Direct and Residual Effects of Different Poultry Compost and NPK Fertilizer Applications on Drought-Tolerant Maize Production
Bibliographic record
Abstract
<p>This study investigated the direct and residual effects of different poultry compost and NPK fertilizer applications on the growth components of drought-tolerant maize (<em>Zea mays</em> L.) in a derived savanna agroecology of southwestern Nigeria. The experiment was laid out in a Randomized Complete Block Design (RCBD) with six treatments, each replicated thrice. The treatments which were applied at planting, consisted of 100% cockerel manure (CM), 100% broiler manure (BM), 100% layers manure (LM), 33.3% cockerel manure + 33.3% Broiler manure + 33.3% Layers manure (CBLM) at 4.50 kg plot<sup>-1</sup><sub>,</sub>inorganic NPK 20-20-10 fertilizer at 0.30 kg plot<sup>-1</sup> and zero manure application as control (CT). The apparent efficiency of N recovery (AENR), N and P ear-leaf (NPEL) contents of maize with poultry manures were higher when compared to inorganic NPK fertilizer applications. The highest mean grain yield 1.30 t ha<sup>-1</sup> of maize was obtained with BM treatment that had the highest AENR and NPEL values. This however, was not significantly (p &gt; 0.05) different from the mean grain yield obtained with other treatments during the dry season. Comparable but higher mean grain yield, but also not significantly (p &gt; 0.05) different were obtained during the wet season in all the treatments.</p>
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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 | 0.000 | 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 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".