EARLY-SEASON MIGRATORY FLIGHTS OF CORN-EARWORM (LEPIDOPTERA, NOCTUIDAE)

Citation
Jk. Westbrook et al., EARLY-SEASON MIGRATORY FLIGHTS OF CORN-EARWORM (LEPIDOPTERA, NOCTUIDAE), Environmental entomology, 26(1), 1997, pp. 12-20
Citations number
17
Categorie Soggetti
Agriculture,Entomology
Journal title
ISSN journal
0046225X
Volume
26
Issue
1
Year of publication
1997
Pages
12 - 20
Database
ISI
SICI code
0046-225X(1997)26:1<12:EMFOC(>2.0.ZU;2-G
Abstract
Studies were conducted to determine the frequency, intensity, and disp lacement of migratory flights of adult corn earworm, Helicoverpa zea ( Boddie), form the lower Rio Grande Valley of southern Texas and northe astern Mexico during the citrus blooming period in February and March 1994. Samples of daily collections of adult male H. zea from pheromone traps in the valley (10) and southern Texas (21) were examined for th e presence of citrus pollen using scanning electron microscopy. H. zea were captured at all locations except Alpine, TX. Based on samples of the daily collections, citrus pollen-contaminated H, tea were capture d as far as 661 km from the valley. However, the valley is the nearest source of commercial citrus production. Insect flight trajectories fr om the valley were estimated using wind velocity data at 500 m above g round level and an assumed insect air speed of 5 m/s. Probability of d aily capture of H. tea at locations that were 112-711 km from the vall ey were significantly related to duration of the estimated insect flig ht trajectory; minimum dr temperature at the trap location; and daily average trap capture in the valley. The independent variables: duratio n of estimated insect flight trajectory, duration of estimated insect trap location, and the 1-d lag of minimum air temperature at the fligh t trajectory were significantly related to the daily capture of citrus pollen-contaminated H. tea. Wind trajectories measured by mylar ballo ons (tetroons) and hourly weather data (i.e., wind, precipitation, and air temperature) may explain some of the residual variance of the log istic regressions. The logistic regression equations can be used to es timate the probability of occurrence of daily capture of corn earworm for use as an advisory to agriculturists, regulatory personnel, and re search scientists.