SlideShare a Scribd company logo
1 of 67
COMMON
SAMPLING
TECHNIQUES
IN INSECT
PESTS
SUBMITTED TO: DR. BILAL RASOOL
SUBMITTED BY: ALI RAZA ISHAQ
ROLL NO: 94030
CLASS BS (8TH EVE) GCUF
COMMON SAMPLING
TECHNIQUES IN
INSECT PESTS
INTRODUCTION:
Pest ___ insect or other
organisms that cause
any damage to crop,
stored produce or
animal.
Pest that cause less
than 5% loss in yield,
are said to be
negligible.
Pest that cause 5-10%
loss in yield, are minor
pests
Pest that cause more
than 10% loss in yield,
are major pests.
CATEGORIES
OF INSECT
PESTS
There are
the
following
categories
of insect
pest:
Regular pests:
Occasional Pests:
Seasonal Pests:
Persistent Pests:
Sporadic Pests:
Epidemic Pests:
Endemic Pests:
Exotic Pests:
REGULAR
PESTS
• OCCUR MOST
FREQUENTLY (REGULARLY)
IN A CROP AND HAS CLOSE
ASSOCIATION WITH CROP.
• EXAMPLE’S
• :CHILLI THRIPS
• BRINJAL SHOOT
• FRUIT BORER
• SUGAR CANE BORERS.Chilli Thrips
This Photo by Unknown Author is licensed under CC BY-SA
OCCASIONAL
PESTS:
• THE PEST HAS CLOSE
ASSOCIATION WITH A CROP.
THEY OCCUR
OCCASIONALLY.
• FOR EXAMPLE
• RICE CASE WORM
• PADDY FLEA BEETLE
This Photo by Unknown Author is licensed under CC BY-SA-NC
Paddy Flea Beetle
SEASONAL PESTS
• RED HAIRY CATER PILLAR
OCCUR MOSTLY DURING A PART OF
THE YEAR, USUALLY THE INCIDENCE
IS GOVERNED BY CLIMATIC
CONDITIONS.
This Photo by Unknown Author is licensed under CC BY
PERSISTENT PESTS:
• OCCUR ON A CROP PERSISTENTLY.
• FOR EXAMPLE
• SCALES
• MEALY BUGS
• COCKROACHES
This Photo by Unknown Author is licensed under CC BY-SA
SPORADIC PESTS:
OCCASIONALLY CAUSING SERIOUS DAMAGE
EXAMPLE
PADDY LEAF ROLLER
This Photo by Unknown Author is licensed under CC
BY
EPIDEMIC PEST
EPIDEMIC MEANS ABUNDANCE, OUTBREAKS (SUDDEN
INCREASE IN LARGE NUMBERS) OF A PEST IN EACH AREA
AT GIVEN TIME.
This Photo by Unknown Author is licensed under CC
BY-SA
ENDEMIC PESTS:
ENDEMIC,MEAN BELONGING, OR
NATIVE TO, PREVALENT IN AN AREA.
ENDEMIC MEANS A PEST OCCURS
CONTINUOUSLY AND WITH
PREDICTABLE REGULARITY IN A
SPECIFIC AREA OR POPULATION
This Photo by Unknown Author is licensed under CC BY-SA
Citrus Black Fly
EXOTICE PESTS:
NON-NATIVE OR NON-INDIGENOUS.
PESTS NOT KNOWN TO OCCUR IN
THE STATE OR COUNTRY
PEST
MONITORIN
G
Monitoring phytophagous insects and their
natural enemies is a fundamental tool in
IPM - for taking management decision
Monitoring means estimation of changes in
insect distribution and abundance.
It also includes the information about
insects, life history or influence of biotic
and abiotic factors on pest population .
PEST
SURVEILLAN
CE
• SURVEILLANCE IS THE MONITORING OF THE BEHAVIOR, ACTIVITIES, OR
OTHER CHANGING INFORMATION, USUALLY OF PEOPLE, INSECTS, AND
PATHOGENS
• THE WORD SURVEILLANCE COMES FROM THE FRENCH WORD FOR
"WATCHING OVER".
• IT IS SYSTEMATIC MONITORING OF PEST POPULATION, DISPERSION, AND
DYNAMICS IN DIFFERENT CROP GROWTH PHASES TO FOREWARN THE
FARMERS TO TAKE UP TIMELY REQUIRED CROP PROTECTION MEASURES.
• PEST SURVEILLANCE CAN BE DONE USING THE
• LIGHT TRAPS
• PHEROMONE TRAPS
• FOOD TRAPS
• ATTRACTANTS
• PITFALL TRAPS (FOR SOIL INSECTS),
• FIELD SCOUTING
IMPORTANCE
AND
ADVANTAGE
S OF PEST
SURVEILLAN
CE:
• USEFUL FOR PEST FORECASTING
• HELP TO PLAN CROPPING PATTERN
• HELP TO PLAN PEST MANAGEMENT PROGRAMMERS'
• AIDS IN DEVELOPING MODELS, AND TO FIND-OUT
THE THUMB RULE MODELS.
• HELP IN APPLICATION OF INSECTICIDES (STAGE,
DOSE, TYPE ETC.)
• HELPS IN MAINTAINING STABILITY OF
AGROECOSYSTEM
COMPONEN
TS
REQUIRED
FOR PEST
SURVEILLAN
CE:
Identification of the Pest
Distribution pattern, and prevalence of the Pest
Severity of Pest
Levels of incidence of the pest
Losses due to pest incidence
Population dynamics
Weather parameters
Data on Natural enemies
BASIC
COMPONEN
TS FOR PEST
CONTROL
Three basic component
a) The level of incidence of the
pest species
b) The loss caused by the
incidence
c) The economic benefits, the
control will provide
PEST FORECASTING
Forecasting is the process of making
statements about events whose actual
outcomes (typically) have not yet been
observed.
A common place example might be
estimation of the expected value for some
variable of interest at some specified future
date. Prediction is a similar, but more
general term. Both might refer to formal
statistical methods employing time series,
cross-sectional or longitudinal data, or
alternatively to less formal judgmental
methods.
PEST
FORECASTIN
G
• PEST FORECASTING IS THE SYSTEMATIC
MONITORING OF PEST POPULATION, DISPERSION
AND DYNAMICS IN DIFFERENT CROP GROWTH
PHASES USING MODELS PREPARED BASED ON THE
PREVIOUS DATA, TO FOREWARN THE FARMERS TO
TAKE-UP TIMELY CROP PROTECTION MEASURES
NEEDED.
• PEST FORECASTING IS BASED ON THE MODELS
DEVELOPED USING THE PREVIOUS DATA POINTS
AND MANY ORGANIZATIONS ARE INVOLVED IN
FORECASTING OF PEST INCIDENCES AND
FOREWARNING ABOUT THE PEST OUTBREAKS.
USES OF
PEST
FORECAS
TING
A) PREDICTING PEST OUTBREAK WHICH NEEDS
CONTROL MEASURE
B) SUITABLE STAGE AT WHICH CONTROL
MEASURE GIVES MAXIMUM PROTECTION
TYPES OF PEST FORECASTING
• SHORT TERM FORECASTING
• BASED ON 1 OR 2 SEASONS
• THE PEST POPULATION IS
SAMPLED FROM A AREA
WITHIN A CROP USING
APPROPRIATE SAMPLING
TECHNIQUE AND THE
RELATIONSHIP IS ESTABLISHED
BETWEEN WEATHER DATA
AND PROGRESS IN PEST
INFESTATION.
• LONG TERM FORECASTING
• BASED ON EFFECT OF WEATHER
PARAMETERS ON PEST
• THE DATA ARE RECORDED OVER A
