Molecular analysis of genetic relatedness among alfalfa clones differing in levels of self-incompatibility
Bibliographic record
Abstract
The possibility of increasing hybridity in alfalfa (Medicago sativa L.) cultivars through the use of self-incompatible (SI) parents is being investigated. Prior research has demonstrated that self-incompatibility is a heritable trait and that environmentally stable SI clones can be selected. However, inbreeding depression is very severe in alfalfa, and a potential problem associated with utilizing self-incompatibility to increase hybridity is the purported positive relationship between self-incompatibility and inbreeding. Fifteen stable, partially to fully self-incompatible clones and 18 stable self-compatible (SC) clones were selected from the broad-based population W10-AC3. RAPD, Anchored Microsatellite Priming (AMSP), and Simple Sequence Repeat (SSR) analyses were performed on genomic DNA using 9, 10-mer RAPD primers; the AMSP primers (from the 5' end) CAA(CA) 5 , CCCC(GA) 5 , CCG(GA) 5 , and GCC(GA) 5 ; and eight SSR primer pairs. Based on genetic distance (GD) estimates (computed from RAPD and AMSP markers) and numbers of tri-allelic and tetra-allelic loci from SSR analysis, there is no evidence that SI clones were more closely related than SC clones. Assuming parental GD is positively correlated with heterosis, environmentally stable SI clones with acceptable specific combining ability and separated by large GD's would be a good basis for a hybrid alfalfa system, or for use in other breeding schemes designed to minimize inbreeding while maximizing heterosis. Key words: Anchored microsatellite-priming, heterosis, inbreeding, RAPD, self incompatibility, SSR
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".