Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs

Sanne Ott; Christel Moons; M. Kashiha; Bart Ampe; Joris Vandermeulen; Claudia Bahr; Daniel Berckmans; Theo Niewold; Frank Tuyttens

doi:10.3921/9789086867981_024

Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs

Sanne Ott, Christel Moons, M. Kashiha, Bart Ampe, Joris Vandermeulen, Claudia Bahr, Daniel Berckmans, Theo Niewold, Frank Tuyttens

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › C3: Congres abstract › peer review

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Automated image analysis to measure animal behaviour facilitates the collection of daily and continuous data of animals. Continuous monitoring could be useful in livestock husbandry because certain changes in the baseline of daily activity patterns could indicate welfare and health problems. This study investigated the possibility to automatically detect changes in the activity patterns of pigs after mixing. Forty grower pigs (25.1±4.4 kg) were equally distributed over four conventional pens and balanced for sex, live weight and litter. After seven days, five pigs from one pen were swapped (07:00h) with five from another pen (treatment pens T1 and T2). The two remaining pens served as controls (C1 and C2). Video images from a top view camera were collected and analysed for 10 hours (08:00 to 18:00h) on four days before and four days after the treatment pens were mixed. Automated activity patterns of the control and treatment pens were obtained by calculating the mean activity index per minute (AI): the relative number of moving pixels between two consecutive image frames (1 frame/second) averaged per minute.

Changes in the activity pattern of each pen were expressed as the sum of sudden deviations (SSDEV) per day. A sudden deviation was defined as a significant increase or decrease (significance level of 0.05) in the AI compared to the mean AI from the preceding 3 minutes. Within pens the SSDEV was comparable during the four recording days prior to mixing, but the SSDEV differed between pens: C1 43±5.0 (mean±sd); C2 30±2.5; T1 49±5.8; T2 28±2.2. On the day of mixing, the treatment pens both showed a two-fold increase in their SSDEV (T1 105; T2 77) compared to the days before and after mixing, while the control pens did not (C1: 36; C2:24). This likely reflected the behavioural changes (aggressive interactions) caused by the mixing. These preliminary results suggest that automated measurements of daily activity in pigs can be useful in detection of behavioural changes at pen level.

Oorspronkelijke taal	Engels
Titel	Proceedings of the 6th International Conference on the Assessment of Animal Welfare at Farm and Group Level
Editors	Luc Mounier, Isabelle Veissier
Aantal pagina’s	1
Plaats productie	Clermont-Ferrand
Uitgeverij	Wageningen Academic Publishers
Publicatiedatum	2-sep.-2014
Pagina's	56
ISBN van geprinte versie	978-90-8686-247-4
ISBN van elektronische versie	978-90-8686-798-1
DOI's	https://doi.org/10.3921/9789086867981_024
Publicatiestatus	Gepubliceerd - 2-sep.-2014
Evenement	WAFL 2014 - Clermont-Ferrand, Frankrijk Duur: 3-sep.-2014 → 5-sep.-2014 https://colloque6.inra.fr/wafl2014

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10.3921/9789086867981_024

WAFL 2014
Tuyttens, F. (Spreker)
3-sep.-2014 → 5-sep.-2014
Activiteit: Deelnemen aan een evenement of er een organiseren › Organisatie en deelname aan een congres

Dit citeren

Ott, S., Moons, C., Kashiha, M., Ampe, B., Vandermeulen, J., Bahr, C., Berckmans, D., Niewold, T., & Tuyttens, F. (2014). Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs. In L. Mounier, & I. V. (editors), Proceedings of the 6th International Conference on the Assessment of Animal Welfare at Farm and Group Level (blz. 56). Wageningen Academic Publishers. https://doi.org/10.3921/9789086867981_024

Ott, Sanne ; Moons, Christel ; Kashiha, M. et al. / Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs. Proceedings of the 6th International Conference on the Assessment of Animal Welfare at Farm and Group Level. bewerker / Luc Mounier ; Isabelle Veissier. Clermont-Ferrand : Wageningen Academic Publishers, 2014. blz. 56

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title = "Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs",

abstract = "Automated image analysis to measure animal behaviour facilitates the collection of daily and continuous data of animals. Continuous monitoring could be useful in livestock husbandry because certain changes in the baseline of daily activity patterns could indicate welfare and health problems. This study investigated the possibility to automatically detect changes in the activity patterns of pigs after mixing. Forty grower pigs (25.1±4.4 kg) were equally distributed over four conventional pens and balanced for sex, live weight and litter. After seven days, five pigs from one pen were swapped (07:00h) with five from another pen (treatment pens T1 and T2). The two remaining pens served as controls (C1 and C2). Video images from a top view camera were collected and analysed for 10 hours (08:00 to 18:00h) on four days before and four days after the treatment pens were mixed. Automated activity patterns of the control and treatment pens were obtained by calculating the mean activity index per minute (AI): the relative number of moving pixels between two consecutive image frames (1 frame/second) averaged per minute. Changes in the activity pattern of each pen were expressed as the sum of sudden deviations (SSDEV) per day. A sudden deviation was defined as a significant increase or decrease (significance level of 0.05) in the AI compared to the mean AI from the preceding 3 minutes. Within pens the SSDEV was comparable during the four recording days prior to mixing, but the SSDEV differed between pens: C1 43±5.0 (mean±sd); C2 30±2.5; T1 49±5.8; T2 28±2.2. On the day of mixing, the treatment pens both showed a two-fold increase in their SSDEV (T1 105; T2 77) compared to the days before and after mixing, while the control pens did not (C1: 36; C2:24). This likely reflected the behavioural changes (aggressive interactions) caused by the mixing. These preliminary results suggest that automated measurements of daily activity in pigs can be useful in detection of behavioural changes at pen level.",

author = "Sanne Ott and Christel Moons and M. Kashiha and Bart Ampe and Joris Vandermeulen and Claudia Bahr and Daniel Berckmans and Theo Niewold and Frank Tuyttens",

