Yield Performance of Popcorn (Zea mays L. everta) under Lime and Nitrogen Fertilization on an Acid Soil
Bibliographic record
Abstract
A two-year field experiment was carried out on the acidic coastal plain sands of South Eastern Nigeria during the year 2009 and 2010 planting seasons to study the effect of lime levels (L = 0, 500 and 1000 kg ha-1) and nitrogen rates (N = 0, 40, 80 and 120 kg ha-1) on -popcorn varieties (Yellow composite and Ashland). Results showed that N application resulted in significantly (p=0.05) higher grain yield at 80kg N ha-1 in 2010 than that obtained at 120 kg Nha-1 in 2009. Yield in 2010 outstripped yield in 2009 by 23.65%. Results also showed that lime at 500 kg ha-1 gave the highest popcorn yields in 2010, a yield increase of 18.03 % above control, whereas there was no yield response to lime in 2009. Based on the results obtained, it can be concluded that popcorn sown at 80 kg N ha-1 and 500 kg ha-1 rates of lime significantly increased the crop productivity compared to those sown at other N and lime rates. The study demonstrated the effect of lime amendment in reducing rates of inorganic N applied to popcorn especially with resource poor farmers who form the bulk of maize producers in Nigeria.
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.
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".