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Record W2966446553 · doi:10.1093/jas/skz122.258

352 Associations between day one piglet serum immunocrit ratio and subsequent growth during gilt development

2019· article· en· W2966446553 on OpenAlexaff
China Supakorn, Clay A Lents, Xochitl Martinez, Jeff Vallet, R. D. Boyd, G. A. Rohrer, Ashley DeDecker, Kenneth J. Stalder

Bibliographic record

VenueJournal of Animal Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsWeaningAnimal scienceColostrumWeight gainBody weightBiologyBirth weightEndocrinologyAntibodyPregnancyImmunology

Abstract

fetched live from OpenAlex

Abstract Colostrum intake affects gut development in the neonatal piglet. The pig’s subsequent growth performance and viability may be affected by colostrum intake. Immunoglobulin uptake can be effectively estimated from the piglet’s immunocrit ratio (IR). The objective of this study was to determine the association between IR and growth performance from weaning to 200 days. Associations between serum IR measures and subsequent growth performance such as body weight, backfat thickness, caliper reading, and flank-to-flank distance at weaning (WW), 100, 142, 160, and 200 days, average daily gain (ADG) between weaning to 100 days (ADG1), and ADG between 100 to 200 days (ADG2) were evaluated. The IR measures were collected from 2,715 female piglets on Day 1 at Circle 4 Farms, Milford, UT and measured by USMARC. The IR evaluation was divided into 5 groups: lowest (0.05 < IC; n = 90), low (0.05 ≤ IC < 0.1; n = 362), medium (0.1 ≤ IC < 0.15; n = 1,314), high (0.15 ≤ IC < 0.2; n = 949), and highest (IC ≥ 0.2; n = 141), respectively. Weaning weight, subsequent growth performance, and ADG least square mean for each IR category were analyzed using PROC GLM and PDIFF option for mean comparisons. Fixed effects for post-weaning growth traits were contemporary group (week x room), development diet, and birth weight category. Development diet was not included in the model for WW. Gilts from high and highest IR had significantly (P < 0.05) greater weaning weight (6.5 ± 0.1 kg and 6.5 ± 0.1 kg, respectively), backfat thickness, caliper reading, and flank-to-flank distance at 100 to 200 days, ADG1 (0.45 ± 0.004 kg/day and 0.45 ± 0.007 kg/day, respectively) and ADG2 (0.79 ± 0.005 kg/day and 0.81 ± 0.001 kg/day, respectively) when compared to gilts from lowest IR (5.9 ± 0.2 kg for WW, 0.39 ± 0.008 kg/day for ADG1, and 0.75 ± 0.01 kg/day for ADG2). These data support the concept that neonatal piglet colostrum intake results in improved subsequent growth performance.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.237
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 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
Published2019
Admission routes1
Has abstractyes

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