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Record W2353353297

Study on Shattering and Growth,Physiological Characteristics of Poa. pratensis var. anceps During the Process of Seed Development

2009· article· en· W2353353297 on OpenAlexvenueno aff
Yan HongBo

Bibliographic record

VenueSeed · 2009
Typearticle
Languageen
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationPoa pratensisStarchSeedingAgronomyBiologyWater contentHorticultureFood sciencePoaceae
DOInot available

Abstract

fetched live from OpenAlex

The correlation of shattering and growth,physiological characteristics of Poa.pratensis var.anceps during the process of seed development was researched in this study.The results indicated that there were very significant negative correlation between shattering rate and mositure content,soluble carbohydrate content,conductivity rate.And there were very significant positive correlation between shattering rate and seeds dry weight,starch content,TTC content,germination percentage,germination index,vigor index,seeding length,days after flowering stage.After blooming 28 days Poa pratensis seeds with water content of 35%,germination percentage of 83.33%,germination index of 68.67,vigor index of 98.36,seeding length of 2.45 cm,conductivity rate of 346.01 μS/cm,TTC content of 54.46 μg/ml,soluble carbohydrate content of 7.27%,starch content of 14.83%and shattering rate of 15.89%,at this time,seeds yield and quality were the best,it was the optimum time for seeds harvest.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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)0.0000.000

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 head0.012
GPT teacher head0.220
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 source (direct Gemma or distilled Codex), 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
Published2009
Admission routes1
Has abstractyes

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