Detection of Verticillium infection in cotton leaves using ATR-FTIR spectroscopy coupled with machine learning algorithms-Reference-Cited by-同舟云学术

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Detection of Verticillium infection in cotton leaves using ATR-FTIR spectroscopy coupled with machine learning algorithms

Published:2024-09 Issue: Volume: Page:125127
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Li Xianchang,Zhang Lipeng,Zhang Shiding,Shang Haihong,Xu Yizhong,Luo Yongping,Xu Shunjian,Wang Yuling

Funder

Zhejiang Province Natural Science Foundation

Publisher

Elsevier BV

Reference36 articles.

1. Pectin lyase enhances cotton resistance to Verticillium wilt by inducing cell apoptosis of Verticillium dahliae;Zhang;J. Hazard. Mater.,2021

2. VdGAL4 modulates microsclerotium formation, conidial morphology, and germination To promote virulence in Verticillium dahliae;Wen;Microbiol. Spectr.,2023

3. B. Kowalska, Management of the soil-borne fungal pathogen-Verticillium dahliae Kleb. causing vascular wilt diseases, J. Plant Pathol. 103 (2021) 1185-1194.

4. Characterization of two fungal isolates from cotton and evaluation of their potential for biocontrol of Verticillium Wilt of cotton;Zhu;J Phytopathol.,2013

5. Threshold microsclerotial inoculum for cotton Verticillium Wilt determined through wet-sieving and real-time quantitative PCR;Wei;Phytopathology,2015

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