots of NAM populations for environment types 1 & 4 expressed as deviations from the mean yield of the environment group. The red line represents the performance of the RP.
Jordan et al., 2011
DGP programme at Queensland DEEDI
36 parental lines57 populations BC1F4100-150 individuals each 10
CDP
14SDP
10SDP
Grinkan Lata3KKeni
BC-NAM populations development
BC-NAM parents
Donor parents are diverse in height and botanical types.
Grinkan
Lata3 Keninkeni
Parental lines responds differently to day length.
1416SNPs
BC-NAM: current statusPopulation development
• Population development• MABC ms3 conversion of
recurrent parents (Grinkan, Keninkeni)
• Generation advancement during 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 project
3
ms3
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 --
Improving sorghum productivity in semi-arid environments of Mali
through integrated MARS
MARS: increase the exploration of recombination potential in bi-parental population
Breed for :multiple traitspolygenic traitsdiverse environments...
...Towards an ideal genotype cumulating favourable alleles from both parents for all genes involved in different target traits
X
Parent 1 Parent 2
MARS: increase the exploration of recombination potential in bi-parental population
Breed for :multiple traitspolygenic traitsdiverse environments...
...Towards an ideal genotype cumulating favourable alleles from both parents for all genes involved in different target traits
X
Parent 1 Parent 2
X
Parent 1 Parent 2
QTL detectionMultiple traits
Multiple environments
GV
MARS: increase the exploration of recombination potential in bi-parental population
Breed for :multiple traitspolygenic traitsdiverse environments...
...Towards an ideal genotype cumulating favourable alleles from both parents for all genes involved in different target traits
X
Parent 1 Parent 2
X
Parent 1 Parent 2
GV GV GV GV GV GV GV GV GVGV GV GV GV
QTL detectionMultiple traits
Multiple environments
GV
Lata3 KeninkeniTiandougou
Sow
ing d
ate 1
1 Ju
lySo
win
g dat
e 11
June
X X
Parents chosen for MARS are elite varieties with complementary traits
Guinea typeMedium size
Photoperiod sensitiveTillering
Caudatum typeShort size
Photoperiod sensitiveHigh productivity
GC typeMedium size
Photoperiod sensitiveGood grain quality
Phot
os: M
. Vak
sman
n
400 F3 400 F3
MARS: current statusYear Season Population 1 Population 2
2008 Rainy Season S1 S1
2009 off S2 S2
2009 off S3 S3
2009 Rainy Season S4 S4
2010 off F3 Genotyping
2010 off S4 seed increase
2010 Rainy Season Multilocal Phenotyping F4 seed increase
2011 off QTL analysis
2011 Rainy Season C1 cycle (F4 families) Multilocal Phenotyping
2011 Rainy Season C1 Genotyping
2011 Rainy Season C1 crosses
2012 off C1 increase F3 Genotyping
2012 off QTL Analysis
2012 Rainy Season C1 evaluation
2012 Rainy Season C2 cycle C1 cycle (F4 families)
2012 Rainy Season C1 Genotyping C1 Genotyping
2012 Rainy Season C1 crosses C1 crosses
... ... ... ...
