Assessment of the technological quality characters and chemical composition for some Egyptian Faba bean germplasm
Bibliographic record
Abstract
Increasing the yield and nutritional value of faba beans is one of the main objectives of the common bean cultivar improvement programs due to its contribution to terminate protein deficiency malnutrition in developing countries and raising the income level of smallholder farmers. In this study, the technological quality of bean seeds from twenty-four genotypes were evaluated (twenty germplasm and four improved cultivars (Misr 1, Giza 429, Giza 716, Giza 843). The results showed a significant diversity in the Egyptian bean germplasm in their quality traits compared to the control cultivars and indicated that the genotypes had a high hydration coefficient that ranged between (98.6-112.4%). While most of the genotypes for cotyledons to hull ratio met the commercial criteria that ranged between (7.41-6.41%). Twenty genotypes had the highest total soluble solids (6.90-11.78%) and were superior to the control cultivars. The seeds chemical composition analysis showed that the genotypes differed in their composition such as protein (26.65 to 30.72 %.), carbohydrate (58.00 to 62.25%), tannin (70.67 to 157.45%), phenols (35.23-51.02 %), and moisture (9.15 to 10.45%).
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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 | 0.000 |
| 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) | 0.000 | 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".