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Pest Management Tactics & Strategies
• Covers chapters 8 – 17 in text• Includes all major tactics categories:
– Biological control– Cultural control– Pesticides– Mechanical/Physical controls– Behavioral-based control methods– Regulatory-based concepts
• Also includes all factors necessary for choosing/deciding among controls– Monitoring methods– Decision tools
Pest Management Decision Categories
• Tactical vs Strategic• Preventative vs. Curative• In-Season vs. Intra-Season• Control vs. Non-control (i.e. monitoring)• Single Dimension vs. multidimensional
– Temporal: Single Period vs. Multiperiod– Biological: Single spp. (pest) vs. Multiple spp. (pests,
beneficials, other non-targets)– Economic: Immediate payback vs. multiple economic
considerations.
Who makes IPM Decisions?
• Growers who manage the pests?• Consultants who make recommendations to
growers?• Extension specialists who develop
educational/training materials?• Researchers who decide which topics to
research?• Administrators who decide which things to fund?• Others?
Pest Management Strategic Plans
• Driven by national programs• Closely associated with Crop Profiles and
Crop Timelines• Provide a framework for IPM decisions• No specific format, but most include:
– Pest profiles for each important pest– Management tactics currently used– Additional needs in research, extension,
training
Decisions about how IPM needs to advance in a particular cropping system. A planning tool.
Assignment
• Split into groups of 3• Each group finds a Pest Management Strategic
Plan• Distribute the web site for the plan over IPM-L by
Thursday, Feb. 19.• Each group discusses their plan in class on
Wed., Feb. 25• Suggestion: One person discusses the pests,
one discusses the tactics, one discusses the needs.
Most Decisions are Tactical & Follow a Procedure
1. Identify pest2. Determine pest population density3. Evaluate potential damage4. Review available control tactics5. Consider possible interactions with other
pests6. Evaluate legal/environmental issues7. Make a decision
The Decision Itself
• Must rely on a priori objective criteria. Often an economic framework.
• Four possibilitiesA. No action
B. Reduce Pest Population
C. Reduce Crop Sensitivity to Damage
D. B & C above
8. Follow-up to confirm expected outcome
An Alternative View to Fig. 8-1
Identification: Focuses on early seasonality factors
• Pathogens – Identification of conditions leading to disease often more important than identifying the pathogen itself.
• Weeds – Seedling identification is the main issue
• Arthropods – Knowing when immatures will be present often a key to identification of pest problems.
Monitoring
• Synonymous with “Scouting”, “Sampling”, “Pest Surveillance”
• Normally conducted to gather information needed by a decision tool
• Types of decision tools that using monitoring info include tools that:– Time preventative treatments– Determine whether curative controls are needed– Determine whether either of the above were effective– Select specific measures from several choices
Monitoring Determines:
• Crop Status (development stage, stand density, standing crop, etc.).
• Identity of pests• Phenology• Age distribution• Number or size of population
– Absolute (#/unit habitat or area)– Relative (#/unit effort)– Qualitative (Scaled from “low” to “high”)
Requirements of Monitoring Methods
• Simple to use
• Fast
• Inexpensive
• Applicable to a broad range of pests
• Reliable for decision making purposes
Decision-making reliability is crucial
• Credibility of IPM depends on decisions being correct
• Decisions have to be made with imperfect information & much of the imperfection is in monitoring data
• Every decision has a risk of being wrong• Lesson: We must understand how frequently our
decisions are incorrect and if there is a bias for overcontrol or undercontrol in our mistakes.
Reliability for Decision Tools
III
III IV
Pest Population on One Sample Date
Pes
t P
opul
atio
n on
Nex
t S
ampl
e D
ate
Max Tolerable Pest Pop.
Max Tolerable Pest Pop.
Consider this situation
Maximum Tolerable Level
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
Say we sample at weekly intervals
Maximum Tolerable Level
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
You have to make decisions at each
sampling date
Maximum Tolerable Level
I Correct decision to control
II Incorrect decision to do nothing
III Correct decision to do nothing
IV Incorrect decision to control
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
III
III
II
III
I
IV
III
Construction of the decision diagram from sampling data
III
III IV
Pest Population on One Sample Date
Pes
t P
opul
atio
n o
n N
ext
Sa
mpl
e D
ate
Max Tolerable Pest Pop.
