ArticleJournal of animal science2021
Feed intake and feeding behavior traits for gestating sows recorded using electronic sow feeders.
Article in Journal of animal science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Feeding Behaviour of Pre-pubertal Males is Genetically Associated with Maternal Defensive Aggression in Sows.Behavior genetics · 2026Article
- Electronic sow feeding: characterizing feeding patterns of gestating sows and their associations to reproductive performance.Irish veterinary journal · 2026Article
- Twice daily feeding during gestation improves maternal body reserves and fetal growth in sows under commercial conditions.Translational animal science · 2026Article
- Recent feeding history drives prediction of daily feed intake in lactating sows.Translational animal science · 2026Article
- Varied residential options for gestating sows ensured welfare and productivity.Porcine health management · 2025Article
- Changes in feeding behavior, milk yield, serum indexes, and metabolites of dairy cows in three weeks postpartum.Scientific reports · 2025Article
- Feeding levels during early gestation in a group-housing system for primiparous sows: impact on piglet birthweight and litter uniformity.Animal bioscience · 2025Article
- The Role of Nutrition Across Production Stages to Improve Sow Longevity.Animals : an open access journal from MDPI · 2025Review
- On farm precision feeding of gestating sows based on energy and amino acids on farrowing performances and feeding behavior over 3 consecutive gestations.Journal of animal science · 2024Article
- Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment.Journal of animal science · 2022Article
- Traits Defining Sow Lifetime Maternal Performance.Animals : an open access journal from MDPI · 2022Article
- Toward Precise Nutrient Value of Feed in Growing Pigs: Effect of Meal Size, Frequency and Dietary Fibre on Nutrient Utilisation.Animals : an open access journal from MDPI · 2021Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic sow feeding (ESF) systems are used to control feed delivery to individual sows that are group-housed. Feeding levels for gestating sows are typically restricted to prevent excessive body weight gain. Any alteration of intake from the allocated feeding curve or unusual feeding behavior could indicate potential health issues. The objective of this study was to use data recorded by ESF to establish and characterize novel feed intake and feeding behavior traits and to estimate their heritabilities. Raw data were available from two farms with in-house manufactured (Farm A) or commercial (Farm B) ESF. The traits derived included feed intake, time spent eating, and rate of feed consumption, averaged across or within specific time periods of gestation. Additional phenotypes included average daily number of feeding events (AFE), along with the cumulative numbers of days where sows spent longer than 30 min in the ESF (ABOVE30), missed their daily intake (MISSF), or consumed below 1 kg of feed (BELOW1). The appetite of sows was represented by averages of score (APPETITE), a binary value for allocation eaten or not (DA_bin), or the standard deviation of the difference between feed intake and allocation (SDA-I). Gilts took longer to eat than sows (15.5 ± 0.13 vs. 14.1 ± 0.11 min/d) despite a lower feed allocation (2.13 ± 0.00 vs. 2.36 ± 0.01 kg/d). The lowest heritability estimates (below 0.10) occurred for feed intake traits, due to the restriction in feed allocation, although heritabilities were slightly higher for Farm B, with restriction in the eating time. The low heritability for AFE (0.05 ± 0.02) may have reflected the lack of recording of nonfeeding visits, but repeatability was moderate (0.26 ± 0.03, Farm A). Time-related traits were moderately to highly heritable and repeatable, demonstrating genetic variation between individuals in their feeding behaviors. Heritabilities for BELOW1 (Farm A: 0.16 ± 0.04 and Farm B: 0.15 ± 0.09) and SDA-I (Farm A: 0.17 ± 0.04 and Farm B: 0.10 ± 0.08) were similar across farms. In contrast, MISSF was moderately heritable in Farm A (0.19 ± 0.04) but lowly heritable in Farm B (0.05 ± 0.07). Heritabilities for DA_bin were dissimilar between farms (Farm A: 0.02 ± 0.02 and Farm B: 0.23 ± 0.10) despite similar incidence. Individual phenotypes constructed from ESF data could be useful for genetic evaluation purposes, but equivalent capabilities to generate phenotypes were not available for both ESF systems.
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