Effect of Scion Varieties and Wrapping Materials on the Success of Tongue Grafting on Apple (<i>Malus</i> spp) in Jumla, Nepal
Bibliographic record
Abstract
This study was conducted at Chandannath municipality, Jumla to study the effect of different scion varieties and wrapping materials on the success of tongue grafting on Apple (Malus spp.) from March to July, 2023. For this experiment, four scion varieties of apple i.e. Fuji, Royal Delicious, Vance Delicious, and Red Chief were grafted on Edy Mayal rootstock by using two different wrapping materials (Polyethylene plastic and Grafting tape). The experiment was laid out in a Randomized Complete Block Design (RCBD) with three replications. Royal Delicious was found statistically significant for days to sprout and the number of leaves was on par with Red Chief and Vance Delicious. Royal Delicious showed the minimum days to sprouting (47.3 days) maximum number of leaves (18.50) and minimum sprout length (31.45 cm). In addition, graft success was found to be significant for scion variety at a 10% level of significance. The maximum graft success was observed on both Red Chief and Royal Delicious (96.67%) while was low on the Vance Delicious variety (76.67%). Grafting tape was found to be superior to polyethylene plastic in terms of number of leaves. The graft union tied with grafting tape developed more leaves on scion (18.25) compared to the other tied with polyethylene plastic (16.91) at final observation. No interaction effect was observed at all parameters. Based on the results of this study, Royal Delicious variety is the best scion variety for tongue grafting and grafting tape is the best wrapping material under the climatic conditions of Jumla district.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".