Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 14 von 849

Details

Autor(en) / Beteiligte
Titel
Spatial Distribution of Euschistus heros (Hemiptera: Pentatomidae) in Cotton (Gossypium hirsutum Linnaeus)
Ist Teil von
  • Anais da Academia Brasileira de Ciências, 2018-10, Vol.90 (4), p.3483-3491
Ort / Verlag
Brazil: Academia Brasileira de Ciências
Erscheinungsjahr
2018
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • Recently, the Neotropical brown stink bug, Euschistus heros (Pentatomidae: Hemiptera), has been detected in cotton in the Brazilian Cerrado. Several reliable surveys have been conducted on the spatial distribution of stink bugs in soybean; however, few studies have examined the behavior of this insect in cotton in Brazil. Thus, this study examined the spatial distribution of E. heros in cotton using aggregation indices based on the variance-to-mean ratio, Morisita index, exponent k, Poisson and negative binomial distributions. Inverse Distance Weighting interpolation maps were also used to represent insect density. The study was conducted in a 1.1 hectare experimental cotton field in which 64 equally-sized plots were sampled on a weekly basis. Our findings revealed that stink bugs presented an aggregate distribution in 2 sampling weeks based on aggregation indices, and this pattern was best described by a negative binomial distribution. Maps showing the density of pests can be an important tool for sampling pests in crops and control measures in early stages of infestation, when there is an edge effect on the distribution of E. heros, can be an efficient strategy in cotton.
Sprache
Englisch; Portugiesisch
Identifikatoren
ISSN: 0001-3765, 1678-2690
eISSN: 1678-2690
DOI: 10.1590/0001-3765201820170396
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_f3583169a7114d4d8f3b6d75ecff0c64

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX