genetic analysis of drought tolerance in cowpea (vigna unguiculata l.)
DESCRIPTION
Major Constraints of Cowpea Production,Phenotyping,Genotyping and genetic map construction,QTL mapping,Implications for breedingTRANSCRIPT
Genetic analysis of drought tolerance in
cowpea (Vigna unguiculata L.)
Eugene M. Agbicodo Feb. 8th 2010
Outline
Introduction
Phenotyping
Genotyping and genetic map construction
QTL mapping
Implications for breeding
Cowpea
Vigna unguiculata L. Walp
Family: Fabaceae
Diploid: 2n = 22
Genome size: ~620 Mbp
Self pollinated crop
www.iita.org
Cowpea Production
FAO:http://www.fao.org/inpho/content/compend/text/ch32/ch32.htm
Major Constraints of Cowpea Production
Drought stress and cowpea production
Drought stress occurred throughout the cropping season (early- mid- and terminal)
Mid- and late-season drought stress have received considerable attention given their negative effects on yield (Hall et al. 2004)
However, drought tolerance at seedling is receiving attention Singh et al. (1999 a,b) Muchero et al. (2008; 2009a)
Plant MaterialsTVu7778Danila
Recombinant inbred lines (RILs)
X
Susceptible parent
F1
F2
DanilaX
DanilaX
Danila
Tolerant parent
F1
XDanila
F1
XDanila
F2
F1
XDanila
F2
F1
XDanila
F2
F1
XDanila
F2
F1
XDanila TVu7778
F2
F1
XDanila TVu7778
F2
F1
XDanila
Susceptible parent
TVu7778
F2
F1
XDanila
Phenotyping
RILs derived from Danila (tolerant) and TVu7778
(susceptible) were evaluated for:
1. Drought tolerance at seedling
2. Terminal drought tolerance
130 cm length, 65 cm width and 15 cm depth
1:1 mixture of top soil and sand
Drought phenotyping at seedling stage
1 2 3 4 5 61 2 3 4 5 61 2 3 4 5 6
Parameters measured:
• Stem greenness (Stg)
• Drought-induced trifo-
liate senescence (DTS)
• Survival after rewatering
(Sur)
Phenotyping for terminal drought
RCBD with 2 treatments, 3 rep
Drought imposed at flowering
Locations: Kano and Ibadan
Terminal drought field trials
•Ibadan
Phenotyping for terminal drought tolerance
Parameters measured:
stomatal conductance (Gs), RWC
days to flowering
delay leaf senescence (DLS): visual scoring 1-5 classes
number and weight of pods, total seed weight,
100 seed-weight, fresh and dry fodder weight
Genotyping
RILs/parents genotyped Illumina Goldengate SNP array, 1,536 SNPs mined from EST sequences from several sources (UCR, IITA)
1,248 SNP were selected from ESTs derived from 11 cowpea genotypes
