Growth and Yield Parameters of Introduced Oil Palm Crop in Uganda
Bibliographic record
Abstract
Oil palm is commercially grown on Bugala Island within Lake Victoria. But with increasing demand for vegetable oils in Uganda more areas for oil palm production are required. A study was conducted to identify new areas suitable for oil palm production. The experiment was super-imposed on 45 × 45 m plots in 3-year old oil palm plantations in Bugiri, Buvuma, Kibaale and Masaka. The experiment was laid out in a randomized complete block design with three replications. From 2011 to 2013 results indicated significant (P < 0.05) mean increments from 98.9 to 141 cm in height, 166 to 377 cm in stem girth, 24.3 to 30.1 in number of open leaves and 40.3 to 81.2 in number of flowered palm trees. On the monthly basis the highest fresh fruit bunch (FFB) number and yield were realized in May and October, respectively which corresponded with the peak rain months. Furthermore, significant (P < 0.05) increments of 40.9% in number of FFB, 55.4% in bunch weight and 16.9% in yield were observed from 2014 to 2016. Across sites, Kibaale had the highest (601.5 FFB ha-1) number of FFB while Masaka registered the lowest number (452.2 FFB ha-1). Oil palm yield in Kibaale and Buvuma was twice higher than in Masaka. But, yield in Bugiri was not significantly different from that of Buvuma and Kibaale but significantly (P < 0.05) higher than in Masaka. The findings on growth and yield of introduced oil palm crop revealed that Kibale, Buvuma and Bugiri are potential areas for oil palm production in Uganda.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".