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Genetic Diversity of <i>Phalaris arundinacea </i>Linn Germplasm Detected by SRAP Markers

2013· article· en· W2070246014 on OpenAlexaboutno aff
Kai Kai Cheng, Juan Du, Yan Hua Huang, Casler Michael, Yun Wei Zhang

Bibliographic record

VenueAdvanced materials research · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPasture and Agricultural Systems
Canadian institutionsnot available
FundersChinese Academy of Agricultural SciencesChinese Academy of Sciences
KeywordsPhalaris arundinaceaGermplasmGenetic diversityBiologyPolymorphism (computer science)Genetic similarityBotanyHorticultureVeterinary medicineAgronomyGeneticsGenotypeEcologyPopulationGeneWetland

Abstract

fetched live from OpenAlex

Sequence-related amplified polymorphism (SRAP) molecular marker was used to detect the genetic diversity of 25 accessions of Phalaris arundinacea Linn that collected from the USA, Russia, Kazakhstan, Canada, LanZhou and HuBei. The following results were obtained: 1) Sixteen primer pairs produced 131 polymorphic bands, with an average of 8.19 bands per primer pair. The percentage of polymorphic bands on average was 89.25%. The polymorphism information content (PIC) ranged from 0.784 to 0.9069, with an average of 0.8696. 2) The Neis genetic similarity coefficient of the tested accessions ranged from 0.5959 to 0.8425, and the average of Neis coefficient was 0.7422. These results suggested that there was rich genetic diversity among the resources of Phalaris arundinacea Linn. 3) Twenty-five accessions were clustered into five groups. Moreover, the accessions from the same or similar origin frequently clustered into one group. The findings implied that the correlation among the resources, geographical and ecological environment.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.426
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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.

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
Published2013
Admission routes1
Has abstractyes

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