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Record W2561143197

Ninety Years of Perennial Forage Grass Breeding for the Canadian Prairie Provinces

2013· article· en· W2561143197 on OpenAlexaboutno aff
Bruce Coulman, P. G. Jefferson

Bibliographic record

VenueUKnowledge (University of Kentucky) · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsForagePerennial plantAgronomyGeographyAgroforestryFodderGrazingBiology
DOInot available

Abstract

fetched live from OpenAlex

The majority of Canadian beef production takes place in the three prairie provinces of western Canada and seeded pasture and hay land provides a large proportion of the feed for these cattle. This region is characterized by low to moderate rainfall (300-500 mm annually) and extremely cold winters; thus, forage species grown must have high tolerance to cold and drought. Perennial grass breeding for the region began in 1922 and has continued for ninety years in two programs. Major seeded grass species were introduced into Canada from Eurasia. Significant developments from this program include: the development of Fairway crested wheatgrass (Agropyron cristatum L.) (1932) which was used to revegetate more than 0.5 million ha of eroded land; the introduction and development of improved cultivars of meadow bromegrass (Bromus riparius Rehm.) (1987) which were rapidly adopted by beef producers, making it the most popular grazing species in the prairie provinces; the development of hybrid bromegrass (B. riparius X B. inermis Leyss.) cultivars (2000) which have become popular dual purpose hay/pasture grasses; and the development of green wheatgrass (Elymus hoffmanii K.B. Jensen and K.H. Asay), which is highly tolerant to soil salinity. Recently, there has been increased demand for native Canadian grasses to be used for forage, conservation and reclamation purposes and cultivars or ecological varieties of several species have been released or are under development. Perennial grass cultivars developed in these programs occupy a large portion of the seeded hay and pasture area in the Northern Great Plains region of Canada.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.833
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.018
GPT teacher head0.179
Teacher spread0.161 · 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 teacher head, 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

Citations2
Published2013
Admission routes1
Has abstractyes

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