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Record W2098177415 · doi:10.1139/cjb-2013-0272

Salinity-induced changes in the root development of a northern woody species, <i>Cornus sericea</i>

2014· article· en· W2098177415 on OpenAlexafffundvenue
Laura Davis, Michael Sumner, Claudio Stasolla, Sylvie Renault

Bibliographic record

VenueBotany · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEndodermisBiologyBotanySuberinSalinitySteleXylemShootPhloroglucinolWoody plantLigninEcology

Abstract

fetched live from OpenAlex

To study the salt-induced changes in root development, the roots of Cornus sericea L. exposed to NaCl (0, 50, and 100 mmol·L −1 ) for 4 weeks were sectioned at 1, 3, 5, 10, 15, and 25 cm from the tip, after having determined their increase in length. Observations were made on longitudinal and transverse sections from embedded tissues (stained with toluidine blue) and fresh tissues (examined under UV light or stained with Sudan red 7B or phloroglucinol-HCl). A modified outermost cortical layer was observed in C. sericea, suggesting the presence of a hypodermis or exodermis. While suberin was identified in the wall of the hypodermal cells, the presence of Casparian bands in these walls could not be clearly detected in sections stained with or without berberine-hemisulphate and aniline blue. Although the overall sequence of development of root tissues in C. sericea did not appear to be modified in salt-treated plants, the development of the hypodermis and endodermis occurred closer to the root tip in salt-treated plants. These altered root characteristics could have contributed to improve the salinity tolerance of the plants by limiting the amount of Na + and (or) Cl − reaching the shoots. Our results will provide useful information for the selection of boreal forest plants adequate for land reclamation, a major challenge for the oil sand industry faced with large areas of salt-affected land.

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 score0.834
Threshold uncertainty score0.949

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 head0.028
GPT teacher head0.215
Teacher spread0.187 · 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

Citations13
Published2014
Admission routes3
Has abstractyes

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