Gossypium barbadense: An Approach for in Situ Conservation in Cerrado, Brazil
Bibliographic record
Abstract
Abandonment of planting of Gossypium barbadense has endangered its existence. The objective was to determine the characteristicof the maintenance of Gossypium barbadense in the Central-West Region of Brazil, with the aim to foster the conservation of the species. Expeditions were conducted in 2014-2015 in Southeast Goiás, where cotton collection has not been reported before. Data from previous collections in Goiás, Mato Grosso, Mato Grosso do Sul and Distrito Federal available in Albrana database were considered this study. In the Central-West Region of Brazil, 466 accesses of G. barbadense were recorded, found most frequently in backyards (91.4%), but also spontaneous plants (7.5%), farm boundary (0.8%) and commercial farming (0.2%) have also been found. The main use indicated by VDU was as medicinal plant (0.66), therefore this is the main reason for in situ preservation. However, this cultural habit has been abandoned, causing uncertainty about the continuity of preservation. There was presence of lint almost only in seeds of plants of the variety brasiliense. The most common fiber color was white, not cream color, suggesting that plants are derived from commercial cultivars used in the past. Hence, until 2015, the conservation relies on single plants almost exclusively in backyards for medicinal use, and there are no crops of this type of cotton for commercial purpose. The exploitation of the possible use both of the fiber as a medicinal plant would foster ex situ and in situ preservation of this important genetic resource.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".