Bibliographic record
Abstract
12 introduced alfalfa(Medicago sativa) breeds,including Alfaking,Fields,Pyramid,Reward,Simplot 2000,Norva,Hopeland,Multifoliator,Leafking,Pick 3006,Pick 8925,Spreador-3,from American and Canada compared with local breed(Zhonglan 1) were studied in breed introduction cultivation tests in semi-aridity areas(Lanzhou) in 2003,and on adaptability in semi-humidity area(Gangu) in 2008.The results indicated that 12 introduced alfalfa plants grew well and completed all the reproductive periodicity.The results did not indicate plant diseases and damage by insects in both the semi-aridity and semi-humidity areas.Reproductive periodicity,nutrition component,growth rapidity and ratio of stem and leaf of 12 introduced breeds were also analyzed.It also showed that Alfaking had the highest content of dissociative praline and soluble sugar and the lowest content of MDA.The fresh yields of Alfaking were the highest,which were 54 207.00 kg/ha in Lanzhou and 82 883.65 kg/ha in Gangu.The second better of agronomic traits was Pick3006.However,Spreador-3 and Zhonglan 1 also had better performances compared with other breeds on adaptability.In conclusion,Alfaking,Pick3006,Spreador-3 and Zhonglan 1 are recommended to be cultivated in semi-aridity and semi-humidity areas of the Loess Plateau in northern 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 | 0.000 | 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) | 0.000 | 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".