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Phenotyping for Drought Traits in Wheat
Francis Ogbonnaya/Fernanda Dreceer
GCP AGM 21-25 Sept 2011
Outline of Presentation
GCP AGM 21-25 Sept 2011
Background
Objectives
Activities
Team
Some results
Background
GCP AGM 21-25 Sept 2011
There have been various project attempts aimed at improving
adaptation to drought.
However, at the field level, advances are limited by:
i. The lack of methods for reliable high-throughput
phenotyping that allow season-long monitoring of
complex traits (e.g. crop water status or use)
(Different technologies are around and used ad hoc, with
no systematic calibration or link between them or with
other soil, weather and ancillary crop info)
ii. knowledge on which traits and trait combinations are
most relevant to different patterns of drought;
(fragmentary, poor quantification across different mega-
environments)
In addition:
It would be useful to know which traits underpin
performance of already successful germplasm under
drought, such as elite ICARDA germplasm.
Objectives
GCP AGM 21-25 Sept 2011
1. Develop and validate a field-based, low-cost, high
throughput phenotyping system with the purpose of
estimating patterns of crop water use on a seasonal basis
2. Make progress towards assessing the relative impact of
putative key traits on drought adaptation by comparing
related lines contrasting in trait value in different drought
mega-environments.
3. Develop a better understanding of the potential value of
ICARDA elite drought adapted lines and the traits
underpinning them in contrasting drought environments
(all project lines will be genotyped using SSR markers
from the GCP genetic diversity kit).
4. Build capability in non-invasive phenotyping methods
related to drought tolerant traits and the estimated value
of different traits, particularly within the Central and
West Asia and North Africa.
Activities
GCP AGM 21-25 Sept 2011
Progress
towards
knowledge on
trait impact on
yield under
different types
of drought
Activity 1
Activity 3Activity 2
Activity 4
Site characterisation
Phenotypic screen
development and
validation
Season long
phenotypic signature
Trait comparison-
phenotyping
Capability building CWANA region
Characterisation
ICARDA lines
Traits
underpinning
drought
adaptation in
ICARDA lines
Trained human
resources in
selection tools
and traits in
CWANA region
Selection tools:
high
throughput
phenotyping
protocols
Products
Partners are based in contrasting
drought mega-environments
GCP AGM 21-25 Sept 2011
Obregon,
Mexico
Kulumsa and Dhera,
Ethiopia
Gatton and
Temora,
Australia
Sidi el Aydi,
Morocco
Tel Hadya and
Hassakieh,
Syria
Summer dominant rainfall
Winter dominant rainfall
Uniform rainfall
Activities
CAIGE meeting
Adelaide March 11, 2011
GCP AGM 21-25 Sept 2011
• Plant Materials- 200 wheat lines, including 47 to 72 contrasts for
known traits – such as early vigour, transpiration efficiency, stem
soluble carbohydrates, stay green, etc.
