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Record W1783582076 · doi:10.1139/cjb-2014-0194

Single and combined effects of temperature and red:far-red light ratio on evening primrose (<i>Oenothera biennis</i>)

2015· article· en· W1783582076 on OpenAlexafffundvenue
Mirwais M. Qaderi, Victoria J. Godin, David M. Reid

Bibliographic record

VenueBotany · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLight effects on plants
Canadian institutionsUniversity of CalgaryMount Saint Vincent University
FundersMount Saint Vincent University
KeywordsPhotosynthesisTranspirationFar-redBotanyBiologyStomatal conductanceEvening primroseHorticulturePigmentBiomass (ecology)ChemistryRed lightAgronomyFood science

Abstract

fetched live from OpenAlex

Few studies have considered the interactive effects of temperature and red:far-red light ratio (R:FR) on plants. We studied the effects of these two factors on evening primrose (Oenothera biennis L.). Plants were grown under two temperature regimes (22 °C day – 18 °C night and 28 °C day – 24 °C night) and two R:FR light ratios (low, simulated shade FR enrichment and normal, simulated natural sunlight) in controlled-environment chambers and their growth and physiological characteristics were measured. Among the 23 parameters, 20 were affected by temperature, 21 were affected by light quality, and 16 were affected by their interactions. Higher temperatures increased stem height, photosynthetic pigments, and ethylene, but decreased gas exchange and, in turn, plant biomass. Low R:FR increased stem height, transpiration, stomatal conductance, and ethylene, but decreased photosynthetic pigments, water-use efficiency, and photosynthesis and, in turn, plant biomass. Distinct parallel patterns were found for the combined effects of temperature and light quality. Plants had 2.3 times lower total biomass under lower temperatures at low R:FR than under the same temperatures at normal R:FR. However, plants had 2.8 times lower total biomass under higher temperatures at low R:FR than under the same temperatures at normal R:FR. We conclude that the interactive effects of temperature and R:FR are different than that of the single factors on the natural populations of O. biennis.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.195
Teacher spread0.184 · 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 designBench or experimental
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

Citations18
Published2015
Admission routes3
Has abstractyes

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