Reproductive success is predicted by social dynamics and kinship in managed animal populations [version 1; referees: 2 approved]
Kin and group interactions are important determinants of reproductive success in many species. Their optimization could, therefore, potentially improve the productivity and breeding success of managed populations used for agricultural and conservation purposes. Here we demonstrate this potential usi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2016-05-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/5-870/v1 |
| _version_ | 1828464234049044480 |
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| author | Saul J. Newman Simon Eyre Catherine H. Kimble Mauricio Arcos-Burgos Carolyn Hogg Simon Easteal |
| author_facet | Saul J. Newman Simon Eyre Catherine H. Kimble Mauricio Arcos-Burgos Carolyn Hogg Simon Easteal |
| author_sort | Saul J. Newman |
| collection | DOAJ |
| description | Kin and group interactions are important determinants of reproductive success in many species. Their optimization could, therefore, potentially improve the productivity and breeding success of managed populations used for agricultural and conservation purposes. Here we demonstrate this potential using a novel approach to measure and predict the effect of kin and group dynamics on reproductive output in a well-known species, the meerkat Suricata suricatta. Variation in social dynamics predicts 30% of the individual variation in reproductive success of this species in managed populations, and accurately forecasts reproductive output at least two years into the future. Optimization of social dynamics in captive meerkat populations doubles their projected reproductive output. These results demonstrate the utility of a quantitative approach to breeding programs informed by social and kinship dynamics. They suggest that this approach has great potential for improvements in the management of social endangered and agricultural species. |
| first_indexed | 2024-12-11T03:09:00Z |
| format | Article |
| id | doaj.art-b5f2ea6f009f4ef38d97e961305a81d2 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-12-11T03:09:00Z |
| publishDate | 2016-05-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-b5f2ea6f009f4ef38d97e961305a81d22022-12-22T01:22:54ZengF1000 Research LtdF1000Research2046-14022016-05-01510.12688/f1000research.8713.19375Reproductive success is predicted by social dynamics and kinship in managed animal populations [version 1; referees: 2 approved]Saul J. Newman0Simon Eyre1Catherine H. Kimble2Mauricio Arcos-Burgos3Carolyn Hogg4Simon Easteal5John Curtin School of Medical Research, Australian National University, Acton, AustraliaWellington Zoo, Wellington, New ZealandSedgwick County Zoo, Wichita, USAJohn Curtin School of Medical Research, Australian National University, Acton, AustraliaZoo and Aquarium Association Australasia, Sydney, AustraliaJohn Curtin School of Medical Research, Australian National University, Acton, AustraliaKin and group interactions are important determinants of reproductive success in many species. Their optimization could, therefore, potentially improve the productivity and breeding success of managed populations used for agricultural and conservation purposes. Here we demonstrate this potential using a novel approach to measure and predict the effect of kin and group dynamics on reproductive output in a well-known species, the meerkat Suricata suricatta. Variation in social dynamics predicts 30% of the individual variation in reproductive success of this species in managed populations, and accurately forecasts reproductive output at least two years into the future. Optimization of social dynamics in captive meerkat populations doubles their projected reproductive output. These results demonstrate the utility of a quantitative approach to breeding programs informed by social and kinship dynamics. They suggest that this approach has great potential for improvements in the management of social endangered and agricultural species.https://f1000research.com/articles/5-870/v1Behavioral EcologyCommunity Ecology & BiodiversityConservation & Restoration Ecology |
| spellingShingle | Saul J. Newman Simon Eyre Catherine H. Kimble Mauricio Arcos-Burgos Carolyn Hogg Simon Easteal Reproductive success is predicted by social dynamics and kinship in managed animal populations [version 1; referees: 2 approved] F1000Research Behavioral Ecology Community Ecology & Biodiversity Conservation & Restoration Ecology |
| title | Reproductive success is predicted by social dynamics and kinship in managed animal populations [version 1; referees: 2 approved] |
| title_full | Reproductive success is predicted by social dynamics and kinship in managed animal populations [version 1; referees: 2 approved] |
| title_fullStr | Reproductive success is predicted by social dynamics and kinship in managed animal populations [version 1; referees: 2 approved] |
| title_full_unstemmed | Reproductive success is predicted by social dynamics and kinship in managed animal populations [version 1; referees: 2 approved] |
| title_short | Reproductive success is predicted by social dynamics and kinship in managed animal populations [version 1; referees: 2 approved] |
| title_sort | reproductive success is predicted by social dynamics and kinship in managed animal populations version 1 referees 2 approved |
| topic | Behavioral Ecology Community Ecology & Biodiversity Conservation & Restoration Ecology |
| url | https://f1000research.com/articles/5-870/v1 |
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