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Sampling Optimization and Crop Interface Effects on Lygus lineolaris Populations in Southeastern USA Cotton.
Dorman, Seth J; Taylor, Sally V; Malone, Sean; Roberts, Phillip M; Greene, Jeremy K; Reisig, Dominic D; Smith, Ronald H; Jacobson, Alana L; Reay-Jones, Francis P F; Paula-Moraes, Silvana; Huseth, Anders S.
Afiliação
  • Dorman SJ; Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695, USA.
  • Taylor SV; Forage Seed and Cereal Research Unit, U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS), Corvallis, OR 97331, USA.
  • Malone S; Department of Entomology, Virginia Tech, Tidewater Agricultural Research and Extension Center, Suffolk, VA 23437, USA.
  • Roberts PM; Department of Entomology, Virginia Tech, Tidewater Agricultural Research and Extension Center, Suffolk, VA 23437, USA.
  • Greene JK; Department of Entomology, University of Georgia Tifton Campus, Tifton, GA 31793, USA.
  • Reisig DD; Department of Plant and Environmental Sciences, Edisto Research and Education Center, Clemson University, Blackville, SC 29817, USA.
  • Smith RH; Department of Entomology and Plant Pathology, Vernon James Research and Extension Center, North Carolina State University, Plymouth, NC 27962, USA.
  • Jacobson AL; Department of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, USA.
  • Reay-Jones FPF; Department of Entomology and Plant Pathology, Auburn University, Auburn, AL 36849, USA.
  • Paula-Moraes S; Department of Plant and Environmental Sciences, Pee Dee Research and Education Center, Clemson University, Florence, SC 29501, USA.
  • Huseth AS; Entomology and Nematology Department, West Florida Research and Education Center, University of Florida, Jay, FL 32565, USA.
Insects ; 13(1)2022 Jan 13.
Article em En | MEDLINE | ID: mdl-35055931
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 (<0.5 km from field edges) effects on 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Insects Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Insects Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
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