Km. Heinz et We. Chaney, SAMPLING FOR LIRIOMYZA-HUIDOBRENSIS (DIPTERA, AGROMYZIDAE) LARVAE ANDDAMAGE IN CELERY, Environmental entomology, 24(2), 1995, pp. 204-211
A sampling plan to estimate population levels of Liriomyza huidobrensi
s (Blanchard) larvae and total mining damage was developed for use in
celery. Dispersion indices from Taylor's power law were calculated fro
m 1992 data obtained from whole plant samples collected from commercia
l Fields at two times during the cropping season and utilizing one of
three different leafminer management strategies. Analysis of covarianc
e indicated that variance-to-mean relationships were consistent among
petiole position among plants, pest management strategies, and time of
growing season for live L. huidobrensis larvae and total numbers of m
ines per petiole. In an attempt to develop a presence-absence sampling
plan, an equation was derived to relate the proportion of petioles in
fested, P(I), to the mean number of live larvae or the mean number of
mines per petiole. However, predicted frequencies of infested petioles
derived from this equation were significantly greater than the freque
ncies of petioles infested with live larvae or infested with mines obs
erved in validation studies. This lack of fit between predicted and ex
pected frequencies precludes use of a presence-absence sampling plan t
o predict mean densities from the proportion of leaves infested. The r
esults From Taylor's dispersion analysis were also used to evaluate a
constant precision-level sampling: plan. Validation tests of this samp
ling plan indicated that the formula used to calculate critical stopli
nes accurately predicted the observed cumulative totals of live larvae
or total numbers of mines. Implementation of a sequential sampling pl
an for L. huidobrensis larvae with a 0.25 level of precision rind with
a possible maximum sample size of 100 petioles (re, compensate for th
e prohibitively large sample sizes necessary at low densities) should
greatly reduce the amount of labor necessary to achieve accurate estim
ates of population densities and to facilitate the use of action thres
holds based upon these estimates.