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 + mini Tô)
MARS implementation 4
SB040030
SB0401015.7
gpsb05026.9
cir32336.2SB0402940.4
SB0403550.3
SB0404267.4
Xtxp1279.6SB0408281.6gpsb10290.5
cir320103.6
SB04103110.5SB04109114.4SB04111119
SB04117131Xtxp24133.8Xtxp327137.8
SB04137148.2
cir183159.7
SB04142167.7
gpsb028184.1
Xtxp21190.9
x
ANTH
OSB
111
BRAB
ORT
SB111
x
DHYLDC
Z211
DTFLCZ
111
x
DTFLCZ
211
x
DTFLSB
211
x
DTFLFK
111
x
DTFLFK
211
x
DTFLSB
111
x
GDE
NSCZ
211
GDE
NSSB
211
x
GDE
NSFK
111
x
GDE
NSFK
211
GDE
NSSB
111
GYLDC
Z111
x
GYLDC
Z211
GYLDS
B211
GYLDF
K111
x
GYLDF
K211
GYLDS
B111
GYLDB
SPCZ
111
GYLDB
STCZ
111
HILN
BCZ111
HILN
BCZ211
HILN
BSB211
HILN
BFK111
HILN
BFK211
x
HILN
BSB111
INTN
NCZ111
INTN
NCZ211
x
INTN
NSB211
INTN
NSB111
KpCZ
211
KpFK
211
KpSB
211
NBBR
NODS
B111
x
NBGPANC
Z211
x
NBGPANS
B211
NBGPANF
K111
x
NBGPANF
K211
NBGPANS
B111
x
x
NBGRLVC
Z211
x
NBGRLVS
B211
NBGRLVS
B111
x
NBNO
DPAN
SB111
x
NIRA
MYC
Z211
x
x
NIRH
DCZ211
NIRL
IPCZ
211
x
NIRP
ROCZ
211
NIRD
HYLD
CZ211
x
NIRTOCZ
211
x
x
NIRV
ITRO
CZ211
PANG
WGSB
111
x
PANL
CZ111
x
PANL
CZ211
x
PANL
SB211
x
PANL
FK111
x
PANL
FK211
x
PANL
SB111
x
PANL
bSB111
PANN
CZ111
x
PANN
CZ211
PANN
SB211
PANN
FK111
PANN
FK211
PANN
SB111
x
PEDL
CZ111
x
PEDL
CZ211
x
PEDL
SB211
x
x
PEDL
FK111
x
PEDL
FK211
x
PEDL
SB111
PERT
HCZ211
PERT
HSB211
PERT
HFK111
PERT
HFK211
PERT
HSB111
PRBR
LGSB
111
x
PRBR
NBSB
111
SBRN
BSB111
SBRP
PRSB
111
x
STEM
LCZ111
x
STEM
LCZ211
STEM
LSB211
x
STEM
LFK111
x
STEM
LFK211
x
STEM
LSB111
x
TGWCZ
211
TGWSB
211
TGWFK
111
TGWFK
211
TGWSB
111
x
ToCO
LCZ211
x
ToCO
NSCZ
211
KK TIAN
GrainYield
To color
MARS implementation 4
SB040030
SB0401015.7
gpsb05026.9
cir32336.2SB0402940.4
SB0403550.3
SB0404267.4
Xtxp1279.6SB0408281.6gpsb10290.5
cir320103.6
SB04103110.5SB04109114.4SB04111119
SB04117131Xtxp24133.8Xtxp327137.8
SB04137148.2
cir183159.7
SB04142167.7
gpsb028184.1
Xtxp21190.9
x
ANTH
OSB
111
BRAB
ORT
SB111
x
DHYLDC
Z211
DTFLCZ
111
x
DTFLCZ
211
x
DTFLSB
211
x
DTFLFK
111
x
DTFLFK
211
x
DTFLSB
111
x
GDE
NSCZ
211
GDE
NSSB
211
x
GDE
NSFK
111
x
GDE
NSFK
211
GDE
NSSB
111
GYLDC
Z111
x
GYLDC
Z211
GYLDS
B211
GYLDF
K111
x
GYLDF
K211
GYLDS
B111
GYLDB
SPCZ
111
GYLDB
STCZ
111
HILN
BCZ111
HILN
BCZ211
HILN
BSB211
HILN
BFK111
HILN
BFK211
x
HILN
BSB111
INTN
NCZ111
INTN
NCZ211
x
INTN
NSB211
INTN
NSB111
KpCZ
211
KpFK
211
KpSB
211
NBBR
NODS
B111
x
NBGPANC
Z211
x
NBGPANS
B211
NBGPANF
K111
x
NBGPANF
K211
NBGPANS
B111
x
x
NBGRLVC
Z211
x
NBGRLVS
B211
NBGRLVS
B111
x
NBNO
DPAN
SB111
x
NIRA
MYC
Z211
x
x
NIRH
DCZ211
NIRL
IPCZ
211
x
NIRP
ROCZ
211
NIRD
HYLD
CZ211
x
NIRTOCZ
211
x
x
NIRV
ITRO
CZ211
PANG
WGSB
111
x
PANL
CZ111
x
PANL
CZ211
x
PANL
SB211
x
PANL
FK111
x
PANL
FK211
x
PANL
SB111
x
PANL
bSB111
PANN
CZ111
x
PANN
CZ211
PANN
SB211
PANN
FK111
PANN
FK211
PANN
SB111
x
PEDL
CZ111
x
PEDL
CZ211
x
PEDL
SB211
x
x
PEDL
FK111
x
PEDL
FK211
x
PEDL
SB111
PERT
HCZ211
PERT
HSB211
PERT
HFK111
PERT
HFK211
PERT
HSB111
PRBR
LGSB
111
x
PRBR
NBSB
111
SBRN
BSB111
SBRP
PRSB
111
x
STEM
LCZ111
x
STEM
LCZ211
STEM
LSB211
x
STEM
LFK111
x
STEM
LFK211
x
STEM
LSB111
x
TGWCZ
211
TGWSB
211
TGWFK
111
TGWFK
211
TGWSB
111
x
ToCO
LCZ211
x
ToCO
NSCZ
211
KK TIAN
GrainYield
To color
Economic value of trait