After data processing, only 322 SNPs with minor allele frequency > 0.30 were used to construct genetic map using JoinMap 4
QTL mapping
Entry mean of terminal (field) and seedling
(greenhouse) drought tolerance traits
SNP genetic linkage map of 282 loci with 11 LGs
QTL analysis was performed using MapQTL 5,
(Kruskal-Wallis test, Interval Mapping, Multiple-
QTL Model mapping )
Susceptible
Parent
RiL-117 Tolerant
Parent
RiL-106 Susceptible
Parent
RiL-87Susceptible
Parent
RiL-117 Tolerant
Parent
RiL-106 Susceptible
Parent
RiL-87
Results
Stg, DTS and Sur varied
significantly between RILs
and parents
Seedling phenotyping
Correlation of traits at seedling
Seedling survival mostly depend on stem greenness
(0.911)
Stem greenness is negatively correlated with
drought-induced trifoliate senescence (-0.714)
1 4
3 3
1 1
21
Results
Variation of RILs for delayed leaf senescence (DLS)
(a) (b) (c) (d)
5 10 15 20 25 30 35
Wet
Dry
Stomatal conductance
(mmol m-2s-1)
Wet
Dry
Delayed leaf senescence (DLS) Days to flowering
Wet
Dry
Number of Pods/plant
Wet
Dry
Number of seeds/pod
(e)
Wet
Dry
Grain yield (g/plant)
(g)
Wet
Dry Dry
Wet
Fodder yield (g/plant)
(h)
Seed weight (g)
(f)
Wet
Dry
Num
ber
of
RIL
sN
umbe
r o
f R
ILs
DD
T
D
D
D
TD
T T
T D
DT
TD
D
TD
T D
T
T
D
50 100 150 200 250 300 36 39 42 45 48 511 2 3 4 5
1 2 3 4 5 50 100 150 200 250 300
3 6 9 12 15 18 0,03 0,06 0,09 0,12 0,15 0,18 0,21
0,03 0,06 0,09 0,12 0,15 0,18 0,21
3 6 9 12 15 18 21
DT
5 10 15 20 25 30 35
3 6 9 12 15 18 2136 39 42 45 48 51
3 6 9 12 15 18
3 6 9 12 15 18 21
3 6 9 12 15 18 21
T
T
D T
T
D
(a) (b) (c) (d)
5 10 15 20 25 30 35
Wet
Dry
Stomatal conductance
(mmol m-2s-1)
Wet
Dry
Delayed leaf senescence (DLS) Days to flowering
Wet
Dry
Number of Pods/plant
Wet
Dry
Number of seeds/pod
(e)
Wet
Dry
Grain yield (g/plant)
(g)
Wet
Dry Dry
Wet
Fodder yield (g/plant)
(h)
Seed weight (g)
(f)
Wet
Dry
Num
ber
of
RIL
sN
umbe
r o
f R
ILs
DD
T
D
D
D
TD
T T
T D
DT
TD
D
TD
T D
T
T
D
50 100 150 200 250 300 36 39 42 45 48 511 2 3 4 5
1 2 3 4 5 50 100 150 200 250 300
3 6 9 12 15 18 0,03 0,06 0,09 0,12 0,15 0,18 0,21
0,03 0,06 0,09 0,12 0,15 0,18 0,21
3 6 9 12 15 18 21
DT
5 10 15 20 25 30 35
3 6 9 12 15 18 2136 39 42 45 48 51
3 6 9 12 15 18
3 6 9 12 15 18 21
3 6 9 12 15 18 21
T
T
D T
T
D
5 10 15 20 25 30 35
Wet
Dry
Stomatal conductance
(mmol m-2s-1)
Wet
Dry
Delayed leaf senescence (DLS) Days to flowering
Wet
Dry
Number of Pods/plant
Wet
Dry
Number of seeds/pod
(e)
Wet
Dry
Grain yield (g/plant)
(g)
