Breeding and Selection of New Flue-cured Tobacco Variety Jiyan 9 and its Characteristics
Bibliographic record
Abstract
Jiyan 9, a new flue-cured tobacco variety developed through pedigree selection by crossing 9501, a flue-cured tobacco line with good resistance to disease and stress, easy to cure and high yield, and Windel, an introduced variety from Canada, passed tobacco variety evaluation of Jilin Province and China respectvely in January, 2006 and October, 2007. The flue-cured leaves were mainly in orange or golden color, rich oil, appropriate thickness with loose structure. The contents of total sugar and nicotine were 26.59% and 1.78%, respectively, and the ratio of reducing sugar to nicotine reached 13.09. The content and ratio of major chemical components were suitable. The cured leaves featured neutral to faint scent with full aroma and flavor. The average yield and output value were 2 599.01 kg/hm2 and 19 221.69 yuan/hm2, respectively, which was 20.47% and 41.2% higher than that of the check NC89. Jiyan 9 showed immune to TMV, moderate resistance to root-knot nematode and PVY, low resistance to black shank, and similar resistance to other diseases with NC89. Jiyan 9 had the characteristics of favorable resistances to drought, waterlogging, chilling and early flowering, also good tolerance to high fertilizer rate and curing, and the leaves were easy to cure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".