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No significant relationship exists between seedling relative growth rate under nutrient limitation and potential tissue toxicity

2002· article· en· W2166982034 on OpenAlexafffund
Jarcilene Silva de Almeida‐Cortez, W Shipley

Bibliographic record

VenueFunctional Ecology · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyToxicityRelative growth rateInterspecific competitionHerbaceous plantNutrientShootBotanyGrowth rateEcology

Abstract

fetched live from OpenAlex

Summary We asked two questions in this study: (i) is there is there a negative correlation between relative growth rate (RGR) among 19 species of herbaceous Asteraceae grown under nutrient limitation and potential tissue toxicity; and (ii) is the degree of toxicity of these species different than those measured in a previous study, in which the same species were grown under non‐limiting conditions? In the present study we grew 19 of the same species as previously in hydroponic sand culture for which the growth rate was limited by nutrient supply, and compared RGR and potential tissue toxicity due to secondary compounds. Under such conditions, RGR was reduced by 25%; specific leaf area was reduced by 32%; root : shoot ratios were increased by 320%; leaf nitrogen content was reduced by 69%; and potential toxicity was decreased by 46%. Although nutrient limitation clearly decreased both RGR and potential toxicity, we found no interspecific correlation between RGR and toxicity. We conclude that there was no detectable trade‐off between RGR and potential toxicity due to secondary compounds.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.897

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)0.0010.001

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 head0.043
GPT teacher head0.223
Teacher spread0.180 · 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

Citations6
Published2002
Admission routes2
Has abstractyes

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