Wet
Dry Dry
Wet
Fodder yield (g/plant)
(h)
Seed weight (g)
(f)
Wet
Dry
Num
ber
of
RIL
sN
umbe
r o
f R
ILs
DD
T
D
D
D
TD
T T
T D
DT
TD
D
TD
T D
T
T
D
50 100 150 200 250 300 36 39 42 45 48 511 2 3 4 5
1 2 3 4 5 50 100 150 200 250 300
3 6 9 12 15 18 0,03 0,06 0,09 0,12 0,15 0,18 0,21
0,03 0,06 0,09 0,12 0,15 0,18 0,21
3 6 9 12 15 18 21
DT
5 10 15 20 25 30 35
3 6 9 12 15 18 2136 39 42 45 48 51
3 6 9 12 15 18
3 6 9 12 15 18 21
3 6 9 12 15 18 21
T
T
D T
T
D
Wet
Dry
Stomatal conductance
(mmol m-2s-1)
Wet
Dry
Delayed leaf senescence (DLS) Days to flowering
Wet
Dry
Number of Pods/plant
Wet
Dry
Number of seeds/pod
(e)
Wet
Dry
Grain yield (g/plant)
(g)
Wet
Dry Dry
Wet
Fodder yield (g/plant)
(h)
Seed weight (g)
(f)
Wet
Dry
Num
ber
of
RIL
sN
umbe
r o
f R
ILs
DD
T
D
D
D
TD
T T
T D
DT
TD
D
TD
T D
T
T
D
50 100 150 200 250 300 36 39 42 45 48 511 2 3 4 5
1 2 3 4 5 50 100 150 200 250 300
3 6 9 12 15 18 0,03 0,06 0,09 0,12 0,15 0,18 0,21
0,03 0,06 0,09 0,12 0,15 0,18 0,21
3 6 9 12 15 18 21
DT
5 10 15 20 25 30 35
3 6 9 12 15 18 2136 39 42 45 48 51
3 6 9 12 15 18
3 6 9 12 15 18 21
3 6 9 12 15 18 21
T
T
D T
T
D
Frequency distribution of traits in Kano
(i) (j) (k) (l)
Wet
Dry
Stomatal conductance
(mmol m-2s-1)
Wet
Dry
Delayed leaf senescence (DLS) Days to flowering
Wet
Dry
Number of Pods/plant
Wet
Dry
Number of seeds/pod
(m)
Wet
Dry
Grain yield (g/plant)
(o)
Wet
Dry Dry
Wet
Fodder yield (g/plant)
(p)
Seed weight (g)
(n)
Wet
Dry
Num
ber
of
RIL
sN
umbe
r o
f R
ILs
D
DT
T
D
D
D
T
D
T
T
T
T D
DT
T
D
D
TD
T
DT
TD
D
T
T
D
5 10 15 20 25 30 35
50 100 150 200 250 300 43 46 49 52 55 58
43 46 49 52 55 58
1 2 3 4 5
1 2 3 4 5 50 100 150 200 250 300
2 4 6 8 10 12
2 4 6 8 10 12
0,03 0,06 0,09 0,12 0,15 0,18 0,21
0,03 0,06 0,09 0,12 0,15 0,18 0,21
4 8 12 16 20 24 28 32
5 10 15 20 25 30 35
5 10 15 20 25 30 35
D
T
4 8 12 16 20 24 28 32
5 10 15 20 25 30 35
(i) (j) (k) (l)
Wet
Dry
Stomatal conductance
(mmol m-2s-1)
Wet
Dry
Delayed leaf senescence (DLS) Days to flowering
Wet
Dry
Number of Pods/plant
Wet
Dry
Number of seeds/pod
(m)
Wet
Dry
Grain yield (g/plant)
(o)
Wet
Dry Dry
Wet
Fodder yield (g/plant)
(p)
Seed weight (g)
(n)
Wet
Dry
Num
ber
of
RIL
sN
umbe
r o
f R
ILs
D
DT
T
D
D
D
T
D
T
T
T
T D
DT
T
D
D
TD
T
DT
TD
D
T
T
D
5 10 15 20 25 30 35
50 100 150 200 250 300 43 46 49 52 55 58
43 46 49 52 55 58
1 2 3 4 5
1 2 3 4 5 50 100 150 200 250 300
2 4 6 8 10 12
2 4 6 8 10 12
0,03 0,06 0,09 0,12 0,15 0,18 0,21
0,03 0,06 0,09 0,12 0,15 0,18 0,21
