Characterization of volatile signatures of Pectobacterium and Dickeya spp. as biomarkers for early detection and identification - A major tool in potato blackleg and tuber soft rot management-Reference-Cited by-同舟云学术

Characterization of volatile signatures of Pectobacterium and Dickeya spp. as biomarkers for early detection and identification - A major tool in potato blackleg and tuber soft rot management

Published:2021-06 Issue: Volume:144 Page:111236
ISSN:0023-6438
Container-title:LWT
language:en
Short-container-title:LWT

Author:

Tietel Zipora^ORCID,Melamed Sarit,Lebiush Sara,Voet Hillary,Namdar Dvora,Eltzov Evgeni^ORCID,Tsror (Lahkim) Leah^ORCID

Publisher

Elsevier BV

Subject

Food Science

Reference44 articles.

1. Differentiation of Pectobacterium and Dickeya spp. phytopathogens using infrared spectroscopy and machine learning analysis;Abu - Aqil;Journal of Biophotonics,2020

2. Detection of potato brown rot and ring rot by electronic nose: From laboratory to real scale;Biondi;Talanta,2014

3. Pattern recognition and machine learning: Springer;Bishop,2006

4. Identification of volatile markers in potato Brown rot and ring rot by combined GC-MS and PTR-MS techniques: Study on in vitro and in vivo samples;Blasioli;Journal of Agricultural and Food Chemistry,2014

5. Using metaboanalyst 4.0 for comprehensive and integrative metabolomics data analysis;Chong;Current protocols in bioinformatics,2019

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