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Record W2144389420 · doi:10.3198/jpr2011.02.0101crc

Registration of ‘NE01481’ Hard Red Winter Wheat

2011· article· en· W2144389420 on OpenAlexaboutno aff
P. Stephen Baenziger, R. A. Graybosch, Teshome Regassa, Lenis Alton Nelson, Robert N. Klein, Dipak K. Santra, David D. Baltensperger, Lan Xu, Stephen N. Wegulo, Yue Jin, J. A. Kolmer, Ming-Shun Chen, Guihua Bai

Bibliographic record

VenueJournal of Plant Registrations · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
FundersBASF Corporation
KeywordsWinter wheatBiologyAgricultural experiment stationGrain yieldAgronomyYield (engineering)AgricultureEcology

Abstract

fetched live from OpenAlex

‘NE01481’ (Reg. No. CV‐1061, PI 659689) hard red winter wheat ( Triticum aestivum L.) was developed cooperatively by the Nebraska Agricultural Experiment Station and the USDA‐ARS and released in April 2010. NE01481 will be marketed as Husker Genetics brand McGill. In addition to superior agronomic performance, Nebraska wheat growers would like to have increased resistance to Wheat soilborne mosaic virus . NE01481 was selected from the cross NE92458/‘Ike’ that was made in 1995. The pedigree of NE92458 is OK83201/‘Redland’ and the pedigree of OK83201, an experimental line developed by Oklahoma State University is ‘Vona’//‘Chisholm’/‘Plainsman V’. NE01481 was selected with the bulk‐breeding method as an F 3:4 line in 1999, and in 2001 it was assigned experimental line number NE01481. NE01481 was released because of its superior grain yield in rainfed wheat production systems in southeastern, south central, and southwestern Nebraska and that it is the first modern release from our program with resistance to Wheat soilborne mosaic virus .

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)0.001
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: Dataset · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.011

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 head0.060
GPT teacher head0.227
Teacher spread0.167 · 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
GenreDataset

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

Citations1
Published2011
Admission routes1
Has abstractyes

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