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Record W2392919218

Identification and Quality Traits Analysis on A Big Seed Mutant bs-1 of Native Rice Variety Lailong in Guizhou

2014· article· en· W2392919218 on OpenAlexvenueno aff
Sun Peng-zha

Bibliographic record

VenueSeed · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsMutantPhotosynthesisWild typeHorticultureBiologyOryza sativaGrain qualityProlineBotanyChemistryBiochemistryGeneAmino acid
DOInot available

Abstract

fetched live from OpenAlex

A big seed mutant bs-1 was obtained and identified from EMS( Ethyl methyl sulfone) treated Guizhou native rice variety Lailong. The morphological and cytological observation,as well as photosynthetic characteristics and quality evaluation of this mutant have been investigated and analyzed in this study. The results showed that bs-1 mutant has the phenotype of one more internode,shorten internode length,longer internode cell and larger grain size compared to wild type. Both the bs-1 mutant and wild type maintain a increasing photosynthetic rate during the early stage of growth,while a higher net photosynthetic rate was observed in bs-1 plants during all growth stages. Comparison of rice quality traits between bs-1 mutant and wild type indicated that bs-1 mutant has the same level of gel consistency,alkali spreading value,zinc content as wild type. While it has lower content of 16 amino acids,crude protein,crude fiber and iron and higher content of amylase,phenylalanine and selenium.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

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)0.0010.000

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 head0.034
GPT teacher head0.264
Teacher spread0.230 · 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 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
Published2014
Admission routes1
Has abstractyes

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