Application of abscisic acid affects turf stand evapotranspiration and photosynthetic rates
Bibliographic record
Abstract
Abstract Water use by turfgrasses is important because it impacts land use decisions and the potential use of natural turfgrasses in enclosed stadia due to humidity levels and fan comfort. The application of exogenous abscisic acid (ABA) has been shown to reduce evapotranspiration (ET) and photosynthetic rates of plants. This study aimed to examine the impact of foliar ABA application on Kentucky bluegrass (KBG; Poa pratensis ) ET and photosynthetic rates. In addition, water use efficiency (WUE), turfgrass growth, and percent green cover before and after application were also measured. The application of ABA reduced KBG ET and photosynthetic rates by 19.2% and 18.2%, respectively, while also reducing turfgrass growth and greenness. Photosynthetic rates returned to normal during recovery periods, whereas ET rates did not return to pre‐drought levels. The response of ET and photosynthetic rates did not provide a consistent response, although WUE was reduced immediately after ABA application. These findings show reductions in ET rates that could affect conditions in indoor stadia, which may provide insight for turfgrass maintenance of indoor stadia with turfgrasses.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".