www.helsinki.fi/yliopisto
Root traits differ between wet- and dry-
adapted sets of faba bean accessions
selected by FIGS
H...
www.helsinki.fi/yliopisto
Faba bean genetic resources
25.6.2014
Maatalous-metsätieteellinen tiedekunta / Henkilön
nimi / E...
25.6.2014 3
Core collection / FIGS
25.6.2014 3
Core collection
FIGS
FIGS
FIGS represents a dynamic, direct and practical
a...
www.helsinki.fi/yliopisto 4
Why faba bean
(Vicia faba L.)?
© H Khazaei
5
0 50 100 150
0204060
figs_sub1$Longitude
figs_sub1$Latitude
201 accessions of faba bean from wet and 201 from dry region...
www.helsinki.fi/yliopisto
Measurements
•Stomatal morphology
•Stomatal function
•Relative Water Content
•Days to flowering
...
25.6.2014 7
Khazaei et al. (2013) PLoS ONE 8(5): e63107.
ROC plots (left) and density plots class prediction (right) for d...
8
Rank drought related parameter model
rpart-caret
1 Leaflet temperature 34.91
2 Canopy temperature 13.68
3 Relative water...
25.6.2014 925.6.2014 9
Distribution of FIGS sets
before and after evaluation
Geographical distribution of the two
sets bas...
www.helsinki.fi/yliopisto
Objectives
10
•To test whether faba bean germplasm from drought-
prone (dry) and drought-free en...
25.6.2014 11
-6 -4 -2 0 2 4 6 8 10 12
-4
-2
0
2
4
PC2
PC 1
 dry set
wet set
How the subsets chosen (6+6)
25.6.2014 12
Set Accession numbera Country Province Altitude (m) Latitude Longitude Seed size
Wet set Aurora/2 Sweden - - ...
13
Evaluating 12 accessions
(6 wet and 6 dry set)
• Randomized complete block with 4
replicates
(4 accessions, 2+2 wet  dr...
25.6.2014 14
45°
5 cm
30 cm
How the experimental
units arranged
Experimental units
Colourless
surface
Colourless
surface
D...
25.6.2014 15
Root profile after 32 days
© H Khazaei
Afghanistan Tajikistan
WetsetDryset
Aurora/2IG 114476 IG 99501IG 11498...
25.6.2014 16
Accessions
Root length
(cm)
Shoot length
(cm)
Root DM
(g)
Shoot DM
(g) Root / Shoot
Aurora/2 49.43 22.67 0.67...
25.6.2014 17
Root growth in wet and dry set under well
watered conditions (6+6)
Experiment1
25.6.2014 18
0
0.5
1
1.5
2
2.5
99501 114985 Mélodie/2 ILB 938/2
RootDM(g)
Accession
Control
Drought
51%
49%
10% 30%
Wet se...
25.6.2014 19
0
0.5
1
1.5
2
2.5
3
3.5
99501 114985 Mélodie/2 ILB 938/2
ShootDM(g)
Accession
Control
Drought
Wet set Dry set...
25.6.2014 20
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
99501 114985 ILB 938/2 Mélodie/2
Stomatalconductance
(molm-2s-1)
Accession
Cont...
25.6.2014 21
Kontu
0
5
10
15
20
25
30
35
40
45
50
55
5 9 13 17 21 25 28 32
Rootlength(cm)
Days after sowing
99501 control ...
25.6.2014 22
•The results supported that germplasm sets originating from
environments with contrasting seasonal water avai...
www.helsinki.fi/yliopisto
CIMO (Centre for International Mobility)
Emil Aaltosen Säätiö
ICARDA
Department of Agricultural ...
25.6.2014 24
Thank you for your attention
© H Khazaei© H Khazaei
25.6.2014 2525.6.2014 25
Climate change and crop
production
Climate change
average temperature
CO2 concentration
O3 concen...
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THEME – 3 Root traits differ between wet- and dry-adapted sets of faba bean accessions selected by FIGS

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THEME – 3 Root traits differ between wet- and dry-adapted sets of faba bean accessions selected by FIGS

  1. 1. www.helsinki.fi/yliopisto Root traits differ between wet- and dry- adapted sets of faba bean accessions selected by FIGS Hamid Khazaei1, Kenneth Street2, Abdallah Bari2 and F.L. Stoddard1 1 1 Department of Agricultural Sciences, University of Helsinki, Finland 2 International Centre for Agricultural Research in the Dry Areas, ICARDA, Rabat, Morocco
  2. 2. www.helsinki.fi/yliopisto Faba bean genetic resources 25.6.2014 Maatalous-metsätieteellinen tiedekunta / Henkilön nimi / Esityksen nimi 2 ICARDA (21%) ICGR-CAAS (10%) ATFCC (6%) ICARDA International Centre for Agricultural Research in the Dry Areas (Syria) ICGR-CAAS Institute of Crop Germplasm Resources, Chinese Academy of Agricultural Sciences (China) ATFCC Australian Temperate Field Crops Collection (Australia) ~ 7.5 million plant genetic resources 18% Food legumes 43,695 faba bean accessions Westengen et al. (2013) PLoS ONE 8(5): e64146 & http://apps3.fao.org/wiews. http://www.featurepics.com/online/NeedleHaystackPhoto36079.aspx
  3. 3. 25.6.2014 3 Core collection / FIGS 25.6.2014 3 Core collection FIGS FIGS FIGS represents a dynamic, direct and practical approach that focuses on specific adaptive traits rather than on generalized measures of diversity.