4 8 12 16 20 24 28 32
5 10 15 20 25 30 35
5 10 15 20 25 30 35
D
T
4 8 12 16 20 24 28 32
5 10 15 20 25 30 35
Wet
Dry
Stomatal conductance
(mmol m-2s-1)
Wet
Dry
Delayed leaf senescence (DLS) Days to flowering
Wet
Dry
Number of Pods/plant
Wet
Dry
Number of seeds/pod
(m)
Wet
Dry
Grain yield (g/plant)
(o)
Wet
Dry Dry
Wet
Fodder yield (g/plant)
(p)
Seed weight (g)
(n)
Wet
Dry
Num
ber
of
RIL
sN
umbe
r o
f R
ILs
D
DT
T
D
D
D
T
D
T
T
T
T D
DT
T
D
D
TD
T
DT
TD
D
T
T
D
5 10 15 20 25 30 35
50 100 150 200 250 300 43 46 49 52 55 58
43 46 49 52 55 58
1 2 3 4 5
1 2 3 4 5 50 100 150 200 250 300
2 4 6 8 10 12
2 4 6 8 10 12
0,03 0,06 0,09 0,12 0,15 0,18 0,21
0,03 0,06 0,09 0,12 0,15 0,18 0,21
4 8 12 16 20 24 28 32
5 10 15 20 25 30 35
5 10 15 20 25 30 35
D
T
4 8 12 16 20 24 28 32
5 10 15 20 25 30 35
Frequency distribution of traits in Ibadan
Traits Irrigation Drought RR% Irrigation Drought RR%
Days to flowering
No of seed/pod
Grain yield (g/plant)
Fodder yield (g/plant)
Total yield (g/plant)
Gs (mmol m-2s-1)
RWC%
No of pod/plant
100 Seed sweight (g)
19.3 (7-65) 51.0
49.5 (38-62) 48.3 (33-60) 2.4 43.4 (36-76) 40.6 (34-57) 6.4
35.5 (19-130) 18.4 (6-70) 48.2 39.3 (20-86)
6.5 (0-21) 46.7
20.8 (11-61) 10.3 (2-41) 50.5 27.2 (11-54) 12.8 (3-45) 52.9
14.7 (4-74) 8.1 (0-30) 44.7 12.1 (4-45)
10.0 (0-17) 16.6
6.9 (3-19) 6.4 (0-15) 6.3 7.6 (3-14) 7.4 (0-14) 1.4
12.1 (8-20 ) 10.0 (0-16) 16.6 12.0 (8-18)
86.0 (62-99) 0.4
17.1 (4-40) 10.9 (0-26) 36.4 13.7 (8-26) 8.1 (0-19) 40.6
89.5 (52-98) 89.4 (74-99) 0.1 86.3 (61-100)
Kano Ibadan
175.4 (51-411) 95.2 (18-228) 45.7 246 (136-404) 121.1 (11-298) 50.7
Effect of water stress on plant performances
Results
Correlation and path analyses
Direct and indirect effects of variables on GYD [rij] x [Pi-Y] [ri-Y]
Indirect effect via seed weight 0.431 x 0.086 0.037
Indirect effect via number of seed/pod 0.501 x 0.200 0.100
Indirect effect via stomatal conductance 0.232 x 0.055 0.013
Indirect effect via flowering time 0.001 x 0.034 0.000
Indirect effect via delayed leaf senescence 0.045 x 0.023 0.001
Indirect effect via fodder yield 0.438 x 0.246 0.107
Direct effect of number of pods/plant with GYD 0.587
Total (correlation between number of pod/plant and GYD) 0.845
Correlation between No of pod/plant and GYD is 0.845
=
Drought Irrigation
GYDP=0.055
X7
X6
X5
X4
X3
X2
X1
r=0.
43
1r=
0.4
45
r=-0
.10
5r=
-0.0
42
r=0.
19
8r=
0.4
01
(X)Residualfactors
X7
X6
X5
X4
X3
X2
X1
r=0.
