Rhizoctonia solani
This soil-borne fungus can infect a wide variety of hosts, making it a significant threat to agricultural productivity.
Understadning the biology, epidemiology, and management of R. solani is crucial for developing effective strategies to mitigate its impact on crop yields.
The PubCompare.ai platform leverages AI-driven analytics to help researchers optimize their R. solani studies, enhacing reproducibility and accuracy by identifying the most effective protocols and methodologies from literature, preprints, and patents.
Utilize the seachless AI comparisons to pinpoint the best products and techniques, ultimately improving your research outcomes and contributing to the fight against this damaging plant pathogen.
Most cited protocols related to «Rhizoctonia solani»
The bacterial isolates were also screened for in vitro antagonistic activities against the fungi used in this study as well as against the plant pathogenic fungus Rhizoctonia solani (anastomosis group 2.2IIIB). The in vitro antagonism tests were performed on 1/10 strength TSB agar as described by De Boer et al. [17 ].
All Trichoderma strains that were examined in laboratory experiments were sporulated on CMD medium (Yellow cornmeal 1g/L, potato dextrose broth 5g/L, Agar 1.5%), by incubation at 28°C for 10days, except for the strains of T. balearicum, T. calamagrostidis, T. crystalligenum, T. psychrophilum, T. rhododendri and T. rubi, which were incubated at room temperature (15–21°C) for longer periods (3–6weeks). Rhizoctonia solani strain ULE-R43, a fungal phytopathogen, was obtained from the University of León culture collection, and was used for antifungal assays on cellophane membranes. This strain was grown on potato dextrose agar medium (PDA) an incubated for 7days at 28°C in the dark.
Most recents protocols related to «Rhizoctonia solani»
Biochemical characterization of isolated bacterial strain.
Strains | Biochemical characterization | |||||
---|---|---|---|---|---|---|
Amylase | Catalase | Urease | Citrate test | Methyl red | Voges-Proskauer | |
Pseudomonas sp. | ++ | +++ | – | + | – | – |
Pseudomonas sp. | ++ | ++ | – | ++ | – | – |
Serratia marcescens | ++ | + | + | + | – | + |
Bacillus cereus | ++ | ++ | + | – | – | + |
Ochrobactrum sp. | + | + | – | – | – | + |
Azospirillum brasilensis | + | + | + | + | + | – |
Paenibacillus polymyxa | + | ++ | – | + | – | – |
*Note: In this table “+++”, “++”, “+” and “-”represent the production ability of microbes in high, moderate, low and absent, respectively. All experiment was conducted with 3 replications setup.
Characterization of plant growth promoting biochemical activities of isolated strain.
Strains | Phosphate solubilization (μgml−1) at 3days | IAA production (μg ml−1) at 48 h | Siderophore production | Ammonia production | HCN production | Biocontrol activity | ||
---|---|---|---|---|---|---|---|---|
150 μgml−1 tryptophan | 300 μgml−1 tryptophan | Fusarium oxysporum | Rhizoctonia solani | |||||
Pseudomonas sp | 39.25 ± .66e | 30.05 ± .86f | 34.86 ± .17e | ++ | +++ | ++ | + | ++ |
Pseudomonas sp | 33.02 ± .14c | 18.27 ± .60b | 32.06 ± .05d | + | ++ | + | + | ++ |
Serratia marcescens | 33.30 ± .16c | 23.70 ± .35d | 26.59 ± .07c | + | + | + | – | – |
Bacillus cereus IESDJP-V4 | 37.48 ± .44d | 20.08 ± .05c | 25.23 ± .09b | + | + | + | + | + |
Ochrobactrum sp | 24.76 ± .12b | 25.30 ± .87e | 55.48 ± .08g | + | ++ | + | – | – |
Azospirillum brasilense | 19.12 ± .12a | 40.59 ± 1.18g | 52.08 ± .13f | + | ++ | – | – | – |
Paenibacillus polymyxa | 136.14 ± .10f | 12.56 ± .18a | 23.11 ± .03a | + | + | + | + | + |
Note: The data Values are the mean ± SE, mean values in each column with the same superscript (s) do not differ significantly by Duncan multiple post hoc test (P = 0.05). The sign “+++”, “++”, “+” and “-” represent the production ability of microbes in high, moderate, low and absent, respectively. All experiment was conducted with 3 replications setup.
Pseudomonas sp. IESDJP-V1 showed inhibition zone against Fusarium oxysporum (A) and Rhizoctonia solani (B) on dual media plate of mixture of 50% nutrient agar and 50% Potato dextrose agar
Athelia rolfsii (Curzi) Tu & Kimbrough (provided by the Belgian Co-Ordinated Collections of Microorganisms “BCCM”/Agro-Food and Environmental fungi MUCL 051031) was reactivated on V8 juice agar (200 ml of V8 juice; 3 g of CaCO3; 15 g of agar; 800 ml of distillated water; pH = 7.2). After this step, fungus was cultivated on Oatmeal agar OMA (Per liter: 60 g of oatmeal; 12.5 g of agar, pH = 7.2 ± 0.2) to produce mycelia and sclerotia at 28°C. Inoculated petri dishes were stored at 4°C or collected sclerotia were retained in peptone water (10 g/l of peptone, 5 g/l of NaCl, 1-2 g of tween 80) at the same temperature for the next experiments.
Fusarium oxysporum, Aspergillus niger and Rhizoctonia solani (lab collection) were cultivated on Potato Dextrose Agar PDA (39 g/l, pH = 5.6 ± 0.2; Merck Germany) to produce mycelia. Cultivated fungi were stored at 4°C for subsequent experiments.
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More about "Rhizoctonia solani"
This soil-borne fungus, also known as the 'brown patch' or 'black scurf' fungus, can infect a diverse array of hosts, making it a significant threat to agricultural productivity worldwide.
Understanding the biology, epidemiology, and management of R. solani is crucial for developing effective strategies to mitigate its impact on crop yields.
The PubCompare.ai platform leverages AI-driven analytics to help researchers optimize their R. solani studies, enhancing reproducibility and accuracy by identifying the most effective protocols and methodologies from literature, preprints, and patents.
Potato dextrose agar (PDA) and potato dextrose broth (PDB) are commonly used media for culturing and isolating R. solani, while peptone and yeast extract are often added to enrich the growth medium.
Cetyltrimethylammonium bromide (CTAB) is a commonly used reagent for DNA extraction from R. solani samples.
By utilizing the seachless AI comparisons provided by PubCompare.ai, researchers can pinpoint the best products and techniques, ultimately improving their research outcomes and contributing to the fight against this damaging plant pathogen.
Leveraging the insights gained from the comprehensive MeSH term description and metadescription, researchers can optimize their R. solani studies and enhance the reproducibility and accuracy of their findings.