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Record W4416742456 · doi:10.1139/cjas-2025-0061

Effects of the combination of spray dried plasma and reduced crude protein in diets on growth performance, diarrhea scores, gut morphology, and immune parameters of weanling pigs

2025· article· en· W4416742456 on OpenAlexvenueno aff
Hannah M. Bailey, Natalia S. Fanelli, Joy Campbell, Hans H Stein

Bibliographic record

VenueCanadian Journal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsWeanlingIleumDiarrheaImmune systemFeed conversion ratioWeight gainJejunumGastrointestinal tractSmall intestine

Abstract

fetched live from OpenAlex

The hypothesis that spray dried plasma (SDP) complements low crude protein (CP) phase 1 diets by improving growth performance, decreasing diarrhea, reducing immune system activation, and maintaining intestinal health of weanling pigs was tested. Four phase 1 diets were formulated (CP: 18.5% or 23.0%; SDP: 0% or 6%). One-hundred and sixty weaned pigs (5.89 ± 0.39 kg; 20 ± 2 days) were fed one of the four phase 1 diets (days 1–14) and a phase 2 diet (days 15–28). Results indicated that pigs fed the 18.5% CP diet instead of the 23.0% CP diet had reduced ( P < 0.05) average daily gain (ADG) and gain to feed ratio (G:F), and pigs fed 6% SDP had greater ( P < 0.05) ADG and G:F than pigs fed no SDP. Diarrhea scores were reduced ( P < 0.05) for pigs fed the 18.5% CP diet. Villus height in the ileum and mucosa width in the colon increased if SDP was included in the 23.0% CP diet, but not in the 18.5% CP diet (interaction, P < 0.05). In conclusion, including 6% SDP in phase 1 diets resulted in improved ADG and G:F and reduced inflammatory responses.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

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