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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
A metabarcoding tool to detect predation of the honeybee Apis mellifera and other wild insects by the invasive Vespa velutina

Participants in the publication
Maria João Verdasca (Author)
Raquel Godinho (Author)
Rita Gomes Rocha (Author)
Marco Portocarrero (Author)
Luísa Gigante Carvalheiro (Author)
Rui Rebelo (Author)
Dep. Biologia Animal
cE3c
Hugo Rebelo (Author)

Date of Publication
2022-03

Where published
Journal of Pest Science

Publication Identifiers
ISSN - 1612-4758

Publisher
Springer Science and Business Media LLC

Volume
95
Number
2

Number of pages
11
Starting page
997
Last page
1007

Document Identifiers
DOI - https://doi.org/10.1007/s10340-021-01401-3
URL - http://dx.doi.org/10.1007/s10340-021-01401-3

Rankings
SCIMAGO Q1 (2020) - 1.512 - Agronomy and Crop Science

Keywords
Apis mellifera Diet analysis DNA metabarcoding Invasive species Taxon-specific primers Vespa velutina


Export

APA
Maria João Verdasca, Raquel Godinho, Rita Gomes Rocha, Marco Portocarrero, Luísa Gigante Carvalheiro, Rui Rebelo, Hugo Rebelo, (2022). A metabarcoding tool to detect predation of the honeybee Apis mellifera and other wild insects by the invasive Vespa velutina. Journal of Pest Science, 95, 997-1007. ISSN 1612-4758. eISSN . http://dx.doi.org/10.1007/s10340-021-01401-3

IEEE
Maria João Verdasca, Raquel Godinho, Rita Gomes Rocha, Marco Portocarrero, Luísa Gigante Carvalheiro, Rui Rebelo, Hugo Rebelo, "A metabarcoding tool to detect predation of the honeybee Apis mellifera and other wild insects by the invasive Vespa velutina" in Journal of Pest Science, vol. 95, pp. 997-1007, 2022. 10.1007/s10340-021-01401-3

BIBTEX
@article{54176, author = {Maria João Verdasca and Raquel Godinho and Rita Gomes Rocha and Marco Portocarrero and Luísa Gigante Carvalheiro and Rui Rebelo and Hugo Rebelo}, title = {A metabarcoding tool to detect predation of the honeybee Apis mellifera and other wild insects by the invasive Vespa velutina}, journal = {Journal of Pest Science}, year = 2022, pages = {997-1007}, volume = 95 }