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Record W2563094435 · doi:10.1139/cjps-2016-0089

Effects of red/far-red light ratio on common lamb’s-quarters, redroot pigweed, and tomato plants

2016· article· en· W2563094435 on OpenAlexafffundvenue
Li Ma, Mahesh K. Upadhyaya

Bibliographic record

VenueCanadian Journal of Plant Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLight effects on plants
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFar-redCompetition (biology)BiologySolanumShootCanopyWeedPerennial plantChenopodiumBotanyShade avoidanceHorticultureAgronomyRed lightEcology

Abstract

fetched live from OpenAlex

Red/far-red (R/FR) ratio, a signal of impending competition from neighbouring plants, fluctuates in plant canopies because of selective absorption of red light and transmission and reflection of far-red light by leaves. The differential response of a crop and associated weeds to changes in R/FR ratio could therefore influence competitive interaction among them. In a growth chamber study, growth, morphological, and allometric responses of common lamb’s-quarters (Chenopodium album L.), redroot pigweed (Amaranthus retroflexus L.), and tomato (Solanum lycopersicum L.) seedlings to changes in R/FR ratio were investigated. Low R/FR ratio increased plant height, stem length below the first node, stem diameter, leaf length, and stem/shoot weight ratio, and decreased leaf greenness, leaf/shoot weight, and leaf/stem weight ratios in some or all of these species; the species differed significantly in this regard. Total length and surface area of tomato root were greater under low R/FR ratio. R/FR ratio did not affect root parameters of lamb’s-quarters and pigweed. The observed differential response to R/FR treatment suggests that fluctuations in R/FR ratio in a canopy of mixed populations could impact interactions among these species.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.805

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 science0.0010.000
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 head0.007
GPT teacher head0.185
Teacher spread0.177 · 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 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

Citations9
Published2016
Admission routes3
Has abstractyes

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