Determination of Postharvest Pod Storage on Viability and Seedling Growth Performance of Cocoa (Theobroma cacao L) in the Nursery
Bibliographic record
Abstract
This research was conducted to determine how cocoa pod storage affects seed viability, when stored in containers for a specific period. The objectives were to determine the maximum storage period for maximum seed viability, determine the ideal storage container for maximum germination and finally determine the superior growth performance of the seedlings obtained. The design was a Randomized Complete Block Design (RCBD) in a factorial arrangement involving two factors: storage period and storage container. This arrangement produced interactions between the two factors and increased precision due to “Hidden replication”. Podwere randomly drawn at 5 daily intervals and seed sowed to determine viability through sixteen (16) parameters, which included time to start and end germination, germination percentage, stem girth, canopy spread, shoot length and vigour index. The results generated from this experiment were in respect of interactions and simple effects of the two factors, on viability and seedling growth performance. Interaction effects were pronounced on five parameters which included time taken to start and end germination; vigour index; shoot height and leaf area. Germination speed and percentage were also significantly influenced by storage period. For growth parameters, superior performance (p<0.05), was obtained for variables such as leaves per plant, petiole length, internode length, within 1 day of harvest (DOH)-15 days after harvest (DAH) period. In respect of the type of container used for storage, internode length and dry matter accumulation were significantly influenced. Storage temperature and relative humidity did not affect the results. Pods stored from 1-15 DAH in basket, jute sack or fertilizer sack had maximum viability.
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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".