Screening of tall fescue genotypes for relative water content and osmotic potential under drought stress
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background Tall fescue ( Festuca arundinacea Schreb.) is an important cool‐season perennial grass. Its persistence and forage yield can be severely affected by drought stresses during the hot, dry summers of the southern USA. Methods One thousand tall fescue genotypes were evaluated in the greenhouse for high relative water content (RWC) and low cell sap osmotic potential (OP). Fifty contrasting genotypes for the two traits were identified and used in further greenhouse and field studies. These genotypes were also screened with 30% PEG8000. Root and shoot characteristics were studied in 10 genotypes. Results The genotypes differed for RWC (33.7%–97.3%, mean: 79.7%) and had an almost fivefold difference in OP (−0.5 to −2.4 MPa, mean: −1.2 MPa). Significant variation ( p < 0.001) for the main effects of environment and genotypes was found for RWC and OP. Apart from the greenhouse trial, no correlation was found between RWC and OP, indicating that differences in RWC might have been due to factors other than osmotic adjustment. Genotypes with either long roots or high root weights, and high root/shoot ratios demonstrated high RWC and low OP. Conclusions Genotypes with consistently high RWC and low OP were identified and used for the development of mapping populations and transcriptome studies.
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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) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it