•Environmental Characterisation- soil and weather characterisation
per site
•Phenotyping protocols - Common protocols were agreed on for
three areas of research activities: screen development, trait
comparison and characterisation
•Project Workshop - training meeting held in Aleppo May 2010
•Data Management – Translational data base where data are being
collated
Activities
20-25 field trials between 2010 to 2011
Characterized with molecular markers
At least 3 -4 tentative papers
Germplasm in national variety trials
Future MARS tool - ICARDA
Traits
YLD
Yield in Kg by hectare
BIO Biomass
HI Harvest index
TR Threshing index
TKW Thousand Kernel weight
PH Plant height
DH Date to heading
DM Date to maturity
DB Days to booting
DA Days to Anthesis
DT
Days to tillering
SEARF11
PM21
Number of plants, 1 week after emergence (m-
2) Merc11
GFP Grain filling period (or duration GFD)
GCZ22 Ground cover at Zadoc scale 22
GCT Ground cover at Tillering
GCSE Ground cover at Stem elongation
GCET Ground cover at early tillering
GCZ12 Ground cover at Zadoc scale 12
GCET Ground Cover at early tillering
GCLT Ground Cover at late tillering
VIGE Vigor early
VIGET Vigor at early tillering
VIGLT Vigor at late tillering
VIGSE Vigor at stem elongation
VIGZ12
Vigor at Zadoc scale12
SL Spike length
PL Peduncle length
SPM2 Number of spike per meter square
KM2 Number of kernel by meter square
KWM2 Kernel weight per meter square
KSPK
Number of kernel per spike
PW1D 1 Dcm weight from Peduncle
SKW Sample kernel weight
SB Sample biomass
SSN Sample Spike number
SKN Sample kernel number
NDVI 1 NDVI 4days after heading
NDVI 2 NDVI 15days after heading
NDVI 3 NDVI25days after heading
NDVI 4 NDVI 34days after heading
SPAD1 SPAD 8 daya after heading
SPAD2 SPAD 15 daya after heading
SPAD3 SPAD 23 daya after heading
SW stem Wax
LW Leaf Wax
LR Leaf rolling
LD32DAH Leaves death 32 Days after heading
LD40DAH Leaves death 40 Days after heading
CTH Canopy Temperature 14-4 at Heading
ATH Air Temperature 14-4 at heading
DTH DIF (AIR T -Canopy T) 14-4 at heading
CTBGF Canopy temperature at begining of grain filling 21-4
ATBGF Air Temperature 21-4 at begining of grain filling
DTBGF DIF (AIR T -Canopy T) 21-4 at begining of grain filling
CTEGF Canopy temperature at Late of grain filling 4-5
ATEGF Air Temperature 4-5 at Late of grain filling
DTEGF DIF (AIR T -Canopy T) 4-5 at Late of grain filling
FLA Flag leaf Area
FLL Flag leaf length
FLW Flag leaf width
DLW Dry weight Flag leaf
SLW Specific leaf weight
CTMGF Canopy temperature at the MID grain filling TH10
CTEGF Canopy temperature at the end of grain filling TH10
CTTL Canopy temperature at Tillering
CTBT Canopy temperature at booting
SPAD SPAD
CTBGF Canopy temperature at begining of grain filling
CTMGF Canopy temperature at mid- grain filling
CTEGF Canopy temperature at the end of grain filling
TP Tipping percentage
TD Tipping damage
Impact-Is GCP germplasm useful for NARs?
GCP AGM 21-25 Sept 2011
Environment Mean 1 2 3 4
BR11 2760 AUS30355 CHAM-6/SHUHA-14/73 DOBUC-1/FOW-2/125 KHATWA-4
ETHDH09 335 SsrT16 KHATWA-4 DOBUC-1/FOW-2/125 CHAM-6/SHUHA-14/73
ETHDH10 2249 SsrT16 KHATWA-4 DOBUC-1/FOW-2/125 CHAM-6/SHUHA-14/73
ETHML09 749 SsrT16 KHATWA-4 DOBUC-1/FOW-2/125 CHAM-6/SHUHA-14/73
ETHML10 2311 AUS30355 KHATWA-4 SsrT16 DOBUC-1/FOW-2/125
MERC11 3215 VOROBEY CHAM-6/SHUHA-14/19 DOUMA-4 NEJMAH-16
SEAIRR10 1878 AUS30355 SHIHAB-12 AUS30354 KAUZ'S'/PREW
SEAIRR11 4225 SHIHAB-12 KOUKAB-2 SOKOLL MOOWAFAQ-3
SEARF10 1788 AUS30355 VOROBEY ATTILA-7 CHAM-6/SHUHA-14/19
SEARF11 4473 SsrT16 CHAM-6/SHUHA-14/19 NEJMAH-16 ATTILA-7
TH10 2995 AUS30355 CHAM-6/SHUHA-14/73 DOBUC-1/FOW-2/125 KHATWA-4
TH11 3259 AUS30355 CHAM-6/SHUHA-14/73 KHATWA-4 DOBUC-1/FOW-2/125
Meeting Aleppo May 2010: meeting and
training, protocol agreement
GCP AGM 21-25 Sept 2011
ACKNOWLEDGMENTS
Funding Agencies Collaborators
Breeders:
Osman Abdalla
Greg Rebetzke
Richard Richards
David Bonnett
Matthew Reynolds
Richard Trethowan,
Thanks
ICARDA

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GRM 2011: Phenotyping wheat for drought tolerance

  • 1. Phenotyping for Drought Traits in Wheat Francis Ogbonnaya/Fernanda Dreceer GCP AGM 21-25 Sept 2011
  • 2. Outline of Presentation GCP AGM 21-25 Sept 2011 Background Objectives Activities Team Some results
  • 3. Background GCP AGM 21-25 Sept 2011 There have been various project attempts aimed at improving adaptation to drought. However, at the field level, advances are limited by: i. The lack of methods for reliable high-throughput phenotyping that allow season-long monitoring of complex traits (e.g. crop water status or use) (Different technologies are around and used ad hoc, with no systematic calibration or link between them or with other soil, weather and ancillary crop info) ii. knowledge on which traits and trait combinations are most relevant to different patterns of drought; (fragmentary, poor quantification across different mega- environments) In addition: It would be useful to know which traits underpin performance of already successful germplasm under drought, such as elite ICARDA germplasm.
