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Energy and nutrient digestibility and effect of increasing the dietary inclusion of hull-less oats replacing wheat grain on growth performance of weanling pigs

2024· article· en· W4403914523 on OpenAlexaff
Lingjun Zhu, Li‐Fang Wang, Sonja Bialobzyski, R. T. Zijlstra, E. Beltranena

Bibliographic record

VenueAnimal Feed Science and Technology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWeanlingNutrientAgronomyBiologyAnimal scienceEcology

Abstract

fetched live from OpenAlex

To compare energy and nutrient digestibility , 3 diets including 95 % AC Gehl hull-less oats, CDC Utmost VB wheat or nitrogen-free were fed to 8 ileal cannulated pigs (30.2 ± 2.2 kg) over 3 periods (Exp. 1). To evaluate effects on growth performance, 160 weaned pigs (7.7 ± 0.4 kg) were fed 4 nursery diets over 28 days (Exp. 2). AC Gehl hull-less oats replaced CDC Utmost VB wheat at 0/3, 1/3, 2/3, and 3/3. Hull-less oats contained less fibre, more fat, Lys, Arg, Leu, Val but less Glu and Pro than wheat. In Exp. 1, feeding hull-less oats resulted in greater (P < 0.05) coefficient of apparent ileal digestibility (CAID) and coefficient of apparent total tract digestibility of dry matter, digestible energy and predicted net energy value than wheat. Although CAID and coefficient of standardised ileal digestibility (CSID) of crude protein and most amino acids (AA) were lower (P < 0.05) for pigs fed hull-less oats, CAID of Lys and most SID AA content were greater than wheat (P < 0.05). In Exp. 2, feeding hull-less oats replacing wheat did not affect weekly pen average daily feed disappearance, average daily weight gain or body weight ; however, overall gain-to-feed ratio decreased (P = 0.001) linearly (0.01 g/g per each 1/3 replacement). In conclusion, feeding AC Gehl hull-less oats resulted in lower CAID (except Lys) and CSID of AA, but greater SID AA content thus can fully replace CDC Utmost VB wheat grain in weanling pig diets without affecting most production parameters.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.010
GPT teacher head0.222
Teacher spread0.212 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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