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Record W3073641281 · doi:10.1093/jas/skaa132

Current knowledge on the control of onset and cessation of colostrogenesis in swine

2020· article· en· W3073641281 on OpenAlexaff
C. Farmer, Hélène Quesnel

Bibliographic record

VenueJournal of Animal Science · 2020
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsLibrary sciencePolitical scienceHistoryMedicineComputer science

Abstract

fetched live from OpenAlex

Colostrum is the elixir for life in newborn piglets. If the prepartum peak of prolactin is inhibited, thereby preventing the onset of lactogenesis, piglets undoubtedly die (Farmer et al., 1998). A minimum amount of 250 g of colostrum must be ingested by an average size neonatal piglet (1.4 kg) during the first 24 h after birth in order to acquire immune protection and sustain body growth (Quesnel et al., 2012). However, this does not occur in all litters. It was estimated that approximately one-third of sows cannot produce enough colostrum to fully support their litters (Quesnel et al., 2012). This is most important in the current context where hyperprolific sow lines are being used on a regular basis, thereby increasing the demand for colostrum production. Furthermore, it was demonstrated that colostrum yield is not affected by litter size (Devillers et al., 2005) so that it is not greater in very large litters. It is therefore imperative to attempt to augment the amount of colostrum available to piglets. Numerous reviews have described the nutritional and endocrine factors affecting colostrum yield and composition in swine (Devillers et al., 2007; Farmer and Quesnel, 2009; Quesnel et al., 2012; Quesnel and Farmer, 2019). The goal of the present review is to focus specifically on the duration of colostrogenesis and to summarize our current knowledge of the mechanisms of action involved in the control of its onset and cessation. Such information would be most pertinent to develop novel management strategies in peripartal sows to maximize colostrum availability to piglets.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.118

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.096
GPT teacher head0.377
Teacher spread0.281 · 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 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

Citations14
Published2020
Admission routes1
Has abstractyes

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