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Record W4241106191 · doi:10.4141/p02-019

Ronald oat

2003· article· en· W4241106191 on OpenAlexaffvenueabout
Jennifer W. Mitchell Fetch, P. D. Brown, S. D. Duguid, J. Chong, S. M. Haber, J. G. Menzies, Nancy Ames, T. G. Fetch

Bibliographic record

VenueCanadian Journal of Plant Science · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsAvenaCultivarSmutPanicleBarley yellow dwarfRust (programming language)AgronomyBiologyTest weightPlant disease resistanceResistance (ecology)Stem rustHorticulturePlant virusVirus

Abstract

fetched live from OpenAlex

Ronald is a high-yielding, white-hulled, tall semidwarf oat (Avena sativa L.) cultivar with greatly improved panicle emergence compared with previously tested semidwarf lines. Ronald is postulated to carry the crown rust resistance combination Pc38, Pc39 and Pc68, which is highly effective against most of the present crown rust races on the Canadian prairies. It has very good resistance to loose and covered smut and good resistance to most of the prevalent races of stem rust, due to the likely presence of Pg2, Pg9 and Pg13, and moderate tolerance to barley yellow dwarf virus. Ronald has good kernel characteristics, such as high test weight, kernel weight and percent plump kernels. The grain characteristics exhibited by Ronald including hull-to-groat ratio, protein content and oil content should make it suitable for milling. It has excellent resistance to lodging. Ronald is well adapted for the oat growing areas of western Canada and in particular the Black Soil Zone of Manitoba and Saskatchewan where oat crown rust is prevalent. Key words: Oat, Avena sativa L., cultivar description, semidwarf oat, disease resistance, milling oat

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0320.014

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 head0.014
GPT teacher head0.179
Teacher spread0.165 · 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.

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

Citations13
Published2003
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Plant ScienceSame topicPlant Disease Resistance and GeneticsFrench-language works237,207