JOURNAL ARTICLE

Addition of Trichoderma consortia to Chilean endemic flora compost teas strongly enhances in vitro and in vivo biocontrol of phytopathogenic fungi.

  • Published In: Journal of Applied Microbiology, 2023, v. 134, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Carvajal, Marcela; Olivares, Makarena; Lobaina, Esli; Vergara, Alejandra; Velásquez, Alexis; Jeldres, Pamela; Meza, Débora; Dorta, Fernando; Jorquera, Franco; Seeger, Michael 3 of 3

Abstract

This article focuses on evaluating the antifungal efficacy of compost teas derived from endemic Chilean flora, inoculated with a consortium of Trichoderma spp. fungal strains, against three phytopathogens: Botrytis cinerea, Fusarium oxysporum, and Lasiodiplodia theobromae. Compost teas prepared from species such as Azara celastrina, Citronella mucronata, Cryptocarya alba, Peumus boldus, and Quillaja saponaria were tested in vitro and in vivo, showing that inoculation with a Trichoderma consortium significantly enhanced their suppressive effects on pathogen growth, with inhibition rates up to 94–97% for B. cinerea and 89–92% for F. oxysporum. In vivo assays on tomato plants demonstrated that combined treatment with compost tea and Trichoderma improved plant growth and reduced disease symptoms more effectively than either treatment alone. The study suggests that compost teas enriched with native Trichoderma strains offer a promising, sustainable alternative for managing phytopathogens in agriculture.

Additional Information

  • Source:Journal of Applied Microbiology. 2023/03, Vol. 134, Issue 3, p1
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2023
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxad011
  • Accession Number:162823999
  • Copyright Statement:Copyright of Journal of Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.