Max Tolerable Pest Pop.
Time (Weeks)
Pes
t P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
IIIIII
II
III
I
IV
III
XY
Example: Find 15 pest individuals at first sample, 20 on the second sample
III
III IV
Pest Population on One Sample Date
Pes
t P
opul
atio
n o
n N
ext
Sa
mpl
e D
ate
Max Tolerable Pest Pop.
Max Tolerable Pest Pop.
Time (Weeks)
Pes
t P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
IIIIII
II
III
I
IV
III
1520
15
20
Example: Then, on the third week, we find 40 pest individuals
III
III IV
Pest Population on One Sample Date
Pes
t P
opul
atio
n o
n N
ext
Sa
mpl
e D
ate
Max Tolerable Pest Pop.
Max Tolerable Pest Pop.
Time (Weeks)
Pes
t P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
IIIIII
II
III
I
IV
III
20
20
40
40
Not all decision points are equally susceptible to error
Maximum Tolerable Level
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
III
III
II
III
I
IV
III
Reliability for Decision Tools
III
III IV
Pest Population on One Sample Date
Pes
t P
opul
atio
n on
Nex
t S
ampl
e D
ate
Max Tolerable Pest Pop.
Max Tolerable Pest Pop.
Reliability Depends on Several Factors
• Specific species being monitored• Sites (site selection is important)• Specific technique being used• Number of samples taken
– Number at each site & number of sites• Weather• Observer (Scout) – Scout training is emphasized• Other minor effects:
– Field size, location, & aspect– Time of day (pests with diurnal activity)– Field history
Some of These are Linked
• Specific species being monitored• Sites (site selection is important)• Specific technique being used• Number of samples taken
– Number at each site & number of sites• Weather• Observer (Scout) – Scout training is emphasized• Other minor effects:
– Field size, location, & aspect– Time of day (pests with diurnal activity)– Field history
Reading for Friday
• Bring your blue books with you to class• Before class, look through them & be able to
locate the insect, weed, and pathogen monitoring sections of each book.
• Over the next few weeks (i.e. by the next exam), be able to (1) describe at least one monitoring method for each pest group in each cropping system, (2) compare two sampling methods from different crops, for the same pest group (e.g. insects) and in the same generic category (absolute, relative, qualitative).
Conclude Pest Monitoring
• Closely read the material on “Techniques for assessing pest populations”, pp. 183 – 197.– There will be an exam question here.– We won’t discuss it in lecture but may refer to
the material as if you are very familiar with it.– Be sure & apply this section to your analysis
in your term paper.
Decision Making
• Have discussed the “Maximum Tolerable Level” but have not defined it.
• Several Points to Make:– More than 1 “Level” is usually needed.– There are many kinds of such levels (cf. p. 200 – 201
in text for one list).– “Action Levels” or “Thresholds” are one general
method of decision making. We will discuss the other one (Optimization) later.
• The leader in this field has been L. Pedigo. Be sure & read his article in the “Reading Assignments”
The General Problem
Maximum Tolerable Level
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
We actually see this:
Maximum Tolerable Level
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
One problem is that we need to allow for management response time – The time between when a control decision
is made and when it takes effect
Maximum Tolerable Level
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
Assume it takes 1 week to decide a control is needed, apply it, and for it to work
Decision must be made here
The other problem is uncertainty
Maximum Tolerable Level
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
Solution to both problems (mgmt response time & uncertainty) is to create two levels
Maximum Tolerable Level
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
1 2 3 4 5 6 7 8
Economic Threshold
Economic Injury Level
The maximum pest level that one is willing to tolerate.
The pest level at which action must be taken in order to avoid exceeding the EIL.
Quick Notes on EILs & ETs
• ET is always < EIL
• Units of ET & EIL are the same– Often pest density (absolute or relative)– Can also be injury (e.g. % defoliation)– Can also be implicit factors (e.g. leaf wetness)
• EIL & ET are hard numbers calculated from equations developed through field research.