NUMBER OF YEARS ON WIDE
SEASONAL RANGE AND FROM
DIFFERENT AREAS. LONG-TERM
FORECASTING IS BASED ON
KNOWLEDGE OF THE MAJOR ASPECTS
OF THE PEST INSECT’S LIFE- CYCLE,
AND OF HOW IT IS REGULATED.
• TO KNOW EXISTING AND NEW PEST SPECIES
• TO ASSESS PEST POPULATION AND DAMAGE
AT DIFFERENT GROWTH STAGE OF CROP
• TO STUDY THE INFLUENCE OF WEATHER
PARAMETERS ON PEST
• TO STUDY CHANGING PEST STATUS (MINOR
TO MAJOR)
• TO ASSESS NATURAL ENEMIES AND THEIR
INFLUENCE ON PESTS’ EFFECT OF NEW
CROPPING PATTERN AND VARIETIES ON PEST
OBJECTIVES OF PEST
SURVEILLANCE
SURVEY
CONDUCTED TO
STUDY THE
ABUNDANCE OF A
PEST SPECIES
TYPES OF
SURVEY: • Roving survey
• Fixed plot survey
There are two types of survey
ROVING
SURVEY
• ASSESSMENT OF PEST
POPULATION/DAMAGE
FROM RANDOMLY
SELECTED SPOTS
REPRESENTING LARGER
AREA. LARGE AREA
SURVEYED IN SHORT
PERIOD. PROVIDES
INFORMATION ON PEST
LEVEL OVER LARGE AREA
FIXED PLOT SURVEY
ASSESSMENT OF PEST POPULATION/DAMAGE FROM A
FIXED PLOT SELECTED IN A FIELD. THE DATA ON PEST
POPULATION/DAMAGE RECORDED PERIODIC FROM
SOWING TILL HARVEST.
QUALITATIVE
SURVEY
IT IS
USEFUL
FOR
DETECTIO
N OF PEST
QUANTITATIV
E SURVEY
IT IS
USEFUL
FOR
ENUMERA
TION OF
PEST.
SAMPLING TECHNIQUES
ABSOLUTE SAMPLING
• TO COUNT ALL THE PESTS OCCURRING IN A PLOT. ABSOLUTE METHODS
ESTIMATE DENSITY FROM PRECISE AREA; USED TO COMPARE DENSITIES BASED
ON AREA. POPULATION INDEX MEASURES PRODUCT OR EFFECT OF A
POPULATION.
• EXAMPLES:
• VISUAL EXAMINATION
• QUADRATE SAMPLING
• SUCTION SAMPLING
• ENCLOSURE DEVICES
• EXTRACTION
• EMERGENCE
• AERIAL NETS
VISUAL
EXAMINATION
• USED FOR DETECTING HOUSEHOLD AND
STRUCTURAL PESTS, AND IMPORTANT WHERE
THE INSECTS THAT MIGHT BE ENCOUNTERED
ARE UNKNOWN, CRYPTIC, OR VARIABLE
• DOGS AND ELECTRONIC DETECTOR ARE
SOMETIMES USED TO FIND INVISIBLE
TUNNELING LIKE THAT WHICH OCCURRED IN
THIS WALL BASEBOARD, FOLLOWED BY VISUAL
CONFIRMATION.
VISUAL EXAMINATION IS OFTEN AN
EFFECTIVE, IF TIME CONSUMING, WAY
TO SAMPLE ARTHROPODS
QUADRATE
SAMPLING
• A MITE BRUSHING MACHINE BRUSHES ITEMS
FROM THE SURFACE OF LEAVES, PROPELLING
THEM DOWNWARD ONTO A THIN FILM OF OIL
THAT COATS A GLASS PLATE. THUS, IT IS
POSSIBLE TO DETERMINE THE NUMBER OF
MITES PER LEAF.
QUADRATE SAMPLING DELINEATES
AN EXACT AREA OF SAMPLING,
THOUGH THE AREA NEED NOT
REALLY BE 4-SIDED.
LIVE TRAPS
• IT IS THE COMBINATION OF ANIMAL
POPULATION, DISEASE INCIDENCE AND INSECT
VECTOR POPULATION THAT DETERMINES THE
THREAT TO HUMANS.
ARE USED TO CAPTURE SMALL
ANIMALS SUCH AS RODENTS, WHICH
THEN CAN BE EXAMINED FOR BOTH
TICK AND FLEA VECTORS
EMERGENCE TRAPS
• USUALLY SUCH TRAPS TAKE ADVANTAGE OF
THE INSECT’S TENDENCY TO MOVE TO LIGHT
AND HAVE A CAPTURING OR KILLING
MECHANISM AT THE TOP OF THE TRAP.
OFTEN ARE USED TO CAPTURE
INSECTS THAT LIVE BELOWGROUND
OR UNDER WATER
RELATIVE
SAMPLIN
G
• TO MEASURE PEST IN TERMS OF SOME VALUES
WHICH CAN BE COMPARED OVER TIME AND
SPACE E.G. LIGHT TRAP CATCH, PHEROMONE
TRAP. RELATIVE METHODS ESTIMATE DENSITY
WITHOUT STRICT REGARD TO AREA SAMPLED;
USED TO COMPARE AMONG EFFORTS BASED ON
EFFORT.
.
EXAMPLES:
• SWEEP NET
• VACUUM TRAP
• TIMED COUNTS
• TRAPS
• VISUAL
• CHEMICAL
• INTERCEPTION
A PHEROMONE-BAITED TRAP LIKE THIS
CAPTURES MOTHS WHEN THEY FLY AND CRAWL
UPWARDS AND ARE CAPTURED IN THE
CONTAINER ON TOP
SWEEP NET
• SWEEPING WITH A NET IS
A VERY COMMON AND
INEXPENSIVE METHOD OF
SAMPLING. FLIGHT TRAPS
COST SUBSTANTIALLY MORE
AND ARE LIMITED TO
FLYING INSECTS.
This Photo by Unknown Author is licensed under CC BY
VACUUM TRAP
• VARIOUS VACUUM SAMPLERS ARE USED AND
ARE OFTEN CALLED “DVACS” AFTER THE
ORIGINAL MODEL. THEY ARE EFFICIENT, BUT
COSTLY AND NOISY TO OPERATE. VACUUM
SAMPLER IS USED TO VACUUM THE CONTENTS
OF A BOX PLACED OVER SHRUBS. THIS
EFFECTIVELY CONVERTS ITS OPERATION FROM
A RELATIVE TO AN ABSOLUTE SAMPLING
PROCEDURE.
This Photo by Unknown Author is licensed under CC BY-SA-NC
TRAPS
Traps are widely used for insect sampling and
monitoring.
Light traps were more popular before the advent of
pheromones. They have the advantage, and
disadvantage, of being non-selective.
They can be operated off battery or household
current. Here the battery is being recharged by a solar
panel.
VISUAL TRAPS
• A FRUIT MODEL MAKES A GOOD VISUAL TRAP,
SUCH AS THIS GRAPEFRUIT MODEL. WHEN
COVERED WITH ADHESIVE,
• IT ALLOWS ESTIMATION OF ADULT NUMBERS.
URBAN PEST CONTROL COMPANIES OFTEN USE
STICKY TRAPS TO SAMPLE FOR INSECT PESTS IN
COMMERCIAL ESTABLISHMENTS AND SCHOOLS.
• THEY ARE NOT VISUALLY ATTRACTIVE (SOME
WOULD DESCRIBE THEM AS DISGUSTING), SO THEY
MUST BE PLACED IN OUT-OF-THE-WAY PLACES,
SUCH AS STOREROOMS.
• INSECTS STUCK IN ADHESIVE ARE MESSY AND CAN
BE DIFFICULT TO REMOVE AND IDENTIFY. ALSO,
SUCH TRAPS MAY NOT BE SELECTIVE
This Photo by Unknown Author is licensed under CC BY-SA
BUCKET TRAP
• THE BUCKET TRAP AND
WING TRAP INTRODUCE
SELECTIVITY BY USING
PHEROMONES AS LURES.
This Photo by Unknown Author is licensed under CC BY-NC-ND
PHEROMONE
TRAPS
• PHEROMONE TRAPS ARE POPULAR
BECAUSE THEY PROVIDE
SPECIFICITY, ARE COMMERCIALLY
AVAILABLE, AND CAN BE USED
UNDER A VARIETY OF
CIRCUMSTANCES.
• THOUGH PHEROMONE TRAPS
USUALLY RELY ON ADHESIVE FOR
INSECT RETENTION, THIS IS NOT
ALWAYS OPTIMAL
This Photo by Unknown Author is licensed under CC BY-NC
MOSQUITO
TRAP
• QUITE VARIED, BUT
OFTEN INVOLVE THE USE OF
DRY ICE AS A SOURCE OF
CARBON DIOXIDE, AND A
SMALL FAN TO BLOW THE
