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Record W2905483615 · doi:10.1139/cjb-2018-0047

The photosynthetic apparatus of <i>Conocarpus lancifolius</i> Engl. (Combretaceae) suffers damage in soil contaminated with heavy metals

2018· article· en· W2905483615 on OpenAlexvenueno aff
Amina Redha, Redah Al-Hasan, Jacquilion Jose, Divya Saju, Mohammad Afzal

Bibliographic record

VenueBotany · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLeaf Properties and Growth Measurement
Canadian institutionsnot available
Fundersnot available
KeywordsPhotosynthesisCombretaceaeBiologyBotanyCadmiumChloroplastChlorophyllPhytoremediationHorticultureChlorophyll fluorescenceChemistryContaminationEcology

Abstract

fetched live from OpenAlex

Conocarpus lancifolius Engl. (Combretaceae), a heat tolerant plant, has potential for use in the phytoremediation of polluted soil. We analyzed the physiological changes in C. lancifolius exposed to single and mixed heavy metals (HMs; cadmium, nickel, and lead). For 30 days under controlled growth conditions, we exposed some groups of plants to a single HM at concentrations of 25 or 50 μmol·L –1 and other groups were exposed to 25 μmol·L –1 of a mixture of HMs. Photosynthetic parameters such as electron transport rate, photosynthetic rate, chlorophyll fluorescence, chlorophyll content index, and photosynthetic pigments were measured. Chloroplast morphology was studied by transmission electron microscopy (TEM). In plants exposed to 25 μmol·L –1 of HMs, the photosynthetic parameters were unaffected, whereas at 50 μmol·L –1 of HMs, all parameters significantly decreased up to 20 days of exposure, followed by an increase up to 30 days, indicating a slow adaptation of plants to HM under stress. Compared with the single HMs, mixtures of HMs were more toxic at the same concentration. All parameters indicated damage to the photosynthetic apparatus due to stress from 25 μmol·L –1 of the HM mixtures and 50 μmol·L –1 of the single HMs. TEM analyses showed a dispersion of grana in the chloroplast of the affected C. lancifolius plants.

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 score0.533
Threshold uncertainty score0.517

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 science0.0000.000
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 head0.018
GPT teacher head0.201
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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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