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Record W2348722992

Effects of Endophyte-infected Leymus chinensis on Seed Germination of Stipa krylovii

2012· article· en· W2348722992 on OpenAlex
Wu Lian

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZhiwu yanjiu · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Parasitism and Resistance
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsLeymusGerminationEndophyteSeedlingBiologyRadicleAgronomyPoaceaeEleusine indicaBotanyGrasslandWeed
DOInot available

Abstract

fetched live from OpenAlex

Leymus chinensis and Stipa krylovii,two dominant species in the Inner Mongolia Steppe,were used as the experimental materials.The aim of this study was to test whether endophyte infection of L.chinensis would influence seed germination of S.krylovii when treated with organs in vitro or the whole plant.The results showed that endophyte infection could change the effects of host plant L.chinensis on seed germination of S.krylovii,the effect was related to grass organs,treatment methods and concentrations.Compared with endophyte-free(E-) leaves,endophyte-infected(E+) green leaves significantly increased seed germination rate of S.krylovii in lower concentration while decreased radicle growth of S.krylovii in higher concentration.E+ dead leaves could reduce radicle growth of S.krylovii more than E-leaves while E+ rhizome increased the germination rate more than E-leaves.As for the whole plant,endophyte infection had no significant effect on seed germination of S.krylovii.When treated with the same concentration,grass powder exhibited a stronger reduction in seed germination and seedling growth than water extract,and green leaves exhibited a stronger reduction in seed germination and seedling growth than dead leaves.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.170

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 head0.007
GPT teacher head0.206
Teacher spread0.199 · 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