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Record W2355586311

Seed Dormancy and Germination of Endangered Plant Monimopetalum chinense

2012· article· en· W2355586311 on OpenAlexvenueno aff
Zhang Jianwei

Bibliographic record

VenueSeed · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationDormancyStratification (seeds)Seed dormancyHorticulturePopulationBiologyWater contentAbsorption of waterBotanyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Monimopetalum chinense Rehd,is the specific species in a single genus of China.It was listed as one of national proteceted plants at the second category in Chian because of its extremely low ability of regeneration in natural population.Several physiological indexes like the weight per 1 000-seed,content of moisture,the rate of water absorption and seed vigor were measured.The germination rate were determined under different treatments of stratification,sulphuric acid treatment and the combination of presoaking the seeds with GA3.The result showed that the 1 000-seed weight and average water content of the seeds were(4.504 8±0.055 8)g,13.18%±1.84%,resp.The rate of water absorption was 29.95%±1.58%,the seed vigor was 94.25%±0.017 1%,but the germination of seed was 0.Stratification time had no significant effect on germination percentage(GP),the highest GP was only 2.67%±1.53%.The treatment of soaking seed 20 min under 50% H2SO4,the GP was 18.00%±3.46%.The treatment of seed soaked 24 hours under 250 mg/kg,5 000 mg/kg,1 000 mg/kg of GA3,and 75 days of stratification,the GP were 72.67%±7.02%,68.00%±3.46,64.00%±5.29%,resp,but the GP of ck was 1.67%±1.15%.The results of this study illustrated the dormancy of M.chinense seeds could be breaken effectively.The mechanical and permeability barrier of seed coat had a negative effect on germination to a certain extent,seed dormancy of M.chinense was might be due to the inhibitory substances in the seed.The presoaking seed with GA3 was one of the best way to break dormancy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.107

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 head0.016
GPT teacher head0.224
Teacher spread0.208 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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