This session will explore the powdery mildew life cycle, assessing why this season was so challenging for mildew. Current research on resistance tracking and why some chemistries and programs are more susceptible to failure will be presented. The seminar will discuss tools for managing resistance build up, new chemistries available, how to eradicate mildew, and the chemistries that most successfully resist the disease.
12. Logo
here
Types of Resistance
Qualitative or sudden
Ex) FRAC 11
Quantitative or
gradual/rate dependent
Ex)FRAC 3
Control No Control Control
Moderate
Control
No Control
14. Logo
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RiskofResistance
Low Risk Medium
Risk
High Risk
sulfur,
oils,
potassium,
bicarbonates,
materials of
biological origin
metrafenone,
fenhexamid,
quinoxyfen,
DMIs:
fenarimol,
myclobutanil,
difenconazole,
tebuconazole
cyflufenamid
QoIs:
azoxystrobin,
pyraclostrobin,
kresoxim-methyl,
trifloxystrobin
SDHIs:
boscalid, fluopyram,
benzovindiflupyr,
Isofetamid
High risk products are not bad; poor fungicide stewardship is
Control No
Control
Control
Moderate
Control
No
Control
15. Logo
here
Fungicide Mode of Action
FRAC 7, 11
Respiration
•SDHI
•QoI
FRAC 9
Protein synthesis
•Benomyl
•Thiophanates
FRAC 19
Cell wall
•Polymyxin D
FRAC 2, 12, 13
Signal
Transduction
•Dicarboximides
•Phenyl Pyrroles
•Quinoxyfen
FRAC 3, 5, 17
Cell membrane synthesis
•DMI
•SBI
•Amines
FRAC M# Multisite
•Copper (01)
•Sulfur (02)
•Mancozeb (03)
•Captan (04)
FRAC 4,8, 31, 32
Nucleic Acid
•None for GPM or
Botrytis
FRAC 1
Microtubules
•Benomyl
•Thiophanates
Adapted from Latin,
Richard. 2011. A
Practical Guide to
Turfgrass Fungicides
FRAC 50
Actin, Myosin,
Fimbrin function
•Aryl-phenyl-
ketones
16. Logo
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Fungicide Mode of Action
FRAC 11
Respiration
•QoI
Adapted from
Latin,
Richard. 2011. A
Practical Guide to
Turfgrass
Fungicides
Preventative
activity only:
- Stops spore
germination
- Inhibits growth
and leaf
penetration
Quinone outside
Inhibitors or
Strobilurins
-
Bind to the
cytochrome b
complex in the
mitochondria
17. Logo
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Detecting fungicide resistance
• Isolate collection
• Single spore isolation
• Bioassays
• Expensive in
resources and time
(results can take
more than a month)
0
10
20
30
40
50
60
70
80
90
100
0 0.5 1 1.5 2
Germination(%)
Trifloxystrobin concentration
(mg/ml)
Conidia Germination on
Flint Amended Water Agar
Qualitative or sudden
Control No Control
18. Logo
here
Competitive TaqMan qPCR
!G143A mutation is the only
mutation found in grape
powdery mildew
!G143A mutation shown to
be in 100% agreement with
QoI resistance bioassays
• Sensitive to a single spore
• Can detect alleles when
>10% of population with
qPCR
Tim Miles, et.
al. 2020
19. Logo
here
ToughSpot Samples
OREGON STATE UNIVERSITY 19
Detection limit – one conidiospore (80% of the time)
-------------------------------------------------------------------
2016-18 Cooperator Collections
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Workers manipulate the
canopy throughout
season
Question:
Can swabbing worker
gloves can be a viable
way to collect information
on the disease quickly
and inexpensively in the
field?
Photo: Heather Daenitz
23. Glove Swabs vs. Leaf Swabs
0 0 0 0 0 09 45
15
Glove Swab Leaf SwabSampling Path
Number indicates PM colonies/30 leaves
0
0 0 0 0 0
1 1
81
00000000 4 1
Fill color indicates Resistant, Susceptible, Mixed, or not detected
24. Logo
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Glove Swab vs. Leaf Swab
E. necator
Glove
Detect
No Glove
Detect
Visual Detect 90 3
No Visual
Detect
156 60
Fisher’s Exact test, p-value: <0.001
16 WillametteValley and 5 WA vineyard blocks sampled
throughout 2019 season.