24
2r=
0.0
11
r=-0
.04
0r=
-0.3
34
P=0.064
(X)Residualfactors
Kano
Correlations and
path coefficient for
7 traits with direct
and indirect effect
on grain production
under drought in Kano
Results
LG No Markers Length cM Distance between Markers
1 58 111.6 2
2 21 31.6 1.5
3 26 66.3 2.6
4 27 59.6 2.2
5 28 52.8 2
6 27 78.6 3
7 26 60.4 2.3
8 21 44.1 2
9 19 33.7 1.7
10 17 40 2.3
11 12 54.3 4.5
Total 282 633 2.2
SNP genetic linkage map
This genetic linkage map is integrated in consensus map of 7 RILs
populations with 928 SNPs (Muchero et al. 2009b)
Genetic linkage map and QTL identified at seedling
Kruskal-Wallis Range % Variation
QTL LG Position (cM) Flanking Markers Significant level Dry Wet RR Dry Wet RR Dry Wet RR Explained
Gs-1 2 40.03 - 50.98 1_0595 - 1_1158 0.01 -0.001 na na na 2.91 1.34 0.28 1.12 1.03 0.62 2.1 - 10.7
Gs-2 7 2.06 - 10.95 1_1249 - 1_0559 0.01 -0.001 na na na 1.97 1.05 0.45 2.29 0.94 0.24 3.4 - 9.7
Gs-3 7 2.06 - 20.68 1_1249 - 1_1414 0.01 -0.001 na na na 2.63 1.14 1.32 2.15 0.66 0.87 3.8 - 12.8
Gs-4 8 23.13 - 31.32 1_1168 - 1_0530 0.01 -0.001 na na na 3.12 2.35 0.92 1.82 2.05 1.05 5.5 - 18.5
DLS-1 3 7.73 -32.66 1_0853 - 1_1349 0.01 - 0.001 na na na 4.20 4.31 2.34 3.78 4.09 2.08 9.3 - 17.8
DLS-2 3 19.33 - 28.96 1_1195 - 1_0104 0.01 - 0.001 na na na 3.97 2.87 1.98 4.33 3.11 2.19 3.9 - 16.2
DLS-3 3 54.25 - 70.41 1_1027 - 1_0594 0.05 - 0.001 na na na 3.91 2.71 2.03 3.75 2.06 2.02 6.1 -19.4
DLS-4 5 5.81 - 38.03 1_0309 - 1_0037 0.05 - 0.001 na na na 4.87 3.67 1.98 2.76 2.32 1.82 7 - 15.2
DLS-5 7 17.68 - 37.68 1_1414 - 1_0056 0.001 - 0.0001 na na na 10.75 4.89 3.10 5.21 2.59 2.26 10.3 - 46.3
DLS-6 7 20.68 - 41.89 1_1414 - 1_1249 0.001 - 0.0001 na na na 3.91 2.82 2.81 7.86 3.95 3.00 8.7 - 32.7
Flow-1 8 0 - 15.19 1_0298 - 1_0141 0.01 - 0.001 4.07 2.90 1.77 7.19 5.42 2.32 3.39 2.01 3.26 3.8 - 27.8
Flow-2 8 0 - 9.19 1_0298 - 1_1370 0.01 - 0.0001 3.89 3.10 2.46 5.29 3.42 3.64 4.61 3.43 3.29 5.6 - 19.6
Flow-3 5 16.34 - 31.70 1_0924 - 1_0800 0.001 - 0.0001 1.78 1.07 0.37 3.62 3.10 2.09 1.97 0.59 0.21 7.9 - 16.2
Flow-4 9 23.18 - 39.99 1_1467 - 1_1408 0.01 - 0.001 2.65 2.03 1.02 2.05 3.54 0.93 1.04 0.22 0.09 3.9 - 8.6
Flow-5 7 7.37 - 13.21 1_0056 - 1_0270 0.01 - 0.0001 3.36 1.39 0.96 3.43 0.98 1.01 0.97 0.23 0.09 2.2 - 10.2
Pod-1 3 73.83 - 78.30 1_0299 - 1_1349 0.01 - 0.0001 2.17 0.97 0.76 3.06 2.32 0.47 2.33 1.98 0.83 5.3 - 10.8
Pod-2 4 11.46 - 15.842 1_0275 - 1_0856 0.01 - 0.001 1.88 0.43 1.02 2.36 3.24 1.04 1.99 2.88 1.02 0.6 - 12.6
Pod-3 4 9.88 - 18.22 1_0304 - 1_1013 0.05 - 0.001 2.10 0.89 0.32 3.24 3.23 1.21 2.88 2.00 1.22 5.2 -12.7
Pod-4 5 25.58 - 32.70 1_0346 - 1_0800 0.05 - 0.001 1.22 0.88 0.46 0.27 0.43 0.01 2.21 0.37 0.08 2.5 - 8.5
