Cold Stress Evaluation among Maize (<i>Zea mays</i> L.) Inbred Lines in Different Temperature Conditions
Bibliographic record
Abstract
Maize (Zea mays L.) is a crop in a tropical region which resists growing under sensitive temperature.This study was conducted to evaluate the performance of Canadian maize inbred lines under controlled cold stress conditions (5 o C, 10 o C, and 23 o C).Data were recorded by measuring germination rate, index, root length, and seed vigour index values.Five higher and three lower tolerant inbred lines were shortlisted.The data were analyzed using analysis of variance, while mean values were compared using Tukey's Honest Significant Difference Test at =0.05 and at =0.01.Using Genstat software, correlation was done.A strong correlation (P＜0.05) was found between germination rate and germination index under all stress conditions.Root length and vigour index were also strongly correlated with germination rate under 5 o C stress condition and compared to 10 o C and 23 o C stress conditions.Our results suggested that five (CO439, CO438, CO450, CO435, and CO445) among 22 maize inbred lines performed better under 5 o C cold stress condition and thus had the potential to develop maize hybrids to increase grain yield under environmentally stressful conditions in South Korea.
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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".