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Assignment of Colletotrichum coccodes isolates into vegetative compatibility groups using infrared spectroscopy: A step towards practical application
Year:
2015
Source of publication :
Analyst
Authors :
Tsror, Leah
;
.
Volume :
140
Co-Authors:
Salman, A., Department of Physics, SCE-Shamoon College of Engineering, Beer-Sheva, Israel
Shufan, E., Department of Physics, SCE-Shamoon College of Engineering, Beer-Sheva, Israel
Lapidot, I., Department of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka. Tel-Aviv Academic College of Engineering, Israel
Tsror, L., Department of Plant Pathology, Institute of Plant Protection and Agricultural Research Organization, Gilat Research Center, M.P. Negev, Israel
Moreh, R., Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Mordechai, S., Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Huleihel, M., Department of Microbiology Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Facilitators :
From page:
3098
To page:
3106
(
Total pages:
9
)
Abstract:
Colletotrichum coccodes (C. coccodes) is a pathogenic fungus that causes anthracnose on tomatoes and black dot disease in potatoes. It is considered as a seed tuber and soil-borne pathogen that is difficult to control. C. coccodes isolates are classified into Vegetative Compatibility Groups (VCGs). Early classification of isolates into VCGs is of great importance for a better understanding of the epidemiology of the disease and improving its control. Moreover, the differentiation among these isolates and the assignment of newly-discovered isolates enable control of the disease at its early stages. Distinguishing between isolates using microbiological or genetic methods is time-consuming and not readily available. Our results show that it is possible to assign the isolates into their VCGs and to classify them at the isolate level with a high success rate using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). © 2015 The Royal Society of Chemistry.
Note:
Related Files :
chemistry
Colletotrichum
Microbiology
Plant Disease
Plant Diseases
Solanum tuberosum
Show More
Related Content
More details
DOI :
10.1039/c5an00213c
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
19821
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:31
You may also be interested in
Scientific Publication
Assignment of Colletotrichum coccodes isolates into vegetative compatibility groups using infrared spectroscopy: A step towards practical application
140
Salman, A., Department of Physics, SCE-Shamoon College of Engineering, Beer-Sheva, Israel
Shufan, E., Department of Physics, SCE-Shamoon College of Engineering, Beer-Sheva, Israel
Lapidot, I., Department of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka. Tel-Aviv Academic College of Engineering, Israel
Tsror, L., Department of Plant Pathology, Institute of Plant Protection and Agricultural Research Organization, Gilat Research Center, M.P. Negev, Israel
Moreh, R., Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Mordechai, S., Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Huleihel, M., Department of Microbiology Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Assignment of Colletotrichum coccodes isolates into vegetative compatibility groups using infrared spectroscopy: A step towards practical application
Colletotrichum coccodes (C. coccodes) is a pathogenic fungus that causes anthracnose on tomatoes and black dot disease in potatoes. It is considered as a seed tuber and soil-borne pathogen that is difficult to control. C. coccodes isolates are classified into Vegetative Compatibility Groups (VCGs). Early classification of isolates into VCGs is of great importance for a better understanding of the epidemiology of the disease and improving its control. Moreover, the differentiation among these isolates and the assignment of newly-discovered isolates enable control of the disease at its early stages. Distinguishing between isolates using microbiological or genetic methods is time-consuming and not readily available. Our results show that it is possible to assign the isolates into their VCGs and to classify them at the isolate level with a high success rate using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). © 2015 The Royal Society of Chemistry.
Scientific Publication
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