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Yield Loss Prediction Tool for Asian Soybean
Rust:
A Multi-Disciplinary Project
S. Kumudini, J. Board, C. Godoy, C. Lee,
D. Hershman, J. Omielan, and E. Prior
Outline
• Overview of yield loss prediction model
project (our approach to the challenge)
• Phase I: Brazilian study: verify
assumption about cause of yield reduction
• Phase II: KY and LA model development
- FL and KY quantification of role of SBR
lesions
• Phase III: FL model validation study
• Phase IV: Software development
• What’s next?
• What have we learned so far?
Challenge
Develop a yield loss prediction model
for soybean rust under U.S.
conditions
Project funded in Fall, 2005
Southern Region at Most Risk
Fig. 1. Probability of at least 15 consecutive days of suitable
conditions for P. pachyrhizi infection between July 1 and Sept 30.
Hatched areas indicate major or minor soybean production areas.
Source: R. Magarey, USDA/NCSU
Image Source: http://www.farmassist.com/soybeanrust/Navigation.aspx?nav=probability.html
November 8, 2006
Crop Physiology Perspective
combined with Plant Pathology
Integration of various
levels of organization
Temporal Changes and Disease
Yield
Yg = Yb X HI
Yb = (Q X Ia
X
ε) dt
Rust causes premature defoliation
Healthy Canopy
Rust causes premature defoliation
Infected Canopy
Yield
Yg = Yb X HI
Yb = (Q X Ia
X
ε) dt
Objectives
I.
Check assumption: Is SBR-induced
yield loss due to defoliation injury?
II.
Model building: Develop and validate
a model that can effectively predict
SBR-induced yield loss
Yb = (Q X Ia
X
ε) dt
Objective: Determine the role of defoliation injury
on SBR-induced yield loss
Embrapa Soja, Londrina, Brazil
Phase I. Role of Defoliation injury
in yield loss? Londrina, Brazil
Cultivar BRS 154 (MG VII)
Rows 45 cm (~18 inches)
Planted December 19, 2005
& December 11, 2006
February 4, 2006
First flower
Materials and Methods
• RCBD design, 6 replications
• Five treatments
1. SBR - R1
Materials and Methods
• RCBD design, 6 replications
• Five treatments
1. SBR - R1
2. Mimic “SBR” at R1
Materials and Methods
• RCBD design, 6 replications
• Five treatments
1. SBR - R1
2. Mimic “SBR” at R1
3. SBR - R5
Materials and Methods
• RCBD design, 6 reps
• Five treatments
1.
2.
3.
4.
SBR - R1
Mimic - R1
SBR - R5
Mimic - R5
Materials and Methods
• RCBD design, 6 reps
• Five treatments
1.
2.
3.
4.
5.
SBR - R1
Mimic - R1
SBR - R5
Mimic - R5
Control
Materials and Methods
• Measured Leaf Area Index
• Disease severity
• Yield
Results and Discussion
Disease severity over time in 2007
100
Control
SBR at R1
Mimic SBR at R1
SBR at R5
Mimic SBR at R5
Disease Severity (%)
90
80
70
60
50
40
30
20
R5
R1
10
0
40
50
60
70
80
Days After Planting (d)
90
100
Plants infected at R1, leaf area over
time in 2007
5
4.5
4
Leaf Area Index
3.5
3
2.5
R2 = 0.94
Control
2
SBR at R1
R2 = 0.99
Mimic SBR at R1
1.5
2
R = 0.99
1
R1
0.5
R5
0
45
55
65
75
Days After Planting (d)
85
95
Role of defoliation injury in yield
loss?
VS.
SBR-infected plot (SBR at R1)
Mimic SBR at R1
Fungicide treated, and manually
defoliated to mimic SBR- plots
Plants at R5
Role of defoliation injury in yield
loss?
VS.
SBR-infected plot (SBR at R1)
Mimic SBR at R1
Fungicide treated, and manually
defoliated to mimic SBR- plots
Plants around R6
Impact of SBR on yield in
2007
SBR
Manual defoliation
4000
3500
Yield (kg ha -1)
3000
2500
2000
1500
1000
500
0
SBR at R1
SBR at R5
Control
Relationship between LAD and yield in
2006 and 2007 combined
3500
3000
R2 = 0.542
Yield (kg/ha)
2500
2000
LAD
Linear (LAD)
1500
1000
500
0
0
20
40
60
80
100
LAD (LAI x Days)
120
140
160
Non-abscised SBR-infected leaf
Healthy leaf area index (HLAI)
HLAI = LAI minus % diseased leaf area
Relationship between healthy leaf area
duration and yield in 2006 and 2007
combined
3500
3000
2
R = 0.7043
Yield (kg/ha)
2500
2000
HLAD
Linear (HLAD)
1500
1000
500
0
0
20
40
60
80
100
HLAD (HLAI x Days)
120
140
160
Summary from Brazil
• SBR-induced yield loss was dependent
on plant growth stage
SBR
3500
3000
Yield (kg ha -1)
2500
2000
1500
1000
• Lesions on non-abscised leaves have an
important impact on yield
500
0
SBR at R1
SBR at R5
Control
120
100
2
R = 0.7492*
Yield (gm-2)
80
60
40
20
0
0
20
40
60
80
Healthy Leaf Area Duration (HLAI d)
100
120
Phase II. Model Development
• Must relate yield to HLAI
• Experiments conducted in Baton Rouge, LA (Louisiana
State University), and Lexington, KY (University of
Kentucky).
