Effect of Foliar Spray of Micro-Nutrients on Pigment Content in Pot Mum Cultivars Ajina Purple and Dolly White
Bibliographic record
Abstract
A pot experiment was conducted during September-2010 to February-2011 at College of Horticulture, Mandsaur (RVSKVV Gwalior), to find out the response of pot mum cultivars Ajina Purple and Dolly White to micro-nutrient sprays viz. Fe, Zn, Mn and B. the different micro-nutrienst alone and in combinations were sprayed to find out the best micro-nutrient treatment for these cultivars in terms of pigment content. The cv. Ajina Purple with 0.4% Fe recorded highest chlorophyll content (2.23 mg/g and 2.18 mg/g) before and after flowering respectively. The highest anthocyanin content 0.86 mg/g was recorded by Fe 0.4% and Zn 0.4% with cv. Ajina Purple and the highest leuco- anthocyanin content 0.82 mg/g was observed with cv. Dolly White.
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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 | 0.000 | 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".