Estimates of Water Consumption of Growing Pigs under Practical Conditions Based on Climate and Performance Data

Author:

Schale Patrick1ORCID,Arkenau Engel F.2ORCID,Schmitt Armin O.3ORCID,Dänicke Sven4ORCID,Kluess Jeannette4ORCID,Grümpel-Schlüter Angelika4

Affiliation:

1. Johann Heinrich von Thünen-Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries, Institute of Agricultural Technology, Bundesallee 47, 38116 Braunschweig, Germany

2. Federal Ministry of Food and Agriculture, Directorate 82 Digital Innovation, Wilhelmstraße 54, 10117 Berlin, Germany

3. Breeding Informatics, Department of Animal Sciences, Georg-August-Universität Göttingen, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany

4. Friedrich-Loeffler-Institut, Institute of Animal Nutrition, Bundesallee 37, 38116 Braunschweig, Germany

Abstract

The water consumption of fattening pigs was recorded under practical conditions and compared with calculated water consumption. The experiment was carried out in the summer of 2020 with 79 fattening pigs. Data loggers were used to record the climate data, such as temperature and relative humidity. These data were used to calculate the temperature-humidity index (THI). It was found that there were sometimes considerable discrepancies between the measured and the calculated water consumption. One possible reason for this discrepancy could be the age of the existing water requirement equations, as in recent decades there has been a clear breeding development and thus a strong increase in pig performance. Based on these deviations, six new water consumption equations were established, which considered the variables body weight (BW), temperature, THI and feed consumption. It was found that the THI and BW should be included in one equation as predictor variables and the evaluation also showed good results. Its use, in practice, should also be considered. Overall, it became apparent that there is still a need for further research to make water consumption equations more precise. This would require a larger database.

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

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