MOSQUITOES INTO A
RECEPTACLE.
This Photo by Unknown Author is licensed under CC BY-SA
FLIGHT TRAP
• FLIGHT TRAP, CALLED A MALAISE
TRAP, IS AN EXAMPLE OF AN
INTERCEPTION TRAP.
• THERE IS NO ACTIVE ELEMENT
TO THE TRAP, THEY ARE FLYING
INSECTS ARE INTERCEPTED,
CRAWL UPWARDS, AND ARE
CAPTURED IN A JAR.
• THE OTHER COMMON
INTERCEPTION TECHNIQUE IS A
TRANSPARENT PANE OF PLASTIC
OR GLASS WHICH INTERRUPTS
FLIGHT. INSECTS ARE CAPTURED
ON ADHESIVE OR FALL INTO A
RESERVOIR OR RECEPTACLE.
This Photo by Unknown Author is licensed under CC BY-SA
SAMPLING PLANS
FOUR
MAJOR
TYPES OF
PLANS
Fixed sample size Sampling
Sequential Sampling
Variable-intensity Sampling
Binomial Sampling
FIXED
SAMPLE
SIZE
• MOST COMMON APPROACH (E.G., “10”) THOUGH
OPTIMAL SIZE CAN BE CALCULATED. OPTIMAL
SAMPLE SIZE DECREASES WITH POPULATION
DENSITY.
• SHOULD BE ABLE TO GET BY WITH FEWER SAMPLES
AT HIGH DENSITY.
OPTIMAL
SAMPLE
SIZE
• THERE ARE VARIOUS MEANS TO CALCULATE THE
OPTIMAL SAMPLE SIZE IF YOU ELECT TO USE A
FIXED SAMPLE.
• YOU WANT TO BE SURE THAT YOU CAN BE SURE
THAT YOU OBTAIN AN ACCURATE ASSESSMENT
OF THE POPULATION.
• N = S2 / E X
• WHERE N IS THE NUMBER OF SAMPLES, S IS THE
STANDARD DEVIATION, E IS THE PREDETERMINED
STANDARD ERROR AS A DECIMAL OF THE MEAN
(IN THIS CASE 0.05), X IS THE MEAN.
SEQUENTI
AL
SAMPLING
:
• VARIABLE NUMBER OF SAMPLES TAKEN. SAMPLE
UNTIL THE POPULATION CAN BE CLASSIFIED (E.G.,
NO THREAT OR CONTROL NEEDED).
• MORE SAMPLING AT INTERMEDIATE LEVELS AND
EFFICIENT SAMPLING METHOD.
BINOMIAL
SAMPLIN
G
• RELATIONSHIP BETWEEN % OF INFESTED SAMPLING
UNITS (E.G. LEAVES) AT DIFFERENT PEST
DENSITIES. TALLY NUMBER OF LEAVES INFESTED
INSTEAD OF COUNTING PESTS. ESTIMATES
UNRELIABLE WHEN INFESTATIONS ARE HIGH (≥
80%)
RECORDS PRESENCE OR ABSENCE; PROPORTION
INFESTED OR DAMAGED
DOES NOT TABULATE NUMBER OF INSECTS
METHODS OF
SAMPLING
1. IN SITU COUNTS
• VISUAL OBSERVATION ON NUMBER OF INSECTS ON PLANT CANOPY (EITHER
ENTIRE PLOT OR RANDOMLY SELECTED PLOT).
• COUNTS OF INSECT/MITES OR DAMAGE DIRECTLY ON LEAVES, STEMS, FRUIT,
ROOT. APHIDS, SCALE INSECTS’ MITES, LEAF MINERS, SMALL CATERPILLARS,
LEAF HOPPERS, IMMATURE PSYLLA. 10X-20X HAND LENS USEFUL FOR THIS
METHOD.
KNOCK DOWN AND NETTING
• COLLECTING INSECTS FROM AN AREA
BY REMOVING FROM CROP AND
(SUDDEN TRAP) COUNTING (JARRING)
• IN THIS TECHNIQUE, USE OF SWEEP
NET FOR HOPPERS, ODONATES,
GRASSHOPPER
NOR COTISED COLLECTION
• QUICK MOVING INSECTS ANAESTHETIZED AND COUNTER
STAGE OF
SAMPLING
• USUALLY MOST INJURIOUS STAGE COUNTED
• SOMETIMES EGG MASSES COUNTED PRACTICAL
CONSIDERATIONS
• HOPPERS - NYMPHS AND ADULT COUNTED
SAMPLE
SIZE
Differs with nature of
pest and crop
Parger sample size
gives accurate results
DECISION MAKING
Population or damage
assessed from the crop
Compared with ETL and
EIL
When pest level crosses
ETL, control measure
must be taken to
prevent pest from
reducing EIL.
ECONOMI
C INJURY
LEVEL
• DEFINED AS THE LOWEST POPULATION DENSITY
THAT WILL CAUSE ECONOMIC DAMAGE. IT CAN
ALSO BE DEFINED AS A CRITICAL DENSITY WHERE
THE LOSS CAUSED BY THE PEST EQUALS THE COST
OF CONTROL MEASURE.
EIL
FORMULA
• EIL = ____C________
V X I X D X K
EIL = ECONOMIC INJURY LEVEL IN INSECTS/PRODUCTION (OR)
INSECTS/HA
C = COST OF MANAGEMENT ACTIVITY PER UNIT OF PRODUCTION
(RS. /HA)
V = MARKET VALUE PER UNIT OF YIELD OR PRODUCT (RS. /TONNE)
I = CROP INJURY PER INSECT (PER CENT DEFOLIATION/INSECT)
D = DAMAGE OR YIELD LOSS PER UNIT OF INJURY (TONNE
LOSS/% DEFOLIATION)
K = PROPORTIONATE REDUCTION IN INJURY FROM PESTICIDE
USE
MONITORIN
G DEGREE
DAYS
• DETERMINE BEST TIME TO SAMPLE FOR OR
CONTROL INSECTS/ MITES PARTICULAR INSECT/
MITE GROWTH STAGE. PREDICTS INSECT
DEVELOPMENT BY ACCUMULATING HEAT UNITS
(DEGREE DAYS).
MONITORIN
G DEGREE
DAYS
Biofix:
When to begin accumulating degree days Calendar date or biological
event (1st or peak flight).
Threshold temperatures:
Lower threshold: no development below this
Upper threshold: no development above this
Mean daily temperature: Tmax - Tmin /2
SAMPLING
TOOLS:
Clipboard
Keep all the
scouting forms
and field maps in
one place.
Field maps
Jot notes, location
pest problems and
record
observations
Scouting forms
Record sampling
monitoring data,
field history.
Hand lens
See and correctly
identify pests, 10-
20x Pencils Carry a
spare
SAMPLING
TOOLS
Collection bags and vials –Send pest /damage samples to others
Traps/ trap parts (lures) –There’s always a broken trap
Camera –Send pest /damage photo to others for ID
References –field guides, fact sheets, pictures of pests/damage
GPS unit –relocate sample sites accurately
Pocket knife
Cutting shoots, scraping at trunks skinning berries.
Shovel /sturdy trowel –digging soil
CONCLUSIO
N
• IN SUMMARY, THE WIDESPREAD USE OF
INSECTICIDES IS INEFFECTIVE AND ECONOMICALLY
WASTEFUL IN THE LONG RUN. MANY INSECTICIDES
DO IN FACT ACCOMPLISH THE INTENDED TASK OF
CONTROLLING PEST POPULATIONS. HOWEVER,
THEIR DETRIMENTAL HEALTH AND ENVIRONMENTAL
EFFECTS MAKE THEM AN INADEQUATE LONG-TERM
SOLUTION. IN ADDITION, MOST SYNTHETIC AND
NATURAL PESTICIDES ARE SUSCEPTIBLE TO
INEFFECTIVENESS DUE TO RESISTANCE BUILDUP IN
INSECTS. THUS, THE ONLY VIABLE SOLUTION FOR
THE FUTURE IS INTEGRATED PEST MANAGEMENT.
THE ECONOMIC BENEFITS AND REDUCED SOCIAL
COSTS OF THESE SYSTEMS PRESENT A LOGICAL
ANSWER TO THE PEST CONTROL PROBLEM.
This Photo by Unknown Author is licensed under CC BY-NC

