Thermal-Biological Aspects of Seed Germination of Colubrina glandulosa Perkins Under Different Temperatures
Bibliographic record
Abstract
The aim of this study was to determine the cardinal temperatures for germinating colubrina seeds, verify isothermal velocity variation based on the transition state model and calculate the ΔH≠ variation as a function of temperature. Seeds were incubated at constant temperatures of 5, 10, 15, 20, 25, 30, 35 and 40 oC and alternating temperature from 20-30 oC in an 8-hour photoperiod. The variables analyzed were: G, PC, IVG, TMG, VMG, Fi, U, Z, CR, CPA, MSR and MSP. Arrhenius equation was linearized by logarithmic transformation, producing the graph of -RlnV × 1/T from the experimental values of velocity. A net enthalpy change (Delta H≠) in relation to temperature was represented by the expression: Delta H≠ = [RT(Theta – T) × (Tm + TM)]/[(T – Tm) × (TM – T)]. The logarithm regression of the reaction rate on the reciprocal of the temperature fit best to the quadratic model. The distribution of Delta H≠ with asymptotes close to Tm and TM indicated that the processes that occurred in the supra-optimal temperature range were of a different nature from those that occurred in the infra-optimal temperature range. The data showed |Delta H≠| < 12 Kcal/mol in the optimal range and |Delta H≠| > 30 Kcal/mol for temperatures of 10, 15 and 35 oC. The minimum and maximum temperature limits were 10 and 35 oC, respectively. Germination speed was related to temperature in a curvilinear manner. The germination process was endergonic and only occurred when energy was ≥ -38.35 Kcal/mol and ≤ 32.42 Kcal/mol.
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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) | 0.000 | 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 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".