Effect of Chemical Presevatives on Service Life of Selected Wood Species Treated against Pests and Diseases
Bibliographic record
Abstract
The effect of different chemical preservatives on service life of selected wood species was evaluated in a field plot at the Forestry research site, University of Uyo, Akwa Ibom, Nigeria. Three wood species, Triplochiton scleroxylon K. Schum (Obeche), Gmelina arborea Linn (Gmelina) and Terminalia ivorensis A Chew (Idigbo- Black afara) were used for this study. Two chemical preservatives namely; acid copper chromate and copper citrate at concentrations of 0%, 0.37%, 0.75% and 1.5% each and a mixture of the two preservatives (mixed preservative) at the given concentrations were used in treating stakes of these wood species and their retentions determined. Service life of the stakes was evaluated at the end of six months and insect pest and fungi that infected them identified. The result indicated that obeche had the highest mean retention of 4.04 kg/m3.The result also showed that the retention increased with increase preservative concentration, the highest retention of 6.80 kg/m3 was obtained with mixed preservative at 1.5% concentration. Treated stakes of all the three wood species lasted for the six months of the experiment while the untreated stakes failed within the period. Highest service life rating of 10 (no termite (Cryptotermes cavifrons Bank) damage) and (-) (no fungal growth) was obtained with mixed preservatives at 1.5% concentration. Based on these findings the use of these preservatives at concentrations of 0.075%- 1.5% to enhance service life is recommended.
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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".