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Record W2796660642 · doi:10.1093/jas/sky073.258

261 Effects of extrusion and particle size on nutrient and energy digestibility of wheat millrun in growing pigs.

2018· article· en· W2796660642 on OpenAlexaff
Urbano dos Santos Ruiz, L F Wang, E. Beltranena, R. T. Zijlstra

Bibliographic record

VenueJournal of Animal Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsAlberta Ministry of Agriculture and ForestryUniversity of Alberta
Fundersnot available
KeywordsExtrusionAnimal scienceParticle sizeLatin squareChemistryFecesFood scienceBiologyMaterials scienceFermentationMetallurgy

Abstract

fetched live from OpenAlex

Particle size reduction and extrusion can increase the nutritional value of feedstuffs for pigs, but effects on wheat millrun are unclear. Thus, apparent ileal digestibility (AID) of DM, GE, CP, and AA, standardized ileal digestibility (SID) of AA and CP, and apparent total tract digestibility (ATTD) of DM and GE of coarsely or finely ground wheat millrun that was extruded or non-extruded were evaluated in pigs. Wheat millrun was ground in a hammer mill, and either extruded (X115, Wenger, Sabetha, KS) or not. Samples were ground finely (non-extruded: 283 µm; extruded: 276 µm) or coarsely (non-extruded: 508 µm; extruded: 470 µm), and mixed with 50% wheat-soybean basal diet. Six ileal-cannulated barrows (36.4 ± 0.9 kg) were fed the 4 test diets, basal diet, and N-free diet at 2.8 × maintenance DE for six 9-d periods (5 d adaptation, 2 d feces and 2 d digesta collection) in a 6 × 6 Latin square. Wheat millrun data were analyzed as 2 × 2 factorial arrangement using the MIXED model of SAS with extrusion and grinding as fixed effects, and pig and period as random effects. The 4 wheat millrun samples contained (DM basis) 18.2% CP, 13.9% ADF, and 4.6 Mcal/kg GE. Particle size and extrusion interacted (P < 0.05) for AID and SID of AA of wheat millrun. Extrusion increased (P < 0.05) the AID and SID of Lys and Ile (13–19%), and SID of Arg (6%) for coarsely, but not for finely ground wheat millrun. Coarse grinding increased (P < 0.05) AID and SID of Lys, Leu, Ile, and Arg of extruded wheat millrun (12–17%) compared with non-extruded. Extruding wheat millrun increased (P < 0.05) the AID of His (4.6%), Phe (3.9%), and Thr (6.9%); the SID of Phe (3.9%) and Thr (6.9%); the ATTD of DM (2.6%) and GE (2.4%), and DE value; and tended to increase (P < 0.10) the AID and SID of Met, compared with non-extruded. Coarsely grinding wheat millrun increased (P < 0.05) the AID of His (5.6%), Trp (11.7%), and Val (6.3%), and the SID of Trp (11.5%) and Val (6.0%) compared with finely ground wheat millrun. Extrusion increased AID of AA and ATTD of GE of wheat millrun, indicating that heat processing modified the physicochemical properties of its nutritional components making them more available to the pigs. Fine grinding decreased the nutritional value of wheat millrun.

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)0.001
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.235
Teacher spread0.223 · 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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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