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Record W2740767484 · doi:10.1139/cjb-2017-0086

Effects of photoperiod, thermoperiod, and salt stress on <i>Gymnocarpos decandrus</i> seeds: potential implications in restoration ecology activities

2017· article· en· W2740767484 on OpenAlexvenueno aff
Arvind Bhatt, Andrea Santo

Bibliographic record

VenueBotany · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationBiologySowingSoil salinitySalinityPerennial plantEcophysiologyAridAgronomySoil seed bankRestoration ecologyHorticultureSoil waterAbiotic componentBotanyEcology

Abstract

fetched live from OpenAlex

Gymnocarpos decandrus Forssk. (Caryophyllaceae) is a perennial plant widely used for its ability to protect the soil from erosion. The aim of this study was to evaluate the effects of salt stress on its seed germination, with the potential objective to sow seeds instead of planting adult individuals in salt-damaged areas, which would greatly reduce the economic costs of ecological restoration activities. Germination tests were conducted under two photoperiods and three thermoperiods, and with several concentrations of NaCl. The ability of seeds to recover their germinability after salt exposure was also evaluated. The highest rates of germination occurred at 20/30 °C in the light, but no seed germinated in the salt substrate. When exposed to NaCl, only a few seeds (no more than 20%) recovered their germinability and only at the lowest salinity, indicating that this species is highly glycophytic. The inability of its seeds to germinate in saline soils or to successfully recover from exposure to NaCl shows that G. decandrus may be used in rehabilitation programs of degraded lands in arid regions, but only when planting adult plants. Our results will help conservation biologists or people involved in ecological restoration activities to avoid the economic waste associated with unsuccessful sowing of G. decandrus seeds in saline soils.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.181

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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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