Field Demonstration of Trichoderma harzianum as a Plant Growth Promoter in Wheat (Triticum aestivum L)
Bibliographic record
Abstract
A three year study (2008-2011) on the validation of the Trichoderma technology for growth promoting ability of Trichoderma harzianum (Th3) was evaluated in the popular wheat (Triticum aestivum L.) variety Raj 3765 at farmer’s field through TIFAC-DST project entitled “On Farm Demonstration and Commercial Production of Trichoderma as Biopesticide and Growth Promoter”. The biological formulation was developed at Biological Control Laboratory, Division of Plant Pathology, IARI, New Delhi, and was successfully demonstrated in two districts of Rajasthan viz., Jaipur and Kota belonging to different agro climatic zones. Rhizospheric Competence Index along with its growth promotion effect on rootlets, tillers, weight of grains and grain yield were evaluated by using it at three stages of crop viz., seed, flowering and preharvesting @ 4g/kg and @ 4ml/L along with soil treatment with a mixture of farm yard manure and formulation @ 50:1 before sowing. Compared to the first year where the farmers were unaware of Trichoderma in 2008-09, a significant increase in yield of wheat from 36.25 to 46.73Q/ha (29% in Jaipur) and from 36.88 to 50.12Q/ha (36% in Kota) has been observed after continuous application for three years (2008-2011) The total income and the benefit cost ratio of farmers increased both at Jaipur (Rs 56242/ha, 1:1.8) and Kota (Rs 60332/ha, 1:1.9).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".