Bibliographic record
Abstract
The degree of cultivar's hybridization compatibility, which is the most fundamental subject of breeding, affects directly the success of hybridization This thesis does research on the compatibility, by respectively experimenting on the reciprocal cross of the following important Adzuki bean's nucleus grem plasm,comprising JN 5, JN 001, He bei 801, B 1, L I 10, NL3 and Danayan Moreover, it offers analysis on F 1 over-parent heterosis, mid-parent heterosis based on some of hybrid combinations The following primary results were revealed: (1) F 1 hybrid vigor is obvious in hybrid combination of higher compatibility (2)Concerning the success rate of hybridization, notable distinctions lie in the compatibility of the different lines, and even in the compatibility of a particular line when it is both experimented as male parentand female parent For example, three lines of Danayan, He bei801 and JN 011 show better compatibility when they are used as female parent than when used as male parent By contrast, NL 3 demonstrates a far higher success rate when it is applied as male parentthan when applied as female parent Among male parentexperimental materials ,JN 5 tops others as far as compatibility is concerned( Average: 26 9% ) and shows relatively higher compatibility( Average: 17 7%) when used as female parent Therefore, it can serve as bridge parent (3)The new hybrid method improved in this research will considerably increase the success rate of hybridization, which is to contribute the most significant breakthrough in breeding Adzuki bean
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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 | 0.001 |
| 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".