Multiplicative and sequential models of dormancy and ...
Transcript of Multiplicative and sequential models of dormancy and ...
Multiplicative and sequential models of dormancy and germination
of Striga hermonthica
Israel Dzomeku and Alistair Murdoch
University for Development Studies, Tamale, Ghana
University of Reading, UK.
11h World Congress on Parasitic Plants, Martina Franca, Italy. 7-12 June 2011
Prizes for the least attention-grabbing title!!
This must be one of the front-runners!
“To germinateor not to germinate?That is the question!”
Dormancy in the Orobanchaceae
Four types of seed dormancy
1. Primary dormancy (dry seeds)– Acquired on mother plant
– Effects:
»prevents vivipary
»seeds do not respond to stimulants
– Relieved faster in warm dry conditions
Four types of seed dormancy in Striga
2. Primary dormancy (imbibed seeds)– Acquired on mother plant (?)
– Effect:
»prevents or delays response to germination stimulants
– Relieved by “conditioning”
»seeds become more sensitive to stimulant
Four types of seed dormancy in Striga
3. Secondary dormancy (imbibed seeds)– Induced after dispersal
by prolonged conditioning
– Effect
»seeds become less sensitive to stimulant
– Relieved by “drying” followed by reconditioning
Do host root exudatesterminate dormancy or stimulate germination?
The last step in breaking dormancy?
OR
The first step in germination?
4. Stimulants remove a physiological or metabolic block to germination and so terminate dormancy. The seed is then free to germinate.
Focus on the second and third types seen in germination after seed conditioning
(Striga)C
0
20
40
60
80
100
0 45 90 135
Conditioning period at 25°C in water, days
Percentage
germinationafter 7 days
at 35°C in 3ppm GR24
C
0
20
40
60
80
100
0 45 90 135
Conditioning period, d
Germination (%)
after conditioning
What you seeInitial increase followed by a decrease in sensitivity to germination stimulant
What you get: 2 or 3 processes1) loss of primary dormancy and2) induction of secondary dormancy3) possible loss of viability
What is going on?1.Loss of primary dormancy 2.Induction of secondary dormancy
•Are these processes independent & concurrent? •Are they sequential?•Is there a lag period?
Conditioning (Striga)
Approach
1. Ultimate goal of this researchTo predict what will happen in the field
2. ApproachEmpirical models
3. Previous published researchAssume independent & concurrent processes
4. Here we tests that assumption statistically
Loss of 1ry
dormancy
Processes during conditioning
Conditioning period, days
Pro
port
ion o
f seed
pop
ula
tion a
ffecte
d, %
100
80
60
40
20
00 30 60 90 120 150 180 210
Seeds withNO secondary dormancy
Simplifiedmultiplicative modelG = Φp
-1. Φns-1
additive (sequential) modelG = Φp
-1- Φs-1
Φs-1
Φp-1
Φns-1
Secondary dormancy
Φ-1 : transformation from probits to proportions
C
0
20
40
60
80
100
0 45 90 135
Models
Multiplicative (independent & concurrent)1. All seeds, no lag period
2. Active seed fraction, no lag period (could not fit to data)
3. Active seed fraction, lag period
Sequential4. All seeds, no lag period
5. Active seed fraction, lag period (difficult to fit)
6. Active seed fraction, no lag period
Evaluated on seeds conditioned at different temperatures, water potentials and urea solutions
MultiplicativeNo lag
MultiplicativeWith lag
Sequential
No lagActive seeds
SequentialNo lagAll seeds
Sequential Lag timeActive seeds
Conditioning period, days
Perc
enta
ge g
erm
ination
Conditioned up to 135 days in water, no urea,
30°C
All seeds in secondary dormancy by 84 days
MultiplicativeWith lag timeAll seeds
SequentialNo lagAll seeds
Conditioning period, days
Perc
enta
ge g
erm
ination
Conditioned up to 135 days-1.5 Mpano urea20°C
All seeds in secondary dormancy by 84 days
No lagActive seeds
Sequential
MultiplicativeNo lag All seeds
MultiplicativeWith or without lag
All seeds
No lagActive seeds
Sequential
Models
Multiplicative (independent & concurrent)1. All seeds, no lag period (fairly good fit)
2. Active seed fraction, no lag period (could not fit to data)
3. Lag period before secondary dormancy starts (includes active fraction)
Rejected as no consistent pattern in lag periods
Sequential4. All seeds, no lag period (poor fit)
5. Active seed fraction, lag period (could not fit to data)
6. Active seeds, no lag period in each seed before secondary dormancy starts
Evaluated on seeds conditioned in 48 treatments
(temperature, water potential and urea)
Result
The sequential model
without a lag period
including active fraction of seeds
fitted the data with a lower residual
in 35 out of 48 treatments
The multiplicative model was often better at lower water potentials (-0.75 and -1.5 Mpa)
Validation of sequential model
�
Predicted lines from main experiment
�
Independent data: seeds conditioned at
20, 25, 35 °C�
0.0, -0.25, -0.75, –2.25 MPa
�
water or 0.083 mM urea
20°C
No N
20°C
+urea
25°C
No N
25°C
+urea
35°C
No N
35°C
+urea
Germ
inatio
n,
% in 3
ppm
GR
24
Conditioning period, days
0 28 56 84
100
806040200
100 806040
200
100 80
6040200
100 806040
200
100
806040200
100
806040200
0 MPa -0.25 -0.75 -2.25
0 28 56 840 28 56 840 28 56 84
Summary ...
n The sequential model wins!
n The previous model for Orobanche (published 1999) and other species, should be re-evaluated
n The model could help to predict what happens in soil (results not shown)
n Implied mechanistic hypothesis:– processes are linked and sequential
– Gene expression studies could help to test that hypothesis