Pod-5 8 18.68- 22.12 1_1370 - 1_0530 0.01 - 0.001 0.25 0.76 0.03 2.27 0.91 0.23 0.27 0.08 0.02 8.5 - 10.1
Pod-6 9 57.72 - 69.64 1_0221 - 1_1236 0.05 - 0.001 0.09 0.06 0.37 2.00 3.50 1.98 0.87 0.24 0.05 9.1 - 13.9
Pod-7 10 19.28 - 31.81 1_0416 - 1_0598 0.05 - 0.001 3.20 0.97 0.54 1.20 0.49 0.19 0.76 0.06 0.01 12.1 - 13.7
Days to flowering; permutation threshold 3.20
Stomatal Conductance Gs; permutation threshold (GW)* 2.10
Dealyed leaf senescence (DLS); permutation threshold 3.60
Number of pod/plant; permutation threshold 2.10
Year 1 (Kano) Year 2 (Kano) Year 2 (Ibadan)
QTL mapping for terminal drought tolerance traits
Kruskal-Wallis Range % Variation
QTL LG Position (cM) Flanking Markers Significant level Dry Wet RR Dry Wet RR Dry Wet RR Explained
Seed/P-1 2 23.05 - 29.95 1_1352 - 1_1230 0.05 - 0.001 2.29 1.98 0.69 1.64 1.97 0.41 0.90 0.76 0.25 5.8 - 9.2
Seed/P-2 3 13.328 - 18.42 1_1073 - 1_0373 0.05 - 0.001 0.01 0.02 0.01 2.26 2.20 0.43 1.03 2.40 0.02 4.2 - 10
Seed/P-3 4 11.46 - 17.22 1_0275 - 1_0398 0.05 - 0.001 0.81 0.82 0.01 1.56 2.25 0.87 1.22 2.73 0.51 5.3 - 9.4
Seed/P-4 4 25.03 - 33.41 1_0106 - 1_0774 0.05 - 0.001 0.02 0.01 0.01 0.87 2.30 0.20 2.10 4.66 1.92 4.7 - 17.3
Seedwt-1 4 7.88 - 21.27 1_0304 - 1_0106 0.001 - 0.001 2.59 2.30 0.90 3.62 2.49 0.65 2.10 1.04 0.72 5.7 - 13.8
Seedwt-2 6 2.93 - 8.32 1_1381 - 1_0943 0.01 - 0.001 5.97 2.58 0.45 1.93 1.22 0.32 2.06 2.01 0.67 8.8 - 10.9
Seedwt-3 6 0 - 12.32 1_0911 - 1_0943 0.001 - 0.001 5.97 2.58 1.93 2.46 0.99 0.39 2.29 2.21 1.09 6 - 22.8
Seedwt-4 10 47.37 - 55.99 1_0840 - 1_0007 0.001 - 0.001 2.41 0.90 0.08 2.19 4.29 1.93 2.03 2.89 1.03 12.1 - 19.3
Seedwt-5 10 6.77 - 19.28 1_1189 - 1_1049 0.01 - 0.001 3.41 0.53 0.12 2.93 0.90 1.32 1.22 0.87 0.09 7.4 -15.1
GY-1 8 17.19 - 27.13 1_1370 - 1_0530 0.01 - 0.001 0.21 0.09 0.00 2.71 0.91 0.04 1.24 1.01 0.38 8.5 - 13.8
GY-2 5 32.72 - 43.25 1_0419 - 1_0819 0.01 - 0.001 0.91 2.01 0.82 1.24 2.77 0.03 0.78 0.54 0.19 4.6 - 10.1
GY-3 9 10.5 - 30.49 1_0703 - 1_0137 0.01 - 0.001 0.02 0.98 0.32 2.36 2.92 1.03 1.87 2.44 0.21 8.5 - 12.2
GY-4 7 2.06 - 13.52 1_0248 - 1_0270 0.01 - 0.001 2.63 1.25 0.52 2.76 1.98 1.00 1.98 1.32 0.08 4.2 - 8.3
GY-5 3 0 - 14.09 1_0105 - 1_1065 0.001 - 0.001 1.98 0.91 0.09 2.10 3.11 1.08 2.13 1.92 0.05 6.7 - 12.9
GY-6 6 16.95 - 23.59 1_0706 - 1_0123 0.001 - 0.001 1.34 1.21 0.03 0.91 0.42 0.02 2.67 0.76 0.01 4.7 - 9.8
FY-1 5 23.54 - 29.67 1_0081 - 1_0800 0.05 - 0.001 1.23 1.98 0.91 3.10 2.77 1.22 2.12 0.03 0.01 6.7 - 9.1
FY-2 6 19.61 - 32.06 1_1381 - 1_0943 0.01 - 0.001 0.65 0.90 0.01 2.03 2.97 0.90 0.01 0.01 0.07 6.3 - 9.6
FY-3 10 31.42 - 53.05 1_0865 - 1_0354 0.05 - 0.001 0.03 0.01 0.01 1.82 1.43 0.76 4.53 2.41 0.09 6.7 -12.50
