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Record W2601885035 · doi:10.1139/cjas-2016-0171

Effects of lysozyme on the growth performance, nutrient digestibility, intestinal barrier and microbiota of weaned pigs fed diets containing spray-dried whole egg or albumen powder

2017· article· en· W2601885035 on OpenAlexvenueno aff
Xiaokang Ma, Sai Zhang, Long Pan, Xiangshu Piao

Bibliographic record

VenueCanadian Journal of Animal Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
FundersHigher Education Discipline Innovation ProjectNational Natural Science Foundation of China
KeywordsLysozymeCecumFood scienceUreaChemistryAnimal scienceBiologyBiochemistry

Abstract

fetched live from OpenAlex

Two experiments were conducted to evaluate energy value of spray-dried whole egg (SWE), albumen powder (AP), and effects of lysozyme (LZ) in diets containing these two protein sources. Experiment 1: 18 barrows were allotted to one of the three diets (Basal, SWE, and AP). Both digestible (DE) and metabolizable energies (ME) were lower (P < 0.01) in AP than SWE. Experiment 2: 120 piglets weaned at 21 d were allotted in a 2 × 2 factorial experiment. Diets contained either 8.0% SWE or 4.67% AP, supplying the same amount of crude protein and were fed with or without 1 g kg−1 LZ. Supplementation of LZ in SWE and AP diets improved (P < 0.01) G:F than the diets without LZ. Lysozyme decreased (P < 0.01) Escherichia coli counts in cecum and Lactobacilli counts in both cecum and colon (P < 0.05). Lysozyme reduced serum IgM (P < 0.05), d-lactic acid (P < 0.01), and diamine oxide (P < 0.05). Piglets fed AP had lower (P < 0.05) serum urea nitrogen levels than those fed SWE. In conclusion, SWE contains higher DE and ME contents than AP. Lysozyme improved the performance of piglets by regulating the gut microflora, protecting the intestinal barrier and lowering immune activation.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.230
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 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

Citations15
Published2017
Admission routes1
Has abstractyes

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