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Detecting sorghum aphid infestation in grain sorghum using leaf spectral response.
Craigie, Grace; Hefley, Trevor; Grijalva, Ivan; Ciampitti, Ignacio A; Goodin, Douglas G; McCornack, Brian.
Afiliação
  • Craigie G; Department of Entomology, Kansas State University, Manhattan, KS, 66506, USA.
  • Hefley T; Department of Statistics, Kansas State University, Manhattan, KS, 66506, USA.
  • Grijalva I; Department of Entomology, Kansas State University, Manhattan, KS, 66506, USA. grijalva@ksu.edu.
  • Ciampitti IA; Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA.
  • Goodin DG; Department of Geography and Geospatial Sciences, Kansas State University, Manhattan, KS, 66506, USA.
  • McCornack B; Department of Entomology, Kansas State University, Manhattan, KS, 66506, USA.
Sci Rep ; 14(1): 14053, 2024 06 18.
Article em En | MEDLINE | ID: mdl-38890375
ABSTRACT
Sorghum aphid, Melanaphis sorghi (Theobald) have become a major economic pest in sorghum causing 70% yield loss without timely insecticide applications. The overarching goal is to develop a monitoring system for sorghum aphids using remote sensing technologies to detect changes in plant-aphid density interactions, thereby reducing scouting time. We studied the effect of aphid density on sorghum spectral responses near the feeding site and on distal leaves from infestation and quantified potential systemic effects to determine if aphid feeding can be detected. A leaf spectrometer at 400-1000 nm range was used to measure reflectance changes by varying levels of sorghum aphid density on lower leaves and those distant to the caged infestation. Our study results demonstrate that sorghum aphid infestation can be determined by changes in reflected light, especially between the green-red range (550-650 nm), and sorghum plants respond systemically. This study serves as an essential first step in developing more effective pest monitoring systems for sorghum aphids, as leaf reflection sensors can be used to identify aphid feeding regardless of infestation location on the plant. Future research should address whether such reflectance signatures can be detected autonomously using small unmanned aircraft systems or sUAS equipped with comparable sensor technologies.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Afídeos / Folhas de Planta / Sorghum Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Afídeos / Folhas de Planta / Sorghum Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article