Yield of Sesame (Sesamum indicum L.) as Influenced by Organic Fertilizers in the Southern Guinea Savanna of Nigeria
Bibliographic record
Abstract
Field experiments were carried out during the rainy seasons of 2008 and 2009 at the teaching and research farm of Nasarawa State University, Keffi, Lafia campus in the southern Guinea savanna agro-ecological zone of Nigeria to assess the effects of poultry manure, cow manure and sheep manure on the performance of sesame crop. Manure application was found to have significantly increased both yield and yield attributes of sesame compared with non application at all. Application of 2.5 t ha-1 of poultry manure produced the highest value for all the yield attributes measured. The seed yield per hectare in both years were also optimized with the application of 2.5 t ha-1 of poultry manure (1914.07 and 1933.20 kg ha-1 in 2008 and 2009 respectively) compared with any other applied rates of sheep and cow manure and is therefore recommended.
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".