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Record W6986941903

Relationship of Grain Anthocyanins with Winter Hardiness in Rye (Secale cereale L.)

2024· dissertation· en· W6986941903 on OpenAlexfundaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
FundersAlberta Wheat CommissionNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsWestern Grains Research Foundation
KeywordsSecaleHardiness (plants)GerminationGreenhousePopulationCaryopsisPoaceaeFrost (temperature)
DOInot available

Abstract

fetched live from OpenAlex

Many Canadian varieties of autumn seeded rye (Secale cereale L.) demonstrate very high winter hardiness and have much higher winter field survival (WFS) scores than other cereal crops such as wheat and barley. This high frost tolerance for rye was in a previous study found to be associated with the production of glycosylated cyanidins in crown and leaf tissue during cold acclimation in the autumn. Anthocyanins and other flavonoid compounds are also present in the dark rye grain; thus, the possibility that WFS levels could be predicted from specific grain extractable compounds was investigated in this study. To produce grain for the analysis, 96 rye cultons with determined WFS scores were grown in a greenhouse environment (2020-2021) and under field conditions (2021-2022). The greenhouse population developed overall taller plants with longer spikes and awns as compared to the field plants. However, only the spike length of greenhouse plants showed a strong positive association with WFS (p<0.001; R2 = 0.386), whereas the seed protein concentrations was negatively associated (p<0.001; R2 = -0.206). For field plants, the germination frequency, plant height, and traits contributing to larger seeds (seed length, width, weight) were positively associated with WFS (p<0.001; R2 = 0.255 to 0.615), and similar to greenhouse grain, the seed protein concentration was negatively correlated (p<0.001; R2 = -0.309). These associations supported cultons developing large seeds with low protein concentration should be selected for WFS studies as these lines are more likely to produce a high germination frequency and have a high WFS. Determination of anthocyanin concentration in greenhouse grain revealed a wide distribution (0.9 to 10.7 µg mL-1) and a mean value of 3.1±1.6 µg, mL-1. A similar mean was seen for field grain (3.01 ± 1.0 µg mL-1) having concentrations ranging from 0.72 to 5.8 µg mL-1. Analysis of the grain extracts by high performance liquid chromatography (HPLC) and QTOF-MS analysis revealed nine identifiable anthocyanin compounds, which was fewer than the 18 identified for leaf and crown tissues. However, it was not possible to draw any firm conclusions regarding the association of grain anthocyanin concentration or specific anthocyanins with WFS scores. A large number of minor anthocyanins like compounds in the grains remained uncharacterized and a more detailed study on these is needed to definitely determine if any relationship exists between grain constituents and WFS scores. These studies can also add to the health benefits flavonoid compounds provide to rye products.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.221
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes2
Has abstractyes

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