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Cited by 318

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Plant growth promoting rhizobacteria as alternative to chemical crop protectors from pathogens (review)

Maksimov, I. V., Abizgil’dina, R. R., Pusenkova, L. I.·2011·Applied Biochemistry and Microbiology

Abstract

The review analyses data on physiological and biochemical influence of rhizospheric and endophytic plant growth promoting rhizobacteria (PGPR) on induced the mechanisms of resistance of plants and the possibility of their using in agricultural for to protect crop from pathogens and phytophages. Resistance of plants promoted by PGPR due to their endosymbiotic interrelationships is directly achieved by producing peptide antibiotics and hydrolases of chitin and glucan and also because plants form their own system of induced resistance, accompanied by changes in the balance of defensive proteins, phytohormones, and pro-/antioxidant status.

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Crossref · 10.1134/s0003683811040090

Cites

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Metadata

Authors
Maksimov, I. V., Abizgil’dina, R. R., & Pusenkova, L. I.
Venue
Applied Biochemistry and Microbiology
Published
2011-07
Volume
47
Issue
4
Pages
333-345
ISSN
  • 0003-6838 (ISSN-L)
  • 1608-3024
OpenAlex
W2009972489
Cited by
318
References
89
FWCI
6.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Plant growth promoting rhizobacteria as alternative to chemical crop protectors from pathogens (review). https://app.cochat.ai/papers/10.1134/s0003683811040090
The paper
Maksimov, I. V., Abizgil’dina, R. R., & Pusenkova, L. I. (2011). Plant growth promoting rhizobacteria as alternative to chemical crop protectors from pathogens (review). Applied Biochemistry and Microbiology. https://doi.org/10.1134/s0003683811040090

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.