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Record W2774534226 · doi:10.3198/jpr2017.07.0048crg

Registration of Oilseed Sunflower Restorer Germplasms RHA 476 and RHA 477, Adapted for Short Season Environments

2017· article· en· W2774534226 on OpenAlexafffundabout
Brent S. Hulke, William E. May

Bibliographic record

VenueJournal of Plant Registrations · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSunflower and Safflower Cultivation
Canadian institutionsGovernment of CanadaAgriculture and Agri-Food Canada
FundersNorth Dakota Agricultural Experiment StationMinistry of Agriculture - SaskatchewanNorth Dakota State UniversityU.S. Department of Agriculture
KeywordsDowny mildewBiologySunflowerHelianthus annuusAgronomyHybridCropYield (engineering)Inbred strainGermplasmHorticulture

Abstract

fetched live from OpenAlex

Northward expansion and double crop use of sunflower (Helianthus annuus L.) is limited by the lack of commercial hybrids with early maturity. We seek to provide the sunflower industry with new, early‐maturing restorer inbred germplasms with high yield potential and favorable agronomic and seed oil traits, specifically, resistance to downy mildew, tolerance to postemergent herbicides such as the imidazolinones, and increased oleic acid in the seed oil. RHA 476 (Reg. No. GP‐344, PI 682129) and RHA 477 (Reg. No. GP‐345, PI 682130) are restorer inbred germplasms developed by pedigree selection and testcross evaluation that can fill this need. RHA 476 possesses high yield potential and high oleic acid (≥850 g kg−1) in the seed oil. RHA 477 possesses high yield potential, downy mildew resistance conditioned by PlARG, and imidazolinone herbicide tolerance. These lines were released by the USDA‐ARS, Fargo, ND, in collaboration with Agriculture and Agri‐Food Canada, Indian Head, SK, to fill the need for publicly available lines with early maturity in a high‐yielding genetic background.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.045
GPT teacher head0.258
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations3
Published2017
Admission routes3
Has abstractyes

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