Tall Fescue as Turf in the United States
Bibliographic record
Abstract
Tall fescue [Lolium arundinaceum (Schreb.) Darbysh.] a coarse-textured, perennial bunchgrass, is one of six species of fescue commonly used as turfgrass throughout much of the conterminous United States. Origin of the development of turf-type cultivars can be traced to plants in a germplasm collection begun in 1962 at Rutgers University in New Jersey. Breeding efforts have resulted in cultivars with improved seedling vigor, drought tolerance, disease and insect resistance, color, texture, density, and uniformity. The National Turfgrass Evaluation Program (NTEP) coordinates uniform evaluation trials of cultivars and promising selections in the United States and Canada. The species can be identified according to characteristics of several vegetative plant parts, including auricles, collar, ligule and leaf blade, sheath, and tip. Restriction fragment length polymorphism (RFLP) molecular markers are being used to distinguish cultivars. Late-summer or early-fall planting is usually recommended when establishing tall fescue turf from seed. Pesticides may be necessary to control weeds, insects, or diseases, as needed at planting and during subsequent years for maintenance. The application of lime is usually recommended if the soil pH is <6.0. In addition to routine fertilization, irrigation, and mowing, tall fescue turf may require cultivation, dethatching, topdressing, and rolling. Seed production fields of turf-type tall fescues are located primarily in Idaho, Missouri, Oregon, and Washington. Tall fescue sod is harvested as small or rolled blocks or large rolls and is usually installed throughout winter, as long as the soil is not frozen. Innovative tall fescue cultivars will continue to be introduced using conventional breeding practices, protective endophytes, and perhaps transgenic biotechnology.
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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 | 0.000 | 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 | 0.001 | 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) | 0.006 | 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".