Performance of Sweet Cherry Rootstocks in the 1998NC-140 Regional Trial in Western North America
Bibliographic record
Abstract
A regional trial evaluating the performance of rootstocks for sweet cherries in western North America was planted in the spring of 1998 at six locations in the states of Washington, Oregon, Colorado, and Utah, and in the province of British Columbia, Canada. The rootstocks included: Mazzard seedling ( Prunus avium), P. mahalebseedling, Gisela® (G) 3, G5, G6, G7, Giessen (Gi) 195/20, Gi 318/17, Gi 473/10, Tabel® Edabriz, Weiroot (W) 10, W13, W72, W53, W154, and W158. The scion cultivar was 'Bing'. Rootstocks significantly affected tree size, yield and fruit quality, and these effects were not consistent across all locations. However, Mazzard and Mahaleb consistently produced among the largest trees and W72, G3 and W53 among the smallest. Root suckers tended to be most numerous for Tabel® Edabriz and the Weiroot series. Mazzard and Mahaleb usually had the lowest yield and yield efficiency. G3, G5, G7, W53 and W72 were fivefold or more as yield-efficient as Mazzard.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".