Sangam: A Confluence of Knowledge Streams

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

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dc.creator Dorman, Seth J.
dc.creator Taylor, Sally V.
dc.creator Malone, Sean
dc.creator Roberts, Phillip M.
dc.creator Greene, Jeremy K.
dc.creator Reisig, Dominic D.
dc.creator Smith, Ronald H.
dc.creator Jacobson, Alana L.
dc.creator Reay-Jones, Francis P. F.
dc.creator Paula-Moraes, Silvana
dc.creator Huseth, Anders S.
dc.date 2022-01-21T15:09:29Z
dc.date 2022-01-21T15:09:29Z
dc.date 2022-01-13
dc.date 2022-01-20T15:24:32Z
dc.date.accessioned 2023-03-01T18:53:46Z
dc.date.available 2023-03-01T18:53:46Z
dc.identifier Dorman, 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.
dc.identifier http://hdl.handle.net/10919/107838
dc.identifier https://doi.org/10.3390/insects13010088
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281762
dc.description Tarnished 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.
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en
dc.publisher MDPI
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.title Sampling Optimization and Crop Interface Effects on Lygus lineolaris Populations in Southeastern USA Cotton
dc.title Insects
dc.type Article - Refereed
dc.type Text


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