  4. 4. www.helsinki.fi/yliopisto 4 Why faba bean (Vicia faba L.)? © H Khazaei
  5. 5. 5 0 50 100 150 0204060 figs_sub1$Longitude figs_sub1$Latitude 201 accessions of faba bean from wet and 201 from dry region of the world, were chosen according to principals of the FIGS. During 2010-2011 300 mm/year ≤ dry set ≤ 550 mm/year wet set ≥ 800 mm/year
  6. 6. www.helsinki.fi/yliopisto Measurements •Stomatal morphology •Stomatal function •Relative Water Content •Days to flowering •Number of tillers •Seed size (major, equina, minor) 6
  7. 7. 25.6.2014 7 Khazaei et al. (2013) PLoS ONE 8(5): e63107. ROC plots (left) and density plots class prediction (right) for dry and wet sets using the three models. rpart - caret: Classification and Regression Training RF: Random Forests SVM: Support Vector Machines
  8. 8. 8 Rank drought related parameter model rpart-caret 1 Leaflet temperature 34.91 2 Canopy temperature 13.68 3 Relative water content 12.46 4 Leaflet area 9.95 5 Stomatal length 6.70 6 Fertile tillers 4.72 7 Stomatal area 4.13 8 Transpiration rate 3.61 9 Stomatal area per unit area of leaflet 2.75 10 Photosynthetic rate 2.34 11 Days to flowering 2.21 12 Intercellular CO2 1.64 13 Stomatal density 1.26 14 Water use efficiency 1.21 15 Stomatal conductance 0.86 16 Stomatal width 0.14 [ Rank of measurements that contribute the most to discriminate the sets.
  9. 9. 25.6.2014 925.6.2014 9 Distribution of FIGS sets before and after evaluation Geographical distribution of the two sets based on a priori information (climate data) Distribution of the two sets based on PCA of evaluation data -6 -4 -2 0 2 4 6 8 10 12 -4 -2 0 2 4 PC2 PC 1  dry set wet set
  10. 10. www.helsinki.fi/yliopisto Objectives 10 •To test whether faba bean germplasm from drought- prone (dry) and drought-free environments (wet) differed in root traits. •The initial findings were then tested in a subset of materials to examine response of wet and dry set accessions under drought conditions.
  11. 11. 25.6.2014 11 -6 -4 -2 0 2 4 6 8 10 12 -4 -2 0 2 4 PC2 PC 1  dry set wet set How the subsets chosen (6+6)
  12. 12. 25.6.2014 12 Set Accession numbera Country Province Altitude (m) Latitude Longitude Seed size Wet set Aurora/2 Sweden - - - - minor IG 114476 Bangladesh Dhaka 50 23.8167 90.0833 paucijuga IG 99501 China Zhejiang 299 28.8167 121.1 equina IG 114985 Nepal Kosi 140 26.4664 87.4469 paucijuga IG 132238 China Guangdong 200 24.36 115.59 equina IG 117833 China Yunnan 1680 24.8594 103.278 major Dry set IG 13987 (ILB 938) Ecuador - - - - equina Mélodie/2 France - - - - minor IG 11689 Afghanistan Baghlan 1640 35.6 69.1667 minor IG 131708 Tajikistan Khudzhand 2000 39.378 68.591 minor IG 72309 Syria Damascus 931 33.4333 36.0833 major IG 13505 Cyprus Nicosia 320 35.0667 33.0667 major a more information on accessions available at: https://www.genesys-pgr.org/ Accessions used for root traits screening
  13. 13. 13 Evaluating 12 accessions (6 wet and 6 dry set) • Randomized complete block with 4 replicates (4 accessions, 2+2 wet dry) response to drought stress • Stress treatment plants got 50 % of field capacity. • Completely randomized factorial design with 4 replicates • Well watered conditions Water holding capacity = 18% (w/w) Each box (7.72 kg) brought to WHC by adding 1400 ml of water Germplasmsurvey Exp.1 Droughtresponse Exp.2 © H Khazaei © H Khazaei Soil :sandy soil with organic matter 3-6 % (m). pH 6.7, Ca 1300, P 21 , K 130, Mg 113
  14. 14. 25.6.2014 14 45° 5 cm 30 cm How the experimental units arranged Experimental units Colourless surface Colourless surface Dark cover
