Please use this identifier to cite or link to this item: http://repository.afs.edu.gr/handle/6000/322
Title: Predicting Byssochlamysfulva ascospores behavior based on conidia data
Authors: Gougouli, Maria
Xiao, Y.
Gkogka, E.
Zinoviadou, Kyriaki
Adamidis, Tryfon
Subjects LC: Food - Analysis
Food - Composition
Keywords: Byssochlamysfulva ascospores
Food chemistry
Food composition
Issue Date: Sep-2017
Type: Presentation
Relation (Part Of): 10th International Conference of Predictive Modelling in Food (ICPMF 10) (Cordoba, Spain)
Publication Status: Not published
URI: http://repository.afs.edu.gr/handle/6000/322
Citation: Gougouli, M, Xiao, Y, Gkogka, E, Zinoviadou, K & Adamidis, T 2017, 'Predicting Byssochlamysfulva ascospores behavior based on conidia data', in 10th International Conference of Predictive Modelling in Food (ICPMF 10), 26-29 September 2017, Cordoba, Spain.
Restrictions: All rights reserved
Attribution-NonCommercial-NoDerivatives 4.0 International
Language: en
Appears in Collections:Conference/Workshop Presentations

Files in This Item:
There are no files associated with this item.


This item is licensed under a Creative Commons License Creative Commons