Physiological Potential of Bean Seeds under Different Storage Temperatures
Bibliographic record
Abstract
Stored beans have active metabolism and respiration may cause significant quality losses. Therefore, some care is necessary during this period, aiming at maintaining the physiological quality of seeds, minimizing their deterioration and reducing their germinative power. Seed quality during storage may be influenced by environmental factors and the interaction of genotypes with the environment. The objective was to evaluate the germination and vigor of bean seeds after 90-days storage under different temperature conditions. The experiment was conducted under a completely randomized design, with four replications, in 3 × 2 factorial scheme, considering three storage temperatures (10 °C, 20 °C and 30 °C) and two storage times (0 and 90 days). For potential evaluation, the following characteristics were considered: moisture content, thousand seed mass, germination, electrical conductivity, accelerated aging and cold test. Numerical data were submitted variance analysis with averages compared by means test at 5% of significance. Results showed that storage temperature conditions directly affect physiological quality of bean seeds. Temperature of 10 °C provided better seed conservation whereas temperature of 30 °C promoted higher deterioration and reduced vigor.
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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".