Corrigendum to Estimation of indirect social genetic effects for skin lesion count in group - housed pigs by quantifying behavioral interactions
Mixing of pigs into new social groups commonly induces aggressive interactions that result in skin lesions on the body of the animals. The relationship between skin lesions and aggressive behavioral interactions in group-housed pigs can be analyzed within the framework of social genetic effects (SGE...
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2019angarita1.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 022 | |a 0021-8812 | ||
| 024 | |a 10.1093/jas/skz322 | ||
| 040 | |a AR-BaUFA |c AR-BaUFA | ||
| 245 | 0 | 0 | |a Corrigendum to |b Estimation of indirect social genetic effects for skin lesion count in group - housed pigs by quantifying behavioral interactions |
| 520 | |a Mixing of pigs into new social groups commonly induces aggressive interactions that result in skin lesions on the body of the animals. The relationship between skin lesions and aggressive behavioral interactions in group-housed pigs can be analyzed within the framework of social genetic effects (SGE). This study incorporates the quantification of aggressive interactions between pairs of animals in the modeling of SGE for skin lesions in different regions of the body in growing pigs. The dataset included 792 pigs housed in 59 pens. Skin lesions in the anterior, central, and caudal regions of the body were counted 24 h after pig mixing. Animals were video-recorded for 9 h postmixing and trained observers recorded the type and duration of aggressive interactions between pairs of animals. The number of seconds that pairs of pigs spent engaged in reciprocal fights and anilateral attack behaviors were used to parametrize the intensity of social interactions (ISI). Three types of models were fitted: direct genetic additive model (DGE), traditional social genetic effect model (TSGE) assuming uniform interactions between dyads, and an intensity-based social genetic effect model (ISGE) that used ISI to parameterize SGE. All models included fixed effects of sex, replicate, lesion scorer, weight at mixing, premixing lesion count, and the total time that the animal spent engaged in aggressive interactions (reciprocal fights and unilateral attack behaviors) as a covariate; a random effect of pen; and a random direct genetic effect. The ISGE models recovered more direct genetic variance than DGE and TSGE, and the estimated heritabilities (ˆh2 D) were highest for all traits (P minor to 0.01) for the ISGE with ISI parametrized with unilateral attack behavior. The TSGE produced estimates that did not differ significantly from DGE (P major to 0.5). Incorporating the ISI into ISGE, even in a small dataset, allowed separate estimation of the genetic parameters for direct and SGE, as well as the genetic correlation between direct and SGE (ˆrds), which was positive for all lesion traits. The estimates from ISGE suggest that if behavioral observations are available, selection incorporating SGE may reduce the consequences of aggressive behaviors after mixing pigs. | ||
| 650 | |2 Agrovoc |9 26 | ||
| 653 | |a BEHAVIOR | ||
| 653 | |a DAMAGING AGGRESSION | ||
| 653 | |a PIGS | ||
| 653 | |a SKIN LESIONS | ||
| 653 | |a SOCIAL GENETIC EFFECTS | ||
| 700 | 1 | |a Angarita Barajas, Belcy Karine |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. |u Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. |u CONICET - Universidad de Buenos Aires. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. |u Michigan State University. Department of Animal Science. MI, USA. |9 72825 | |
| 700 | 1 | |a Cantet, Rodolfo Juan Carlos |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. |u Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. |u CONICET - Universidad de Buenos Aires. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. |9 12817 | |
| 700 | 1 | |a Wurtz, Kaitlin E. |u Michigan State University. Department of Animal Science. MI, USA. |9 73543 | |
| 700 | 1 | |a O’Malley, Carly I. |u Michigan State University. Department of Animal Science. MI, USA. |9 73544 | |
| 700 | 1 | |a Siegford, Janice M. |u Michigan State University. Department of Animal Science. MI, USA. |9 73545 | |
| 700 | 1 | |9 73546 |a Ernst, Catherine W. |u Michigan State University. Department of Animal Science. MI, USA. | |
| 700 | 1 | |a Turner, Simon P. |u Animal Behaviour and Welfare, Animal and Veterinary Sciences Research Group, Scotland’s Rural College (SRUC). Edinburgh, UK. |9 73547 | |
| 700 | 1 | |a Steibel, Juan Pedro |u Michigan State University. Department of Animal Science. MI, USA. |u Michigan State University. Department of Fisheries and Wildlife. MI, USA. |9 13048 | |
| 773 | 0 | |t Journal of animal science |w (AR-BaUFA)SECS000110 |g Vol.98, no.1 (2020), 1 p. | |
| 856 | |f 2019angarita1 |i En reservorio |q application/pdf |u http://ri.agro.uba.ar/files/intranet/articulo/2019angarita1.pdf |x ARTI202204 | ||
| 856 | |u https://www.asas.org |z LINK AL EDITOR | ||
| 942 | |c ARTICULO | ||
| 942 | |c ENLINEA | ||
| 976 | |a AAG | ||