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Record W2389215428

Stady on Enhancement of Chilling and Drought Resistance in Tobacco Seeds and Seedlings by Seed Priming with Gibberellin

2014· article· en· W2389215428 on OpenAlexvenueno aff
Kan Pin

Bibliographic record

VenueSeed · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationSeedlingPriming (agriculture)GibberellinShootDrought stressBiologyHorticultureDrought resistanceAgronomy
DOInot available

Abstract

fetched live from OpenAlex

In this study,seeds of tobacco was taken as experimental materials,using 0. 05,0. 10,0. 15,0. 50,1. 00 mmol / L of gibberellin( GA 3) to prime tobacco seeds,and the priming effects on seed germination and seedling growth under normal culture,drought,low temperature,and drought-low temperature cross stress were studied. The Results showed that the seed priming with GA 3 could improve significantly the germination potential,germination rate and germination index of tobacco seeds,shorten germination time,increase the root and shoot length,and fresh and dry weight of tobacco seedings under normal culture,drought,low temperature and drought-low temperature cross stress conditions,and the best obtained effects was in with 0. 5 mmol / L GA 3 the present experiments. As a conclusion,the seed priming with gibberellin could enhance simultaneously the chilling and drought resistance of tobacco seeds and seedlings.

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 score0.002

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 head0.008
GPT teacher head0.202
Teacher spread0.194 · 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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