Evaluation resistance to head smut and heterotic relationship of early maturing maize populations
Bibliographic record
Abstract
In this study,it evaluated early-maturing populations of Canada resistance to head smut by artificial inoculation and using genetic mating design of NC Ⅱ to research Canadian corn population heterosis.The results showed that the inbred lines performanced resistance accounting for 85.2% of 61 Canadian corn populations without high susceptible material.10 populations which EP17-11,EP17-13,EP25-1,EP9-3,EP17-4 etc.were higher GCA than that of other populations.They could be used to group with a combination of higher production and use of great potential.61 lines derived from Canada populations were classificated into seven clusters according to SCA effect,11 had close genetic relationship to K10,respectively,5 had close genetic relationship to KF53,respectively,11 had close genetic relationship to KL298,respectively,10 had close genetic relationship to Dian11,respectively,10 had close genetic relationship to Dong46,respectively,10 had close genetic relationship to He344,and 5 had close genetic relationship to Jingqi,respectively.Reid group and Canadian corn populations had good heterosis and showed a higher yield increase.These populations had a great value in mature corn breeding for disease resistance in China.
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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 | 0.000 |
| 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".