FY-4 6 8 - 31.06 1_0323 - 1_0943 0.05 - 0.001 2.01 0.04 0.06 0.98 0.62 0.03 2.07 3.96 0.21 7.4 - 13
FY-5 4 35.75 - 52.68 1_1221 - 1_1147 0.01 - 0.001 2.95 2.15 1.02 1.06 0.92 0.01 0.18 1.03 0.10 7.2 - 17.2
Fodder yield; permutation threshold 2.00
Number of seed/pod; permutation threshold 2.00
Seed weight; permutation threshold 2.40
Grain yield; permutation threshold 2.00
Year 1 (Kano) Year 2 (Kano) Year 2 (Ibadan)
QTL mapping for terminal drought tolerance triats
QTL-environment interactions
Grain and fodder yield and grain yield
components were most affected by environment
with QTL specific to water regime, location and
year.
QTL-water treatment and location effects were
also observed for stomatal conductance, but to
the lesser extend for DLS and flowering time
QTL-environment interactions
QTL-water treatment, location and year effects
might be due to:
1. Experimental errors during measurements
2. Unstable weather conditions in Ibadan
3. Soil in Ibadan is richer (N, Zn, Fe, Mn)
4. Differences in soil water retention capacity with
more clay in Ibadan.
QTL-environment interactions
The QTL-environment interactions suggest that
some specific sets of genes account for traits
under water stress and well-watered conditions
Similar results were reported by (Sangara et al.
2001; 2004; Levi et al. 2009)
Co-localization of physiological
and productivity QTLs
Common genomic regions
These 4 common regions on LG3, LG5, LG7, LG8 where QTLs for Gs, DLS, flowering time, yields and yield components co-localized represent hot spot for drought tolerance traits.
These results demonstrate that some genes loci that regulate plant ability to DLS, maintain higher stomatal conductance, promote flower and pod formations.
Conclusion and implications for breeding
Despite the higher number of 42 QTLs, four
chromosomal regions contain several QTLs for
physiological and productivity traits
Breeding for such QTLs in the common regions
may help to improve several aspects of the
drought response in cowpea
Muchero et al. 2009b
Comparative genomics
Implications for breeding
Marker loci defining the QTLs in the common
chromosomal regions represent candidates for
further molecular studies for MAS
The fact that our genetic map is integrated in a
consensus map of 7 RILs population will help for
comparative genomic studies.
Acknowledgements
WUR Plant Breeding
Richard Visser
Gerard van der Linden
Abiotic research group
IITA
Christian Fatokun
Satoru Muranaka
R. Bandyopadhyay
All Technicians
Financial Support
IITA-Lukas Brader Fund, all members of IITA board,
Leventis Foundation and IFAR, Wageningen UR Plant
Breeding
UCR
Jeff Ehlers
Tim Close
P. Roberts
M. Muchero
NN. Diop
© Wageningen UR
Dr Lukas Brader
Thanks for your attention