Biochemical screening of the domestic and world prosa millet collection on the content of amilose in grain
Bibliographic record
Abstract
Amylose is the most important biochemical indicator of grain quality in cereals. In this research are presented the results of biochemical screening for the quantitative amylose content in grain of 112 proso millet samples domestic and world collections (Afghanistan, Belgium, Hungary, China, Canada, India, Iran, Mexico, Pakistan, Russia, USA, Turkey, Ukraine, France). On the basis of the obtained data was made conditional classification of proso millet collection on amylose content. The results of biochemical screening of proso millet genotypes showed that the studied samples have different by the amylose content and their number varied from 5.5 to 34.90%. In domestic samples the amylose content ranged from 14.6% to 34.8%. A low amylose content were shown samples K-3742, PI 436626 (Lung Shu 18), PI 436625 (Lung Shu 16) and Ma zha Yan, averaging from 5.5 to 5.9%. Selected samples represent valuable genetic material for the creation of glutinous proso millet varieties and will be involved in the breeding process. On the basis of the conditional classification, it was found that the amylose content was higher than 25% (high amylose) in 68% of the studied samples , 23% were medium-amylose (15-25%) groups, and only 5% and 4% were low-amylose (6-14%) and glutinous (to 6%) groups, respectively. Key words: millet, collection, amylose, screening, classification.
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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".