Data of a study of sex pheromone detection by females of the oriental fruit moth, Grapholita molesta

DOI

The study explores if female Grapholita molesta moths can detect its own sex pheromone. The approach involves electroantennography (EAG), single -sensillum recordings (SSR), analyzed with non-linear dose-response and hierarchical cluster analysis.

The excel file contains the data, the word file contains the R code. The data are from 3 different experiments. Experiment 1 is the electroantennographic (EAG) response of male and female Grapholita molesta adults to the female sex pheromone components, Z8-12:Ac and E8-12:Ac. Experiment 2 are single-sensillum recordings (SSR) of Z- and E-ORNs from males to the major and minor sex pheromone compounds of females. The EAG and SSR were analyzed with non-linear dose-response curves. In experiment 3, male and female ORNs were challenged with two doses of the major and minor female sex pheromone compounds, a plant volatile blend and the male-produced hairpencil courtship pheromone. The results of experiment 3 were analyzed with hierarchical cluster analysis. The R code is for descriptive statistics (means, and such), predictive statistics (GLMs and such) and graphs and in addition to the code there are indications for teh different steps, plus selected output .

Data for submission of research manuscript.

Identifier
DOI https://doi.org/10.34810/data152
Related Identifier IsCitedBy https://doi.org/10.1038/s41598-022-10954-x
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data152
Provenance
Creator Gemeno Marín, César ORCID logo; Perez-Aparicio, Alicia ORCID logo; Ammagarahalli, Byrappa ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Gemeno Marín, César
Publication Year 2022
Funding Reference Ministerio de Educación y Ciencia, Spain (MEYC) AGL2016-77373-C2-2-R
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Gemeno Marín, César (Universitat de Lleida. Agrotecnio-Cerca Center)
Representation
Resource Type Other; Dataset
Format text/tab-separated-values; application/vnd.openxmlformats-officedocument.wordprocessingml.document; text/plain
Size 26114; 644801; 9603
Version 1.0
Discipline Life Sciences; Medicine