tree fruit ipm · pesticide resistance • export regulations ... so what are the drivers for tree...
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World Class. Face to Face. Tree Fruit IPM: Drivers and Passengers
Elizabeth H. Beers Tree Fruit Research & Extension Center 1100 N. Western Ave. Wenatchee, Washington
Hort 421/521 5 April 2012 Pullman, WA
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What are the drivers?
• Key pests • Pesticide Resistance • Export regulations (phytosanitary, MRLs) • State/federal regulations (EPA, FDA, WSDA) • Cost of production/value of crop • IPM is dynamic
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Barriers to IPM implementation
Gallardo et al 2009. Production cost of
‘Gala’ apples. FS005E
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What is IPM?
…is the intelligent selection and use of pest-control actions that will ensure favorable economic, ecological, and sociological consequences”
A key point:
The most stable systems are those that require the fewest number of interventions
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• site-specific • multi-tactic • information-based • a decision making process • profitable for the grower • promotes human health • promotes a quality environment
Integrated pest management (IPM) is:
Integrated Pest Management of Tree Fruits in Washington
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Strategies to manage pests Eradication - elimination of pests Containment - prevent infestations Suppression - reduce densities*
*IPM generally uses the strategy of suppression - reduction of pest densities to acceptable levels by use of multiple tactics.
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Elements of a stable IPM structure
IPM
Sampling Biology Taxonomy Ecology
Models Thresholds
BIOLOGICAL
CHEMICAL
BEHAVIORAL
CULTURAL
GENETICS
TACTICS
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A Poor Foundation leads to an unstable IPM structure
CHEMICAL
BEHAVIORAL
CULTURAL
TACTICS
Taxonomy Ecology Models Thresholds
FOUNDATION
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An unstable IPM structure depends on ONE Tactic
Sampling Biology Taxonomy Ecology
Models Thresholds
CHEMICAL
TACTICS
FOUNDATION
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Regulatory Factors influencing adoption of IPM: Food Quality Protection Act of 1996 (FQPA)
o Aggregate exposure of pesticides, from all uses including home and water
o Pesticides with common mode-of-action only one risk cup
o Up to a 10x safety factor for food in diets of infants and children
o Endocrine disruption considered in risk
dietary + non
dietary
Pesticides A B C D E F
Crowded
Smaller cup
Less room
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Agricultural concerns were: • Traditional chemical controls would be banned • Registration of new chemistries would be slow
• New chemistries would cost more • There would more restrictions on re-entry and pre-harvest
intervals
Factors influencing adoption of IPM
Reality has been: • Lost many traditional pesticides, especially OP insecticides
• Label restrictions placed on many others pesticides • Many new alternatives registered
• New products do cost more on a per acre basis.
Regulatory factors: Food Quality Protection Act of 1996 (FQPA)
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EPA announced in 2007 the phase out of azinphosmethyl after the
2012 season on all crops. Schedule is shown in the table.
The phase-out decision was based primarily on worker
safety.
Factors influencing adoption of IPM
Other OP insecticides will be restricted of phased out due to concerns over water quality tied to endangered species. For example, EPA is responding to
a law suite to establish large buffers for 34 pesticides used in agriculture, some of which are important in tree fruit production.
Post FQPA regulatory actions are focusing on worker and environmental safety
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Biological Factors Resistance development:
• Resistance development in “key” pests, e.g. codling moth.
• Disruption of biological controls due to use of “harder” pesticides for control of secondary
pests
• Secondary pests require additional insecticides for their control
Factors influencing adoption of IPM
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Factors influencing adoption of IPM
Social factors • Consumer concerns about food safety and
pesticide residues
• Public concern over environmental contamination with pesticides
• Health concerns of farm workers exposed to pesticides
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Key pest: a pest which, if uncontrolled, has the potential annually to destroy the crop; most of the control efforts are directed against this pest.
Secondary pest: Present sporadically in time and space; can be direct or indirect.
Direct pest: a pest that feeds on the crop; in the case of apple and pear, feeds directly on the fruit or directly affects the quality of the fruit (exception = pear psylla).
Indirect pest: a pest that feeds on any part but the saleable part (=fruit) and reduces the crop by limiting photosynthesis or removing plant nutrients, thus affecting the crop.
Induced pest: a pest that would not occur in high numbers in an unsprayed orchard
IPM Terminology
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Key Pests of tree fruit crops in Washington
• Codling moth (apple)
• Pear psylla (pear)
• Cherry fruit fly (cherry)
• Oriental fruit moth (peach)
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Invasive Pests become Key Pests
• Spotted wing drosophila invaded North America in 2009
• Direct (internal) pest of cherries (and berries); other stone fruits questionable
• Quarantined by 2 important trading partners
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MRLs – the new reality
Export Country
fenpropathrin
spinetoram
malathion
zeta cyperm
ehtrin
spinosas
lambda-cyhalothrin
MR
L re
lativ
e to
US
(x-fo
ld h
ighe
r/low
er)
0
10100200300400500
Canada Japan S. Korea Taiwan EU Austrailia
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Secondary Pests of tree fruit crops in Washington
• Aphids • Mites • Sucking bugs • Scales • Thrips • Campylomma • Leafhopper • Leafminer
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Foundation of IPM
IPM
Sampling Biology Taxonomy Ecology
Models Thresholds
BIOLOGICAL
CHEMICAL
BEHAVIORAL
CULTURAL
GENETICS
TACTICS
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Models used in IPM • Phenology models Used to predict when critical events occur
• Based on heat unit accumulations (Degree-Days) • Insects and mites are cold-blooded, so developmental rate is
proportional to the ambient temperature Heat units are called physiological time
• The amount of heat required to complete a given stage of the life cycle is constant
• Demographic models (less common) Used to predict the effects of changes in mortality and
reproduction on population growth
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Why use Phenology Models?
• Allows you to predict the timing of a difficult event that is critical to IPM by monitoring the accumulation of heat units (physiological time) from an easy to detect event
• Allows the comparison of how best to time pest control actions against multiple pests
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Definitions • Upper Threshold Temperature at which no development occurs because of heat
deactivation • Lower Threshold Temperature where no development occurs because of cold
deactivation • Degree-Day (= heat unit) The amount of heat accumulated when the temperature is 1° above
the lower threshold for a period of 1 day. • Biofix Some easily observed event which can be used to synchronize the model
to field populations
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Beginning of egg hatch
Apply treatment
to protect fruit
Example: Codling Moth Phenology Model
Know time from adult flight to egg hatch = 250 degree days
Easy to
monitor adults
Impossible to find eggs
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Model Accuracy II (Beers & Brunner, 1992) • How does the model compare to spraying 21 days after full bloom of ‘Delicious’?
-5
0
5
10
15
20
79 80 81 82 83 84 85 86 87 93
Model Calendar
No.
Day
s B
etw
een
Obs
erve
d an
d P
redi
cted
Lar
val E
ntry
into
the
Frui
t
Year
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When are models less useful? • When life stage isn’t critical for timing • When critical stage of pest is easy to see or tied to
tree phenology/fruit development • When pest has many, overlapping generations
J F M A M J J A S O N D
Generations of woolly apple aphid in Iraq, redrawn
from Bodenheimer et al., 1947
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Models
• What models DO: Predict correct time to spray
• What model DON’T do: Predict need to spray
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Foundation of IPM
IPM
Sampling Biology Taxonomy Ecology
Models Thresholds
BIOLOGICAL
CHEMICAL
BEHAVIORAL
CULTURAL
GENETICS
TACTICS
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Sampling - the information on which IPM decisions are based
Sampling: (Southwood Chapters 1 & 2) Sample used to make inference about pest
presence (qualitative) or density (quantitative) for decision making
Absolute estimates •Mark-recapture •Foliage sampling •Emergence trap •Whole plant extraction
Relative estimates •Pheromone trap
•Pitfall trap •Beating tray •Sweep net
Indices •Frass
•Cast skins •Nests
•Feeding sites
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Considerations associated with Sampling: Method/unit - what type is appropriate for pest
and stage to be monitored Size - the number of units necessary to make an
appropriate management decisions Precision - the repeatability of sample, the estimate of error risk associated with estimate Timing - when the sample should be taken to
reach an appropriate decision
Sampling - the information on which IPM decisions are based
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Sampling - the information on which IPM decisions are based
Samples • When to take them - time (models)
• How many to take - efficiency • Where to take them - spatial component
0 2 4 6 8
10 12 14 16
Popu
latio
n D
ensi
ty
Time 1 2 3 4 5 6
What is the best sample estimate?
