MétaCan
Menu
Back to cohort
Record W7019072725

Feasibility of storing canola in silo bags (harvest bags)

2016· dissertation· en· W7019072725 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsnot available
Fundersnot available
KeywordsCanolaSiloGerminationMoistureWater content
DOInot available

Abstract

fetched live from OpenAlex

Silo bags are a recently-developed temporary grain storage system that is becoming more widely used in Western Canada without any scientific information about the effect of changing conditions over time on seed quality. The main goal of this study was to examine the conditions that would allow safe storage of canola in these bags in the Canadian Prairie provinces. Canola at three different moisture contents (m.c.) 8.9, 10.5 and 14.4% (wet basis), which represent dry, straight and damp classifications, were stored in silo bags for 40 weeks and seed germination, free fatty acid value (FAV), and moisture content of canola were analysed every 2 weeks along with carbon dioxide concentrations of intergranular air and temperature of canola. For dry grade canola, the germination was maintained above 90%, and FAV stayed within 1.5 times the initial value. However, the germination of damp canola dropped to below 80%, and FAV doubled its initial value within 8 weeks of storage. Another study was conducted for two storage years (2011-12 and 2013-14) to determine the changes in grain quality over time while storing 12% moisture content canola seeds in silo bags. The germination of canola seeds at most parts of the silo bags stayed above a safe level up to the end of the winter season. At the top layer of the silo bags, germination of canola seeds decreased to below 30% and FAV increased more than 2-fold of initial values during summer storage. A polynomial regression model was developed using field data to predict CO2 concentration inside a silo bag with canola. The coefficient of determination of this regression model was 0.76 and had a root mean square error (RMSE) value of 0.196. The standardized coefficients indicated that initial moisture content was 3.9 times more important than storage temperature for CO2 prediction. Permeability to CO2 and O2 of the silo bag material was determined using a specially designed testing unit and the permeability of silo bag material to CO2 was 21.61 ±1.50×10-6 m3 m d-1m-2atm-1, and for O2 was 1.95 ± 0.36×10-6, m3 m d-1m-2atm-1 at room temperature.

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)0.001
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 score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.226
Teacher spread0.215 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)Same topicNitrogen and Sulfur Effects on BrassicaFrench-language works237,207