More Related Content

What's hot

Insect monitoring and forecasting
Insect monitoring and forecastingInsect monitoring and forecasting
Insect monitoring and forecastingFrancis Matu
 
Classical biological control
Classical biological controlClassical biological control
Classical biological controlSAURABHPADAMSHALI
 
Biological control
Biological control Biological control
Biological control Shweta Patel
 
8 Beneficial Insects
8 Beneficial Insects8 Beneficial Insects
8 Beneficial Insectssherylwil
 
Biological Control
Biological ControlBiological Control
Biological ControlKarl Obispo
 
Biological control by augmentation
Biological control by augmentationBiological control by augmentation
Biological control by augmentationDevina Seram
 
category of insect pest
category of insect pestcategory of insect pest
category of insect pestNavneet Mahant
 
Pest surveillence and monitoring satyasri
Pest surveillence and monitoring  satyasriPest surveillence and monitoring  satyasri
Pest surveillence and monitoring satyasriNaga Satyasri Ch
 
Survey and sampling and forcasting
Survey and sampling and forcastingSurvey and sampling and forcasting
Survey and sampling and forcastingRavi Yadav
 
Economical basis of IPM - Economic Thresholds
Economical basis of IPM -  Economic ThresholdsEconomical basis of IPM -  Economic Thresholds
Economical basis of IPM - Economic Thresholdskhalil amro
 
Insect population
Insect populationInsect population
Insect populationAnand P P
 
1 biological control of weeds-ajay sharma
1 biological control of weeds-ajay sharma1 biological control of weeds-ajay sharma
1 biological control of weeds-ajay sharmaAjay Sharma
 
Economic Concept of Pest Management
Economic Concept of Pest ManagementEconomic Concept of Pest Management
Economic Concept of Pest ManagementKarl Obispo
 
methods of insect sampling in forest
methods of insect sampling in  forestmethods of insect sampling in  forest
methods of insect sampling in forestBandana Dandpat
 
Legal control.
Legal control.   Legal control.
Legal control. Snehal mane
 
IPM:- Integrated Pest Management
IPM:- Integrated Pest ManagementIPM:- Integrated Pest Management
IPM:- Integrated Pest ManagementNavneet Mahant
 

What's hot (20)

Insect monitoring and forecasting
Insect monitoring and forecastingInsect monitoring and forecasting
Insect monitoring and forecasting
 
Classical biological control
Classical biological controlClassical biological control
Classical biological control
 
Biological control
Biological control Biological control
Biological control
 
Sugarcane top borrer
Sugarcane top borrerSugarcane top borrer
Sugarcane top borrer
 
8 Beneficial Insects
8 Beneficial Insects8 Beneficial Insects
8 Beneficial Insects
 
Biological Control
Biological ControlBiological Control
Biological Control
 
Biological control by augmentation
Biological control by augmentationBiological control by augmentation
Biological control by augmentation
 
category of insect pest
category of insect pestcategory of insect pest
category of insect pest
 
Pest surveillence and monitoring satyasri
Pest surveillence and monitoring  satyasriPest surveillence and monitoring  satyasri
Pest surveillence and monitoring satyasri
 
Survey and sampling and forcasting
Survey and sampling and forcastingSurvey and sampling and forcasting
Survey and sampling and forcasting
 
Economical basis of IPM - Economic Thresholds
Economical basis of IPM -  Economic ThresholdsEconomical basis of IPM -  Economic Thresholds
Economical basis of IPM - Economic Thresholds
 
Insect population
Insect populationInsect population
Insect population
 
Crop loss assessment
Crop loss assessmentCrop loss assessment
Crop loss assessment
 
ENTO 231_L.No.1_Ecology.ppt
ENTO 231_L.No.1_Ecology.pptENTO 231_L.No.1_Ecology.ppt
ENTO 231_L.No.1_Ecology.ppt
 
1 biological control of weeds-ajay sharma
1 biological control of weeds-ajay sharma1 biological control of weeds-ajay sharma
1 biological control of weeds-ajay sharma
 
Economic Concept of Pest Management
Economic Concept of Pest ManagementEconomic Concept of Pest Management
Economic Concept of Pest Management
 
methods of insect sampling in forest
methods of insect sampling in  forestmethods of insect sampling in  forest
methods of insect sampling in forest
 
Legal control.
Legal control.   Legal control.
Legal control.
 
Toxicology
ToxicologyToxicology
Toxicology
 
IPM:- Integrated Pest Management
IPM:- Integrated Pest ManagementIPM:- Integrated Pest Management
IPM:- Integrated Pest Management
 

Similar to Common sampling techniques in insect pests

Pesticide Hazard Assessment
Pesticide Hazard Assessment Pesticide Hazard Assessment
Pesticide Hazard Assessment Gent University
 
Colonization of natural enemies
Colonization of natural enemiesColonization of natural enemies
Colonization of natural enemiesIGKV, Raipur
 
Dengue Vector surveillance Pakistan.pptx
Dengue Vector surveillance Pakistan.pptxDengue Vector surveillance Pakistan.pptx
Dengue Vector surveillance Pakistan.pptxasifmehmood227390
 
Dengue Vector surveillance Pakistan.pptx
Dengue Vector surveillance Pakistan.pptxDengue Vector surveillance Pakistan.pptx
Dengue Vector surveillance Pakistan.pptxasifmehmood227390
 
NPDES Permit and Mosquito Surveillance
NPDES Permit and Mosquito SurveillanceNPDES Permit and Mosquito Surveillance
NPDES Permit and Mosquito SurveillanceGDPH
 
