about
Metagenomic characterization of airborne viral DNA diversity in the near-surface atmospherePrioritizing risks and uncertainties from intentional release of selected Category A pathogensIncreased robustness of single-molecule counting with microfluidics, digital isothermal amplification, and a mobile phone versus real-time kinetic measurements.Coupling Spore Traps and Quantitative PCR Assays for Detection of the Downy Mildew Pathogens of Spinach (Peronospora effusa) and Beet (P. schachtii).Rapid detection of Ceratocystis platani inoculum by quantitative real-time PCR assay.Combining novel monitoring tools and precision application technologies for integrated high-tech crop protection in the future (a discussion document).Mushroom Emergence Detected by Combining Spore Trapping with Molecular Techniques.Modification of a Pollen Trap Design To Capture Airborne Conidia of Entomophaga maimaiga and Detection of Conidia by Quantitative PCR.Environmental DNA metabarcoding: Transforming how we survey animal and plant communities.A method for the direct detection of airborne dispersal in lichens.Assessing performance of spore samplers in monitoring aeromycobiota and fungal plant pathogen diversity in Canada.Rain-induced ejection of pathogens from leaves: revisiting the hypothesis of splash-on-film using high-speed visualization.Assessing airborne fungal communities by high-throughput sequencing using passive traps.Development of a quantitative loop-mediated isothermal amplification assay for the field detection of Erysiphe necator.Advances in plant disease and pest managementDetection and quantification of airborne inoculum of Blumeria graminis f. sp. tritici using quantitative PCRA worldwide perspective on the management and control of Dothistroma needle blightBioaerosol Science, Technology, and Engineering: Past, Present, and Future
P2860
Q28387598-7379406B-4721-4F9C-82D3-C66C2B7495FEQ28397363-B0E0DC06-CF83-47A9-9EBF-DABB8A1E594DQ30571907-6590604C-98B5-4DA1-9D70-1C78276A4560Q36826743-8BA71A9E-A1FC-4E80-8FB6-F6BEA838A563Q37123031-0F51B7A7-AC88-4950-955F-CF739D59114FQ37858934-F64EC771-7C3F-47D0-BBD8-6BF51A67574EQ38825837-6CE50320-5BDE-4F88-8206-35E594427E1FQ40155400-53883A23-16D6-432F-A827-9FD551BBC27FQ45950686-D28F5DFD-3C13-47A2-BFC5-E7DB4D5FD45AQ46270841-1ACD8210-C214-422B-8342-415DAC66970AQ50240074-892656B6-DF6C-4D86-81C1-1853301EB859Q51841928-8DDE3CA6-EF3C-46B0-8D7F-3F790B5CA661Q52639529-375E5E82-95BC-4695-AE25-20EA9B13C69AQ54939964-014B2A86-586F-41D4-B05D-0491375D2F1BQ56765088-FB9A0E72-47A6-43D6-A281-6ABC95504F74Q57822228-10DD80B3-8B2B-4897-9163-425FCD3C3384Q57848003-2CB6510F-98D1-4364-836D-7467D3E8A294Q58290726-1FF6DC03-9EB4-4EE6-95EC-FAE8B4C49E84
P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on July 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
PCR to predict risk of airborne disease.
@en
PCR to predict risk of airborne disease.
@nl
type
label
PCR to predict risk of airborne disease.
@en
PCR to predict risk of airborne disease.
@nl
prefLabel
PCR to predict risk of airborne disease.
@en
PCR to predict risk of airborne disease.
@nl
P2093
P1476
PCR to predict risk of airborne disease.
@en
P2093
Bruce D L Fitt
Jean Emberlin
Jon S West
Simon D Atkins
P304
P356
10.1016/J.TIM.2008.05.004
P577
2008-07-01T00:00:00Z