Hristov, Slavča and Cincović, Marko and Stankovic, Branislav and Đoković, Radojica and Ostojić Andrić, Dušica and Nakov, Dimitar (2023) Determination of new welfare and stress indicators on cattle and pig farms based on previously published studies. In: International symposium on animal science (ISAS 2023), 18-20 Sept 2023, Novi Sad, Serbia.
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Abstract
In recent years, numerous papers have been published that consider indicators of welfare and stress of the animals on cattle and pig farms with the aim of improving their health and productivity. These indicators are mostly determined in numerous international projects and published in indexed journals and proceedings from international symposia. Their usefulness in on-farm assessments of animal welfare and stress are generally well recognized. In the assessments of the welfare and stress of the animals in different systems of rearing and accommodation, the need to determine new welfare and stress indicators on cattle and pig farms was observed. The paper discusses the determination of new indicators of the animal welfare and stress on cattle and pig farms based on analysis of previously published studies which include the most important papers in indexed journals and proceedings from international symposia that discussed the existing indicators. The analysis of the results of those studies will be used to determine the main characteristics of the existing new welfare and stress indicators on cattle and pig farms with a focus on their applicability. The results, discussions and conclusions in those papers will be used to generate ideas to define new welfare and stress indicators of the animals on cattle and pig farms.
Key words: cattle, pig, welfare indicators, stress indicators, analyses of literature
Item Type: | Conference or Workshop Item (Speech) |
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Subjects: | Agricultural Sciences > Animal and dairy science Agricultural Sciences > Veterinary science |
Divisions: | Faculty of Agriculture |
Depositing User: | Dimitar Nakov |
Date Deposited: | 17 Nov 2023 12:48 |
Last Modified: | 17 Nov 2023 12:48 |
URI: | https://eprints.ugd.edu.mk/id/eprint/32569 |
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