Cultivar and Environmental Variation of β-glucan Content in Chinese Barleys
Bibliographic record
Abstract
β-glucan is a polysaccharide compound closely related to the quality of barley used as malting, feed and food. Low β-glucan content is expected for brewing and feed barley, while high β-glucan content is desirable for food barley. In this study β-glucan content of barley genotypes collected from various areas of China and as well as from Canada and Australia were assayed. Meanwhile a multi-locations trial was conducted to determine β-glucan content of 10 barley content in each location for two successively planting years. The results showed that barley genotypes from Tibet and Xinjiang had higher β-glucan content and the genotypes with higher than 8% of β-glucan content were detected in Tibet barley accessions, being valuable for use in development of healthful food. Barley cultivars being planted now in winter-sowing areas of China had the basically same β-glucan content as those from Canada and Australia. Barley seeds produced in Hangzhou had lower β-glucan content, in comparison with seeds from the original areas. There were highly significant difference in β-glucan content among 10 barleys, among 8 locations and between years. On a average of two years, Xumei 3 and Kongpei 1 had highest and lowest β-glucan content, respectively, and Taian and Hangzhou produced the highest and lowest β-glucan content barley seeds, respectively. Analysis of AMMI model showed that interaction effect between cultivar and environment was highly significant in both experimental years, and was dependence on cultivar, suggesting that it is important to plant the suitable cultivars in a particular area in order to obtain barley seeds with reasonable β-glucan content.
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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 | 0.000 |
| 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 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".