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Biological control of Pseudomonas syringae pv. aptata on sugar beet with Bacillus pumilus SS‐10.7 and Bacillus amyloliquefaciens (SS‐12.6 and SS‐38.4) strains

Overview of attention for article published in Journal of Applied Microbiology, October 2018
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Title
Biological control of Pseudomonas syringae pv. aptata on sugar beet with Bacillus pumilus SS‐10.7 and Bacillus amyloliquefaciens (SS‐12.6 and SS‐38.4) strains
Published in
Journal of Applied Microbiology, October 2018
DOI 10.1111/jam.14070
Pubmed ID
Authors

I. Nikolić, T. Berić, I. Dimkić, T. Popović, J. Lozo, D. Fira, S. Stanković

Abstract

Assessment of biological control of P. syringae pv. aptata using crude lipopeptide extracts (CLEs) of two Bacillus amyloliquefaciens strains (SS-12.6 and SS-38.4) and one Bacillus pumilus strain (SS-10.7). The minimum inhibitory concentration (MIC) of CLEs and their combinations against the pathogen and potential interaction between the extracts were determined in vitro. The most effective antibacterial activity was achieved with the CLE from B. amyloliquefaciens SS-12.6, with an MIC value of 0.63 mg ml-1 . Interactions between CLE combinations were mostly indifferent. The biocontrol potential of CLEs, mixtures of CLEs, and cell culture of B. amyloliquefaciens SS-12.6 was tested on sugar beet plants inoculated with P. syringae pv. aptata P53. The best result in inhibiting the appearance of tissue necrosis (up to 92%) was achieved with B. amyloliquefaciens SS-12.6 cell culture. This work demonstrated significant biocontrol potential of the CLE and cell culture of B. amyloliquefaciens SS-12.6 which successfully suppress leaf spot disease severity on sugar beet plants. The findings of biocontrol of sugar beet emerging pathogen will contribute to growers in terms of alternative disease control management. This study represent first assessment of biological control of P. syringae pv. aptata. This article is protected by copyright. All rights reserved.

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Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 6 11%
Student > Master 5 9%
Student > Bachelor 4 7%
Student > Doctoral Student 2 4%
Other 7 12%
Unknown 19 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 32%
Biochemistry, Genetics and Molecular Biology 10 18%
Medicine and Dentistry 2 4%
Immunology and Microbiology 2 4%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 22 39%