Development of binomial sequential sampling plans for forecasting listronotus maculicollis (Coleoptera: Curculionidae) larvae based on the relationship to adult counts and turfgrass damage

Benjamin A. Mcgraw, Albrecht M. Koppenhöfer

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Binomial sequential sampling plans were developed to forecast weevil Listronotus maculicollis Kirby (Coleoptera: Curculionidae), larval damage to golf course turfgrass and aid in the development of integrated pest management programs for the weevil. Populations of emerging overwintered adults were sampled over a 2-yr period to determine the relationship between adult counts, larval density, and turfgrass damage. Larval density and composition of preferred host plants (Poa annua L.) significantly affected the expression of turfgrass damage. Multiple regression indicates that damage may occur in moderately mixed P. annua stands with as few as 10 larvae per 0.09 m 2. However, >150 larvae were required before damage became apparent in pure Agrostis stolonifera L. plots. Adult counts during peaks in emergence as well as cumulative counts across the emergence period were significantly correlated to future densities of larvae. Eight binomial sequential sampling plans based on two tally thresholds for classifying infestation (T = 1 and two adults) and four adult density thresholds (0.5, 0.85, 1.15, and 1.35 per 3.34 m 2) were developed to forecast the likelihood of turfgrass damage by using adult counts during peak emergence. Resampling for validation of sample plans software was used to validate sampling plans with field-collected data sets. All sampling plans were found to deliver accurate classifications (correct decisions were made between 84.4 and 96.8%) in a practical timeframe (average sampling cost <22.7 min).

Original languageEnglish (US)
Pages (from-to)1325-1335
Number of pages11
JournalJournal of economic entomology
Volume102
Issue number3
DOIs
StatePublished - Jun 1 2009

Fingerprint

Listronotus
turf grasses
Curculionidae
Coleoptera
larva
damage
larvae
sampling
eclosion
Poa annua
development aid
golf course
Agrostis stolonifera
golf courses
integrated pest management
host plant
multiple regression
plan
aid
host plants

All Science Journal Classification (ASJC) codes

  • Ecology
  • Insect Science

Cite this

@article{76b4b4f8449d4ab79aa4f7b724a900ea,
title = "Development of binomial sequential sampling plans for forecasting listronotus maculicollis (Coleoptera: Curculionidae) larvae based on the relationship to adult counts and turfgrass damage",
abstract = "Binomial sequential sampling plans were developed to forecast weevil Listronotus maculicollis Kirby (Coleoptera: Curculionidae), larval damage to golf course turfgrass and aid in the development of integrated pest management programs for the weevil. Populations of emerging overwintered adults were sampled over a 2-yr period to determine the relationship between adult counts, larval density, and turfgrass damage. Larval density and composition of preferred host plants (Poa annua L.) significantly affected the expression of turfgrass damage. Multiple regression indicates that damage may occur in moderately mixed P. annua stands with as few as 10 larvae per 0.09 m 2. However, >150 larvae were required before damage became apparent in pure Agrostis stolonifera L. plots. Adult counts during peaks in emergence as well as cumulative counts across the emergence period were significantly correlated to future densities of larvae. Eight binomial sequential sampling plans based on two tally thresholds for classifying infestation (T = 1 and two adults) and four adult density thresholds (0.5, 0.85, 1.15, and 1.35 per 3.34 m 2) were developed to forecast the likelihood of turfgrass damage by using adult counts during peak emergence. Resampling for validation of sample plans software was used to validate sampling plans with field-collected data sets. All sampling plans were found to deliver accurate classifications (correct decisions were made between 84.4 and 96.8{\%}) in a practical timeframe (average sampling cost <22.7 min).",
author = "Mcgraw, {Benjamin A.} and Koppenh{\"o}fer, {Albrecht M.}",
year = "2009",
month = "6",
day = "1",
doi = "10.1603/029.102.0360",
language = "English (US)",
volume = "102",
pages = "1325--1335",
journal = "Journal of Economic Entomology",
issn = "0022-0493",
publisher = "Entomological Society of America",
number = "3",

}

TY - JOUR

T1 - Development of binomial sequential sampling plans for forecasting listronotus maculicollis (Coleoptera

T2 - Curculionidae) larvae based on the relationship to adult counts and turfgrass damage

AU - Mcgraw, Benjamin A.

AU - Koppenhöfer, Albrecht M.

PY - 2009/6/1

Y1 - 2009/6/1

N2 - Binomial sequential sampling plans were developed to forecast weevil Listronotus maculicollis Kirby (Coleoptera: Curculionidae), larval damage to golf course turfgrass and aid in the development of integrated pest management programs for the weevil. Populations of emerging overwintered adults were sampled over a 2-yr period to determine the relationship between adult counts, larval density, and turfgrass damage. Larval density and composition of preferred host plants (Poa annua L.) significantly affected the expression of turfgrass damage. Multiple regression indicates that damage may occur in moderately mixed P. annua stands with as few as 10 larvae per 0.09 m 2. However, >150 larvae were required before damage became apparent in pure Agrostis stolonifera L. plots. Adult counts during peaks in emergence as well as cumulative counts across the emergence period were significantly correlated to future densities of larvae. Eight binomial sequential sampling plans based on two tally thresholds for classifying infestation (T = 1 and two adults) and four adult density thresholds (0.5, 0.85, 1.15, and 1.35 per 3.34 m 2) were developed to forecast the likelihood of turfgrass damage by using adult counts during peak emergence. Resampling for validation of sample plans software was used to validate sampling plans with field-collected data sets. All sampling plans were found to deliver accurate classifications (correct decisions were made between 84.4 and 96.8%) in a practical timeframe (average sampling cost <22.7 min).

AB - Binomial sequential sampling plans were developed to forecast weevil Listronotus maculicollis Kirby (Coleoptera: Curculionidae), larval damage to golf course turfgrass and aid in the development of integrated pest management programs for the weevil. Populations of emerging overwintered adults were sampled over a 2-yr period to determine the relationship between adult counts, larval density, and turfgrass damage. Larval density and composition of preferred host plants (Poa annua L.) significantly affected the expression of turfgrass damage. Multiple regression indicates that damage may occur in moderately mixed P. annua stands with as few as 10 larvae per 0.09 m 2. However, >150 larvae were required before damage became apparent in pure Agrostis stolonifera L. plots. Adult counts during peaks in emergence as well as cumulative counts across the emergence period were significantly correlated to future densities of larvae. Eight binomial sequential sampling plans based on two tally thresholds for classifying infestation (T = 1 and two adults) and four adult density thresholds (0.5, 0.85, 1.15, and 1.35 per 3.34 m 2) were developed to forecast the likelihood of turfgrass damage by using adult counts during peak emergence. Resampling for validation of sample plans software was used to validate sampling plans with field-collected data sets. All sampling plans were found to deliver accurate classifications (correct decisions were made between 84.4 and 96.8%) in a practical timeframe (average sampling cost <22.7 min).

UR - http://www.scopus.com/inward/record.url?scp=68149171534&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=68149171534&partnerID=8YFLogxK

U2 - 10.1603/029.102.0360

DO - 10.1603/029.102.0360

M3 - Article

C2 - 19610454

AN - SCOPUS:68149171534

VL - 102

SP - 1325

EP - 1335

JO - Journal of Economic Entomology

JF - Journal of Economic Entomology

SN - 0022-0493

IS - 3

ER -