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

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dc.contributor.authorDorman, Seth J.en
dc.contributor.authorTaylor, Sally V.en
dc.contributor.authorMalone, Seanen
dc.contributor.authorRoberts, Phillip M.en
dc.contributor.authorGreene, Jeremy K.en
dc.contributor.authorReisig, Dominic D.en
dc.contributor.authorSmith, Ronald H.en
dc.contributor.authorJacobson, Alana L.en
dc.contributor.authorReay-Jones, Francis P. F.en
dc.contributor.authorPaula-Moraes, Silvanaen
dc.contributor.authorHuseth, Anders S.en
dc.date.accessioned2022-01-21T15:09:29Zen
dc.date.available2022-01-21T15:09:29Zen
dc.date.issued2022-01-13en
dc.date.updated2022-01-20T15:24:32Zen
dc.description.abstractTarnished plant bug, <i>Lygus lineolaris</i> (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 <i>L. lineolaris</i> abundance. Variance component analysis determined field and within-field spatial scales, compared with agricultural district and state, accounted for more variation in <i>L. lineolaris</i> 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 <i>L. lineolaris</i> 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 (&lt;0.5 km from field edges) effects on <i>L. lineolaris</i> in cotton. The proportion of agricultural area and double-crop wheat and soybeans were positively associated with <i>L. lineolaris</i> density, and fields with more contiguous cotton areas negatively predicted <i>L. lineolaris</i> populations. These results will improve <i>L. lineolaris</i> monitoring programs and treatment management decisions in southeastern USA cotton.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationDorman, S.J.; Taylor, S.V.; Malone, S.; Roberts, P.M.; Greene, J.K.; Reisig, D.D.; Smith, R.H.; Jacobson, A.L.; Reay-Jones, F.P.F.; Paula-Moraes, S.; Huseth, A.S. Sampling Optimization and Crop Interface Effects on Lygus lineolaris Populations in Southeastern USA Cotton. Insects 2022, 13, 88.en
dc.identifier.doihttps://doi.org/10.3390/insects13010088en
dc.identifier.urihttp://hdl.handle.net/10919/107838en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectGossypium hirsutumen
dc.subjectrisk factorsen
dc.subjectsampling planen
dc.subjectscoutingen
dc.subjecttarnished plant bugen
dc.titleSampling Optimization and Crop Interface Effects on Lygus lineolaris Populations in Southeastern USA Cottonen
dc.title.serialInsectsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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Journal Articles, Multidisciplinary Digital Publishing Institute (MDPI)
Scholarly Works, Entomology
Scholarly Works, Virginia Agricultural Experiment Station