Suitability of certain strawberry genotypes for breeding of new cultivars tolerant to leaf diseases based on their combining ability
Bibliographic record
Abstract
Abstract The aim of the study was to estimate the general and specific combining abilities (GCA and SCA) of 13 dessert strawberry cultivars: ‘Figaro’, ‘Salsa’, ‘Palomar’, ‘Granda’, ‘Camarosa’, ‘Elianny’, ‘Aromas’, ‘Diamante’, ‘Portola’, ‘Charlotte’, ‘San Andreas’, ‘Monterey’ and ‘Albion’ for tolerance to the major leaf diseases strawberry leaf spot ( Mycosphaerella fragariae (Tul.) Lindau), leaf scorch ( Diplocarpon earliana (Ell. & Ev.) Wolf) and powdery mildew ( Sphaerotheca macularis (Wallr.) U. Braun). The crossing programme was performed in the winter of 2010/2011 in the glasshouse following a half-diallel cross mating design (Griffing’s method IV). Progenies of the 78 newly obtained families were evaluated in field conditions (randomized complete block design, 4 replicates, 15 plants per plot). Observations of the severity of plant infection with leaf spot, leaf scorch and powdery mildew were recorded from 2011 to 2013. Statistical analysis of data was performed according to Griffing’s fixed model. The most numerous significant and positive GCA effects were estimated for cv.‘Salsa’ for low plant susceptibility (tolerance) to all three diseases assessed. High GCA effects were also showed for cvs ‘Figaro’ and ‘San Andreas’—for low plant susceptibility to leaf spot and leaf scorch, and for cv.‘Diamante’—for low plant susceptibility to leaf spot and powdery mildew. Lower breeding values for the estimated traits were observed with cv.‘Camarosa’—for low susceptibility to leaf spot; with cvs ‘Palomar’ and ‘Granda’—for low plant susceptibility to leaf scorch, and with cvs ‘Monterey’, ‘Portola’ and ‘Charlotte’—for low plant susceptibility to powdery mildew. The lowest GCA effects for low plant susceptibility to the all three leaf diseases tested were observed with cv.‘Albion’. High usefulness for breeding new, resistant varieties has also been observed in the combination ‘Aromas’ × ‘Elianny’, which has significantly negative SCA effects for the susceptibility of plants to both strawberry leaf spot and leaf scorch.
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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 | 0.000 | 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 | 0.000 |
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".