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Record W2367306157

Study on Drought Resistance of Five Kinds Forage and Crops During Seed Germination Period under PEG Stress

2013· article· en· W2367306157 on OpenAlexvenueno aff
Liu Guihe, Guo Yupin, Ren Yong-xia, Cao Chun-mei

Bibliographic record

VenueSeed · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPasture and Agricultural Systems
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationSorghumForageAgronomyPEG ratioBiologyHorticulture
DOInot available

Abstract

fetched live from OpenAlex

Five kinds of forage and crops(alfalfa,sweet clover,rumex K-1,chicory,Sorghum hybrid sudangrass) seeds were selected as the materials in this paper,with different concentrations of PEG-6000(0,5%,10%,15%,20%,25% and 30%) simulated drought stress conditions,drought resistance of five kinds of forage and crops during seed germination was studied.The relative germination percentage,relative germination index,relative vigor index and drought index were determined.The results showed: It had significant influence among PEG concentrations for seeds germination(p 0.01).There was significant difference among the five species about the relative germination percentage,relative germination index,relative vigor index(p 0.01).The low content PEG-6000 improved seed germination of Rumex K-1,Sorghum hybrid sudangrass,and Sorghum hybrid sudangrass of the drought resistance index,but with the concentration of PEG-6000 increased,the inhibitory also increased,four indexes decreased with increasing concentration of PEG-6000.The comprehensive evaluation of the five species by the membership function method indicated that the drought resistances decreased in the order was Sorghum hybrid sudangrass,Rumex K-1,Alfalfa,Sweet clover,Chicory.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.169

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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 designObservational
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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