COLONIZATION OF NATURAL ENEMIES
COLONIZATION OF NATURAL ENEMIESCOLONIZATION OF NATURAL ENEMIES
COLONIZATION OF NATURAL ENEMIESRAKESH KUMAR MEENA
 
application of biological control agents.pptx
application of biological control agents.pptxapplication of biological control agents.pptx
application of biological control agents.pptxdaliamahmoud19
 
Optical Sensors in Plant Disease Detection
Optical Sensors in Plant Disease DetectionOptical Sensors in Plant Disease Detection
Optical Sensors in Plant Disease DetectionGoliBhaskarSaiManika
 
How Does Farming Weeds Answer Questions About Pesticide Risk? Crop Protection...
How Does Farming Weeds Answer Questions About Pesticide Risk? Crop Protection...How Does Farming Weeds Answer Questions About Pesticide Risk? Crop Protection...
How Does Farming Weeds Answer Questions About Pesticide Risk? Crop Protection...Covance
 
OS16 - 4.P3.f Haebos, A Hybrid Agent-and Equation-Based Model of FMD in Ver...
OS16 - 4.P3.f   Haebos, A Hybrid Agent-and Equation-Based Model of FMD in Ver...OS16 - 4.P3.f   Haebos, A Hybrid Agent-and Equation-Based Model of FMD in Ver...
OS16 - 4.P3.f Haebos, A Hybrid Agent-and Equation-Based Model of FMD in Ver...EuFMD
 
Disease forcasting
Disease forcastingDisease forcasting
Disease forcastingShweta Patel
 
Pest Survey and Surveillance.pptx
Pest Survey and Surveillance.pptxPest Survey and Surveillance.pptx
Pest Survey and Surveillance.pptxJanardanSaikia1
 
Infection prevention and safety measures
Infection prevention and safety measuresInfection prevention and safety measures
Infection prevention and safety measuresfrank jc
 
Screening protocols for major pests of crops
Screening protocols for major pests of cropsScreening protocols for major pests of crops
Screening protocols for major pests of cropsSatishGolla6
 
Plant parasitic-nematode-analysis
Plant parasitic-nematode-analysisPlant parasitic-nematode-analysis
Plant parasitic-nematode-analysisMidwest Laboratories
 
Integrated Pest Management for Greenhouse Crops
Integrated Pest Management for Greenhouse CropsIntegrated Pest Management for Greenhouse Crops
Integrated Pest Management for Greenhouse CropsElisaMendelsohn
 
Integrated Pest Management for Greenhouse Crops
Integrated Pest Management for Greenhouse CropsIntegrated Pest Management for Greenhouse Crops
Integrated Pest Management for Greenhouse CropsElisaMendelsohn
 
Modelling to support rinderpest outbreaks preparedness
Modelling to support rinderpest outbreaks preparednessModelling to support rinderpest outbreaks preparedness
Modelling to support rinderpest outbreaks preparednessExternalEvents
 

Similar to Common sampling techniques in insect pests (20)

Pesticide Hazard Assessment
Pesticide Hazard Assessment Pesticide Hazard Assessment
Pesticide Hazard Assessment
 
Colonization of natural enemies
Colonization of natural enemiesColonization of natural enemies
Colonization of natural enemies
 
Dengue Vector surveillance Pakistan.pptx
Dengue Vector surveillance Pakistan.pptxDengue Vector surveillance Pakistan.pptx
Dengue Vector surveillance Pakistan.pptx
 
Dengue Vector surveillance Pakistan.pptx
Dengue Vector surveillance Pakistan.pptxDengue Vector surveillance Pakistan.pptx
Dengue Vector surveillance Pakistan.pptx
 
NPDES Permit and Mosquito Surveillance
NPDES Permit and Mosquito SurveillanceNPDES Permit and Mosquito Surveillance
NPDES Permit and Mosquito Surveillance
 
COLONIZATION OF NATURAL ENEMIES
COLONIZATION OF NATURAL ENEMIESCOLONIZATION OF NATURAL ENEMIES
COLONIZATION OF NATURAL ENEMIES
 
application of biological control agents.pptx
application of biological control agents.pptxapplication of biological control agents.pptx
application of biological control agents.pptx
 
Optical Sensors in Plant Disease Detection
Optical Sensors in Plant Disease DetectionOptical Sensors in Plant Disease Detection
Optical Sensors in Plant Disease Detection
 
How Does Farming Weeds Answer Questions About Pesticide Risk? Crop Protection...
How Does Farming Weeds Answer Questions About Pesticide Risk? Crop Protection...How Does Farming Weeds Answer Questions About Pesticide Risk? Crop Protection...
How Does Farming Weeds Answer Questions About Pesticide Risk? Crop Protection...
 
OS16 - 4.P3.f Haebos, A Hybrid Agent-and Equation-Based Model of FMD in Ver...
OS16 - 4.P3.f   Haebos, A Hybrid Agent-and Equation-Based Model of FMD in Ver...OS16 - 4.P3.f   Haebos, A Hybrid Agent-and Equation-Based Model of FMD in Ver...
OS16 - 4.P3.f Haebos, A Hybrid Agent-and Equation-Based Model of FMD in Ver...
 
Disease forcasting
Disease forcastingDisease forcasting
Disease forcasting
 
Pest Survey and Surveillance.pptx
Pest Survey and Surveillance.pptxPest Survey and Surveillance.pptx
Pest Survey and Surveillance.pptx
 
Infection prevention and safety measures
Infection prevention and safety measuresInfection prevention and safety measures
Infection prevention and safety measures
 
Screening protocols for major pests of crops
Screening protocols for major pests of cropsScreening protocols for major pests of crops
Screening protocols for major pests of crops
 
Screening
ScreeningScreening
Screening
 
Plant parasitic-nematode-analysis
Plant parasitic-nematode-analysisPlant parasitic-nematode-analysis
Plant parasitic-nematode-analysis
 
Session 5: Decision making for eradication and quarantine zones
Session 5: Decision making for eradication and quarantine zonesSession 5: Decision making for eradication and quarantine zones
Session 5: Decision making for eradication and quarantine zones
 
Integrated Pest Management for Greenhouse Crops
Integrated Pest Management for Greenhouse CropsIntegrated Pest Management for Greenhouse Crops
Integrated Pest Management for Greenhouse Crops
 
Integrated Pest Management for Greenhouse Crops
Integrated Pest Management for Greenhouse CropsIntegrated Pest Management for Greenhouse Crops
Integrated Pest Management for Greenhouse Crops
 
Modelling to support rinderpest outbreaks preparedness
Modelling to support rinderpest outbreaks preparednessModelling to support rinderpest outbreaks preparedness
Modelling to support rinderpest outbreaks preparedness
 

Recently uploaded

mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfUmakantAnnand
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 

Recently uploaded (20)

mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.Compdf
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 