  • 4. Objectives GCP AGM 21-25 Sept 2011 1. Develop and validate a field-based, low-cost, high throughput phenotyping system with the purpose of estimating patterns of crop water use on a seasonal basis 2. Make progress towards assessing the relative impact of putative key traits on drought adaptation by comparing related lines contrasting in trait value in different drought mega-environments. 3. Develop a better understanding of the potential value of ICARDA elite drought adapted lines and the traits underpinning them in contrasting drought environments (all project lines will be genotyped using SSR markers from the GCP genetic diversity kit). 4. Build capability in non-invasive phenotyping methods related to drought tolerant traits and the estimated value of different traits, particularly within the Central and West Asia and North Africa.
  • 5. Activities GCP AGM 21-25 Sept 2011 Progress towards knowledge on trait impact on yield under different types of drought Activity 1 Activity 3Activity 2 Activity 4 Site characterisation Phenotypic screen development and validation Season long phenotypic signature Trait comparison- phenotyping Capability building CWANA region Characterisation ICARDA lines Traits underpinning drought adaptation in ICARDA lines Trained human resources in selection tools and traits in CWANA region Selection tools: high throughput phenotyping protocols Products
  • 6. Partners are based in contrasting drought mega-environments GCP AGM 21-25 Sept 2011 Obregon, Mexico Kulumsa and Dhera, Ethiopia Gatton and Temora, Australia Sidi el Aydi, Morocco Tel Hadya and Hassakieh, Syria Summer dominant rainfall Winter dominant rainfall Uniform rainfall
  • 7. Activities CAIGE meeting Adelaide March 11, 2011 GCP AGM 21-25 Sept 2011 • Plant Materials- 200 wheat lines, including 47 to 72 contrasts for known traits – such as early vigour, transpiration efficiency, stem soluble carbohydrates, stay green, etc. •Environmental Characterisation- soil and weather characterisation per site •Phenotyping protocols - Common protocols were agreed on for three areas of research activities: screen development, trait comparison and characterisation •Project Workshop - training meeting held in Aleppo May 2010 •Data Management – Translational data base where data are being collated
  • 8. Activities 20-25 field trials between 2010 to 2011 Characterized with molecular markers At least 3 -4 tentative papers Germplasm in national variety trials Future MARS tool - ICARDA
  • 9. Traits YLD Yield in Kg by hectare BIO Biomass HI Harvest index TR Threshing index TKW Thousand Kernel weight PH Plant height DH Date to heading DM Date to maturity DB Days to booting DA Days to Anthesis DT Days to tillering SEARF11 PM21 Number of plants, 1 week after emergence (m- 2) Merc11 GFP Grain filling period (or duration GFD) GCZ22 Ground cover at Zadoc scale 22 GCT Ground cover at Tillering GCSE Ground cover at Stem elongation GCET Ground cover