Performance of ‘Gala’ Apple Trees on Supporter 4, P.14, and Different Strains of B.9, M.9 and M.26 Rootstocks: AFive-Year Report on the 2002 NC-140 Apple RootstockTrial
Bibliographic record
Abstract
In 2002, an orchard trial of apple rootstocks was established at nine locations in Canada, Mexico, and the United States using ‘Buckeye Gala’ as the scion cultivar. Rootstocks included B.9 (North American or Treco strain), B.9 (European strain), M.26 NAKB, M.26 EMLA, M.9 Burgmer 756, M.9 Nic 29, M.9 NAKBT337, P.14, and Supporter 4. After 5 years, the greatest mortality was for trees on M.9 NAKBT337 (33%), and the lowest was for trees on M.26 NAKB (13%), B.9 Treco (13%), and B.9 Europe (10%). P.14 resulted in the largest trees based on trunk cross-sectional area. Smallest trees were on the two B.9 strains, with the European strain significantly smaller than the North American strain. Largest trees in the intermediate group were on Supporter 4, followed by those on M.26 NAKB, M.26 EMLA, M.9 Burgmer 756, M.9 Nic 29, and M.9 NAKBT337. Burr knot severity was highest on B.9 Europe and the two strains of M.26 compared to all other rootstocks. The severity of burr knots on the European strain of B.9 (20% of the circumference affected) was significantly greater than on the North American strain (7% of the circumference affected). Trees on M.26 NAKB, M.9 NAKBT337, and M.9 Nic 29 yielded more (cumulatively, 2004-06) than those on P.14 or B.9 Europe. The most yield efficient trees (cumulatively, 2004-06) were on the two B.9 strains, and the least efficient were on P.14. On average over the first 3 years of fruiting, M.9 Burgmer 756 resulted in larger fruit than did B.9 Europe or M.26 NAKB.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".