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Record W2170379535 · doi:10.1271/bbb.120752

Effects of Exogenous Abscisic Acid on Carbohydrate Metabolism and the Expression Levels of Correlative Key Enzymes in Winter Wheat under Low Temperature

2013· article· en· W2170379535 on OpenAlex

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

VenueBioscience Biotechnology and Biochemistry · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsScience North
FundersNortheast Agricultural University
KeywordsAbscisic acidSucroseFructoseEnzymeSugarCarbohydrateCarbohydrate metabolismCultivarBiochemistryBiologyGene expressionMetabolismChemistryGeneBotany

Abstract

fetched live from OpenAlex

Two wheat (Triticum aestivum) cultivars, freeze-tolerant Dongnongdongmai 1 and freeze-sensitive Jimai 22, were used in this study. They were grown under field conditions, the leaves were sprayed with 1 × 10(-5) mol/L ABA and distilled water as control respectively at the three-true-leaf stage. Application of exogenous ABA increased the accumulation of carbohydrates in both cultivars, mainly in sucrose and fructose, except that the fructose content decreased in the leaves of Jimai 22. Exogenous ABA also enhanced the expression of key enzyme genes, especially in Dongnongdongmai 1 above 0 °C and in Jimai 22 below 0 °C. The carbohydrate contents and expression levels of the genes encoding key enzymes showed co-regulation in some, but not all of the pathways examined. Taken together, the higher sugar accumulation and the upregulation in expression of key enzymes in freeze-tolerant Dongnongdongmai 1 due to exogenous ABA suggest that active carbohydrate metabolism is mainly associated with the freeze tolerance of Dongnongdongmai 1.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.407

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 studies0.0000.001
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 head0.005
GPT teacher head0.184
Teacher spread0.179 · 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