Distinct Subgroups of <i>Cicer echinospermum</i> Are Associated with Hybrid Sterility and Breakdown in Interspecific Crosses with Cultivated Chickpea
Bibliographic record
Abstract
Crop wild relatives are a reservoir of phenotypic variation not present in the germplasm of cultivated species and thus have great potential for crop improvement. However, issues of genetic compatibility often interfere with effective utilization of crop wild relative taxa. Among chickpea (Cicer arietinum L.) crop wild relatives, Cicer echinospermum P.H. Davis is the sole species in the secondary genepool, being partially compatible with the primary genepool that is composed of the cultigen and its progenitor wild species Cicer reticulatum Ladizinksy. We report results from genetic studies among interspecific hybrids between cultivated chickpea and accessions from six recently identified wild C. echinospermum sites in southeastern Turkey, encompassing the known genetic diversity of the secondary genepool. Our studies indicate that both hybrid sterility and hybrid breakdown occur and are associated with distinct subgroups of C. echinospermum. Analysis of early‐generation progenies suggests that both hybrid sterility and hybrid breakdown are conditioned by one to few genetic loci. These results clarify ambiguity in the nature of the hybridization barriers of reduced fertility in interspecific crossing of cultivated chickpea with C. echinospermum and should foster a more systematic and wider use of C. echinospermum for base broadening of cultivated chickpea.
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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 | 0.001 | 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".