Effect of Sowing Dates on Growth, Yield and Grain Quality of Hybrid Maize
Bibliographic record
Abstract
This study was conducted during 2013-14 at Student Farm, | department of Agronomy, Faculty of Crop Production, Sindh Agriculture University, Tandojam. The experiment was laid out in Randomized Complete Block Design (factorial) with three replications having net plot size 3x4m=(12m2). The effect of three sowing dates 25thOctober, 10th November and 25th November on three hybrid maize varieties Pioneer 1543, Syngenta 4841 and Monsanto DK-6142 was studied. Yield components and grain quality parameters such as plant height, number of cobs per plant, cob length, grains per cob, grain yield, protein, starch and oil content of maize varieties were significantly affected by different sowing dates. It was concluded from the finding of present research work that all quantity and quality traits were promising when the sowing was completed up to 25th October. Further delay of the sowing had negative effects on the performance of quantity and quality of maize. Hybrid maize variety Pioneer 1543 was promising variety which gave the grain yield more than 8312 kg ha-1.
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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".