Effects of Varities Genotype and Temperature on the Agronomic Character of Virus-free Shoot of Potato in Vitro
Bibliographic record
Abstract
Different genotypes and different temperature on shoot fresh weight,shoot dry weight,root fresh weight,root dry weight,the number of leaves,plant height,stem diameter,the length of root and root number were investigated using potato virus-free seedling in Atlantic,Kexin No.1 and Qingshu168 as trial materia,using the method of Randomized block design of two factors.And measured some properties index after training 14days,The results showed that genotypes and temperature had significant interact effection on the root fresh weight,root dry weight and plant height(p0.05),but other properties index had no significant effect.Genotypes could affect shoot dry weight,root dry weight,the number of leaves,and root number(p0.05).Different temperature had significant effect on shoot fresh weight,shoot dry weight,root fresh weight,root dry weight,stem diameter,the length of root and root number(p0.05),but other properties index had no significant effect.So the optimal temperature for the three genotypes was(23±2)℃.
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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 | 0.000 | 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 | 0.000 |
| 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".