Bibliographic record
Abstract
High tunnels are a relatively economical form of protected culture, and offer cultural advantages such as protection from the elements and an extended production season. Interest in high tunnels for small fruit production has been increasing in North America. Growers in the United States and Canada are using multi-bay and single-bay high tunnels for production of red raspberry ( Rubus idaeus ), black raspberry ( Rubus occidentalis ), blackberry ( Rubus subgenus Rubus ), strawberry ( Fragaria × ananassa ), and blueberry ( Vaccinium spp.). Research trials using high tunnels are being conducted in numerous places across the United States. In most instances, high tunnels increased yields of berry crops, improved quality, and decreased the incidence of most diseases compared with field production, powdery mildew ( Sphaerotheca macularis ) being a notable exception. The insect and mite complex encountered in tunnels when growing berry crops has changed markedly, often becoming similar to that which might have been expected in greenhouses, with numbers of two-spotted spider mite ( Tetranychus urticae ), whitefly (Aleyrodidae), and thrips ( Frankliniella spp.) reaching high levels without control measures. In studies at The Pennsylvania State University, primocane-bearing cultivars of red raspberry plants produced at least two to three times as much marketable fruit in tunnels as in a previous field study, with substantial summer and fall crops obtained. ‘Triple Crown’ thornless blackberry produced very high marketable yields in the tunnels, even though winter injury historically resulted in a lack of blackberry production in the field. Strawberry production in a plasticulture system using short-day or day-neutral cultivars was found to be viable; however, the primary benefit of high tunnels for strawberry may have been reliability of production rather than a yield increase. Potential reasons for improvements in productivity and quality are numerous and warrant further attention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".