Results from aggregated row samples vs. its paired glove sample
97% Sensitivity*
49% Accuracy*
*assuming visual detection
correctly represents real life
Oobi.fandom.com/wiki/oobi
?
25. Logo
here
Glove Swab vs. Leaf Swab
E. necator
Glove
Detect
No Glove
Detect
Visual Detect 90 3
No Visual
Detect
156 60
Fisher’s Exact test, p-value: <0.001
16 WillametteValley and 5 WA vineyard blocks sampled
throughout 2019 season.
Results from aggregated row samples vs. its paired glove sample
97% Sensitivity*
49% Accuracy*
*assuming visual detection
correctly represents real life
26. Logo
here
Glove Swab vs. Leaf Swab
88% Sensitivity*
96% Accuracy*
*assuming visual
detection correctly
represents real life
G143A
Glove
Detect
Resistant
Glove
Detect
Susceptible
Visual Detect
Resistant
32 9
Visual Detect
Susceptible
2 47
Fisher’s Exact Test, p-value: <0.001
16 WillametteValley and 5 WA vineyard blocks sampled
throughout 2019 season.
Results from aggregated row samples vs. its paired glove sample
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Does the glove material matter?
Glove SwabSampling Path
The same three rows were tested in multiple vineyards
for each glove material
Fill color indicates Resistant, Susceptible, Mixed, or not detected
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Does the glove material matter?
No significant difference between glove materials (glm)
Only differences came from location (glm, p<0.001)
Nylon gloves excluded from later trials due to water absorption
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Airborne Impaction Spore Traps
When used as a decision aid for timing
fungicide applications it can
- help determine when to initiate sprays at
the beginning of the season
- monitor success of program
- can detect if resistance is present
Currently commercially available
30. Logo
here
• Airborne inoculum
spore traps
• 12 vineyards sampled
2019
• Sampled 1-4 times
between May and
August 2019
Glove Swabs vs. Spore Traps
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here
Glove Swabs vs. Spore Traps
Glove Swab Spore TrapSampling Path
First, let’s compare the spore traps to each swab individually
Fill color indicates Resistant, Susceptible, Mixed, or not detected
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Glove Swab vs. Spore Traps
E. necator
Glove
Detect
No Glove
Detect
Trap Detect 75 21
No Trap
Detect
12 3
Fisher’s Exact test, p-value: 1
Compare spore trap to ANY of the glove swabs collected from
block
78% Sensitivity*
70% Accuracy*
*assuming visual detection
correctly represents real life
We can’t say these are different
33. Logo
here
Glove Swab vs. Spore Traps
Compare spore trap to ANY of the glove swabs collected from
block
G143A
Glove
Detect
Resistant
Glove
Detect
Susceptible
Trap Detect
Resistant
24 24
Trap Detect
Susceptible
5 22
Fisher’s Exact Test, p-value: 0.013
50% Sensitivity*
61% Accuracy*
*assuming visual detection
correctly represents real life
All G143A disagreement (39%) from one Susceptible and one mixed sample
34. Logo
here
Glove Swabs vs. Spore Traps
Glove Swab Spore TrapSampling Path
Now aggregate all glove samples per block
Fill color indicates Resistant, Susceptible, Mixed, or not detected
35. Logo
here
Glove Swab vs. Spore Traps
E. necator
Glove
Detect
No
Glove
Detect
Trap
Detect
26 1
No Trap
Detect
4 0
Fisher’s Exact test, p-value: 1
Compare spore trap to AGGREGATE of all the glove
swabs collected from block
96% Sensitivity*
84% Accuracy*
*assuming visual detection
correctly represents real life
We can’t say these are different
36. Logo
here
Glove Swab vs. Spore Traps
Compare spore trap to AGGREGATE of all the glove swabs
collected from block
81% Sensitivity*
77% Accuracy*
*assuming visual detection
correctly represents real
life
G143A
Glove Detect
Resistant
Glove
Detect
Susceptible
Trap Detect
Resistant
13 3
Trap Detect
Susceptible
3 7
Fisher’s Exact Test, p-value: 0.015
All G143A disagreement (23%) from one susceptible and one mixed sample
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The decision tree can be found at
framenetworks. wsu.edu
Take home messages
- We can use G143A to detect
potential QoI resistance before field
failure may occur
- A variety of monitoring methods can
be used to effectively monitor GPM
in the field for resistance or disease
in general
56. Anti-resistance strategies
“Following the Rules” in Fungicide Stewardship
Rotate and/or tank mix fungicides of different
modes of action. Prepackaged mixes can also be
useful.
