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Record W2355703653

Effects of Common Seed Soaking Medicament on Seed Vigor and Membrane Permeability for Hybrid Japonica

2009· article· en· W2355703653 on OpenAlexvenueno aff
HE Jian-hua

Bibliographic record

VenueSeed · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationSeedlingMembrane permeabilityJaponicaPhytotoxicityHorticultureBiologyAgronomyChemistryBotanyMembraneBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Used the hybrid japonica seeds of Changyou 1 and 3 as material,different diluted concentrations of jinfeng and shibaike soaked rice seed to study the change of germination potential,germination rate,vigor index and Membrane Permeability etc.The result showed that concentration of jinfeng increased to under two times,seed germination and growth had no signifficiently chang,but seed germination inhibited heavily wen increased to four times.Shibaike concentration increased under four times,seed germination had no significient influence,but seedling growth inhibited heavily,and the inhibition become obviously with concentration.Through analysis the correlation of germination potential,germination rate and vigor index to conductivity,the result suggested that treatmented with the two kinds of potions,it was mainly potions concentration too high and interferenced of inhibited physiological metabolism and seedling growth,causing phytotoxicity in the last.

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 score0.825
Threshold uncertainty score0.202

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 head0.239
Teacher spread0.228 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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