Common sampling techniques in insect pests

  • 1. COMMON SAMPLING TECHNIQUES IN INSECT PESTS SUBMITTED TO: DR. BILAL RASOOL SUBMITTED BY: ALI RAZA ISHAQ ROLL NO: 94030 CLASS BS (8TH EVE) GCUF
  • 3. INTRODUCTION: Pest ___ insect or other organisms that cause any damage to crop, stored produce or animal. Pest that cause less than 5% loss in yield, are said to be negligible. Pest that cause 5-10% loss in yield, are minor pests Pest that cause more than 10% loss in yield, are major pests.
  • 4. CATEGORIES OF INSECT PESTS There are the following categories of insect pest: Regular pests: Occasional Pests: Seasonal Pests: Persistent Pests: Sporadic Pests: Epidemic Pests: Endemic Pests: Exotic Pests:
  • 5. REGULAR PESTS • OCCUR MOST FREQUENTLY (REGULARLY) IN A CROP AND HAS CLOSE ASSOCIATION WITH CROP. • EXAMPLE’S • :CHILLI THRIPS • BRINJAL SHOOT • FRUIT BORER • SUGAR CANE BORERS.Chilli Thrips This Photo by Unknown Author is licensed under CC BY-SA
  • 6. OCCASIONAL PESTS: • THE PEST HAS CLOSE ASSOCIATION WITH A CROP. THEY OCCUR OCCASIONALLY. • FOR EXAMPLE • RICE CASE WORM • PADDY FLEA BEETLE This Photo by Unknown Author is licensed under CC BY-SA-NC Paddy Flea Beetle
  • 7. SEASONAL PESTS • RED HAIRY CATER PILLAR OCCUR MOSTLY DURING A PART OF THE YEAR, USUALLY THE INCIDENCE IS GOVERNED BY CLIMATIC CONDITIONS. This Photo by Unknown Author is licensed under CC BY
  • 8. PERSISTENT PESTS: • OCCUR ON A CROP PERSISTENTLY. • FOR EXAMPLE • SCALES • MEALY BUGS • COCKROACHES This Photo by Unknown Author is licensed under CC BY-SA
  • 9. SPORADIC PESTS: OCCASIONALLY CAUSING SERIOUS DAMAGE EXAMPLE PADDY LEAF ROLLER This Photo by Unknown Author is licensed under CC BY
  • 10. EPIDEMIC PEST EPIDEMIC MEANS ABUNDANCE, OUTBREAKS (SUDDEN INCREASE IN LARGE NUMBERS) OF A PEST IN EACH AREA AT GIVEN TIME. This Photo by Unknown Author is licensed under CC BY-SA
  • 11. ENDEMIC PESTS: ENDEMIC,MEAN BELONGING, OR NATIVE TO, PREVALENT IN AN AREA. ENDEMIC MEANS A PEST OCCURS CONTINUOUSLY AND WITH PREDICTABLE REGULARITY IN A SPECIFIC AREA OR POPULATION This Photo by Unknown Author is licensed under CC BY-SA Citrus Black Fly
  • 12. EXOTICE PESTS: NON-NATIVE OR NON-INDIGENOUS. PESTS NOT KNOWN TO OCCUR IN THE STATE OR COUNTRY
  • 13. PEST MONITORIN G Monitoring phytophagous insects and their natural enemies is a fundamental tool in IPM - for taking management decision Monitoring means estimation of changes in insect distribution and abundance. It also includes the information about insects, life history or influence of biotic and abiotic factors on pest population .
  • 14. PEST SURVEILLAN CE • SURVEILLANCE IS THE MONITORING OF THE BEHAVIOR, ACTIVITIES, OR OTHER CHANGING INFORMATION, USUALLY OF PEOPLE, INSECTS, AND PATHOGENS • THE WORD SURVEILLANCE COMES FROM THE FRENCH WORD FOR "WATCHING OVER". • IT IS SYSTEMATIC MONITORING OF PEST POPULATION, DISPERSION, AND DYNAMICS IN DIFFERENT CROP GROWTH PHASES TO FOREWARN THE FARMERS TO TAKE UP TIMELY REQUIRED CROP PROTECTION MEASURES. • PEST SURVEILLANCE CAN BE DONE USING THE • LIGHT TRAPS • PHEROMONE TRAPS • FOOD TRAPS • ATTRACTANTS • PITFALL TRAPS (FOR SOIL INSECTS), • FIELD SCOUTING
  • 15. IMPORTANCE AND ADVANTAGE S OF PEST SURVEILLAN CE: • USEFUL FOR PEST FORECASTING • HELP TO PLAN CROPPING PATTERN • HELP TO PLAN PEST MANAGEMENT PROGRAMMERS' • AIDS IN DEVELOPING MODELS, AND TO FIND-OUT THE THUMB RULE MODELS. • HELP IN APPLICATION OF INSECTICIDES (STAGE, DOSE, TYPE ETC.) • HELPS IN MAINTAINING STABILITY OF AGROECOSYSTEM
  • 16. COMPONEN TS REQUIRED FOR PEST SURVEILLAN CE: Identification of the Pest Distribution pattern, and prevalence of the Pest Severity of Pest Levels of incidence of the pest Losses due to pest incidence Population dynamics Weather parameters Data on Natural enemies
  • 17. BASIC COMPONEN TS FOR PEST CONTROL Three basic component a) The level of incidence of the pest species b) The loss caused by the incidence c) The economic benefits, the control will provide
  • 18. PEST FORECASTING Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A common place example might be estimation of the expected value for some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods.
  • 19. PEST FORECASTIN G • PEST FORECASTING IS THE SYSTEMATIC MONITORING OF PEST POPULATION, DISPERSION AND DYNAMICS IN DIFFERENT CROP GROWTH PHASES USING MODELS PREPARED BASED ON THE PREVIOUS DATA, TO FOREWARN THE FARMERS TO TAKE-UP TIMELY CROP PROTECTION MEASURES NEEDED. • PEST FORECASTING IS BASED ON THE MODELS DEVELOPED USING THE PREVIOUS DATA POINTS AND MANY ORGANIZATIONS ARE INVOLVED IN FORECASTING OF PEST INCIDENCES AND FOREWARNING ABOUT THE PEST OUTBREAKS.
  • 20. USES OF PEST FORECAS TING A) PREDICTING PEST OUTBREAK WHICH NEEDS CONTROL MEASURE B) SUITABLE STAGE AT WHICH CONTROL MEASURE GIVES MAXIMUM PROTECTION
  • 21. TYPES OF PEST FORECASTING • SHORT TERM FORECASTING • BASED ON 1 OR 2 SEASONS • THE PEST POPULATION IS SAMPLED FROM A AREA WITHIN A CROP USING APPROPRIATE SAMPLING TECHNIQUE AND THE RELATIONSHIP IS ESTABLISHED BETWEEN WEATHER DATA AND PROGRESS IN PEST INFESTATION. • LONG TERM FORECASTING • BASED ON EFFECT OF WEATHER PARAMETERS ON PEST • THE DATA ARE RECORDED OVER A NUMBER OF YEARS ON WIDE SEASONAL RANGE AND FROM DIFFERENT AREAS. LONG-TERM FORECASTING IS BASED ON KNOWLEDGE OF THE MAJOR ASPECTS OF THE PEST INSECT’S LIFE- CYCLE, AND OF HOW IT IS REGULATED.
