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Record W2361342253

Effect of Vigor Index of Non-heading Chinese Cabbage Seeds under PEG-6000 Simulating Drought,NaCl and Temperature Stress

2012· article· en· W2361342253 on OpenAlexvenueno aff
WU Han-hua, Xue Cao, Fangling Jiang, Wu Zhen

Bibliographic record

VenueSeed · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Soil, Plant Science
Canadian institutionsnot available
Fundersnot available
KeywordsSeedlingGerminationSuperoxide dismutaseCatalasePEG ratioPoint of deliveryProlineHydrogen peroxideHorticultureChemistryAntioxidantBrassicaReactive oxygen speciesBotanyAgronomyBiologyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

In this study,using non-heading Chinese cabbage(Brassica campestris ssp.chinensis Makino.) variety Aijiaohuang as material,seed germination,antioxidant-related indexes and osmoregulation substance were studied undre PEG-6000 simulating drought,NaCl and temperature stress.The results showed that: germination energy,germination rate,germination index and vigor index decreased with increasement of the three stresses,but abnormal seedling increased.With increasement of the three stesses,superoxide dismutase (SOD) and peroxidase(POD) activity decreased,catalase(CAT)activity firstly went up and then went down, active oxygen production speed increased,the hydrogen peroxide(H_2O_2) accumulated,so biofilm was damaged and the relative electrolyte leakage was increased.In the adversity stress,soluble suger,soluble protein and proline content increased.Comprehensive analysis showed that under the PEG-6000 simulating drought,NaCl and temperature stress,the disorder of antioxidant system led to reactive oxygen metabolism imbalance,the ability of osmotic adjustment was disorder,so caused by seed vigor decreased and even death.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.270

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 communication0.0000.000
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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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