Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking
Damaging behaviors, like feather pecking (FP), have large economic and welfare consequences in the commercial laying hen industry. Selective breeding can be used to obtain animals that are less likely to perform damaging behavior on their pen-mates. However, with the growing tendency to keep birds i...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/9/3/108 |
| _version_ | 1819170294036692992 |
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| author | Esther D. Ellen Malou van der Sluis Janice Siegford Oleksiy Guzhva Michael J. Toscano Jörn Bennewitz Lisette E. van der Zande Jerine A. J. van der Eijk Elske N. de Haas Tomas Norton Deborah Piette Jens Tetens Britt de Klerk Bram Visser T. Bas Rodenburg |
| author_facet | Esther D. Ellen Malou van der Sluis Janice Siegford Oleksiy Guzhva Michael J. Toscano Jörn Bennewitz Lisette E. van der Zande Jerine A. J. van der Eijk Elske N. de Haas Tomas Norton Deborah Piette Jens Tetens Britt de Klerk Bram Visser T. Bas Rodenburg |
| author_sort | Esther D. Ellen |
| collection | DOAJ |
| description | Damaging behaviors, like feather pecking (FP), have large economic and welfare consequences in the commercial laying hen industry. Selective breeding can be used to obtain animals that are less likely to perform damaging behavior on their pen-mates. However, with the growing tendency to keep birds in large groups, identifying specific birds that are performing or receiving FP is difficult. With current developments in sensor technologies, it may now be possible to identify laying hens in large groups that show less FP behavior and select them for breeding. We propose using a combination of sensor technology and genomic methods to identify feather peckers and victims in groups. In this review, we will describe the use of “-omics„ approaches to understand FP and give an overview of sensor technologies that can be used for animal monitoring, such as ultra-wideband, radio frequency identification, and computer vision. We will then discuss the identification of indicator traits from both sensor technologies and genomics approaches that can be used to select animals for breeding against damaging behavior. |
| first_indexed | 2024-12-22T19:33:06Z |
| format | Article |
| id | doaj.art-30179dd93a1c423a915be4e85efce1d6 |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-12-22T19:33:06Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj.art-30179dd93a1c423a915be4e85efce1d62022-12-21T18:15:03ZengMDPI AGAnimals2076-26152019-03-019310810.3390/ani9030108ani9030108Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather PeckingEsther D. Ellen0Malou van der Sluis1Janice Siegford2Oleksiy Guzhva3Michael J. Toscano4Jörn Bennewitz5Lisette E. van der Zande6Jerine A. J. van der Eijk7Elske N. de Haas8Tomas Norton9Deborah Piette10Jens Tetens11Britt de Klerk12Bram Visser13T. Bas Rodenburg14Animal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, The NetherlandsAnimal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, The NetherlandsAnimal Behavior and Welfare Group, Department of Animal Science, Michigan State University, East Lansing, MI 48824, USADepartment Biosystems and Technology, Swedish University of Agricultural Sciences, 230 53 Alnarp, SwedenCenter for Proper Housing: Poultry and Rabbits University of Bern, CH 3052 Zollikofen, SwitzerlandInstitute of Animal Science, University of Hohenheim, 70599 Stuttgart, GermanyAdaptation Physiology Group, Wageningen University & Research, 6700 AH Wageningen, The NetherlandsAdaptation Physiology Group, Wageningen University & Research, 6700 AH Wageningen, The NetherlandsDepartment of Animals in Science and Society, Faculty of Veterinary Medicine, Utrecht University, 3508 TD Utrecht, The NetherlandsM3-BIORES, Division Animal and Human Health Engineering, Department of Biosystems, KU Leuven, B-3001 Heverlee, BelgiumM3-BIORES, Division Animal and Human Health Engineering, Department of Biosystems, KU Leuven, B-3001 Heverlee, BelgiumFunctional Breeding Group, Department of Animal Sciences, Georg-August University, 37077 Göttingen, GermanyCobb Europe, 5831 GH Boxmeer, The NetherlandsHendrix Genetics Research, Technology & Services B.V., 5830 AC Boxmeer, The NetherlandsDepartment of Animals in Science and Society, Faculty of Veterinary Medicine, Utrecht University, 3508 TD Utrecht, The NetherlandsDamaging behaviors, like feather pecking (FP), have large economic and welfare consequences in the commercial laying hen industry. Selective breeding can be used to obtain animals that are less likely to perform damaging behavior on their pen-mates. However, with the growing tendency to keep birds in large groups, identifying specific birds that are performing or receiving FP is difficult. With current developments in sensor technologies, it may now be possible to identify laying hens in large groups that show less FP behavior and select them for breeding. We propose using a combination of sensor technology and genomic methods to identify feather peckers and victims in groups. In this review, we will describe the use of “-omics„ approaches to understand FP and give an overview of sensor technologies that can be used for animal monitoring, such as ultra-wideband, radio frequency identification, and computer vision. We will then discuss the identification of indicator traits from both sensor technologies and genomics approaches that can be used to select animals for breeding against damaging behavior.https://www.mdpi.com/2076-2615/9/3/108damaging behaviorultra-widebandradio frequency identificationcomputer visionidentificationmeasuring behavior-omicsgenetic selection |
| spellingShingle | Esther D. Ellen Malou van der Sluis Janice Siegford Oleksiy Guzhva Michael J. Toscano Jörn Bennewitz Lisette E. van der Zande Jerine A. J. van der Eijk Elske N. de Haas Tomas Norton Deborah Piette Jens Tetens Britt de Klerk Bram Visser T. Bas Rodenburg Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking Animals damaging behavior ultra-wideband radio frequency identification computer vision identification measuring behavior -omics genetic selection |
| title | Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking |
| title_full | Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking |
| title_fullStr | Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking |
| title_full_unstemmed | Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking |
| title_short | Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking |
| title_sort | review of sensor technologies in animal breeding phenotyping behaviors of laying hens to select against feather pecking |
| topic | damaging behavior ultra-wideband radio frequency identification computer vision identification measuring behavior -omics genetic selection |
| url | https://www.mdpi.com/2076-2615/9/3/108 |
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