  • 22. • TO KNOW EXISTING AND NEW PEST SPECIES • TO ASSESS PEST POPULATION AND DAMAGE AT DIFFERENT GROWTH STAGE OF CROP • TO STUDY THE INFLUENCE OF WEATHER PARAMETERS ON PEST • TO STUDY CHANGING PEST STATUS (MINOR TO MAJOR) • TO ASSESS NATURAL ENEMIES AND THEIR INFLUENCE ON PESTS’ EFFECT OF NEW CROPPING PATTERN AND VARIETIES ON PEST OBJECTIVES OF PEST SURVEILLANCE
  • 24. TYPES OF SURVEY: • Roving survey • Fixed plot survey There are two types of survey
  • 25. ROVING SURVEY • ASSESSMENT OF PEST POPULATION/DAMAGE FROM RANDOMLY SELECTED SPOTS REPRESENTING LARGER AREA. LARGE AREA SURVEYED IN SHORT PERIOD. PROVIDES INFORMATION ON PEST LEVEL OVER LARGE AREA
  • 26. FIXED PLOT SURVEY ASSESSMENT OF PEST POPULATION/DAMAGE FROM A FIXED PLOT SELECTED IN A FIELD. THE DATA ON PEST POPULATION/DAMAGE RECORDED PERIODIC FROM SOWING TILL HARVEST.
  • 30. ABSOLUTE SAMPLING • TO COUNT ALL THE PESTS OCCURRING IN A PLOT. ABSOLUTE METHODS ESTIMATE DENSITY FROM PRECISE AREA; USED TO COMPARE DENSITIES BASED ON AREA. POPULATION INDEX MEASURES PRODUCT OR EFFECT OF A POPULATION.
  • 31. • EXAMPLES: • VISUAL EXAMINATION • QUADRATE SAMPLING • SUCTION SAMPLING • ENCLOSURE DEVICES • EXTRACTION • EMERGENCE • AERIAL NETS
  • 32. VISUAL EXAMINATION • USED FOR DETECTING HOUSEHOLD AND STRUCTURAL PESTS, AND IMPORTANT WHERE THE INSECTS THAT MIGHT BE ENCOUNTERED ARE UNKNOWN, CRYPTIC, OR VARIABLE • DOGS AND ELECTRONIC DETECTOR ARE SOMETIMES USED TO FIND INVISIBLE TUNNELING LIKE THAT WHICH OCCURRED IN THIS WALL BASEBOARD, FOLLOWED BY VISUAL CONFIRMATION. VISUAL EXAMINATION IS OFTEN AN EFFECTIVE, IF TIME CONSUMING, WAY TO SAMPLE ARTHROPODS
  • 33. QUADRATE SAMPLING • A MITE BRUSHING MACHINE BRUSHES ITEMS FROM THE SURFACE OF LEAVES, PROPELLING THEM DOWNWARD ONTO A THIN FILM OF OIL THAT COATS A GLASS PLATE. THUS, IT IS POSSIBLE TO DETERMINE THE NUMBER OF MITES PER LEAF. QUADRATE SAMPLING DELINEATES AN EXACT AREA OF SAMPLING, THOUGH THE AREA NEED NOT REALLY BE 4-SIDED.
  • 34. LIVE TRAPS • IT IS THE COMBINATION OF ANIMAL POPULATION, DISEASE INCIDENCE AND INSECT VECTOR POPULATION THAT DETERMINES THE THREAT TO HUMANS. ARE USED TO CAPTURE SMALL ANIMALS SUCH AS RODENTS, WHICH THEN CAN BE EXAMINED FOR BOTH TICK AND FLEA VECTORS
  • 35. EMERGENCE TRAPS • USUALLY SUCH TRAPS TAKE ADVANTAGE OF THE INSECT’S TENDENCY TO MOVE TO LIGHT AND HAVE A CAPTURING OR KILLING MECHANISM AT THE TOP OF THE TRAP. OFTEN ARE USED TO CAPTURE INSECTS THAT LIVE BELOWGROUND OR UNDER WATER
  • 36. RELATIVE SAMPLIN G • TO MEASURE PEST IN TERMS OF SOME VALUES WHICH CAN BE COMPARED OVER TIME AND SPACE E.G. LIGHT TRAP CATCH, PHEROMONE TRAP. RELATIVE METHODS ESTIMATE DENSITY WITHOUT STRICT REGARD TO AREA SAMPLED; USED TO COMPARE AMONG EFFORTS BASED ON EFFORT. .
  • 37. EXAMPLES: • SWEEP NET • VACUUM TRAP • TIMED COUNTS • TRAPS • VISUAL • CHEMICAL • INTERCEPTION A PHEROMONE-BAITED TRAP LIKE THIS CAPTURES MOTHS WHEN THEY FLY AND CRAWL UPWARDS AND ARE CAPTURED IN THE CONTAINER ON TOP
  • 38. SWEEP NET • SWEEPING WITH A NET IS A VERY COMMON AND INEXPENSIVE METHOD OF SAMPLING. FLIGHT TRAPS COST SUBSTANTIALLY MORE AND ARE LIMITED TO FLYING INSECTS. This Photo by Unknown Author is licensed under CC BY
  • 39. VACUUM TRAP • VARIOUS VACUUM SAMPLERS ARE USED AND ARE OFTEN CALLED “DVACS” AFTER THE ORIGINAL MODEL. THEY ARE EFFICIENT, BUT COSTLY AND NOISY TO OPERATE. VACUUM SAMPLER IS USED TO VACUUM THE CONTENTS OF A BOX PLACED OVER SHRUBS. THIS EFFECTIVELY CONVERTS ITS OPERATION FROM A RELATIVE TO AN ABSOLUTE SAMPLING PROCEDURE. This Photo by Unknown Author is licensed under CC BY-SA-NC
  • 40. TRAPS
  • 41. Traps are widely used for insect sampling and monitoring. Light traps were more popular before the advent of pheromones. They have the advantage, and disadvantage, of being non-selective. They can be operated off battery or household current. Here the battery is being recharged by a solar panel.
  • 42. VISUAL TRAPS • A FRUIT MODEL MAKES A GOOD VISUAL TRAP, SUCH AS THIS GRAPEFRUIT MODEL. WHEN COVERED WITH ADHESIVE, • IT ALLOWS ESTIMATION OF ADULT NUMBERS. URBAN PEST CONTROL COMPANIES OFTEN USE STICKY TRAPS TO SAMPLE FOR INSECT PESTS IN COMMERCIAL ESTABLISHMENTS AND SCHOOLS. • THEY ARE NOT VISUALLY ATTRACTIVE (SOME WOULD DESCRIBE THEM AS DISGUSTING), SO THEY MUST BE PLACED IN OUT-OF-THE-WAY PLACES, SUCH AS STOREROOMS. • INSECTS STUCK IN ADHESIVE ARE MESSY AND CAN BE DIFFICULT TO REMOVE AND IDENTIFY. ALSO, SUCH TRAPS MAY NOT BE SELECTIVE This Photo by Unknown Author is licensed under CC BY-SA
  • 43. BUCKET TRAP • THE BUCKET TRAP AND WING TRAP INTRODUCE SELECTIVITY BY USING PHEROMONES AS LURES. This Photo by Unknown Author is licensed under CC BY-NC-ND
  • 44. PHEROMONE TRAPS • PHEROMONE TRAPS ARE POPULAR BECAUSE THEY PROVIDE SPECIFICITY, ARE COMMERCIALLY AVAILABLE, AND CAN BE USED UNDER A VARIETY OF CIRCUMSTANCES. • THOUGH PHEROMONE TRAPS USUALLY RELY ON ADHESIVE FOR INSECT RETENTION, THIS IS NOT ALWAYS OPTIMAL This Photo by Unknown Author is licensed under CC BY-NC
  • 45. MOSQUITO TRAP • QUITE VARIED, BUT OFTEN INVOLVE THE USE OF DRY ICE AS A SOURCE OF CARBON DIOXIDE, AND A SMALL FAN TO BLOW THE MOSQUITOES INTO A RECEPTACLE. This Photo by Unknown Author is licensed under CC BY-SA
