Quality Attributes of Immature Fruit of Different Mango Varieties
Bibliographic record
Abstract
The study was carried out to evaluate quality attributes of immature fruits of four commercially grown varieties of mango namely Sindhri, Chaunsa, Langra and Desi. The immature mango fruits were collected from basin of mango tree in the end of April followed by washing, surface drying and extraction of fruit pulp. The extracted fruit pulp was assessed for pH, TSS, moisture and ash percentage, acidity, vitamin C, fat, protein and sugars. Besides, minerals including sodium, calcium, potassium, magnesium, zinc, iron, copper, chromium, and manganese were also determined. On the basis of varietal comparison Sindhri had more moisture (88.60%), ash and fat (0.60%) each, total sugars (6.99%) and reducing sugars (2.78%) as compared to rest of the varieties. However TSS (9.35%), protein (0.71%), and non reducing sugars (4.86%) were recorded the highest in Langra variety. Only the Chaunsa variety had maximum pH of 3.01 and vitamin-C (27.16 mg 100g-1). Regarding mineral elements, Desi was found potential in terms of sodium (453.93 mg kg-1), calcium (403.79 mg kg-1), Zinc (3.47 mg kg-1) and iron (5.95 mg kg-1). The zinc and iron was at par with the results obtained from Langra. However, potassium (904.58 mg kg-1) and copper (2.58 mg kg-1) were observed the highest in Langra, magnesium (78.09 mg kg-1) in Chaunsa and manganese (2.43 mg kg-1) in Sindhri.
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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".