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Sampling Optimization and Crop Interface Effects on Lygus lineolaris Populations in Southeastern USA Cotton

Authors :
Seth J. Dorman
Sally V. Taylor
Sean Malone
Phillip M. Roberts
Jeremy K. Greene
Dominic D. Reisig
Ronald H. Smith
Alana L. Jacobson
Francis P. F. Reay-Jones
Silvana Paula-Moraes
Anders S. Huseth
Source :
Insects, Vol 13, Iss 1, p 88 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Tarnished plant bug, Lygus lineolaris (Hemiptera: Miridae), is an economically damaging pest in cotton production systems across the southern United States. We systematically scouted 120 commercial cotton fields across five southeastern states during susceptible growth stages in 2019 and 2020 to investigate sampling optimization and the effect of interface crop and landscape composition on L. lineolaris abundance. Variance component analysis determined field and within-field spatial scales, compared with agricultural district and state, accounted for more variation in L. lineolaris density using sweep net and drop cloth sampling. This result highlights the importance of field-level scouting efforts. Using within-field samples, a fixed-precision sampling plan determined 8 and 23 sampling units were needed to determine L. lineolaris population estimates with 0.25 precision for sweep net (100 sweeps per unit) and drop cloth (1.5 row-m per unit) sampling, respectively. A spatial Bayesian hierarchical model was developed to determine local landscape (L. lineolaris in cotton. The proportion of agricultural area and double-crop wheat and soybeans were positively associated with L. lineolaris density, and fields with more contiguous cotton areas negatively predicted L. lineolaris populations. These results will improve L. lineolaris monitoring programs and treatment management decisions in southeastern USA cotton.

Details

Language :
English
ISSN :
20754450
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Insects
Publication Type :
Academic Journal
Accession number :
edsdoj.4e62ae8a4acb42449aad9f75994f0b72
Document Type :
article
Full Text :
https://doi.org/10.3390/insects13010088