Selection of Canadian potato clones for agronomic and frying quality traits
Bibliographic record
Abstract
ABSTRACT The demand for cultivars suitable for processing, especially as frozen French fries, is increasing in Brazil. The Canadian expertise is high regarding the development of cultivars with processing characteristics; however, the growing conditions in Canada are quite different from those observed in Brazil. Thus, the aim of this work was to evaluate the performance of Canadian potato clones for their tuber yield, frying quality, plant vigor, and plant cycle, as potential new cultivars or to be used as a new source of variability for crosses. The experiments were conducted in Pelotas-RS and Canoinhas-SC, Brazil, in spring 2017. A set of 12 advanced Canadian potato clones from the Centre de Recherche Les Buissons, QB, Canada, were compared to three control cultivars used for processing. A randomized complete block design with three replicates, with two rows of 20 plants each per plot was used. Tuber yield, frying quality, plant vigor, and plant cycle traits were evaluated. Data were submitted to analysis of variance, grouping of means, and selection gains. It is possible to select genotypes with higher tuber yield and better frying quality, but it is difficult to add also a short cycle. In an attempt to select productive genotypes, with good frying quality, a not so long cycle, and vigor at least equivalent to the control cultivars, clones 15 and 16 were the best at both sites.
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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".