  15. 15. 25.6.2014 15 Root profile after 32 days © H Khazaei Afghanistan Tajikistan WetsetDryset Aurora/2IG 114476 IG 99501IG 114985 IG 132238 IG 117833 ILB 938Mélodie/2IG 11689IG 131708 IG 72309 IG 13505 Experiment 1
  16. 16. 25.6.2014 16 Accessions Root length (cm) Shoot length (cm) Root DM (g) Shoot DM (g) Root / Shoot Aurora/2 49.43 22.67 0.679 0.649 1.05 IG 114476 48.17 21.27 0.256 0.305 0.84 IG 99501 40.20 25.60 0.524 0.607 0.86 IG 114985 51.73 19.60 0.372 0.314 1.18 IG 132238 41.80 28.37 0.469 0.913 0.51 IG 117833 47.80 24.90 0.462 0.542 0.85 mean 46.52 23.73 0.460 0.555 0.88 SEM 1.85 1.30 0.058 0.093 0.10 ILB 938 41.37 26.03 0.524 0.729 0.72 Mélodie/2 51.13 25.07 0.551 0.820 0.67 IG 11689 43.37 26.20 0.518 0.526 0.98 IG 131708 49.67 26.07 0.640 0.845 0.76 IG 72309 46.50 34.10 0.831 1.256 0.66 IG 13505 49.73 30.90 0.847 1.209 0.70 mean 46.96 28.06 0.652 0.897 0.75 SEM 1.60 1.47 0.062 0.115 0.05 Experiment1 Characteristics of the roots and shoot of faba bean accessions (32-day-old seedlings)
  17. 17. 25.6.2014 17 Root growth in wet and dry set under well watered conditions (6+6) Experiment1
  18. 18. 25.6.2014 18 0 0.5 1 1.5 2 2.5 99501 114985 Mélodie/2 ILB 938/2 RootDM(g) Accession Control Drought 51% 49% 10% 30% Wet set Dry set Experiment2 Effects of water treatments on the root dry weight in dry and wet set accessions (2+2).
  19. 19. 25.6.2014 19 0 0.5 1 1.5 2 2.5 3 3.5 99501 114985 Mélodie/2 ILB 938/2 ShootDM(g) Accession Control Drought Wet set Dry set 64% 51% 39% 37% Effects of water treatments on the shoot dry weight in dry and wet set accessions (2+2). Experiment2
  20. 20. 25.6.2014 20 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 99501 114985 ILB 938/2 Mélodie/2 Stomatalconductance (molm-2s-1) Accession Control Drought Wet set Dry set Effects of water treatments on the stomatal conductance in dry and wet set accessions (2+2). Experiment2
  21. 21. 25.6.2014 21 Kontu 0 5 10 15 20 25 30 35 40 45 50 55 5 9 13 17 21 25 28 32 Rootlength(cm) Days after sowing 99501 control 114985 control Melodie control ILB 938/2 control 99501 drought 114985 drought ILB 938/2 drought Melodie drought Root length in response to water deficit Experiment2
  22. 22. 25.6.2014 22 •The results supported that germplasm sets originating from environments with contrasting seasonal water availability will display root traits differences when they exposed under water stress. • FIGS can reduce the cost and increase efficientness of germplasm evaluation by reducing the number of accessions screened while providing a higher probability of identifying sought-after traits. Conclusions • Further studies should be conducted under conditions where taproot expansion is not restricted.
  23. 23. www.helsinki.fi/yliopisto CIMO (Centre for International Mobility) Emil Aaltosen Säätiö ICARDA Department of Agricultural Sciences, HU FIGS Finnish Doctoral Program in Plant Science Niemi Säätiö 23 Acknowledgments
  24. 24. 25.6.2014 24 Thank you for your attention © H Khazaei© H Khazaei
  25. 25. 25.6.2014 2525.6.2014 25 Climate change and crop production Climate change average temperature CO2 concentration O3 concentration Positive impactsNegative Impacts CO2-fertilization, productivity Longer growing season (high lat. & alt.) Warmer climate for plant production (high lat. & alt.) Growing new crops Melting snow and ice rising global sea level Accelerate mutation rate Planning issue due to less reliable forecast Increased weed growth Impacts on diseases can be + or -, depending on host-pathogen interaction Increased soil erosion Drought stress Heat stress* *Combined impacts * Increase pest infestation Losing biodiversity + or -

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