Molecular contribution to selection of intergeneric hybrids between sugarcane and the wild species <i>Erianthus arundinaceus</i>
Bibliographic record
Abstract
Erianthus arundinaceus has great potential as a germplasm source for better ratoonability, vigour, tolerance to environmental stresses, and disease resistance in sugarcane. Many unsuccessful attempts have been made to introduce these characters into modern sugarcane cultivars. We report on significant progress made since molecular tools were implemented. Sequence-tagged PCR, revealing size variation in the 5S rDNA cluster, was performed on intact leaf tissue to identify genuine hybrids six weeks after germination. This early screening of seedlings avoids the loss of genuine hybrids due to competition with selfed progeny. Of 96 crosses made involving female Saccharum officinarum or sugarcane cultivars (Saccharum spp.) and male E. arundinaceus, 26 were fertile producing 1328 seedlings. Thirty-seven genuine hybrids were unequivocally identified but only 19 have survived. Genuine hybrids were produced from only three crosses, all involving S. officinarum as the female parent. Chromosome elimination was observed in all seven hybrids analyzed using genomic in situ hybridization (GISH). Very little cross-hybridization was observed between the genomes of the two species after GISH, confirming recent molecular studies which showed that E. arundinaceus is quite distant from the genus Saccharum. The major limitation in the introgression of E. arundinaceus resides now in the apparent sterility of the hybrids.
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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) | 0.001 | 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".