Study of Achene’s Germination of Different Strawberry Cultivars (Fragaria × ananassa Duch.) under Mist and In vitro Conditions
Bibliographic record
Abstract
Germination of strawberry seeds from self- and cross pollination of 4 commercial cultivars were evaluated under mist and in vitro cultures. The study was conducted in McGill University in Quebec, Canada, during 1994 and 1995. Self-pollination of Chambly and Redcoat cvs., and cross pollination of Oka × Chambly as well as Redcoat × Veestar and their reciprocals were used. At maturity, fruits were harvested and their seeds were separated. A sample of each seed lot was grown in greenhouse under mist condition and in vitro using MS medium. In the latter, both intact and cut seeds were used. Germination index (containing germination velocity and rate) was used as a criterion for germination evaluation. The results showed that there was no sign of germination in intact seeds 40 days after cultivation on MS medium however, cut seeds containing plantlets started germination 2 days after cultivation and obtained 90 percent of the germination after one week of culturing on the medium. Germination of seeds under mist condition began 15 days after sowing and showed a minimum of 55 to 87 percent in different genotypes till the end of the experiment period (60 days). Germination index (GI) under this condition ranged from 15.4 to 26.1. GI comparison of seeds under in vitro and mist conditions indicates a lower germination rate in different genotypes under mist condition. This study also showed that the rate of germination in strawberry seeds could range from 0 to 100 percent depending on genotype and type of treatment used. The best treatment for a synchronized and rapid germination was found to be using cut seeds containing the plantlets on MS medium.
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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 | 0.000 |
| 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".