Genomic characteristics of a diploid F<sub>4</sub>festulolium hybrid (<i>Lolium multiflorum</i>×<i>Festuca arundinacea</i>)
Why this work is in the frame
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Bibliographic record
Abstract
The grass festulolium, a hybrid between the genera Festuca and Lolium , has a variety of beneficial agronomic attributes derived from both parents. Compared with high-ploidy festulolium, diploid festulolium is well suited to stabilizing ploidy and for studying agronomic traits and genetic relationships. We sought to produce a diploid festulolium hybrid that was resistant to summer depression, by hybridizing diploid Lolium multiflorum Lam. and hexaploid Festuca arundinacea Schreb., which has a high tolerance to summer depression. We obtained seven diploid F(4) plants that were capable of surviving the extremely hot summer in Morioka, Japan, in 2010, which was 2.7 °C higher than the average summer temperature. The observed resistance to summer depression in these plants was likely due to heat stress tolerance. The genomic constitutions of these seven hybrids were analyzed by GISH, and the chromosomal characteristics of a single diploid F(4) was analyzed by FISH using rDNA probes. The results showed that although no Festuca-specific genome remained in any of the seven diploid F(4) plants, extensive chromosomal rearrangement was observed in one of them. Our findings suggested that hybridizing diploid L. multiflorum and hexaploid F. arundinacea may be useful for modifying chromosome architecture in the Lolium genome with potential applications in chromosome engineering.
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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 | 0.002 |
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 it