Field Performance of Quatity Protein Maize With Zinc and Magnesium Fertilizers in the Sub-Humid Savanna of Nigeria
Bibliographic record
Abstract
Field experiments were conducted for three years (2006 – 2008) in Samaru (11o11’N, 7o38’E) 686m above sea level in Nigeria. The objective was to test the response of two Quality Protein Maize (QPM) varieties (SAMMAZ-14 and SAMMAZ-11) to four levels each of Zinc and Magnesium (0, 1.25, 2.5 and 5.0 kg) using their carbonates. The experiments were arranged in all possible factorial combinations and laid out as randomised complete block design (RCBD) and replicated three times. The two varieties tested did not differ significantly in all the parameters evaluated except for the number of days to 50% tasselling. Grain yield ranged between 1.9 – 2.0 t/ha when averaged over both years which was quite below the 5.0 t/ha potential. Zinc application had no significant influence on most characters evaluated except total dry matter per hectare in 2006 when the application of 1.25 kg 2n/ha produced the highest TDM. Grain yield per hectare remained unchanged with changes in Zinc rate. Magnesium application influenced grain yield on 2008 only when 1.25 kg Mg/ha increased yield compared with plots with 5.0kg mg/ha. When averaged over the three years, Mg application did not significantly influence grain yield, but increased protein yield. Grain yield correlated positively and significantly with leaf area index (r = 0.13**), plant height (r = 0.26*), TDM (r = 0.21**) and protein yield (r = 0.97**). Protein content of grain remained unchanged with changes in Zinc and Magnesium rates at 8%
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".