Spatiotemporal Variations in Temperature Accumulation, Phenological Development and Grain Yield of Maize (Zea mays L.)
Bibliographic record
Abstract
Planting date effect on phenological development, temperature accumulation and grain yield of maize was evaluated at three locations of Bangladesh differing in environmental conditions. Marked variations were observed in days to attaining phenological stages, temperature accumulation, duration of growth stages and grain yield across locations and planting dates. October planted maize in Bandarban completed its life cycle in 116 days while February planted maize in Kaharol suffered from high temperatures. December planted maize in Birganj experienced cool weather in vegetative phase and nearly optimal temperatures during reproductive phase. High temperatures hastened maturity reducing the duration of reproductive growth. Early planted maize produced the highest grain yield. Higher grain yield was positively related with the duration of reproductive growth phase. Late planting reduced maize grain yield mainly through lowering the number of kernels per ear and reducing kernel weight.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 teacher head, 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".