The Basic EIL Model
The basic concept is that the EIL is the point at which the cost of a control = the value of damage that will be avoided by the control.
Value of damage avoided is a product of:Crop market value (V)Pest population density (P)Injury caused by each pest individual (I)Damage resulting from that injury (D)Proportion of total damage that cannot be avoided by
the control (K)
The Basic EIL Model
KDIV
CPEIL
'
CKDIPV '
Example
• Assume:– It costs $50/A to apply a given control (C)– A crop is worth $40/bushel (V)– Leaf area equal to two leaves/row foot are
eaten by each pest individual/plant (I)– The loss of two leaves/row foot results in the
loss of one bushel/A (D)– Even if you apply the control, you will still lose
10 % of the crop (K = 0.1, no units)
Example, Continued
KDIV
CPEIL
'
25.610.01240
50
EIL
Understanding the Units is Key
KDIV
CPEIL
'
25.610.02140
50
EIL
ft lv/rowbu/A
pest/plantft lv/row
bu$
$/A
EIL
Here’s how the units balance
ft lv/rowbu/A
pest/plantft lv/row
bu$
$/A
EIL
pest/plant
plant)1/1/(pest/
EIL Result:
EIL = 6.25 pests/plant
One of the principal advantages of EILs is their objectivity and scientific basis
KDIV
CPEIL
'
I, D, and K are determined empirically through field & laboratory experimentation.
C is, for the most part, easily determined.
For most agricultural crops, V is commonly available.
The principal source of subjectivity is in “Value”: Ex: Tree Crops & Gypsy Moth
KDIV
CPEIL
'
Time (Weeks)
Pe
st P
op
ula
tio
n D
en
sity
Resort Owner
Lumber Company
Municipality
Forest Ranger
Note that in all of these cases: C, I, D, & K are all the same. Only V changes.
Some examples of EILs & their derivation.
• EIL for Mexican Bean Beetle in Soybean – Details the development of an EIL.
• EILs for sorghum midge on sorghum – See Table 1 in the middle of the article.
• Common stalk borer in Nebraska corn
• Sweet potato whitefly on cantaloupe
How are ETs calculated?
• Most common method is heuristic. Most common rule of thumb is 1/3 EIL.
• Two examples of more formal methods are:
(1) ET = EIL/r
(2) ET = EIL/(expected rate of change in pest population)
General notes on ETs
• ETs are the predictive part of an EIL/ET pair – one acts on an ET in order to prevent the EIL from being exceeded.
• ETs are one type of “Action Threshold”. Other types were in Pedigo & your text (pp. 201 – 202).
• Note your text’s discussion of limitations of thresholds.
Advantages of Thresholds
• Conceptually easy to understand makes them easy to implement/adopt. Can also be represented in many formats: single numbers, tables, charts.
• Scientific basis to threshold criteria• Flexibility gives broad applicability
– Can be applied to a variety of pests in many situations– Can utilize many variables as the action variable. Climatic
variables often used for pathogens.– Have been extended to take into account many other issues.
Examples include• Age distribution• Multiple controls (e.g. biocontrol)• Environmental Impacts (i.e. macroeconomic “C” values)• Risk
Closely read the remainder of this chapter
• This is the only place where the following topics are discussed:– Use of field history– Field location & size– Monitoring climate– Use of computer/mathematical models– Aesthetic effects– Risk Assessment– Economics
Tactics
• Cultural Tactics (Chapter 16)• Biological Control (Chapter 13)• Pesticides (Chapter 11)• Resistance, Resurgence (Chapter 12)• Host Plant Resistance (Chapter 17)• Behavioral Control (Chapter 14)• Physical & Mechanical Tactics (Chapter 15)• Legislative Prevention (Chapter 10)
Cultural Management of Pests
• Change the way the crop is grown so as to– Make crop less suitable to pests– Make crop more suitable to biocontrols– Make crop better withstand pest attack
• All are preventative tactics, most target pest complexes.
• Many individual types of tactics, each of which has a narrow application range.
