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Record W2366090555

Evaluation of Drought Resistance on Seed Germination of Different Sunflower

2015· article· en· W2366090555 on OpenAlexvenueno aff
Wang Ting-tin

Bibliographic record

VenueSeed · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSunflower and Safflower Cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationSunflowerInbred strainBiologyPEG ratioAgronomyHorticultureDrought resistanceDry weightDrought toleranceDrought stressPolyethylene glycol
DOInot available

Abstract

fetched live from OpenAlex

In this study,with two optional inbred lines K 55,K 58 as parents,it crossed F1 generation,F1 selfing got F2,finally obtained a F5 RILs populations which contain 187 plants by single-seed descent method as the experimental material.It had 8groups of polyethylene glycol(PEG-6000)concentration gradient for parents and hybrid F1 generation conditions for experiment,screened drought critical concentration of 20% PEG-6000 was screened to carnied the droaght stress test with the remaining 187 recombinant inbred lines material.The aim of this study is to study the effects of drought stress on sunflower seed germination,to provide a theoretical basis in terms of research on drought resistance of sunflower later and on QTL mapping.The results showed that the germination rate,sprout potential,germination index,embryonic bud lenth,embryonic root length,embryonic bud and embryonic root fresh weight and dry weight decreased.With the increasing of drought concentration,the inhibition enhanced gradually in F5 RILs.Every character showed significant or over significant differences in experimental materials under two different conditions,normal water and drought.Besides,it presents normal distribution and shows significant or over significant positive correlation between characters.

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 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 score0.899
Threshold uncertainty score0.139

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.056
GPT teacher head0.273
Teacher spread0.217 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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