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Record W2035918674 · doi:10.5539/jas.v3n2p89

Production of Reactive Oxygen Species and Antioxidant Metabolism about Strawberry Leaves to Low Temperatures

2011· article· en· W2035918674 on OpenAlexvenueno aff
Ya Luo, Haoru Tang, Yong Zhang

Bibliographic record

VenueJournal of Agricultural Science · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsAPXAntioxidantGlutathione reductaseCatalaseChemistryReactive oxygen speciesOsmolyteProlineGlutathionePeroxidaseFood scienceFragariaHorticultureAscorbic acidBotanyLipid peroxidationBiochemistryBiologyEnzymeGlutathione peroxidaseAmino acid

Abstract

fetched live from OpenAlex

This study examined the influence of low temperature on the production of reactive oxygen species and antioxidant metabolism in two strawberry (Fragaria ananassa Duch.) cultivars (cv. Zoji and Toyonaka). Low temperature treatment was imposed by maintaining the plants at 0? for 2, 4, 6, 8, 12, 24, 48 and 72 h in an artificial intelligent growth chamber. During the period of low temperature treatments, the activities of peroxidative (POD), superoxide disumutase (SOD), catalase (CAT), ascorbate peroxidase (APX), dehydroascorbate (DHAR), glutathione reductase (GR), the production of O2- and H2O2, as well as the contents of antioxidant such as dehydroascorbate and reduced glutathione were up-regulated exception of the contents of ascorabte and chlorophyll in compared with the control. Meanwhile, cv. Toyonaka showed more tolerant to low temperatures than cv. Zoji since it showed higher activities of antioxidative enzymes, more contents of osmolytes (proline and soluble sugar) and less lipid peroxidation during the low temperature treatments. The present study suggested that plant had signal molecules sensing the environmental stress, following erecting its defensive system protective them against the damage caused by stress environment. However, if the stress were too powerful, plants could not response to acclimate that stress, the plants would be injured or even be dead finally. In the two cultivars examined, cv. Toyonaka has a more efficient antioxidant system against low temperature than cv. Zoji.

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 score0.726
Threshold uncertainty score0.175

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.212
Teacher spread0.194 · 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

Citations51
Published2011
Admission routes1
Has abstractyes

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