• Read Introduction on p 413 - 414
Basic Categories/Examples of Cultural Techniques
• Prevention/Preplant– Ex: use weed-free seed
• Field Preparation & Planting– Ex: increase plant spacing to reduce disease
• Cropping Tactics– Ex: use barrier crops to help exclude insects
• Harvest Tactics– Ex: harvest early to reduce yield loss
• Sanitation– Ex: pick up prunings to reduce pathogen inoculum
Good situations for cultural controls – Any of these will lead to the use of cultural controls
• Multiple simultaneous pests susceptible to 1 control method
• Crop has broad flexibility with respect to specific tactic but pest(s) does not
• Pest complex:– Has one or more key pests vulnerable to
environmental manipulation– Lacks pests capable of causing severe damage at low
density– Contains one or more pests that lack better control
alternatives
Benefits of cultural controls
• Often easily incorporated into the production system
• Predictable level of control, even if partial
• Fast acting
• As a group, relatively sustainable
Disadvantages of Cultural Controls
• Some are not environmentally benign (e.g. conventional tillage, residue burning)
• May alter crop value or gross income (planting date, harvesting, spacing)
• Some are labor/energy intensive (pruning, tillage)
• Widespread adoption may be low
• Many conflicts
Conflict Illustration
Time
Pe
st D
en
sit
y
Crop’s Maximum Susceptibility Period
Normal Planting DateLate Planting Date
Conflict Illustration
Time
Pe
st D
en
sit
y
Crop’s Maximum Susceptibility Period
Normal Planting DateLate Planting Date
Pest APest B
Often better to think of cultural control tactics as altering the pest complex rather than controlling it.
Conflicts Occur with:
• Agronomic Traits
• Other Pests
• Markets
• Other Cropping Practices
Begin Discussion of Cultural Control Categories
Basic Categories/Examples of Cultural Techniques
• Prevention/Preplant– Ex: use weed-free seed
• Field Preparation & Planting– Ex: increase plant spacing to reduce disease
• Cropping Tactics– Ex: use barrier crops to help exclude insects
• Harvest Tactics– Ex: harvest early to reduce yield loss
• Sanitation– Ex: pick up prunings to reduce pathogen inoculum
Prevention/Preplanting Tactics
• Site selection
• Preventing pest transport (equipment, soil)
• Use pest-free seed/transplants/rootstock
Field Preparation & Planting
• Cultivation & fertility• Plant & row spacing• Planting date (early vs late)• Planting method (depth, insertion method)• Mulches – organic & synthetic
Cropping Tactics
• Trap/Barrier Crops– Trap crops are destroyed with the pest– Barrier crops are on field perimeter
• Intercropping – Two or more useful crops• Cultivar mixtures – Different cultivars may
have to be planted in different fields to create a “cultivar patchwork”. Multilines will be discussed in HPR.
• Water Management
Cropping Tactics – Crop Rotation
• Intercropping in time
• Especially effective against soil-based pests: Weeds, soil-borne pathogens, root-feeding insects
• For weeds:– Changes weed complex– Not stand alone weed mgmt, instead used to
facilitate weed mgmt
Harvest Tactics
• Harvest timing (early vs late) -- may use early/late varieties, dessicants, defoliants, or other growth regulators.– Crop matures before pests build up– Harvesting operation itself causes extensive mortality.
• Harvest method• Partial Harvesting -- Prevents movement to high
value crops– Maintains young age structure– Concentrates natural enemies (usually more mobile)
Sanitation• Residue Removal• Burning/Flaming• Pruning (Removing Part of a Plant)
– Infected/Infested host tissue– Foliage that provides pest access– Alters canopy microclimate
• Roguing (Removing an Entire Plant)– Crop hosts– Alternate hosts
• Removing Other Resources (Often in Structures)– Harborage sites– Food/water sources
Biological Control
• One of the oldest pest management tools
• One of the most complex
• Excludes some biologically-based tools– Use of pests own behavior, biology, ecology– Use of crop resistance
• As a result, many definitions
Biological Control Defined
“The use of parasitoid, predator, pathogen, antagonist, or competitor population to suppress a pest population making it less abundant than it would be in the absence of the biocontrol agent
Emphasis on “population” helps exclude microbial pesticides
Biological Control
• Natural Control vs Biological Control– Natural Control is unmanaged, Biological
Control is managed. Definition of “managed” can be pretty loose.
