Analysis of Heterosis Among Heilongjiang Early Maize Inbred Lines and Canadian Maize Populations
Bibliographic record
Abstract
In this experiment, analysis of combining ability and heterosis among 8 Heilongjiang elite inbred lines and 20 Canadian populations were made by NCⅡ design. The results showed that the general combining ability of yield in EP8, EP17, EP7, EP13 and EP15 were higher than that of other populations. To yield special combining ability as an index, found that K10 and EP6, EP11, EP12, EP14; L105 and EP18, EP19, EP20, EP22, EP23; Dian11A and EP7, EP8, EP9; Dong237 with EP1, EP16, EP17; He344 and EP3, EP13; Longkang11 and EP15; Xiongzhang and EP10, EP21 also had close genetic relationship respectively. From the analysis of using yield average heterosis, we could know that part pattern heterotic models are EP7×K10, EP8×K10, EP1× Longkang11, EP12×Longkang11, EP17×Xiongzhang, EP14×Dian11A; EP23×Dian11A, EP3×Dong237, EP21×Dong237.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".