Accelerated Aging for the Evaluation of the Physiological Potential of Eggplant Seeds
Bibliographic record
Abstract
The use of healthy and vigorous seeds is necessary to ensure adequate plant stands, therefore, vigor tests are used to measure the physiological potential of seeds alongside with the germination test. The objective of this study was to evaluate different procedures for the estimation of the physiological potential of eggplant seeds through the accelerated aging test. Seed lots were tested for moisture content, germination, first count of germination, seedling emergence and speed of emergence index. Then, seeds were subjected to the conventional accelerated aging test, using an unsaturated NaCl solution or a NaCl saturated solution, for 24, 48 and 72 hours at 41 °C, estimating the moisture content after each period of aging. The treatments were allocated in a completely randomized design, with four treatments (seed lots) and four replicates. The use of the saturated solution of NaCl decreases the absorption of water and the rate of deterioration of eggplant seeds during the accelerated aging test, providing more uniform results. The accelerated aging test allows eggplant seed lots from cv. Napoli to be ranked at different levels of vigor and, among the procedures tested, the combinations 41 °C/48 hours and 41 °C/72 hours allowed the proper assessment of the physiological potential of seeds of this cultivar.
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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) | 0.001 | 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".