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Record W4387999429 · doi:10.1093/jas/skad341.075

116 Effect of Crude Protein Level and a Fermentation Product on Sow Reproductive and Piglet Performance

2023· article· en· W4387999429 on OpenAlexaff
Qiong Hu, Junmei Zhao, Neil Paton, Mark Newcomb

Bibliographic record

VenueJournal of Animal Science · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsCargill (Canada)
Fundersnot available
KeywordsLactationRandomized block designAnimal scienceSoybean mealBiologyMealChemistryFood sciencePregnancyAgronomy

Abstract

fetched live from OpenAlex

Abstract High crude protein (CP, greater than 16%) has traditionally been used in lactating sow diet for milk production. However, excess protein can lead to increased gut permeability and inflammation, resulting in compromised reproductive performance. It was hypothesized that decreased dietary CP, using a fermentation product (FER) or addition of Zinc in the lactation diet would promote better gut health and improve sow reproductive performance. The present study was a randomized block design with 5 treatments, 4 of which formed a 2 x 2 factorial arrangement. Gestating sows (n = 550) were enrolled with entry body weight of 209.1 ± 11.4 kg and allotted to one of the following five diets: high CP, no FER; high CP, FER; low CP, no FER; low CP, FER; high CP, ZnSO4 diet. Corn-soy based lactation diet was formulated with high (17.5%) and low (14.5%) CP and with or without FER. High CP with ZnSO4 (360 ppm) was used as a positive control and the added Zn level in the other diets was kept at 120 ppm. All diets were formulated to be at similar net energy and standardized ileal digestible (SID) Lysine (Lys) level with balanced essential amino acid to Lys ratio, except SID isoleucine/Lys was greater in high CP diets. Experimental diets were fed beginning approximately 4 days before farrowing and throughout the entire lactation phase (21 days). Using R, performance data were analyzed using a general linear model and a generalized linear model specifying a binomial distribution was deployed for count data. In summary, dietary treatment did not impact average daily feed intake. Low CP diet resulted in lighter sow weaning weight compared with high CP diet (P < 0.01) and tended to increase piglet average weaning weight (P < 0.10) regardless of FER inclusion. Dietary treatment did not affect the probability of still born or number of weaned pigs. There was an interaction (P < 0.05) between CP and FER on probability of born alive, with low CP, FER diet numerically having greatest probability of born alive. Both low CP (P < 0.10) and high CP with ZnSO4 (P < 0.10) tended to increase livability compared with high CP diet treatment, respectively. High CP with ZnSO4 treatment decreased pre-weaning mortality as compared with high CP treatments (P < 0.05). Conclusively, lower dietary CP led to better reproductive performance in sows and greater piglet weaning weight. The fermentation product did not impact sow or piglet performance as hypothesized, and ZnSO4 used at moderate level in high CP diet reduced pre-weaning mortality.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.037
GPT teacher head0.274
Teacher spread0.237 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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