Effects of Planting Dates on Green Manure of Cowpea (Vigna unguiculata l.), Response of Succeeding Maize in a Derived Savanna Ecological Zone of Nigeria
Bibliographic record
Abstract
A study was carried out in the University of Agriculture, Abeokuta, to identify a niche for growing green manure in the derived savannah of Nigeria. Two local cowpea varieties were grown on 20th and 27th of March and 3rd of April 2009; 10th, 17th and 24th March, 2010 in a 2 × 3 factorial arrangement in a randomized complete block design. Open pollinated maize was planted as a test crop a week after incorporation of the green manure. Total biomass of cowpea was low in 2009 relative to 2010. Cowpea green manuring led to grain yield increase of succeeding maize by 92 -131 % and 43-124 % in 2009 and 2010 respectively. The erratic rains in mid March to first week in April could provide sufficient moisture for the growth of cowpea for green manure in this ecological zone and could ameliorate the effect of drought condition occasioned by climate change.
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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".