Evidence map›Paper›PMID 42180805›Full record

ArticleTranslational animal science2026

Effects of post-farrowing feed delivery schedule and sow parity on piglet performance and survivability

Aryeri S Bardales-Castellanos, Andres F Bolivar-Sierra, Hyatt Frobose, Casey Bradley, Crystal L Levesque

Abstract read
In one paragraph

Article in Translational animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Aryeri S Bardales-CastellanosDepartment of Animal Science, South Dakota State University, Brookings, SD, 57007, United States.
Andres F Bolivar-SierraDepartment of Animal Science, South Dakota State University, Brookings, SD, 57007, United States.ORCID https://orcid.org/0000-0003-4761-6630
Hyatt FroboseJyga Technologies, Saint Lambert de Lauzon, QC, G0S 2W0, Canada.
Casey BradleyThe Sunswine Group, 1458 Plaza Pl, Suite 104A, Springdale, AR, 72764, United States.
Crystal L LevesqueDepartment of Animal Science, South Dakota State University, Brookings, SD, 57007, United States.ORCID https://orcid.org/0000-0003-2978-5852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-wean mortality (PWM) in commercial pig herds typically ranges from 10% to 20%, with most deaths occurring within 72 hours of birth. Crushing by the sow is a primary cause of piglet deaths. Early in lactation, piglets spend more time near the sow for warmth which is also the period of sow recovery from farrowing, which may increase the risk of crushing. Consequently, sow feed delivery schedule (ie number of feed deliveries per day) during this period may influence piglet survival by altering sow activity patterns and slowing recovery from farrowing. This study evaluated the effects of post-farrow feed delivery schedule and sow parity on sow lactation performance and piglet PWM. A total of 261 sows (Parity 1 to 9) in 8 rooms of approximately 32 sows/room) were assigned to one of three lactation feed delivery schedules beginning at farrowing: six meals per day (Feed-6), two meals per day (Feed-2), or two meals per day for the first five days post-farrow followed by six meals per day until weaning (Feed-2/6). Sow and litter performance to wean were recorded, as well as sow pre-farrow hemoglobin concentration and piglet mortality causes. Data was analyzed using SAS (Version 9.4) in a randomized incomplete block design with farrowing room as the blocking factor and sows as the experimental unit. Continuous outcomes were analyzed using PROC MIXED with feed delivery schedule, parity group and their interaction as fixed effects, and farrowing room included as a random effect. Outcomes that did not meet distributional assumptions, including feeder bowl coverage score, were analyzed using PROC NPAR1WAY. Statistical significance was declared at

Indexed as

feeding frequencyfeed intakehemoglobinmortalitysow performance

Identifiers

PMID42180805
PMCPMC13198362

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.