Thermal Tolerance Data and Molecular Identification Are Useful for the Diagnosis, Control and Modeling of Diseases Caused by Thielaviopsis paradoxa
Year of publication
2023
Authors
Azeez, Abiodun Abeeb; Esiegbuya, Daniel Ofeoritse; Jaber, Emad; Ren, Wenzi; Lateef, Adebola Azeez; Ojieabu, Amarachi; Asiegbu, Fred O.
Organizations and authors
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
Self-archived
Yes
Other information
Fields of science
Plant biology, microbiology, virology; Forestry
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object]
Publication country
Switzerland
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.3390/pathogens12050727
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes