Collection and diversity analysis of sugarcane wild germplasm resources in northern Guangdong
Bibliographic record
Abstract
ObjectiveTo investigate and collect sugarcane wild germplasm resources in northern Guangdong, analyze their genetic diversity, and provide excellent parental materials for sugarcane genetic breeding. MethodThe germplasm resources were investigated and collected at the interval of 30 km or at the altitude drop of 100 m. The collection route and geographic information were recorded, and the underground rhizomes were excavated and preserved. Total six quantitative traits and 20 qualitative traits were measured. A comprehensive evaluation was conducted by calculating the coefficient of variation, genetic diversity index, and correlations between quantitative traits. ResultA total of 82 wild germplasm resources of sugarcane from four genera and four species were collected, including 28 samples of Saccharum spontaneum, 26 samples of Narenga porphyrocoma, 24 samples of Erianthus arundinaceus and four samples of Miscanthus sinensis. The phenotypic variation of sugarcane wild germplasm resources in northern Guangdong was rich, and the variation coefficient of quantitative traits was 10.9%−44.5%. The average variation coefficient of S. spontaneum was the largest (30.6%), followed by M. sinensis (30.3%), and the average variation coefficient of N. porphyrocoma was the smallest (28.1%). There was a very significant positive correlation between each pair of leaf length, leaf width, plant height and stalk diameter, and there was no significant correlation between brix and other traits. The Shannon-Wiener diversity index of qualitative traits was 0.000 0−1.222 7. Principal component analysis extracted two principal components from six quantitative traits, with a cumulative contribution rate of 62.312%. Cluster analysis revealed that six germplasms, including S. spontaneum accessions 2023GSM054 (cluster I) and 2023GSM246 (cluster III), N. porphyrocoma accessions 2023HBW224 (cluster I) and 2023HBW032 (cluster IV), and E. arundinaceus accessions 2023BM023 (cluster I) and 2023BM246 (cluster II), exhibited outstanding performance in yield and quality traits. ConclusionThe sugarcane wild germplasm resources collected in northern Guangdong have rich genetic diversity in phenotypic traits, and six germplasms with excellent comprehensive performance are screened out, which provide excellent gene sources for sugarcane breeding.
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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 | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".