• Weekly defoliations (0%, 33%, 66%, 100%) after R5
• LSU, MGs IV and V, row width 38”
• UK, MGs III, and IV, row width 14”
33% HLAI
100% HLAI 66% HLAI
0% HLAI
Relative Yield Response to Defoliation (UK) in 2006
100
Asgrow 3905
% of Control Yield
80
66% HLAI
60
33% HLAI
0% HLAI
40
20
R6
R7
0
10
15
20
25
30
35
Days after R5
40
45
50
55
HLAD vs Yield for Asgrow 3905
6000
5000
Yield (kg/ha)
4000
Control
100% Defol.
3000
66% Defol.
33% Defol.
2000
1000
0
0
50
100
150
200
HLAD from 6 to 44 days after R5
250
300
Relative Yield Response to Defoliation (LSU) in 2006
100
Pioneer P95M80
% of Control Yield.
80
60
66% HLAI
33% HLAI
0% HLAI
40
20
R6
R7
0
5
10
15
20
25
30
Days after R5
35
40
45
50
55
HLAD vs Yield for Pioneer P95M80
5000
Yield (kg/ha)
4000
3000
Control
100% Defol.
66% Defol.
33% Defol.
2000
1000
0
0
50
100
150
HLAD from R5 to 42 Days After R5
200
250
What is the effect of necrotic
lesions on plant productivity?
Objective: Impact of SBR Lesions on
plant productivity
• 2006 Study in Quincy Florida (Univ.
of Florida)
– North Florida Research and Education Center
• Cultivar: DP 7220-RR
• Row width: 36”
• Fungicide: Headline SBR
Measurements
• Selected leaves that showed a variation in
disease severity
– 2nd or 3rd central trifoliolate from the top
• Growth stage R6
• Net photosynthetic rate
• % disease on leaflet
Results and Discussion
100% Full photosynthetic capacity
W10 100%
75% Full photosynthetic capacity
– 75%
% of healthy leaf (x9)
50% Full photosynthetic capacity
35% Full photosynthetic capacity
w300 = 35% of healthy leaf
3% Full photosynthetic capacity
X20 = 1% of healthy leaf
Impact of SBR lesions on
photosynthesis
1.4
Relative Photosynthetic Rate
1.2
1.0
0.8
y = 0.878e-0.1071x
R2 = 0.8023
0.6
0.4
0.2
0.0
0
5
10
15
Disease Severity (%)
20
25
How do we quantify the effect of
SBR lesions?
• Develop a Bastiaans coefficient (β). This
is a mathematical coefficient that reflects
the impact of lesions on photosynthetic
capacity.
• The β coefficient, when combined with
HLAD data can be used to calculate an
“effective leaf area duration” (ELAD)
Phase III: Validate the Model
• 2007 Study in Quincy, FL
– Split-split plot design
– Row widths (15” and 30”)
– Determinate and Indeterminate varieties
(MG V)
– Disease levels:
• Disease-free control (using Folicur)
• SBR starting at R5
• SBR starting at R6
Plots in early September
Plots in early October
Measurements
•
•
•
•
•
Plant phenology through season
LAI, LI, disease severity through season
Photosynthetic capacity at R6
Harvest Index
Combine seed yield
The people that make it
happen.
Phase IV: Software
Development
Project Web Site
What’s next ?
• Continue to develop a Bastiaans coefficient (β).
The β coefficient, when combined with HLAD
data can be used to calculate an “effective leaf
area duration” (ELAD)
• Analysis of 2007 data from KY, LA, and FL.
• Further trials in 2008 and development and
deployment of yield loss prediction tool.
What have we learned so far?
• Phase I. Verify role of defoliation injury
– Yield loss models must account for both defoliation injury
and rust lesions on non-abscised leaves
• Phase II. Model Development
– Yield is a function of healthy leaf area duration
– We expect that ELAD will give a more robust SBR yield
loss model since it will account for both defoliation injury
and rust lesions on non-abscised leaves
What have we learned so far?
• Phase III. Model Validation
– Still in process
• Phase IV. Software Development
– Visit our Project Website for updates
– http://www.uky.edu/Ag/Agronomy/Department/sbr/
Additional funding from:
and Southern Soybean Research Program