Use labeled rates
Limit total number of applications of any 1 group
Educate yourself.
Start a fungicide program with multi-site mode of
action materials
57. Resistance Management
• Rotate
A B A B A B
• OK, if both can be on 2 weeks intervals
• What if A is sulfur?
S B S B S B S
Do not ever go to 3 week intervals!
58. Resistance Management
• Tank Mix
A+B A+B A+B A+B A+B A+B
• OK, if both can be on 2 weeks intervals
• What if A is sulfur and resistance to B?
S S S S S S
62. Material and
rate per A
Leaf
Severity (%)
Cluster
Severity (%)
Non-treated 68.0 100
Microthiol 5 lb 3.4* 89.0*
Leaf Incidence
Non-treated 50 a 97 a
Microthiol 5 lb 13 c 22 c
63. Material and
rate per A
Leaf
Severity (%)
Cluster
Severity (%)
Non-treated 68.0 100
Microthiol 5 lb 3.4* 89.0*
Started 27 May 19
Leaf Incidence
Non-treated 50 a 97 a
Microthiol 5 lb 13 c 22 c
Started 16 May 19
64. Material and
rate per A
Leaf
Severity (%)
Cluster
Severity (%)
Non-treated 68.0 100
Microthiol 5 lb 3.4* 89.0*
Started 27 May 19
Leaf Incidence
Non-treated 50 a 97 a
Microthiol 5 lb 13 c 22 c
Started 16 May 19
Powdery Mildew First Observed 13 May 19
68. Material Rate per 10
gal water
CFU’s after
7 days (%)
Actinovate 1.3 oz 100
Neptune’s Harvest 10 oz 6
Regalia 3.2 fl oz 59
12.8 fl oz 0
Nitrozyme 10 oz 219
Stimplex 4.8 oz 482
9.6 oz 40
72. P. clandestina resistance to FRAC19
(polyoxin-D)
• A total of 19 isolates from Oregon and Washington cherry orchards
• Leaf-disc bioassay experiment showed 14 of 19 isolates developed
resistance to FRAC Group 19, that include two isolates in Oregon
• A molecular target, chitin synthase is being analyzed to determine MoA
+
+
-
-
*
*
*
* *
*
*
* *
*
*
*
*
*
*
* *
*
+, positive control; -, negative control; *, resistant colonies
OR-1 isolate
73.
74. Powdery Mildew Management
Plan for 2020
!Review what happened in 2019
!Fungicide selection based on historical
use.
!Timely vine management – canopy
system, leaf pulling, sucker control, …
!Hot spot monitoring – weather, vine
growth, scouting for disease
75. Powdery Mildew Management
Plan for 2020
!Short intervals during (and shortly
after) bloom with best products
!Adjust interval to hit 10% bloom
!Sulfur and/or alternative products
should have multiple applications
during bloom.
77. Foliar Pathology Lab 2020
Walt Mahaffee, Carly Allen, Jacob Corcoran, Hannah Soukup and Tara Neill: USDA-ARS
Chelsea Newbold, Alex Wong - Grad Students
Jessy Brown, Kale’a Galbreth, Iris Garber, Danielle Scutero - Undergrads
Amy Peetz
Funding
USDA-ARS, Washington Wine Commission,
Oregon Wine Board, American
Vineyard Foundation, Erath Family Foundation
Northwest Center for Small Fruit Research,
USDA-NIFA-SCRI, National Grape Research Alliance
Rob Stoll, Nate Miller
Kam Leang and Eric Pardyjak
Cynthia Schwartz,
Chad Higgins
Michelle Moyer
Jason Kelley
Tim MIles
Monica Copper, Mark
Battany, Larry Bettiga, Glenn
McGourty
Brian Bailey,
Ioannis Stergiopoulos
José Úrbez-Torres,
Shunping Ding
Grower Collaborators
Questions?