at early tillering GCZ12 Ground cover at Zadoc scale 12 GCET Ground Cover at early tillering GCLT Ground Cover at late tillering VIGE Vigor early VIGET Vigor at early tillering VIGLT Vigor at late tillering VIGSE Vigor at stem elongation VIGZ12 Vigor at Zadoc scale12 SL Spike length PL Peduncle length SPM2 Number of spike per meter square KM2 Number of kernel by meter square KWM2 Kernel weight per meter square KSPK Number of kernel per spike PW1D 1 Dcm weight from Peduncle SKW Sample kernel weight SB Sample biomass SSN Sample Spike number SKN Sample kernel number NDVI 1 NDVI 4days after heading NDVI 2 NDVI 15days after heading NDVI 3 NDVI25days after heading NDVI 4 NDVI 34days after heading SPAD1 SPAD 8 daya after heading SPAD2 SPAD 15 daya after heading SPAD3 SPAD 23 daya after heading SW stem Wax LW Leaf Wax LR Leaf rolling LD32DAH Leaves death 32 Days after heading LD40DAH Leaves death 40 Days after heading CTH Canopy Temperature 14-4 at Heading ATH Air Temperature 14-4 at heading DTH DIF (AIR T -Canopy T) 14-4 at heading CTBGF Canopy temperature at begining of grain filling 21-4 ATBGF Air Temperature 21-4 at begining of grain filling DTBGF DIF (AIR T -Canopy T) 21-4 at begining of grain filling CTEGF Canopy temperature at Late of grain filling 4-5 ATEGF Air Temperature 4-5 at Late of grain filling DTEGF DIF (AIR T -Canopy T) 4-5 at Late of grain filling FLA Flag leaf Area FLL Flag leaf length FLW Flag leaf width DLW Dry weight Flag leaf SLW Specific leaf weight CTMGF Canopy temperature at the MID grain filling TH10 CTEGF Canopy temperature at the end of grain filling TH10 CTTL Canopy temperature at Tillering CTBT Canopy temperature at booting SPAD SPAD CTBGF Canopy temperature at begining of grain filling CTMGF Canopy temperature at mid- grain filling CTEGF Canopy temperature at the end of grain filling TP Tipping percentage TD Tipping damage
  • 10. Impact-Is GCP germplasm useful for NARs? GCP AGM 21-25 Sept 2011 Environment Mean 1 2 3 4 BR11 2760 AUS30355 CHAM-6/SHUHA-14/73 DOBUC-1/FOW-2/125 KHATWA-4 ETHDH09 335 SsrT16 KHATWA-4 DOBUC-1/FOW-2/125 CHAM-6/SHUHA-14/73 ETHDH10 2249 SsrT16 KHATWA-4 DOBUC-1/FOW-2/125 CHAM-6/SHUHA-14/73 ETHML09 749 SsrT16 KHATWA-4 DOBUC-1/FOW-2/125 CHAM-6/SHUHA-14/73 ETHML10 2311 AUS30355 KHATWA-4 SsrT16 DOBUC-1/FOW-2/125 MERC11 3215 VOROBEY CHAM-6/SHUHA-14/19 DOUMA-4 NEJMAH-16 SEAIRR10 1878 AUS30355 SHIHAB-12 AUS30354 KAUZ'S'/PREW SEAIRR11 4225 SHIHAB-12 KOUKAB-2 SOKOLL MOOWAFAQ-3 SEARF10 1788 AUS30355 VOROBEY ATTILA-7 CHAM-6/SHUHA-14/19 SEARF11 4473 SsrT16 CHAM-6/SHUHA-14/19 NEJMAH-16 ATTILA-7 TH10 2995 AUS30355 CHAM-6/SHUHA-14/73 DOBUC-1/FOW-2/125 KHATWA-4 TH11 3259 AUS30355 CHAM-6/SHUHA-14/73 KHATWA-4 DOBUC-1/FOW-2/125
  • 11. Meeting Aleppo May 2010: meeting and training, protocol agreement GCP AGM 21-25 Sept 2011
  • 12. ACKNOWLEDGMENTS Funding Agencies Collaborators Breeders: Osman Abdalla Greg Rebetzke Richard Richards David Bonnett Matthew Reynolds Richard Trethowan,