Fixed-Precision Sequential Sampling Plans for Estimating Alfalfa Caterpillar,Colias lesbia, Egg Density in Alfalfa,Medicago sativa, Fields in Córdoba, Argentina
Author(s) -
Gerardo Serra,
Norma C. La Porta,
Susana Valencia Ávalos,
V. Mazzuferi
Publication year - 2013
Publication title -
journal of insect science
Language(s) - English
Resource type - Journals
ISSN - 1536-2442
DOI - 10.1673/031.013.4101
Subject(s) - biology , sampling (signal processing) , medicago sativa , pest analysis , integrated pest management , agronomy , statistics , mathematics , botany , computer science , filter (signal processing) , computer vision
The alfalfa caterpillar, Colias lesbia (Fabricius) (Lepidoptera: Pieridae), is a major pest of alfalfa, Medicago sativa L. (Fabales: Fabaceae), crops in Argentina. Its management is based mainly on chemical control of larvae whenever the larvae exceed the action threshold. To develop and validate fixed-precision sequential sampling plans, an intensive sampling programme for C. lesbia eggs was carried out in two alfalfa plots located in the Province of Córdoba, Argentina, from 1999 to 2002. Using Resampling for Validation of Sampling Plans software, 12 additional independent data sets were used to validate the sequential sampling plan with precision levels of 0.10 and 0.25 (SE/mean), respectively. For a range of mean densities of 0.10 to 8.35 eggs/sample, an average sample size of only 27 and 26 sample units was required to achieve a desired precision level of 0.25 for the sampling plans of Green and Kuno, respectively. As the precision level was increased to 0.10, average sample size increased to 161 and 157 sample units for the sampling plans of Green and Kuno, respectively. We recommend using Green's sequential sampling plan because it is less sensitive to changes in egg density. These sampling plans are a valuable tool for researchers to study population dynamics and to evaluate integrated pest management strategies.
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