Exploring mycoparasitic potential of indigenous Trichoderma strains for theeffective control of red rot disease in sugarcane
Bibliographic record
Abstract
Colletotrichum falcatum is the most infectious pathogen of sugarcane which not only affects crop productivity but also lowers sugar recovery.Vegetative mode of propagation, long breeding cycle and anatomy of the plant further vulnarize it to pathogen infection.Owing to limitations in the control of pathogen with chemicals and conventional methods, mycoparasitic agents are more effective and efficient.Indigenous Trichoderma strains were used in these studies to see their impact on the control of this infectious pathogen under in vitro and in planta conditions.Both, the pathogen and Trichoderma isolates were purified and confirmed through molecular tools.Phylogenetic analysis was carried out to assess their genetic relatedness with other Colletotrichum species.In vitro dual plate culture assay was performed to assess mycoparasitic potential of all of the isolates.Trichoderma harzianum showed 85.5% inhibition in the growth of Colletotrichum falcatum whereas Trichoderma viride showed 81.1% growth inhibition.Further, in planta infection assay was conducted in red rot susceptible sugarcane genotype SPF-234 to seek for its potential to suppress pathogen infestation.Six months old plants were inoculated with C. falcatum alone and in combination with T. viride by plug method of inoculation.The infected canes were dissected out and observed for red discoloration.Both of the biocontrol agents inhibited growth of the pathogen yet T. harzianum appeared to be more effective for the control of aforementioned pathogen.Hence, Trichoderma harzianum isolates can effectively be used for the control of red rot infection in sugarcane leading to enhanced crop production and sugar recovery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".