Effect of Varieties and Explants on the Growth of Virus-free Seeding of Potato
Bibliographic record
Abstract
Carring two factor random block experiment,measured seedling fresh weight,root fresh weight,seedling dry weight,root dry weight,leaf number,plant height,stem diameter,root length,root number,node length,node number and growth of leaf area to study different varities and explants on virus-free potato plantlets biomass,shoot and root of the ministry.The results showed that: 3 different maturity varieties,3 different adapters had significant interaction(p0.05) on root fresh weight,seedling dry weight,root dry weight,plant height,stem diameter,length and ratio,this phenomenon indicated that different varities and explants had direct impact on growth and development of virus-free potato plantlets,and the other traits had little impact.Seedling fresh weight,root fresh weight,seedling dry weight,root dry weight,leaf number,stem diameter,section length and number of root to shoot ratio and root number was significantly affected(p0.05) by the varities,but the other traits had no significant impact.3 different explants had significant impact(p0.05) on potato root fresh weight,seedling dry weight,root dry weight,plant height,stem diameter,number,leaf area and root to shoot ratio,but other characters had no significant impact.In all,a nodal segment was most conducive to the growth of virus-free potato plantlets.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".