Combining Ability Analysis in 10 Strawberry Genotypes Used in Breeding Cultivars for Tolerance to Verticillium Wilt
Bibliographic record
Abstract
General combining ability (GCA) and specific combining ability (SCA) effects of 10 strawberry ( Fragaria × ananassa ) cultivars (Darselect, Selvik, Elianny, Figaro, Sonata, Susy, Salsa, Albion, Charlotte, and Filon) for severity of verticillium wilt ( Verticillium dahliae ) were estimated. Progeny consisting of 45 F 1 full-sib families from the crosses made in a half diallel mating design according to the IV Griffing’s method was evaluated in two field experiments conducted in 2009 and 2010 on a soil heavily infested with V. dahliae inoculum. Each hybrid family was represented by 60 seedlings (four replicates of 15 plants each). The analysis of variance revealed significant ( P < 0.01) GCA and SCA effects of the parental cultivars for the verticillium wilt severity in plants. This suggests that genetic additive and non-additive effects are involved in the inheritance of strawberry tolerance to verticillium wilt. In 2009, a significant negative GCA effect ( P < 0.05) for the verticillium wilt severity in plants was found in ‘Selvik’, ‘Filon’, and ‘Sonata’, indicating genetic transmission of tolerance from parents to the offspring. On the other hand, a significant ( P < 0.05) and positive for the verticillium wilt severity GCA effect was found for ‘Figaro’ in 2009, indicating the transmission from this parent to its offspring relatively high susceptibility to the wilt. Only in one hybrid family, ‘Albion’ × ‘Charlotte’, was the SCA effect significantly positive ( P < 0.05) for verticillium wilt severity in plants, whereas two other hybrid families—‘Selvik’ × ‘Salsa’ and ‘Sonata’ × ‘Albion’—showed significantly negative SCA effects ( P < 0.05). Three of 10 evaluated genotypes (i.e., ‘Selvik’, ‘Filon’, and ‘Sonata’) were found to be the most valuable parents to the strawberry breeding program for tolerance to verticillium wilt. The least suitable cultivar for this purpose was ‘Figaro’.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".