Maize Yield Response to Induced Compaction in a Sandy-Loam Soil
Bibliographic record
Abstract
In this paper the compaction level of a sandy-loam soil in a humid tropical climate, most suited for maize cultivation for high productivity was investigated. This involved studying the yield of maize under varying compaction conditions of the soil. Five experimental plots of land at the teaching and research farm of the Rivers State University of Science and Technology, Port Harcourt, Nigeria were used for the exercise. Four of the plots were tilled, while one was left in its original state. Three of the four tilled plots were compacted by wheel traffic; and the compaction values of all the five plots, measured by their bulk densities are 1.17g/cm3, 1.20g/cm3, 1.23g/cm3, 1.28g/cm3, and 1.35g/cm3. The plot that was left in its original untilled and un-compacted state was used as the control plot. Irrigation of the field, weed and pest controls were done uniformly for all the plots. The maize plant was cultivated between October and February and its growth and yield estimated in terms of plant height, leaf area, number of plants to reach maturity, and quantum of dry matter and grain obtained. Results of early shoot emergence showed that plots with lower bulk densities had higher percentage emergence than the ones with higher bulk densities. Furthermore, it was found that the maize yield was significantly affected by the soil bulk density at P<0.05. A compaction value of 1.31g/cm3 is determined as optimal for maize cultivation in a sandy-loam soil in a humid tropical environment.
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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".