Effects of Solid Medium Artificial Pollination on the Fruit Setting and Seed Vigor of Tobacco
Bibliographic record
Abstract
We investigated the effects of artificial pollination using solid pollen extenders on the fruit setting percentage and seed vigor of tobacco Yunyan87(Nicotiana tabacum L.).Pure pollen from Yunyan87 diluted with bentonite,flour,GTG powder,skimmed milk powder,bee pollen,soluble starch and talc powder at the proportion of 2∶1,1∶1,1∶2 and 1∶3(pollen:diluent v/v),using pure pollen as control.The results showed that the soluble starch was easy to mix with pure pollen among the different solid medium.The soluble starch diluted pollen(2∶1,pollen:diluent v/v)had great pollen adhesion on stigma,the average fruit setting percentage per plant was 90.4%,the average seed number per capsule was 3003.9,no significant difference was observed compared to control.After harvest,the seed germination energy and germination percentage was 90.3% and 93.3% respectively,the seed vigor was no significant difference compared to control.The above experiments suggest the possible use of soluble starch as a pollen extender for artificial pollination in tobacco seed production,which can reduce the application amount of pure pollen and cost of production.
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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".