t
Effect of the fav. allele of
QTL q of trait t
Probability of occurence of genotype i at
QTL q
Selection value of
genotype i at QTL q
GV = ∑βt ∑αqt ∑piqtδiqtt q i
Data management & sharing• Continue the integration of IBP data management tools with
activities of the RI: turn ongoing projects into well established protocols that can be routinely applied.• Data capture for breeding management • Data capture for field evaluation and trait ontology adoption• Decision support tools availability
• ICIS implementation
IERIcrisat
Samanko
BCNAM
IcrisatCentral level
Project level
Local level
Working together with theQueensland Government
Developing drought-adapted sorghum germplasm for Africa and Australia
University of Queensland Andrew Borrell David Jordan
Queensland Government Barb
George-Jaeggli
IER, Mali Sidi Bekaye Coulibaly
Niaba Teme Mamoutou Kouressy
CIRAD, Mali Michel Vaksmann
Working together with theQueensland Government
Objectives (Phase 2)
Objective 1: Evaluating in Africa the material produced in Phase 1
Objective 2• Training in Australia for visiting African scientists on
sorghum crop improvement• Training in Africa by visiting Australian scientists on
sorghum crop improvement
Objective 3: Evaluation of African germplasm for known stay-green regions
Working together with theQueensland Government
Evaluation in Africa of material produced in Phase I (Phase 2)
Seed from selected BC1F2 will be used by Malian collaborators for final stage selection and evaluation.
QTL-enriched lines will be evaluated in about 12 trials per year (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-derived introgression lines have been selected (13 lines from F2_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 on irrigation capacity for WW treatment.
Evaluation will focus on yield, height, maturity, stay-green and grain quality.
Mali, Niger, Sudan, Ethiopia, Kenya & Uganda
Fingerprinting projectICRISAT
(Mali)IER(Mali)
BCNAM &
MARSParents
EMBRAPA(Brasil)
RMPParents
FingerprintingDataset
1416Kaspar Conv.
SNPs
Deedi(Australia)
SG QTL enriched material INRAN
(Niger)
MOI U.(Kenya)
ARC(Sudan)
Ethiopia
Makere U.(Uganda)
300
Breeding material characterizationMAB project design
A sorghum crop improvementCommunity of Practice
• Sharing, improving exchange, coaching toward the common objective of sorghum improvement
• Objectives:
• Being updated (Research, Opportunities, General information)
• Sharing technical and scientific information on methodologies for modern breeding (Questions/Answers, Guidelines repository, etc.)
• Sharing genetic material and data
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
Ibrahima SissokoEva Weltzien
H Fred W RattundeTom Hash
Bettina Haussmann
Elodie LacutJean-Francois Rami
Ronan Rivallan Michel Vaksmann
David R JordanAndrew Borrell
Niaba TéméMamoutou KouressySidy Bekaye Coulibaly
Flakoro CoulibalyYacouba Dembélé
Mohamed DoumbiaMahamady KanéKorotimi TheraDramane SakoDiarah Guindo
Frederic CossicDenis Lespinasse
Michel Ragot
Photo S. Braconnier
Jurandir Magalhaes
Martha HamblinTheresa FultonLeon Kochian
INRANSoumana souley
Moi UniversitySam Gudu
Makere UniversityRichard EdemaPatrick Okiri