Optimizing Nitrogen Use for Irrigated Waxy Barley
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
Waxy barley ( Hordeum vulgare L.) with high amylopectin has value as a food crop, but information on optimal N fertilization of furrow‐irrigated waxy barley is limited. Furrow‐irrigated field studies were conducted at Parma, ID, and Ontario, OR, with ‘Merlin’ and ‘Salute’ spring genotypes planted fall or spring during the 2006, 2007, and 2008 seasons as the main plots and N treatments as subplots. “Early” N as dry urea was applied preplant or late winter (0, 60, 120, and 180 lb/acre) and “late” N was applied at heading (0 or 40 lb N per acre) to selected early N treatments. Late N was applied as top‐dressed dry urea (DU), foliar fluid urea (FU), foliar urea‐ammonium nitrate (FUAN, Parma only) or FU applied to ethephon‐treated barley (FUE, Ontario only). The optimal early N rate for Salute at Ontario was 0 with severe lodging or 60 lb N per acre, as compared to 60 or 120 lb N per acre for Merlin. At Parma, varieties did not differ in their yield response to N and optimal early N, ranged from 60 to 120 lb/acre. Yield increased as much as 1488 lb/acre with late N and was unaffected by late N source. Late N did not increase lodging or reduce apparent N recovery despite more total fertilizer N available. Ethephon controlled lodging sufficiently to improve yield 1439 lb/acre. Late N may allow producers to reduce the early N that contributes to lodging, and to both reduced yield and apparent N recovery.
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.
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 | 0.000 | 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 | 0.000 | 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 it