Genotype by environment effect on potato (Solanum tuberosum L.) and French fry quality
Bibliographic record
Abstract
This thesis investigates the relationships among, stability of, yield, french fry quality and sugar content in potato. Eight potato genotypes were grown in four environments in Ontario, Canada and evaluated for growth yield and quality. Genotype by environment interactions were significant for several traits including french fry colour. For yield and French fry colour AR2000-1 and AR2000-4 were the most stable, respectively. Russet Burbank displayed low levels of stability compared to the other genotypes. The biplot analysis indicated that Elora and Simcoe 2003 ranked cultivars similarly, for yield and French fry. Yield and tuber percent dry matter rankings at final harvest could be determined as early as 90 days after planting while rankings for individual sugars could be determined as early as 60 days after planting. Levels of all sugars in the tuber decreased during storage and the relationship between sugar level and poor French fry colour increased over time.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".