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Blue and red LED lighting effects on plant biomass, stomatal conductance, and metabolite content in nine tomato genotypes

2016· article· en· W2405512833 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueActa Horticulturae · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLight effects on plants
Canadian institutionsVariation Biotechnologies (Canada)
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsStomatal conductanceBiomass (ecology)HorticultureGenotypeMetaboliteBiologyAgronomyEnvironmental scienceBotanyPhotosynthesisGene

Abstract

fetched live from OpenAlex

A collection of nine tomato genotypes was chosen based on their diversity, phylogeny, availability of genome information, and agronomic traits. The objective of the study was to characterize the effect of red and blue LED (light-emitting diode) lighting on physiological, morphological, developmental, and chemical parameters. Two LED light treatments were imposed: (1): 100% red and (2): 88% red/12% blue (peak emission at 662 and 456 nm for red and blue light, respectively). The combination of blue and red LED lighting increased total dry matter in seven of the nine genotypes compared to red. Upward or downward leaf curling was observed in all genotypes in the 100% red treatment. Stomatal conductance was not affected much by additional blue light, but blue light increased chlorophyll and flavonol contents in three genotypes. The exposure of tomato plants to a combination of red and blue LEDs alleviated leaf morphological abnormalities and enhanced plant biomass, and variably affected stomatal conductance and secondary metabolism compared to red light alone.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.283

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 head0.197
Teacher spread0.181 · 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