1. ZHAW digitalcollection
  2. Life Sciences und Facility Management
  3. Publikationen
  4. Publikationen Life Sciences und Facility Management
Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3248
Full metadata record
DC FieldValueLanguage
dc.contributor.authorOlsen, Niels Lundtorp-
dc.contributor.authorHerren, Pascal-
dc.contributor.authorMarkussen, Bo-
dc.contributor.authorJensen, Annette Bruun-
dc.contributor.authorEilenberg, Jørgen-
dc.date.accessioned2019-05-23T14:56:23Z-
dc.date.available2019-05-23T14:56:23Z-
dc.date.issued2019-
dc.identifier.issn1932-6203de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17178-
dc.description.abstractEntomophthoralean fungi are insect pathogenic fungi and are characterized by their active discharge of infective conidia that infect insects. Our aim was to study the effects of temperature on the discharge and to characterize the variation in the associated temporal pattern of a newly discovered Pandora species with focus on peak location and shape of the discharge. Mycelia were incubated at various temperatures in darkness, and conidial discharge was measured over time. We used a novel modification of a statistical model (pavpop), that simultaneously estimates phase and amplitude effects, into a setting of generalized linear models. This model is used to test hypotheses of peak location and discharge of conidia. The statistical analysis showed that high temperature leads to an early and fast decreasing peak, whereas there were no significant differences in total number of discharged conidia. Using the proposed model we also quantified the biological variation in the timing of the peak location at a fixed temperature.de_CH
dc.language.isoende_CH
dc.publisherPublic Library of Sciencede_CH
dc.relation.ispartofPLOS ONEde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectConidiade_CH
dc.subjectStatistical analysisde_CH
dc.subjectEntomophthoralesde_CH
dc.subjectPandorade_CH
dc.subjectConidial dischargede_CH
dc.subjectBiocontrolde_CH
dc.subject.ddc570: Biologiede_CH
dc.titleStatistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora speciesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Umwelt und Natürliche Ressourcen (IUNR)de_CH
dc.identifier.doi10.21256/zhaw-3248-
dc.identifier.doi10.1371/journal.pone.0215914de_CH
zhaw.funding.euNode_CH
zhaw.issue5de_CH
zhaw.originated.zhawNode_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume14de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedPhytomedizinde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
File Description SizeFormat 
journal.pone.0215914.pdfStatistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species2.34 MBAdobe PDFThumbnail
View/Open
Show simple item record
Olsen, N. L., Herren, P., Markussen, B., Jensen, A. B., & Eilenberg, J. (2019). Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species. Plos One, 14(5). https://doi.org/10.21256/zhaw-3248
Olsen, N.L. et al. (2019) ‘Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species’, PLOS ONE, 14(5). Available at: https://doi.org/10.21256/zhaw-3248.
N. L. Olsen, P. Herren, B. Markussen, A. B. Jensen, and J. Eilenberg, “Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species,” PLOS ONE, vol. 14, no. 5, 2019, doi: 10.21256/zhaw-3248.
OLSEN, Niels Lundtorp, Pascal HERREN, Bo MARKUSSEN, Annette Bruun JENSEN und Jørgen EILENBERG, 2019. Statistical modelling of conidial discharge of entomophthoralean fungi using a newly discovered Pandora species. PLOS ONE. 2019. Bd. 14, Nr. 5. DOI 10.21256/zhaw-3248
Olsen, Niels Lundtorp, Pascal Herren, Bo Markussen, Annette Bruun Jensen, and Jørgen Eilenberg. 2019. “Statistical Modelling of Conidial Discharge of Entomophthoralean Fungi Using a Newly Discovered Pandora Species.” Plos One 14 (5). https://doi.org/10.21256/zhaw-3248.
Olsen, Niels Lundtorp, et al. “Statistical Modelling of Conidial Discharge of Entomophthoralean Fungi Using a Newly Discovered Pandora Species.” Plos One, vol. 14, no. 5, 2019, https://doi.org/10.21256/zhaw-3248.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.