Time 2 = 5 bugs
Time 3 = 13 bugs
Time 5 = 1 bug
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Uniform Random Clumped
Increased sample size for same level of precision
Sampling - the information on which IPM decisions are based
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Foundation of IPM
IPM
Sampling Biology Taxonomy Ecology
Models Thresholds
BIOLOGICAL
CHEMICAL
BEHAVIORAL
CULTURAL
GENETICS
TACTICS
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Action threshold: the density of a pest that stimulates a management action.
Economic injury level: the density of a pest that will
cause crop loss equal to the cost of using a control tactic.
A complex concept that involves many factors, market value of crop, time when injury occurs, weather, etc.
Thresholds - Actions based on results of sampling populations
Time # -
--->
AT
EIL Crop loss occurs
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IPM Tactics
IPM
Sampling Biology Taxonomy Ecology
Models Thresholds
BIOLOGICAL
CHEMICAL
BEHAVIORAL
CULTURAL
GENETICS
TACTICS
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Sex Pheromones and Mating Disruption • Sex pheromones are typically emitted by females
to attract males Allows mating to occur over a large area
• Populations do not have to be extremely high to ensure mating can occur
Some pheromones are attractive >1 mile • Mating disruption is the use of large amounts of
synthetic sex pheromone of a pest to interfere with normal mating process
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Differences in MD and Conventional
• Doesn’t act like a pesticide A low dose of pesticides will kill a certain amount
of pests • No mortality associated with MD Acts by reducing the growth rate of the population
• If the pheromones are put on after moths have emerged, MD will not work
• If too low a rate of dispensers are used, MD will not work
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Benefits of Mating Disruption • No worker safety problems • No salmon and groundwater concerns • Species-specific -- only affects one pest, not
natural enemies Increased BC for secondary pests
• Approved for organic production • Can be used to reduce the problem of
insecticide resistance • Conserves pesticides for times & situations
when they are really needed
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Normal Mate Finding
male
female
Pheromone plume
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How Mating Disruption Acts (in theory)
• Pheromone communication is disrupted or corrupted Sensory habituation False trials Masking Unbalanced sensory input
• knowing mechanisms is critical so that we can understand successes and prevent failures
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Additional Mechanisms?
• The behavioral mechanisms are important, but not necessarily predictive or the only ones !
• Population biology gives us some answers No different in % mating between MD and non-MD areas
doesn’t mean that mating occurs at the same time Mate finding will be more difficult because of the behavioral
mechanisms Mating is delayed, not prevented
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Effect of Delayed Mating on OBLR
0
20
40
60
80
100
0 2 4 6 8 10 12 14 16
0 Day2 Day4 Day6 Day
Cum
ulat
ive
Num
ber o
f Fer
tile
Fem
ale
Eggs
Lai
d
Day of Female Life
31%
61%
90%
40%
79%
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Location & Shape of Orchard
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Hand-applied dispensers remain the
most reliable technology available.
Reducing point sources per acre increases risk
of fruit injury or requires more supplemental
insecticides to achieve desired levels of
control.
Percent Fruit injury
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
CTT 50
CTT 100
CTT 200
C - plus 400
Check Mate
NoMate
Isomate C-plus
Isomate CTT
Density of point sources impacts efficacy
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Implemented mating disruption on an areawide basis as PART of an integrated management program - Cooperation !!!
Howard Flat CAMP site - Chelan, WA 1200 acres 36 growers
4 warehouses 16 crop consultants
Lessons from CAMP (Codling moth Areawide Management Project)
Areawide use of Pheromones - added value
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Results of areawide control project
0
5
10
15 20
25
30
35
1994 1995 1996 1997 1998 1999
Ave. moth capture per trap per year
Howard Flat, WA
Ave. percent traps capturing moths
0 10 20 30 40 50 60 70 80 90
100
1994 1995 1996 1997 1998 1999
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
1994 1995 1996 1997 1998 1999
Ave. percent codling moth damage
0.0
0.5
1.0
1.5
2.0
2.5
3.0
1994 1995 1996 1997 1998 1999
Ave. codling moth insecticides appl./acre
Howard Flat, WA
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Gradually changed the program as pest pressures declined: reduced pheromone rates and supplemental controls.
1995 0.55%
0.20%
0.01%
Lessons from CAMP --> Results
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IPM Tactics
IPM
Sampling Biology Taxonomy Ecology
Models Thresholds
BIOLOGICAL
CHEMICAL
BEHAVIORAL
CULTURAL
GENETICS
TACTICS
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Predators - insects that consume large numbers of prey per individual over its lifecycle, usually will feed on many
kinds of insects.
Parasites - insects that produce one or a few offspring from one host, usually have a close association between the
host and parasite.
Pathogen - organism that infects the host, such as fungus, virus or bacteria, that kills or debilitates the host.
Nematodes - worm-like organisms that seek out or ambush hosts, penetrate hosts and multiply, eventually killing or
sterilizing the host.
IPM Tactics: Biological control
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• Spider mites in late 50s and early 60s caused high levels of damage to apple, even with repeated miticide applications.
• Dr. Stan Hoyt, WSU-TFREC, observed a predatory mite attacking spider mites in certain orchards.
• Discovery that Typhlodromus occidentalis survived selective rates of certain OP insecticides, Guthion and Imidan.
• Integrated Mite Management: uses biological control of spider mites and chemical control of codling moth.
• Stable system, only about 10% of apple orchards treated for spider mite suppression annually, many orchards have NOT
been treated for 35 years.
Biological Control in Washington Orchards
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Biological control of Leafminer
• Leafminer became pest in 1980s; resistance suspected
• Parasite, Pnigalio flavipes, identified as primary natural enemy in WA orchards
• P. flavipes preys (host-feeding) and reproduces on WTLM
• P. flavipes tolerates certain OP insecticides, e.g. Guthion and Imidan BUT is susceptible to
Lorsban and Penncap-M
• For the last decade leafminer has been controlled biologically in Washington
orchards.
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C. florus, an ectoparasite of
leafroller larvae
Leafroller Biological Control
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Habitat Management and Biological Control
Orchards
Colpoclypeus florus and host leafroller phenology in orchards versus roses
containing A. comptana
May June Aug Oct July Sep Apr
Host
Suitable
Host
Suitable
Pandemis flight C. florus
disperses to find
overwintering host
C. florus returns to orchards to attack pest leafroller
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Habitat Management and Biological Control
Natural occurring wild rose patch
Strawberry leafroller - Ancylis comptana
Alternate overwintering and summer host for C. florus
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Habitat Management and Biological Control
Orchards
Colpoclypeus florus and host leafroller phenology in orchards versus roses
containing A. comptana
May June Aug Oct July Sep Apr
Host
Suitable
Host
Suitable
Pandemis flight C. florus Enters
Diapause
Roses
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Habitat Management and Biological Control
Natural occurring wild rose patch
Rose-Strawberry Garden Plot
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IPM Tactics
IPM
Sampling Biology Taxonomy Ecology
Models Thresholds
BIOLOGICAL
CHEMICAL
BEHAVIORAL
CULTURAL
GENETICS
TACTICS
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Chemical Control - Insecticides Classes of Insecticides
Chlorinated hydrocarbons - DDT Organophosphate - Guthion Carbamate - Sevin Pyrethroids - Pounce, Warrior Inorganic - sulfur, kaloin Biologicals - botanicals, Bt, virus (pathogenic)
Neonicotinyl - Assail, Calypso Insect Growth Regulators
•Juvenile hormone mimics - Esteem •Chitin synthesis inhibitors - Rimon •Molting hormone agonists - Intrepid
Naturalyte - spinosad Others - emamectin benzoate, indoxacarb
Traditional Broad spectrum
Mammalian toxicity Contact toxicity
Newer Narrow spectrum
Low mammalian toxicity Act by Ingestion
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Ovicides - how do they work?
A majority of codling moth eggs are laid on the leaf upper surface near fruiting clusters, some on fruit - both generations.
Egg Leaf
There are two ways to affect eggs prior to hatch: Apply the product over the egg (topically), OR Apply the product to the surface before eggs are laid.
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Chemical Control - Insecticides
Insect Growth Regulators •Juvenile hormone mimics - Esteem
When introduced at wrong time in life cycle causes abnormal development - sterility.
•Chitin synthesis inhibitors - Rimon
When consumed these chemicals prevent normal development of the new insect skin - dehydration.
•Molting hormone agonists - Intrepid
When consumed these chemicals stimulate a pre-mature molt that is lethal - sterility.
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Chemical Control - Insecticides
Insect Growth Regulators •Juvenile hormone mimics - Esteem When introduced at wrong time in life cycle causes abnormal development -
sterility.
•Chitin synthesis inhibitors - Rimon When consumed these chemicals prevent
normal development of the new insect skin - dehydration.
•Molting hormone agonsits - Intrepid When consumed these chemicals stimulate
a pre-mature molt that is lethal - sterility.
Normal pupa
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Chemical Control - Insecticides
New Insecticides •Advantages
• Safe to humans (200 to >5000 times less toxic) • Less impact on environment
• Selective - narrow spectrum of activity • Reduced impact on biological control agents
• Increased negative impact on biological control agents • Resistance management
•Drawbacks
• Higher costs • Precise timing and coverage required
• Selective - need more knowledge • Slower acting
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Organic
Holistic but legalistic
A Perspective on Pest Management
Pest Management Continuum
Synthetic Pesticides
Conventional IPM Bio-based
IPM “Organic-ish”
Optimize pesticide use Conserve bio-agents
Minimize environmental effects
1950-1960s
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Organic
Holistic but legalistic
A Perspective on Pest Management
Pest Management Continuum
Synthetic Pesticides
Conventional IPM Bio-based
IPM “Organic-ish”
Optimize pesticide use Conserve bio-agents
Minimize environmental effects
1970s
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Organic
Holistic but legalistic
A Perspective on Pest Management
Pest Management Continuum
Synthetic Pesticides
Conventional IPM Bio-based
IPM “Organic-ish”
Optimize pesticide use Conserve bio-agents
Minimize environmental effects
1980-90s
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Organic
Holistic but legalistic
A Perspective on Pest Management
Pest Management Continuum
Synthetic Pesticides
Conventional IPM Bio-based
IPM “Organic-ish”
Optimize pesticide use Conserve bio-agents
Minimize environmental effects
1950-1960s 1970s 1980-90s
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Organic Fruit Production US in Washington
Percent of Organic Fruit Production WA (2008) Apple - 10%; Cherry - 6%; Pear - 10%
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It’s all in the Delivery….
OPM Online http://jenny.tfrec.wsu.edu/opm/
Reference for: • Biology • Identification • Life history • Biological control • Monitoring • Management
Revised ad hoc
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It’s all in the Delivery….
Crop Protection Guide Online
http://jenny.tfrec.wsu.edu/eb0419/
• Pesticide safety • Rules/regulations • Recommendations
Revised annually Research-based
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It’s all in the Delivery….
Decision Aid System http://das.wsu.edu/
Weather-driven phenology models (AgWeatherNet)
Pests and diseases News and updates
Updated daily