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Record W2055831995 · doi:10.4141/p00-104

Phenological development in two-row spring barley when grown in a long-day (Alberta, Canada) and a short-day (Western Australia, Australia) environment

2001· article· en· W2055831995 on OpenAlexaffvenueabout
Blakely Paynter, P. E. Juskiw, J. H. Helm

Bibliographic record

VenueCanadian Journal of Plant Science · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCrop Yield and Soil Fertility
Canadian institutionsAgriculture Food and Rural Development
FundersGrains Research and Development Corporation
KeywordsPhenologyAgronomyCultivarSeedlingBiologyHordeum vulgareSeedingCropSowingVegetative reproductionHorticultureSpring (device)GeographyPoaceae

Abstract

fetched live from OpenAlex

Phenological development in eight cultivars of two-row, spring barley (Hordeum vulgare L.) was examined when sown at two dates of seeding in two diverse environments. These environments were a short-day environment at Northam, Western Australia, Australia, in 1997 and a long-day environment at Lacombe, Alberta, Canada, in 1998. The Australian and Canadian barley cultivars used had different combinations of basic vegetative phase and daylength sensitivity. Barley grown at Lacombe reached each stage of phenological development in less time than at Northam. Most noticeable was a shorter duration of the period between seedling emergence to double ridge and between double ridge and awn emergence. At Northam, nearly 20% of the barley’s life cycle was spent on vegetative growth, just over 40% on ear/stem growth and close to 40% on grain filling. At Lacombe, barley spent nearly 55% of its life cycle filling grain and only 10% on vegetative growth and 35% on ear/stem growth. Later seeding accelerated all stages of development at Northam but only those stages until awn emergence at Lacombe. Late-sown barley at Lacombe took longer to reach physiological maturity. The relative contribution of each phase of crop growth was unaffected by date of seeding. Based on the time to awn emergence, Franklin was a very late flowering cultivar in both environments; Fitzgerald, Gairdner and Manley were late flowering; AC Oxbow and Harrington were mid-flowering; and Stirling was early flowering. Skiff was late flowering at North am but early flowering at Lacombe. Key words: barley (spring), phenological development, daylength sensitivity, basic vegetative phase

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.045
GPT teacher head0.234
Teacher spread0.188 · 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

Citations5
Published2001
Admission routes3
Has abstractyes

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