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Record W2377211396

Characteristic of Ceratoides arboresens Pollen Germination and Effects of Different Pollination Modes on Seed Setting

2007· article· en· W2377211396 on OpenAlexvenueno aff
Yi Jin

Bibliographic record

VenueSeed · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiocrusts and Microbial Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsPollenGerminationPollinationBiologyPollen sourcePollinatorBotanyHorticultureAgronomy
DOInot available

Abstract

fetched live from OpenAlex

In order to seek causes that seed setting rate of Ceratoides arboresens is low,Study of relativity among pollen viability,pollen life.Pollen germination rate and the seed setting was conducted under the cultivation in this paper By and adopting three pollination treatments including geitonogam,xenogamous and natural pollination,we found that Geitonogam seed setting rate(81.53%) was significant lower than xenogamous(88.6%)and natural pollination(92.6%).Using TTC dyeing determine Ceratoides arboresens fresh pollen viability and pollen life.The results show that pollen viability was 95% and pollen life can last 6 days.The best pollination time can last 1-3 days.It does not have question such as the pollen abortion and short lives.It does not have microspore growth barrier.Using fluorescence microscopy,pollen germination rate in three pollination modes was observed.The germination peak concentrates after pollination 3-4 h.The germination rate reaches 90% above.The results show that three pollination modes were not significant differences.Ceratoides arboresens does not have the pollen and stigma recognition barrier.The results show that there was no correlation between seed setting rate and pollen germination rate.It was concluded that Geitonogam reproduction barrier happened in pollination or embryonic development process.This remained to be further studied At present,There existed serious degeneration of wild population and mass reduce of vegetation density in Ceratoides arboresens,It could be concluded that Geitonogam was one of the important reasons.

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 score0.698
Threshold uncertainty score0.118

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 head0.006
GPT teacher head0.207
Teacher spread0.201 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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