Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractInsect-attracting and antimicrobial properties of antifreeze for monitoring insect pests and natural enemies in stored corn    Next AbstractCharacterization of odorous charge and photochemical reactivity of VOC emissions from a full-scale food waste treatment plant in China »

Insect Sci


Title:Monitoring of brown stink bug (Hemiptera: Pentatomidae) population dynamics in corn to predict its abundance using weather data
Author(s):Ni X; Cottrell TE; Buntin GD; Li X; Wang W; Zhuang H;
Address:"USDA-ARS, Crop Genetics and Breeding Research Unit, Tifton, Georgia, USA. USDA-ARS, Southeastern Fruit and Tree Nut Research Laboratory, Byron, Georgia, USA. Department of Entomology, University of Georgia, Griffin, Georgia, USA. Department of Entomology, University of Arizona, Tucson, Arizona, USA. College of Engineering, China Agricultural University, Beijing, China. USDA-ARS, Quality and Safety Assessment Research Unit, Athens, Georgia, USA"
Journal Title:Insect Sci
Year:2019
Volume:20171205
Issue:3
Page Number:536 - 544
DOI: 10.1111/1744-7917.12545
ISSN/ISBN:1744-7917 (Electronic) 1672-9609 (Linking)
Abstract:"The brown stink bug (BSB), Euschistus servus (Say) (Hemiptera: Pentatomidae), is a serious economic pest of corn production in the southeastern United States. The BSB population dynamics was monitored for 17 weeks from tasseling to preharvest of corn plants (i.e., late May to mid-September) using pheromone traps in three corn fields from 2005 to 2009. The trap data showed two peaks in early June and mid-August, respectively. The relationship between trap catch and pregrowing season weather data was examined using correlation and stepwise multiple factor regression analyses. Weather indices used for the analyses were accumulated growing degree day (AGDD), number of days with minimum temperature below 0 degrees C (Subz), accumulated daily maximum (AMaxT) and minimum temperatures (AMinT) and rainfall (ARain). The weather indices were calculated with lower (10 degrees C) and upper (35 degrees C) as biological thresholds. The parameters used in regression analysis were seasonal abundance (or overall mean of BSB adult catch) (BSBm), number of BSB adults caught at a peak (PeakBSB), and peak week (Peakwk). The BSBm was negatively related to high temperature (AmaxT or AGDD) consistently, whereas 1stPeakBSB was positively correlated to both ARain and Subz, irrespective of weather data durations (the first 4, 4.5, and 5 months). In contrast, the 7-month weather data (AGDD7) were negatively correlated to the BSBm only, but not correlated to the second PeakBSB. The 5-year monitoring study demonstrated that weather data can be used to predict the BSB abundance at its first peak in tasseling corn fields in the southeastern U.S. states"
Keywords:Animals *Heteroptera Linear Models Pheromones Population Dynamics Weather Zea mays Euschistus servus first trap catch peak pheromone trap catch stepwise regression modeling weekly mean;
Notes:"MedlineNi, Xinzhi Cottrell, Ted E Buntin, G David Li, Xianchun Wang, Wei Zhuang, Hong eng Validation Study Australia 2017/10/14 Insect Sci. 2019 Jun; 26(3):536-544. doi: 10.1111/1744-7917.12545. Epub 2017 Dec 5"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 17-11-2024