  • 46. FLIGHT TRAP • FLIGHT TRAP, CALLED A MALAISE TRAP, IS AN EXAMPLE OF AN INTERCEPTION TRAP. • THERE IS NO ACTIVE ELEMENT TO THE TRAP, THEY ARE FLYING INSECTS ARE INTERCEPTED, CRAWL UPWARDS, AND ARE CAPTURED IN A JAR. • THE OTHER COMMON INTERCEPTION TECHNIQUE IS A TRANSPARENT PANE OF PLASTIC OR GLASS WHICH INTERRUPTS FLIGHT. INSECTS ARE CAPTURED ON ADHESIVE OR FALL INTO A RESERVOIR OR RECEPTACLE. This Photo by Unknown Author is licensed under CC BY-SA
  • 48. FOUR MAJOR TYPES OF PLANS Fixed sample size Sampling Sequential Sampling Variable-intensity Sampling Binomial Sampling
  • 49. FIXED SAMPLE SIZE • MOST COMMON APPROACH (E.G., “10”) THOUGH OPTIMAL SIZE CAN BE CALCULATED. OPTIMAL SAMPLE SIZE DECREASES WITH POPULATION DENSITY. • SHOULD BE ABLE TO GET BY WITH FEWER SAMPLES AT HIGH DENSITY.
  • 50. OPTIMAL SAMPLE SIZE • THERE ARE VARIOUS MEANS TO CALCULATE THE OPTIMAL SAMPLE SIZE IF YOU ELECT TO USE A FIXED SAMPLE. • YOU WANT TO BE SURE THAT YOU CAN BE SURE THAT YOU OBTAIN AN ACCURATE ASSESSMENT OF THE POPULATION. • N = S2 / E X • WHERE N IS THE NUMBER OF SAMPLES, S IS THE STANDARD DEVIATION, E IS THE PREDETERMINED STANDARD ERROR AS A DECIMAL OF THE MEAN (IN THIS CASE 0.05), X IS THE MEAN.
  • 51. SEQUENTI AL SAMPLING : • VARIABLE NUMBER OF SAMPLES TAKEN. SAMPLE UNTIL THE POPULATION CAN BE CLASSIFIED (E.G., NO THREAT OR CONTROL NEEDED). • MORE SAMPLING AT INTERMEDIATE LEVELS AND EFFICIENT SAMPLING METHOD.
  • 52. BINOMIAL SAMPLIN G • RELATIONSHIP BETWEEN % OF INFESTED SAMPLING UNITS (E.G. LEAVES) AT DIFFERENT PEST DENSITIES. TALLY NUMBER OF LEAVES INFESTED INSTEAD OF COUNTING PESTS. ESTIMATES UNRELIABLE WHEN INFESTATIONS ARE HIGH (≥ 80%) RECORDS PRESENCE OR ABSENCE; PROPORTION INFESTED OR DAMAGED DOES NOT TABULATE NUMBER OF INSECTS
  • 54. 1. IN SITU COUNTS • VISUAL OBSERVATION ON NUMBER OF INSECTS ON PLANT CANOPY (EITHER ENTIRE PLOT OR RANDOMLY SELECTED PLOT). • COUNTS OF INSECT/MITES OR DAMAGE DIRECTLY ON LEAVES, STEMS, FRUIT, ROOT. APHIDS, SCALE INSECTS’ MITES, LEAF MINERS, SMALL CATERPILLARS, LEAF HOPPERS, IMMATURE PSYLLA. 10X-20X HAND LENS USEFUL FOR THIS METHOD.
  • 55. KNOCK DOWN AND NETTING • COLLECTING INSECTS FROM AN AREA BY REMOVING FROM CROP AND (SUDDEN TRAP) COUNTING (JARRING) • IN THIS TECHNIQUE, USE OF SWEEP NET FOR HOPPERS, ODONATES, GRASSHOPPER
  • 56. NOR COTISED COLLECTION • QUICK MOVING INSECTS ANAESTHETIZED AND COUNTER
  • 57. STAGE OF SAMPLING • USUALLY MOST INJURIOUS STAGE COUNTED • SOMETIMES EGG MASSES COUNTED PRACTICAL CONSIDERATIONS • HOPPERS - NYMPHS AND ADULT COUNTED
  • 58. SAMPLE SIZE Differs with nature of pest and crop Parger sample size gives accurate results
  • 59. DECISION MAKING Population or damage assessed from the crop Compared with ETL and EIL When pest level crosses ETL, control measure must be taken to prevent pest from reducing EIL.
  • 60. ECONOMI C INJURY LEVEL • DEFINED AS THE LOWEST POPULATION DENSITY THAT WILL CAUSE ECONOMIC DAMAGE. IT CAN ALSO BE DEFINED AS A CRITICAL DENSITY WHERE THE LOSS CAUSED BY THE PEST EQUALS THE COST OF CONTROL MEASURE.
  • 61. EIL FORMULA • EIL = ____C________ V X I X D X K EIL = ECONOMIC INJURY LEVEL IN INSECTS/PRODUCTION (OR) INSECTS/HA C = COST OF MANAGEMENT ACTIVITY PER UNIT OF PRODUCTION (RS. /HA) V = MARKET VALUE PER UNIT OF YIELD OR PRODUCT (RS. /TONNE) I = CROP INJURY PER INSECT (PER CENT DEFOLIATION/INSECT) D = DAMAGE OR YIELD LOSS PER UNIT OF INJURY (TONNE LOSS/% DEFOLIATION) K = PROPORTIONATE REDUCTION IN INJURY FROM PESTICIDE USE
  • 62. MONITORIN G DEGREE DAYS • DETERMINE BEST TIME TO SAMPLE FOR OR CONTROL INSECTS/ MITES PARTICULAR INSECT/ MITE GROWTH STAGE. PREDICTS INSECT DEVELOPMENT BY ACCUMULATING HEAT UNITS (DEGREE DAYS).
  • 63. MONITORIN G DEGREE DAYS Biofix: When to begin accumulating degree days Calendar date or biological event (1st or peak flight). Threshold temperatures: Lower threshold: no development below this Upper threshold: no development above this Mean daily temperature: Tmax - Tmin /2
  • 64. SAMPLING TOOLS: Clipboard Keep all the scouting forms and field maps in one place. Field maps Jot notes, location pest problems and record observations Scouting forms Record sampling monitoring data, field history. Hand lens See and correctly identify pests, 10- 20x Pencils Carry a spare
  • 65. SAMPLING TOOLS Collection bags and vials –Send pest /damage samples to others Traps/ trap parts (lures) –There’s always a broken trap Camera –Send pest /damage photo to others for ID References –field guides, fact sheets, pictures of pests/damage GPS unit –relocate sample sites accurately Pocket knife Cutting shoots, scraping at trunks skinning berries. Shovel /sturdy trowel –digging soil
  • 66. CONCLUSIO N • IN SUMMARY, THE WIDESPREAD USE OF INSECTICIDES IS INEFFECTIVE AND ECONOMICALLY WASTEFUL IN THE LONG RUN. MANY INSECTICIDES DO IN FACT ACCOMPLISH THE INTENDED TASK OF CONTROLLING PEST POPULATIONS. HOWEVER, THEIR DETRIMENTAL HEALTH AND ENVIRONMENTAL EFFECTS MAKE THEM AN INADEQUATE LONG-TERM SOLUTION. IN ADDITION, MOST SYNTHETIC AND NATURAL PESTICIDES ARE SUSCEPTIBLE TO INEFFECTIVENESS DUE TO RESISTANCE BUILDUP IN INSECTS. THUS, THE ONLY VIABLE SOLUTION FOR THE FUTURE IS INTEGRATED PEST MANAGEMENT. THE ECONOMIC BENEFITS AND REDUCED SOCIAL COSTS OF THESE SYSTEMS PRESENT A LOGICAL ANSWER TO THE PEST CONTROL PROBLEM.
  • 67. This Photo by Unknown Author is licensed under CC BY-NC