Early Evaluation of Camu-Camu Subsamples in Transition Savanna/Forest Area
Bibliographic record
Abstract
Camu-camu (Myrciaria dubia (Kunth) McVaugh) is an indigenous fruit of the floodplain and riparian forests of the Amazon region. In Brazil, Roraima state has appropriate conditions for this fruit production. Cultivation outside the floodplains is an alternative to increase the availability of fruits, since flowering occurs almost all year round, and fruit bearing coincides with the end of the dry season and early rain season. The objective of this study was to evaluate the vegetative development of 6 camu-camu subsamples selected from the Instituto Nacional de Pesquisas da Amazônia- INPA (Amazonas state), in a savanna region near Boa Vista city (Roraima, Brazil). The experiment was conducted at the Serra da Prata Experimental Station of the Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), with a climate type Am according to Köppen climate classification. Four parameters were evaluated for the growth analysis, the basal stem diameter (mm), the plant height (cm), and numbers of basal and terminal shoots, as well as the numbers of flowers and fruits. Measurements were made at 90 days intervals in order to define the growth curve of each subsample for 30 months Based on the parameters of vegetative growth and early flowering, we recommend the UAT 1096-5 subsample with the best vegetative development for transition forest/Savanna area, presenting moreover higher number of terminal shoots, greater height, and early flowering than the remaining camu-camu subsamples. At 30 months after planting, the UAT 1896-7 and UAT 0796-8 subsamples showed no statistical difference from UAT 1096-5 regarding the number of terminal shoots, but showed slightly lower height, with a statistically significant difference. The UAT 1596-7, UAT 1796-7, and URUBU-2 subsamples showed the lowest number of terminal shoots, although UAT 1596-7 presented greater height than the others. In relation to precocity, peak flowering occurred in January, 30 months after planting, with the UAT 0796-8 and UAT 1096-5 subsamples excelling over others, with 500 and 435 flowers in total, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".