Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems
Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems

Modeling nutrient flows and partitioning for growth in meat and egg producing chickens

Authors: 
Dukhta G., van Milgen J., Kövér G., Halas V.
Publication date: 
3 October 2019
Full title: 
Modeling nutrient flows and partitioning for growth in meat and egg producing chickens
Publishing information: 
LXI. Georgikon Conference, 3-4 October 2019, University of Pannonia, Georgikon Faculty, Keszthely, Hungary
Abstract: 

Recently, a mechanistic dynamic growth model has been developed and validated for an average commercial broiler bird of the flock. The model simulates the nutrient flows within the body, partitioning of digestible nutrient intake through metabolism and predicts the body composition of a broiler in a time interval typical for meat types chicken. There were two aims of our in silico study. To investigate whether this broiler growth model can be used, firstly, for rearing broiler breeder pullets until 20 weeks of age and, secondly, for rearing pullets of the layer type hen, by only modifying key parameters. The broiler model was challenged with the recommendation of Aviagen Ross guideline on dietary nutrient content and restricted feed allowance. The parametrization of the model for layer pullets was based on literature data, and the feed composition, as well as simulaion of daily feed intake, were set according to Babolna Tetra recommendation. The main difference between meat type and egg producing layer pullets are in genetic potential for maximum and mean protein deposition, the ad libitum feed intake, and the precocity that reflects the early or late maturating of the bird. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 633531.

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