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Pre‐ and post‐dispersal factors regulate germination patterns and structural characteristics of Scotch thistle (<i>Onopordum acanthium</i>) cypselas

2003· article· en· W2126984396 on OpenAlexaff
Mirwais M. Qaderi, Paul B. Cavers, Mark A. Bernards

Bibliographic record

VenueNew Phytologist · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsWestern University
Fundersnot available
KeywordsGerminationDormancyBiologyThistlePhenologyHorticultureShootBiological dispersalRipeningBotanyPopulation

Abstract

fetched live from OpenAlex

• Although Scotch thistle (Onopordum acanthium) is known to have cypselas whose dormancy is affected by maturation temperature, a detailed study of plant development, cypsela structure and germination responses after maturing under contrasting temperatures has not been done. • Plants were grown under high and low temperature regimes in glasshouses and under field conditions in 2000 and 2001. Each year, phenological and developmental characteristics of plants were monitored and cypselas were collected twice. Cypselas were germinated fresh and after 4 months after-ripening, and also examined for surface and internal characteristics by scanning electron microscopy. • Plants from the lower temperature regime were taller, had thicker shoots, larger leaves, larger capitula that appeared sooner, and more, slower-to-mature and larger cypselas with smoother surfaces, thicker coats and higher moisture contents. However, their germination percentages were lower. After after-ripening most cypselas germinated. • In both years, consistent and significant differences in germination patterns and structural characteristics between cypselas from the two temperature regimes indicated that both pre- and postdispersal factors were involved in regulating the germinability of O. acanthium cypselas.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.264

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 head0.016
GPT teacher head0.242
Teacher spread0.227 · 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

Citations47
Published2003
Admission routes1
Has abstractyes

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