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Associating Site Characteristics With Distributions of Pestiferous and Predaceous Arthropods in Soybean.
Greene, A Daniel; Reay-Jones, Francis P F; Kirk, Kendall R; Peoples, Brandon K; Greene, Jeremy K.
Afiliación
  • Greene AD; Department of Plant and Environmental Sciences, Edisto Research and Education Center, Clemson University, Blackville, SC.
  • Reay-Jones FPF; Department of Plant and Environmental Sciences, Pee Dee Research and Education Center, Clemson University, Florence, SC.
  • Kirk KR; Edisto Research and Education Center, Clemson University, Blackville, SC.
  • Peoples BK; Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC.
  • Greene JK; Department of Plant and Environmental Sciences, Edisto Research and Education Center, Clemson University, Blackville, SC.
Environ Entomol ; 50(2): 477-488, 2021 04 23.
Article en En | MEDLINE | ID: mdl-33480406
Although site-specific pest management has the potential to decrease control costs and environmental impact associated with traditional pest management tactics, the success of these programs relies on the accurate characterization of arthropod distributions within a crop. Because potential correlation of insect counts with remotely sensed field attribute data could help to decrease the costs associated with and need for fine-scale spatial sampling, we chose to determine which within-field variables would be informative of soybean arthropod counts in an attempt to move toward site-specific pest management in this crop. Two soybean fields were grid-sampled for pestiferous and predaceous arthropods, plant productivity estimates, and abiotic variable characterization in 2017-2018. Negative binomial, zero-inflated models were used to estimate presence and counts of soybean arthropod taxa based on normalized difference vegetation index (NDVI), soybean plant height, soil electrical conductivity (ECa), elevation, and calendar week. Among all variables, calendar week was the most reliable predictor of arthropod counts, as it was a significant predictor for a majority of all taxa. Additionally, counts for a majority of pestiferous taxa were significantly associated with distance from the field edge, elevation, soybean plant height, and NDVI. Although site-specific pest management has the potential for reduced management inputs and increased profitability over conventional management (i.e., whole-field) practices, management zones must first be clearly defined based on the within-field variability for the variables of interest. If site-specific pest management practices are to be applied in soybean, calendar week (and associated soybean phenology), soybean plant height (and associated elevation), and NDVI may be useful for describing the distributions of pests, such as kudzu bug, Megacopta cribraria (Hemiptera: Plataspidae) (Fabricius), green cloverworm, Hypena scabra (Lepidoptera: Erebidae) (Fabricius), velvetbean caterpillar, Anticarsia gemmatalis (Lepidoptera: Erebidae) (Hübner), and soybean looper, Chrysodeixis includens (Lepidoptera: Noctuidae) (Walker).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artrópodos / Heterópteros / Mariposas Nocturnas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Environ Entomol Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artrópodos / Heterópteros / Mariposas Nocturnas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Environ Entomol Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido