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Record W2064833003 · doi:10.4141/p99-178

Morphological and cytological characters associated with low-temperature tolerance in wheat (<i>Triticum aestivum</i> L. em Thell.)

2000· article· en· W2064833003 on OpenAlexvenueno aff
A. E. Limin, Brian Fowler

Bibliographic record

VenueCanadian Journal of Plant Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant responses to elevated CO2
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyCultivarGuard cellLeaf sizeDrought toleranceBotanyCell sizeCold toleranceHorticultureHabitAgronomy

Abstract

fetched live from OpenAlex

Attempts to associate morphological or cytological characters with low-temperature (LT) tolerance in wheat (Triticum aestivum L. em. Thell.) and other members of the Triticeae group have met with ambiguous or contradictory results. Consequently no single character has emerged that can be considered a reliable predictor of LT tolerance. Twenty-six winter wheat cultivars of diverse origin were analyzed to determine the association among leaf length, width, area and cell size (guard cell length) and their association with LT stress tolerance. Measurements were made on plants grown at 4 °C and at 17 °C to determine if expression of LT tolerance associated characters was temperature dependent. At 4 °C, all individual leaf characters measured, including cell size, were very highly correlated with LT tolerance and with each other. Undisturbed plant height was not significantly correlated with LT tolerance until 5 wk of growth at 4 °C and reached its highest correlation at 10 wk when the plants were on average at their most prostrate state of growth. Growth at 17 °C resulted in much weaker relationships among all characters. At 4 °C short narrow leaves and small cell size were the best indicators of LT stress tolerance. Prostrate growth habit of plants grown at LT was also a good indicator of plant LT tolerance, but measurements of this character did not improve prediction equations based on leaf characters and cell size. Key words: Low-temperature tolerance, plant morphology, cell size, leaf characteristics, Triticum aestivum

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.894
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.177
Teacher spread0.169 · 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

Citations22
Published2000
Admission routes1
Has abstractyes

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