Leaf flushing behaviour of teak clones of Madhya Pradesh, India
Bibliographic record
Abstract
The leaf flushing period as a parameter of morphological trait of its behaviour was studied for three years (2002)(2003)(2004) in 123 teak clones belonging to eight Forest Divisions (Balaghat, Betul, Chhindwada, Hardha, Hoshangabad, Khandwa, Mandla and Seoni) of Madhya Pradesh, planted in ten experimental plots at teak seed orchard (TSO), Behrai, Seoni, Madhya Pradesh, India.The observations revealed that leaf flushing in teak clones of Madhya Pradesh occur in the month of May-June, irrespective of clones and years.Out of 123 teak clones, 18 clones showed early leaf flushing (16 th May to 31 st May), 78 clones exhibited mid leaf flushing (1 st June to 15 th June) and 27 clones revealed late leaf flushing (16 th June to 30 th June).The variation in leaf flushing periods within the clones and among the clones of different localities were found to be significantly (P<0.05 to P<0.01) heterogeneous within and over the years.The findings advocate that the variation in leaf flushing period of clones may be due to difference in genotypes of teak.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".