Role of Phytochromes in Shade Avoidance Ecophysiological and Molecular aspects.
MODELING OLIVE ECOPHYSIOLOGICAL RESPONSE TO … · MODELING OLIVE ECOPHYSIOLOGICAL RESPONSE TO SOIL...
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MODELING OLIVE ECOPHYSIOLOGICAL RESPONSE TO SOIL WATER DEFICIT
C. Agnese, M. Minacapilli, G. Provenzano, G. RalloDipartimento
dei
Sistemi
AGro-Ambientali
XIV Convegno Nazionale di Agrometeorologia AIAM 2011 BOLOGNA, 7 - 8 - 9 giugno 2011
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Objective
In this study we focus on crop water stress response, to insight
into the dynamic of crop water status and transpiration fluxes.
•
Investigate the relationships between soil - plant water status and measured transpiration
• Determine critical thresholds of soil water content/matric potential
•
Define the parameters of water stress functions, that can be expressed as transpiration reduction coefficients:
α: relative transpiration Ks: normalized plant water status (evaluated by means leaf water potentials)
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Plant water stress models: α(h)
( ) 34
3 4
for <h h
h h hh h
α−
=−
( )
50
1
1ph
hh
α =⎛ ⎞
+ ⎜ ⎟⎝ ⎠
( )( )
( )*
*50
1
1
phh h
h h
α =⎡ ⎤−⎢ ⎥+⎢ ⎥−⎣ ⎦
( )( ) ( )
( )*
0*
0 max
1
11
phh h
h h
αα
α
=⎡ ⎤−−⎢ ⎥+⎢ ⎥−⎣ ⎦
Feddes (1976)
Modified
Feddes
van Genuchten (1987)
Dirksen
(1993)
Homaee (1999)Soil
pressure
head h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
α [‐]
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
α [‐]
h 3h 4
( ) 34
3 4
for <a
h hh h h
h hα
⎛ ⎞−= ⎜ ⎟
−⎝ ⎠
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111
rel shape
shape
D f
s f
eKe
−= −
−
(Steduto, 2009)
Plant water stress models: Ks (Drel )
lowupwpfc
fcrel qq
1D−−
−=
θθθθ
Relative Depletion (Drel
)
Wat
er S
tress
Coe
ffici
ent(
Ks)
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Experimental layout
SIAS weather station
Soil water content
125 m
Sap Flow
Farm “Tenuta Rocchetta”
Lat. 37 °38’
36,8”
Long. 12° 50’
49,8”
Extension: 30 Ha
Crop: Table Olives
8 x 5 m (250 plant/Ha)
Fraction coverage: 0.35
Soil: Clay-Loam (USDA)
Irrigation: drip with four 8 l/h emitters/plant
Experiments: 2008 and 2009
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Soil water retention curve
10
100
1000
10000
100000
0 0.1 0.2 0.3 0.4 0.5 0.6
θ [cm3 cm−3]
-h [c
m]
z=0
z=30
z=60
z=100
average
van Genuchten parameters θr θs α n m Z
[cm] ρb
[Mg m-3] [cm3 cm-3] [cm3 cm-3] [cm-1] [-] [-]
0 1.36 0.05 0.39 0.008 1.32 0.2430 1.31 0.05 0.56 0.0147 1.19 0.1660 1.38 0.06 0.39 0.0138 1.23 0.18
100 1.61 0.06 0.36 0.0223 1.18 0.15
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Soil water content measurements
Diviner 2000 (Sentek )
FDR (Frequency Domain Reflectometry)
TDR (Time Domain Reflectometry)
Tektronics 1502C
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Calibration of FDR sensorSite-specific equation calibration
Soil
wat
er c
onte
nt
[%]
θ = 38.225 SF 3.4918
R2 = 0.92RMSE: 3.4 [% vol.]
0
5
10
15
20
25
30
35
40
45
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0Scaled Frequency [‐]
Curva calibrazione delcostruttore
Punti sperimentali
Manufacturer equation
Experimental data
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Root spatial distribution
0.0 0.5 1.0 1.5 2.0 2.5
20
35
50
65
80
95
110
Prof
ondi
tà [c
m]
RLD [cm cm-3]
PROFILO 0°
d)
0.0 0.5 1.0 1.5 2.0 2.5RLD [cm cm-3]
PROFILO 45°e)
0.0 0.5 1.0 1.5 2.0 2.5RLD [cm cm-3]
PROFILO 90°f)
0.0 0.5 1.0 1.5 2.0 2.5
20
35
50
65
80
95
110
Prof
ondi
tà [c
m]
RLD [cm cm-3]
PROFILO 0°
d)
0.0 0.5 1.0 1.5 2.0 2.5RLD [cm cm-3]
PROFILO 45°e)
0.0 0.5 1.0 1.5 2.0 2.5RLD [cm cm-3]
PROFILO 90°f)
Root Length Density (RLD) distribution along three alignments
Dep
th (c
m)
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Leaf Water Potential and Sap FlowTurner & Jarvis (1982)
Predawn LWP, ψpdMidday LWP, ψmdMidday SWP, ψmst
Scholander Chamber
Thermal Dissipation Probe
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Potential Transpiration
,min
p
ap
a c
a
C VPDR
rT
r rr
ρ
λ γ
Δ +=
⎡ ⎤+⎛ ⎞Δ +⎢ ⎥⎜ ⎟
⎢ ⎥⎝ ⎠⎣ ⎦
(Jarvis and McNaughton, 1986)
rc,min =75 s m-1
( )( )
*
,mina c a
c aa
c ap
r e er r
r R T Tc
γρ
−= −
⎡ ⎤− −⎢ ⎥
⎢ ⎥⎣ ⎦
(Berni
et al., 2009)
For constantly irrigated plants rc
=rc,min
Δ[kPa
C-1]= slope of the saturation vapor pressure curveR [W m-2]= incoming radiation, ρ [Kg m-3]= air density, Cp [J Kg-1
K-1]= air specific heat, γ [KPa
K-1]= psychometric constant, VPD [KPa]= air vapor pressure deficit, λ [J Kg-1]= latent heat of vaporization, ra and rc,min [s m-1]: aerodynamic and the minimum canopy
resistance, respectively.