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publisher = "Wageningen Academic Publishers",

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Ott, S, Moons, C, Kashiha, M, Ampe, B, Vandermeulen, J, Bahr, C, Berckmans, D, Niewold, T & Tuyttens, F 2014, Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs. in L Mounier & IV (eds), Proceedings of the 6th International Conference on the Assessment of Animal Welfare at Farm and Group Level. Wageningen Academic Publishers, Clermont-Ferrand, blz. 56, WAFL 2014, Clermont-Ferrand, Frankrijk, 3/09/14. https://doi.org/10.3921/9789086867981_024

Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs. / Ott, Sanne; Moons, Christel; Kashiha, M. et al.
Proceedings of the 6th International Conference on the Assessment of Animal Welfare at Farm and Group Level. ed. / Luc Mounier; Isabelle Veissier. Clermont-Ferrand: Wageningen Academic Publishers, 2014. blz. 56.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › C3: Congres abstract › peer review

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T1 - Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs

AU - Ott, Sanne

AU - Moons, Christel

AU - Kashiha, M.

AU - Ampe, Bart

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AU - Bahr, Claudia

AU - Berckmans, Daniel

AU - Niewold, Theo

AU - Tuyttens, Frank

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N2 - Automated image analysis to measure animal behaviour facilitates the collection of daily and continuous data of animals. Continuous monitoring could be useful in livestock husbandry because certain changes in the baseline of daily activity patterns could indicate welfare and health problems. This study investigated the possibility to automatically detect changes in the activity patterns of pigs after mixing. Forty grower pigs (25.1±4.4 kg) were equally distributed over four conventional pens and balanced for sex, live weight and litter. After seven days, five pigs from one pen were swapped (07:00h) with five from another pen (treatment pens T1 and T2). The two remaining pens served as controls (C1 and C2). Video images from a top view camera were collected and analysed for 10 hours (08:00 to 18:00h) on four days before and four days after the treatment pens were mixed. Automated activity patterns of the control and treatment pens were obtained by calculating the mean activity index per minute (AI): the relative number of moving pixels between two consecutive image frames (1 frame/second) averaged per minute. Changes in the activity pattern of each pen were expressed as the sum of sudden deviations (SSDEV) per day. A sudden deviation was defined as a significant increase or decrease (significance level of 0.05) in the AI compared to the mean AI from the preceding 3 minutes. Within pens the SSDEV was comparable during the four recording days prior to mixing, but the SSDEV differed between pens: C1 43±5.0 (mean±sd); C2 30±2.5; T1 49±5.8; T2 28±2.2. On the day of mixing, the treatment pens both showed a two-fold increase in their SSDEV (T1 105; T2 77) compared to the days before and after mixing, while the control pens did not (C1: 36; C2:24). This likely reflected the behavioural changes (aggressive interactions) caused by the mixing. These preliminary results suggest that automated measurements of daily activity in pigs can be useful in detection of behavioural changes at pen level.

AB - Automated image analysis to measure animal behaviour facilitates the collection of daily and continuous data of animals. Continuous monitoring could be useful in livestock husbandry because certain changes in the baseline of daily activity patterns could indicate welfare and health problems. This study investigated the possibility to automatically detect changes in the activity patterns of pigs after mixing. Forty grower pigs (25.1±4.4 kg) were equally distributed over four conventional pens and balanced for sex, live weight and litter. After seven days, five pigs from one pen were swapped (07:00h) with five from another pen (treatment pens T1 and T2). The two remaining pens served as controls (C1 and C2). Video images from a top view camera were collected and analysed for 10 hours (08:00 to 18:00h) on four days before and four days after the treatment pens were mixed. Automated activity patterns of the control and treatment pens were obtained by calculating the mean activity index per minute (AI): the relative number of moving pixels between two consecutive image frames (1 frame/second) averaged per minute. Changes in the activity pattern of each pen were expressed as the sum of sudden deviations (SSDEV) per day. A sudden deviation was defined as a significant increase or decrease (significance level of 0.05) in the AI compared to the mean AI from the preceding 3 minutes. Within pens the SSDEV was comparable during the four recording days prior to mixing, but the SSDEV differed between pens: C1 43±5.0 (mean±sd); C2 30±2.5; T1 49±5.8; T2 28±2.2. On the day of mixing, the treatment pens both showed a two-fold increase in their SSDEV (T1 105; T2 77) compared to the days before and after mixing, while the control pens did not (C1: 36; C2:24). This likely reflected the behavioural changes (aggressive interactions) caused by the mixing. These preliminary results suggest that automated measurements of daily activity in pigs can be useful in detection of behavioural changes at pen level.

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BT - Proceedings of the 6th International Conference on the Assessment of Animal Welfare at Farm and Group Level

A2 - Mounier, Luc

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PB - Wageningen Academic Publishers

CY - Clermont-Ferrand

T2 - WAFL 2014

Y2 - 3 September 2014 through 5 September 2014

ER -

Ott S, Moons C, Kashiha M, Ampe B, Vandermeulen J, Bahr C et al. Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs. In Mounier L, IV, bewerkers, Proceedings of the 6th International Conference on the Assessment of Animal Welfare at Farm and Group Level. Clermont-Ferrand: Wageningen Academic Publishers. 2014. blz. 56 doi: 10.3921/9789086867981_024

Behavioural changes after mixing can be detected in automatically obtained activity patterns of pigs

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