Characterization of Bushy Cashew (Anacardium humile A. St.-Hil.) in the State of Goiás, Brazil
Bibliographic record
Abstract
The physical and chemical characteristics of the fruits influence the consumer acceptance. The objective of this study was to perform the physical, physico-chemical and chemical characterization of fruits of accessions of bushy cashew (Anacardium humile A. St.-Hil.) (cashew nut and cashew apple) in a germplasm bank located in southwest of the state of Goiás, in Brazil, aiming at the selection of superior accessions, in order to facilitate the initiation of a program to encourage the production and consumption, for provide information for breeding programs and the specie preservation. This research study was conducted at the Laboratory of genetics and molecular biology with material collected in the Experimental Station of the Federal University of Jataí, within the biological ex situ collection of Anacardium humile, in the field of genetic resources. In the harvest of 2016, within this collection, they were evaluated accesses for the characteristics of the cashew apple: length, diameter of base, apex diameter, weight, instrumental coloration of the epidermis and pulp, titratable acidity (citric acid), vitamin C content (ascorbic acid) and carotenoid content; cashew nut were evaluated: length, width, thickness and weight. The results were submitted to descriptive analysis, obtaining average, minimum, maximum and variation coefficient and the correlation between the variables, testing the significance by the t test. Most of the accesses showed high CV for most of the variables, demonstrating high heterogeneity of the observed values. Cashew apples have high levels of vitamin C and carotenoids, indicating the nutritional potential of the specie.
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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 | 0.001 | 0.001 |
| 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 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".