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Record W1587450601 · doi:10.3168/jds.2014-9290

Effects of conditioning temperature and time during the pelleting process on feed molecular structure, pellet durability index, and metabolic features of co-products from bio-oil processing in dairy cows

2015· article· en· W1587450601 on OpenAlexafffund
Xuewei Huang, Colleen Christensen, Peiqiang Yu

Bibliographic record

VenueJournal of Dairy Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaWestern Grains Research FoundationSaskatchewan Forage NetworkSaskatchewan Canola Development CommissionMinistry of Agriculture - Saskatchewan
KeywordsConditioningPelletChemistryPelletsCarbohydrateFood scienceCanolaMealChromatographyBiochemistryMaterials science

Abstract

fetched live from OpenAlex

The objectives of this study were to systematically determine effects of conditioning temperature (70, 80, and 90°C), time (50 and 75 s), and interaction (temperature × time) during the pelleting process on co-products from bio-oil processing (canola meal) in terms of processing-induced changes on (1) protein molecular structure, (2) pellet durability index, (3) detailed chemical profile, (4) metabolic features and fractions of protein and carbohydrate, (5) total digestible nutrients and energy values, and (6) rumen degradable and undegradable content. Pellet durability was increased with increasing conditioning time. Chemical and carbohydrate profiles of co-products were not altered by pelleting process under different conditioning temperatures and times. With regard to protein fraction profiles, pellets conditioned for 50 s had higher soluble crude protein (SCP) and lower neutral detergent insoluble crude protein (NDICP) contents than those conditioned for 75 s (21.7 vs. 20.1% SCP, 16.0 vs. 16.5% NDICP, respectively). Total digestible nutrients and energy values were not altered by processing. Samples conditioned for 50 s had a higher content of rapidly degradable protein fraction (PA2) than those conditioned for 75 s (21.7 vs. 21.1% crude protein). In addition, the slowly degradable true protein fraction (PB2) was affected by the interaction of conditioning temperature and time. However, carbohydrate fractions did not differ with different conditioning temperatures and time. Different temperatures and time of conditioning during pelleting process greatly affect protein profiles without altering carbohydrate profiles. Molecular structure analyses also showed that pelleting altered inherent protein molecular structures of the co-products from bio-oil processing. Future study is needed to detect how molecular structure changes affect nutrient availability in dairy cattle.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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)0.0000.000

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 head0.009
GPT teacher head0.237
Teacher spread0.229 · 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 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

Citations29
Published2015
Admission routes2
Has abstractyes

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