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Record W2028067911 · doi:10.5539/ep.v1n2p21

Natural Ultra Violet Radialtion on Field Grown Rice (Oryza sativa L.) Plants Confer Protection against Oxidative Stress in Seed during Storage under Subtropical Ambience

2012· article· en· W2028067911 on OpenAlexvenueno aff
Sudeshna Shyam Choudhury, Swati Sen Mandi

Bibliographic record

VenueEnvironment and Pollution · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsnot available
Fundersnot available
KeywordsOryza sativaBiologySubtropicsOxidative stressAntioxidantOxidative damageHorticultureRelative humidityAgronomyFood scienceBotanyBiochemistryGene

Abstract

fetched live from OpenAlex

While heat and humidity are known for causing oxidative macromolecular cell damage related seed deterioration during storage under subtropical conditions, information on effect of UV radiation that is also known to cause bio-molecular as well as direct hit damage in plants is largely lacking. A study involving measurements of UV irradiance in seed storage and also over open fields during seed maturation reveals an inverse correlation between genetically conferred (varietally expressed) content of non-enzymatic antioxidant viz flavonoids (functioning also as successors) and seed deterioration during post harvest storage. The data shows that extent of cell damage and thus seed viability is related to the varietal difference in flavonoids accumulation in mature rice seed. Low storer/viable varieties show lower content of flavonoids and higher oxidative damage in stored seed.

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 score0.001
Threshold uncertainty score0.005

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 head0.017
GPT teacher head0.216
Teacher spread0.200 · 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

Citations7
Published2012
Admission routes1
Has abstractyes

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