Registration of ‘Resilience CL+’ soft white winter wheat
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 ‘Resilience CL+’ (Reg. no. CV‐1176, PI 686413; PVP 201800104) is a soft white common winter wheat ( Triticum aestivum L.) cultivar carrying two‐gene tolerance to imazamox herbicide that was developed and released in October 2016 by the Agricultural Research Center of Washington State University. It was tested under the experimental designations KCF9002 and WA 8187. Resilience CL+ was developed using marker‐assisted background selection and marker‐assisted forward breeding approaches involving a cross between a soft white winter wheat cultivar ‘Madsen’ and CL0618 (an Australian hard red spring two‐gene Clearfield line). Resilience CL+ carries two mutation alleles ( Als1 and Als2 ) of the acetolactate synthase gene ( ALS ) located on chromosomes 6DL and 6BL. Resilience CL+ has high grain‐yield potential, intermediate plant height, and is well adapted to regions of the inland Pacific Northwest (PNW) with >500 mm of annual precipitation. Resilience CL+ exhibited herbicide tolerance equivalent to ‘AP503 CL2’ and greater than the single‐gene Clearfield cultivar ‘ORCF‐102’. Compared with the other Clearfield cultivars grown in the PNW, Resilience CL+ has a high level of resistance to stripe rust and foot rot resistance, similar to that of Madsen. Resilience CL+ has soft kernels, an excellent milling score, and good end‐use quality characteristics. Yield comparison of Resilience CL+ with other popular cultivars demonstrated that it has greater yield than ‘SY Ovation’ and Madsen but is similar to ORCF‐102.
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