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Record W4250866782 · doi:10.1139/cjps-2019-0191

Glencross hard red extra strong spring wheat

2019· article· en· W4250866782 on OpenAlexaffvenueabout
D. G. Humphreys, Brent McCallum, T. G. Fetch, J. Gilbert, O. M. Lukow, Jim G. Menzies, P. D. Brown, S. L. Fox

Bibliographic record

VenueCanadian Journal of Plant Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsStem rustBiologyCultivarOrange (colour)AgronomySmutMidgeRust (programming language)HorticultureFusariumBotanyGall

Abstract

fetched live from OpenAlex

Glencross is a hard red spring wheat (Triticum aestivum L.) adapted to the wheat-growing regions of the Canadian Prairies, particularly where orange blossom wheat midge is a production constraint. Glencross was evaluated in the High Yielding Red Wheat Cooperative Test in 2004, 2005, and 2006. Glencross had grain yield similar to the Canada Western Extra Strong (CWES) checks, Glenlea and CDC Rama, as well as the Canada Western Red Spring check, Superb; however, Glencross was significantly (P < 0.05) earlier maturing than all checks by 3 (Superb) to 4 (Glenlea and CDC Rama) days. Glencross had plant height and lodging scores similar to the CWES checks, Glenlea and CDC Rama, but was significantly taller and had significantly higher lodging scores compared with the CWRS check, Superb. Glencross was moderately resistant to moderately susceptible to leaf rust but was highly resistant to stem rust and loose smut. Glencross showed an intermediate reaction to common bunt and was similar to the susceptible checks for Fusarium head blight. Glencross is the first CWES cultivar with resistance to the orange blossom wheat midge (Setodiplosis mosellana Géhin). Glencross demonstrated end-use quality suitable for all grades of the Canada Western Extra Strong wheat class.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.003

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 head0.024
GPT teacher head0.203
Teacher spread0.180 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Plant Science→Same topicWheat and Barley Genetics and Pathology→French-language works237,207→