• Natural Enemy = NE = “Biological Control Agent” & “Biocontrol Agent”– Any non-crop species that is antagonistic to
the pest. Includes predators, parasites, parasitoids, pathogens, competitors.
– May be managed or unmanaged.
Biocontrol Ideal
Time
EIL
Po
pu
lati
on
Den
sity
Biocontrol agent introduced
Pest
Biocontrol Agent
Three components interact to produce different biocontrol approaches
Cropping System
Pest Complex
Natural Enemy
Ideal
Emphasize the NE-Pest Interaction
NE lacks persistence, emphasize introduction
Emphasize effect of cropping system on NE
Cropping System Characteristics Conducive to Biocontrol
• Stability• Abiotic environment supports NE’s
– Temperature, moisture & shelter are all available as needed by NE
– Soils support soil-based NE’s
• Biotic environment supports NE’s– Alternative food sources available– Food for all life stages available
• Management practices compatible• Crop should have some damage tolerance
Biocontrol usually allows some injury and/or damage
EIL
Po
pu
lati
on
Den
sity
Time
}
Biocontrol agent population always lags behind the pest population. This allows the pest population to build up to some extent.
ET = EIL/3
ET > EIL/3
Pest complex characteristics conducive to biocontrol
• Few species in the target niche
• Stable species composition
• Few key pests, few direct pests
• Ideally, minor pest species can act as alternate hosts/prey
Note the benefits of biocontrol, pp 338 - 339
Costs/Disadvantages of Biocontrol
• Usually requires change in management practice
• Increases scouting effort• Intrinsic time delay• Increased risk
– New NE’s may cause harm– Uncertainty about NE requirements/reliability– Always a potential for pest to escape control
• Fundamentally incompatible with other control tactics
Characteristics of Effective NE’s
• Can detect pest populations at low densities• Rapid population growth relative to pest
population• High pest destruction rate per capita• Synchronized phenology• Persistence at low host density• Persistence over cropping seasons/rotations• Tolerant of management actions• Willingly adopted by pest managers & growers
Common Trade-off Quesitons
• Generalists vs. specialists.
• Multiple vs. single biocontrol species
Generalists vs. Specialist NE’s
• Disadvantages of generalists:– Usually have lower numeric response– Kill fewer pests/unit time/NE– May be attracted to other species
• Advantages of generalists:– Better survival when pest population is low– More likely present at pest establishment– Multiple generalist species can co-exist as a
community (greater stability & reliability)
Phase Plane – Specialist NEP
opul
atio
n D
ensi
ty
Time Pest Population
Nat
ural
Ene
my
Pop
ulat
ion
A specific phase plane’s characteristics are determined by (1) the biological parameters of the NE and Pest and (2) how closely the NE and Pest population dynamics are coupled. Specialists tend to be highly coupled.
Pest M
ax
Elementary Implications of the phase plane
Nat
ural
Ene
my
Pop
ulat
ion
Pest PopulationMust be < EIL
Stable -- Good Too Many Pests, Two Few NE’s – Pests Have
Escaped Control
Too Few Natural Enemies -- Pest Resurgence Danger
NE Max
NE Min
Pes
t M
in
Too Many NE’s for Pest Pop. –NE Crash Imminent
Outcome Uncertain –Probably Bad
The “good” area often identified in decision guides as NE/pest ratios
Spider Mite Examples• Predator mite/pest mite (spider mite) on
apples must be at least 1:10 in Washington raspberries.
• In N. Carolina apples:– 1 Predator mite/18 pest mites– 25 Coccinellid predators/5 trees
• European red mite in W. Virginia orchards– If mites > ET, no spray if predator/mite > 2.5
Multiple vs. Single NE Introductions
• Denoth et al. 2002 analyzed 167 biocontrol introduction projects– Multiple introductions increased success for
weed control, decreased success for insects– In > half, a single NE species was ultimately
responsible for almost all realized biocontrol.– Recommend that multiple introductions should
be used with restraint when attacking insect pests