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Record W4376280570 · doi:10.1002/cche.10679

Determining the impact of genotype × environment on oat protein isolate structural and functional characteristics

2023· article· en· W4376280570 on OpenAlexaffabout
Roshema Mel, Kathleen Gough, Kirby T. Nilsen, Aaron D. Beattie, Maneka Malalgoda

Bibliographic record

VenueCereal Chemistry · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversity of SaskatchewanAgriculture and Agri-Food CanadaUniversity of Manitoba
Fundersnot available
KeywordsCultivarChemistryGenotypeFood scienceBotanyBiochemistryBiologyGene

Abstract

fetched live from OpenAlex

Abstract Background and Objectives The effect of genotype × environment (G × E) on oat protein structural characteristics and functionality was studied using three oat genotypes grown in three different environments across the Canadian Prairies. Findings The protein content of oat protein isolate (OPI) ranged from 76.9% to 90.2%. All structural characteristics except protein surface hydrophobicity were significantly impacted by G × E, whereas protein surface hydrophobicity strongly depended on the growing environment. SDS‐PAGE and FT‐IR analysis demonstrated that oat protein profile and secondary structure were significantly impacted by genotype rather than environment. Cultivar Summit grown in Alberta had the highest foaming capacity which was significantly higher than Summit grown in the other environments, indicating a strong influence of environment on OPI foaming capacity. Conclusion The structure‐function properties of OPI extracted from the given cultivars were influenced by G × E however, further studies are needed to evaluate the stability of the tested cultivars over several years. Significance and Novelty Understanding how OPI structure and functional properties are influenced by G × E will allow better utilization of OPI in the food industry by facilitating the development of OPI ingredients with predictable functional properties.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.236

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 head0.027
GPT teacher head0.225
Teacher spread0.198 · 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

Citations5
Published2023
Admission routes2
Has abstractyes

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