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Record W2360415790

Effect of Chitosan on Seed Germination and Relevant Enzymes,Activity of Cotton

2012· article· en· W2360415790 on OpenAlexvenueno aff
Song Shushu, Zhu Qi-zhong, Rong Wang, Jie Yan, Kong Xiaojing

Bibliographic record

VenueSeed · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationChitosanPoint of deliveryAmylaseHorticultureChemistryAgronomyBiologyEnzymeBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Cotton seeds were soaked in chitosan solution of different concentrations(0.1%,0.2%,0.3%,0.4%,0.5%)for 12 hours in comparison with seeds in water.Then cultured them for 7 days at room temperature and 8 hours at natural light every day.Seed germination rate,germination power,germination index,vigor index and activity of a-amylase,POD and CAT were higher than the control.With the increasing of chitosan concentration,all indexes increaded at first and then decreased,When the concentration was 0.2%,the seed germination rate,germination energy,germination index,vigor index,a-amylase,POD and CAT activity were increased by 16.7%,3.17%,2.63,30.7,96.87%,37.42% and 33.78% respectively,and it was the optimum concentration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.245
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2012
Admission routes1
Has abstractyes

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