Phenotypic traits and diversity of different leaf shape accessions of the wild soybean (<i>Glycine soja</i> Sieb. et Zucc.) in China
Bibliographic record
Abstract
Yan, X., Zhao, H., Liu, X., Li, Q., Wang, Y., Yuan, C. and Dong, Y. 2014. Phenotypic traits and diversity of different leaf shape accessions of the wild soybean (Glycine soja Sieb. et Zucc.) in China. Can. J. Plant Sci. 94: 397–404. The phenotypic traits and diversity of different leaf shape groups of 6169 wild soybean accessions were investigated. The results included the following conclusions. First, the lanceolate leaf group had the highest genetic diversity. Second, the mean 100-seed weight was highest in the round leaf group (10.1 g); mean maturity time was longest in the eliptical leaf group (142 d); the ovate–round and linear leaf groups had higher mean protein content (45.7–46.1%); and the round leaf group had the highest oil content (16.3%). Finally, frequencies of white flower, high 100-seed weight and other traits in the round leaf group were disproportionately high; in contrast, linear leaf accessions were primarily characterized by purple flower and low 100-seed weight. Based on these results, we inferred that the lanceolate and linear leaves accessions tended to be wild types, while the round leaf group represented more recently evolved accessions. In addition, the accessions with eliptical, ovate–round and other leaves belonged to the intermediate evolutionary types. Our results also suggest that the abundant variation in leaf shape is an important indicator of level of genetic diversity and evolutionary status, which could facilitate the utilization of germplasm evaluation and classification for the wild soybean.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".