Effect of different sub-zero temperatures and relative humidities on moisture content and germination of stored canola
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Storage of high-moisture canola remains a major challenge due to mold growth resulting in seed deterioration. While equilibrium moisture content (EMC) models have been widely applied to above-zero storage and drying conditions, no research has quantified EMC isotherm and germination under sub-zero temperatures. Isotherm and germination of canola, conditioned to 14–18 % moisture contents, were tested at temperatures from −25 to +30 °C and relative humidities (RHs) between 15 and 94 %. Multiple EMC models were evaluated for their predictive accuracy across the studied temperatures and RHs. The main factor influencing EMC of canola from −5 to −20 °C was the RH, and temperature had minimal influence. Both temperature and RH influenced the EMC when temperature was ≤ −20 °C. When RH was higher than 75 %, EMC of canola had an exponential increase with the increase of RH and/or decrease of temperatures. Seed germination remained high (≥80 %) at −5 to −15 °C, and RH had a minimum influence on the germination. At −20 and −25 °C and higher than 40 % RH, canola germination was reduced to less than 40 % after EMC was reached, indicating severe damage to the canola seeds. Peleg model yielded the best fit to the isotherm data at different sub-zero temperature ranges. These findings offer essential guidance for sub-zero grain storage and drying strategies, with implications for preserving seed viability and reducing post-harvest losses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| 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 it