Genetic Study of Nutritional and Physicochemical Characters of Chickpea Lines and Cultivars (Cicer arietinum L.)
Bibliographic record
Abstract
Sixteen Kabuli chickpea lines composed of five varieties released in Tunisia and eleven breeding lines originated from ICARDA have been analyzed to measure their nutritional and physicochemical properties and to evaluate their seed quality. The analysis showed variability among the investigated material in terms of physicochemical characteristics of seeds (weight of 100 seeds, caliber, hydration capacity, inflation capacity) and flour (density, index of color and rate of proteins) and time of cooking (Table 2).The correlations between nutritional and physicochemical characters showed that they were significant between the weight of 100 seeds and the caliber (0.902), the time of cooking and the caliber (0.421), the index of color and the caliber (-0.334), the weight of 100 seeds and the capacity of hydration (0.580). High heritability was characterizing all the characters excepting the density, humidity and the ashes.The results show that the qualitative improvement of these traits is possible in early generations of a breeding program.The effect of supplementary irrigation was beneficial on the caliber of seeds, the weight of 100 grains, the hydration capacity and the rate of proteins.We consider that the genetics and the agricultural techniques take an equivalent part in the improvement of the quality on chickpea
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".