Value and utilization of alloplasmic common wheats with <i>Aegilops crassa</i> cytoplasm
Bibliographic record
Abstract
Abstract Differences between alloplasmic lines and euplasmic controls indicated consistent beneficial effects of Aegilops crassa cytoplasm on common wheats. In general, the agronomic performance of alloplasmic lines was superior to that of euplasmic controls; the significant differences observed were ascribed to nucleus‐cytoplasmic (NC) interactions. A number of useful genetic attributes, for example, high yield, good quality and salt tolerance, were identified. A new NC hybrid variety ‘Xiaoshan 2134’ was bred. Field trials showed that the yield NC heterosis of ‘Xiaoshan 2134’ was 13.9% and the yield of ‘Xiaoshan 2134’ was at least 20% higher than that of a control variety widely grown in North China. The results suggested that Ae. crassa cytoplasm could broaden the genetic base of common wheat and improve common wheat cultivars by utilizing NC heterosis.
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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".