Losses of nitrogen (N) from dairy cattle farming system cause environmental pollution and impact human health. A number of statistical models for predicting manure N excretion from lactating dairy cows have been developed based on regression analysis. In this study, we proposed a Bayesian network-based approach to modelling relationships among factors influencing manure N excretion of lactating dairy cows using a dataset collated from total diet digestibility studies undertaken at Agri-Food and Biosciences Institute in Northern Ireland. The preliminary results indicate that Bayesian network model can be used to capture relationships among factors that influence N utilization efficiency and can be used to establish causal influence among predictors. These may provide an effective tool for optimizing the management of feed N resource for current dairy production and developing strategies to reduce N excretion in dairy production systems.
|Title of host publication||2020 International Conference on Bioinformatics and Biomedicine (BIBM 2020)|
|Number of pages||6|
|Publication status||Accepted/In press - Oct 2020|