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Results: Transpiration vs leaf water potentials
A decreasing trend of actual transpiration is evident at increasing absolute values of leaf or stem potentials
T a = ‐0.067ψ pd + 2.3218
R2 = 0.84
T a = ‐0.0923ψ md + 4.5138
R2 = 0.88
T a = ‐0.0689ψ mst + 3.5936
R2 = 0.81
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0
0 5 10 15 20 25 30 35 40ψ pd ,ψ md and ψ mst [bar]
T a [mm d‐1]
Midday stem water potentialMidday leaf water potentialPre‐dawn leaf water potential
Act
ual T
rans
pira
tion
[mm
d-1
]
Leaf/Stem water Potentials [bar]
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0.0
0.5
1.0
1.5
2.0
2.5
5 10 15 20 25 30 35 40 45θ [% vol.]
T a [mm d‐1]
1
10
100
1000
10000
100000
h [cm]
θ
[%]Ta
[m
m d
-1]
h [c
m]
0.0
0.5
1.0
1.5
2.0
2.5
5 10 15 20 25 30 35 40 45
θ [% vol.]
T a [mm d‐1]
1
10
100
1000
10000
100000
h [cm]
Ta [
mm
d-1
]
θ
[%]h
[cm
]
Plant-Soil water relationships and definition of critical thresholds
FDR 10-120 cm FDR + TDR 45-65 cm
The values of actual transpiration are practically constant for soil water contents higher than a threshold value θ* and drastically decrease, till a minimum value, for lower soil water contents.
θ* θ*
h* h*
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0
3
5
8
10
13
15
18
20
23
25
5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45
θ [% vol.]
ψpd [bar]
ψpd
[bar
]
θ
[%]10
15
20
25
30
35
40
5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45
θ [% vol.]
ψmd [bar]
10
15
20
25
30
35
40
5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45θ [% vol.]
ψmst [bar]
Plant-Soil water relationships and definition of critical thresholds
θ*
Despite the difficulty to identify an unambiguous value of the critical SWC, θ∗≈16% (h ≈
40 m) previously obtained, can be considered acceptable. The observed uncertainty could be due to xilematic potentials adjustment occurring when the plant is kept under soil water deficit for long time periods.
θmin
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Modeling olive response to soil water deficit
Non linear models give a comparable results. Non-linear water stress models better reproduced the initial phase of the transpiration reduction process.Convex shape in the initial phase evidences that reductions of Ta become critical only for extreme water stress conditions.
Unfortunately, the absence of Ta/Tp measurements lower than 0.6, does not permit to clearly choose the best shape describing the olive response to the highest water stress.
Rel
ativ
e Tr
ansp
irato
n, T
a/Tp
[-]
h [m]
h [m]
0.00.10.20.30.40.50.60.70.80.91.01.1
0 20 40 60 80 100 120 140 160 180 200 220 240h [m]
T a/Tp [‐]
( ) 4
3 4
ih hh
h hα
−=
−
0 20 40 60 80 100 120 140 160 180 200 220 240h [m]
( ) 4
3 4
a
ih hh
h hα
⎛ ⎞−= ⎜ ⎟
−⎝ ⎠
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
0 20 40 60 80 100 120 140 160 180 200 220 240h [m]
T a/Tp [‐]
( )
5 0
1
1p
i
hh
h
α =⎡ ⎤⎛ ⎞⎢ ⎥+ ⎜ ⎟⎢ ⎥⎝ ⎠⎣ ⎦
0 20 40 60 80 100 120 140 160 180 200 220 240h [m]
( )( )( )
*
*50
1
1
p
i
hh h
h h
α =⎡ ⎤−⎢ ⎥+⎢ ⎥−⎣ ⎦
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
0 20 40 60 80 100 120 140 160 180 200 220 240h [m]
T a/Tp [‐]
( )( ) ( )
( )*
0*
0 max
1
11
p
i
hh h
h h
αα
α
=⎡ ⎤−−⎢ ⎥+⎢ ⎥−⎣ ⎦
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111
rel shape
shape
D f
s f
eKe
−= −
−(Steduto, 2009)
Modeling olive response to soil water deficit
0.00.10.20.30.40.50.60.70.80.91.0
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0D rel [-]
Ks
(pre
daw
n L
WP)
f s : 2.89r : 0.90
RMSE: 0.14
a)
00.10.20.30.40.50.60.70.80.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1D rel [-]
Ks
(mid
day
SWP)
f s : 1.41r : 0.86
RMSE: 0.15
b)
Even in this case the stress function shape is convex (fshape
>0)
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Conclusions
•Critical threshold, θ*, resulted approximately 16% and the corresponding
soil matric potential equal to 40m.
•The highest stress was detected for θ=11% and h=200 m.
•With exception for Feddes linear, all the other investigated models showed
a good agreement with experimental data.
•Non-linear models better reproduced the initial phase of the transpiration
reduction process, showing a convex shape typical of xerophyte, for which
the reductions of actual transpiration is critical only for extreme water
stress conditions.
•Future work should allow to investigate on values of Ta/Tp <0.6.
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Thank you!