Evaluation of Banana BRS Pacoua and Mysore Cultivars in Different Cultivation Conditions
Bibliographic record
Abstract
Banana is one of the most produced and most consumed fruits worldwide, since it is a fruit high in nutritional value, being an excellent cultivation option for both smallholders and large farmers. The aim with this work was to evaluate the development, adaptability and to estimate the yield of the banana cultivars BRS Pacoua and Mysore in commercial plantation with and without irrigation. The experiment was carried out at Takakura farm, located at the Pará State, Brazil. The experimental design was randomized blocks, in a 2 × 2 factorial scheme, made of: two cultivars (BRS Pacoua and Mysore), and two cultivation methods (irrigated and not irrigated), with six blocks, four treatments and five repetitions, using five plants per treatment in each block. The following agronomic and vegetative characteristics were evaluated: plant height (m), base diameter (cm), bunch weight (kg), weight of the second hand (kg), fruits average weight (kg), number of hands per bunch (unt.), number of fingers in the second hand (unt.) and yield (t/ha). Accordingly to the data analysis there was significant variation for the conditions of cultivation, cultivars and interaction among cultivars and condition of cultivation in the analyzed characteristics, except plant height. The production and yield of the banana cultivars BRS Pacoua and Mysore are affected by the irrigation management, however, even in the cultivation system without irrigation the Mysore cultivar surpassed the BRS Pacoua cultivar in all the evaluated characteristics in the conditions of this work.
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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 | 0.002 | 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 | 0.001 |
| 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".