2023
DOI: 10.3390/agronomy13041092
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The Effects of Trichoderma viride T23 on Rhizosphere Soil Microbial Communities and the Metabolomics of Muskmelon under Continuous Cropping

Abstract: The continuous cropping can restrict the large scale and intensive cultivation of muskmelon, and the use of Trichoderma preparation to alleviate the negative effects is an effective mean. Although the impact on rhizosphere soil microbial communities and metabolites after applying Trichoderma are still unclear. In this study, we applied the fermentation broth of Trichoderma viride T23 to muskmelon under continuous cropping, collected rhizosphere soil samples at 60 days after transplantation, and investigated th… Show more

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Cited by 4 publications
(2 citation statements)
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References 36 publications
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“…Some microbiome studies provide evidence of Trichoderma -driven competitive displacement and significant soil microbial community shifts, whereas others do not. T. viride T23 induced significant shifts in the richness, structure, and composition of the rhizosphere fungal and bacterial communities of muskmelon ( Zhang et al, 2023 ). T. koningiopsis application similarly shifted both communities in the Pinus massoniana rhizosphere ( Yu and Luo, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…Some microbiome studies provide evidence of Trichoderma -driven competitive displacement and significant soil microbial community shifts, whereas others do not. T. viride T23 induced significant shifts in the richness, structure, and composition of the rhizosphere fungal and bacterial communities of muskmelon ( Zhang et al, 2023 ). T. koningiopsis application similarly shifted both communities in the Pinus massoniana rhizosphere ( Yu and Luo, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…Non-targeted metabolome analysis was conducted using an Agilent 7890B Infinity gas chromatograph (Agilent Co., Santa Clara, CA, USA) coupled with an Agilent 5977A GC-MS. The measurement conditions followed those described by Zhang et al [19]. Principal component analysis (PCA) was utilized to observe the clustering patterns of metabolites in all samples and the repeatability of samples within the group.…”
Section: Metabolomic Analysismentioning
confidence: 99%