Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2020 International Conference on Bioinformatics and Biomedicine (BIBM 2020) |
| Publisher | IEEE |
| Pages | 2730-2736 |
| Number of pages | 6 |
| Volume | 1 |
| Publication status | Accepted/In press - Oct 2020 |
