TY - JOUR
T1 - A modeling approach for estimating seasonal dietary preferences of goats in a Mediterranean Quercus frainetto-Juniperus oxycedrus woodland
AU - Manousidis, T.
AU - Malesios, C.
AU - Kyriazopoulos, A.P.
AU - Parissi, Z.M.
AU - Abraham, E.M.
AU - Abas, Z.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Goats are characterized as selective feeders due to their specific feeding behavior, thus the study of their seasonal preferences in a Mediterranean oak-juniper ecosystem is of great interest. The current research was conducted in an open oak forest in Megalo Dereio region, northeastern Greece which was grazed mainly by a flock of 650 local breed goats. Grazing behavior data as the number of bites per plant species were recorded using a direct observation method in late spring (May), middle of summer (July) and late autumn (November) of 2010 and 2011. Additionally, a modeling approach was followed in order to study the factors influencing the dietary preferences of goats. Inference – by adopting the Bayesian paradigm – was based on the best multinomial response logistic regression model, selected by the suitable model assessment criteria. According to the results, seasonal and yearly effects were both important in explaining the grazing behavior of goats, with season being the dominant factor. The model’s estimation accuracy was additionally assessed by the comparison of the calculated model-based dietary preferences with the corresponding observed values. The model could be a useful tool to estimate the seasonal changes of dietary preferences of grazing goats.
AB - Goats are characterized as selective feeders due to their specific feeding behavior, thus the study of their seasonal preferences in a Mediterranean oak-juniper ecosystem is of great interest. The current research was conducted in an open oak forest in Megalo Dereio region, northeastern Greece which was grazed mainly by a flock of 650 local breed goats. Grazing behavior data as the number of bites per plant species were recorded using a direct observation method in late spring (May), middle of summer (July) and late autumn (November) of 2010 and 2011. Additionally, a modeling approach was followed in order to study the factors influencing the dietary preferences of goats. Inference – by adopting the Bayesian paradigm – was based on the best multinomial response logistic regression model, selected by the suitable model assessment criteria. According to the results, seasonal and yearly effects were both important in explaining the grazing behavior of goats, with season being the dominant factor. The model’s estimation accuracy was additionally assessed by the comparison of the calculated model-based dietary preferences with the corresponding observed values. The model could be a useful tool to estimate the seasonal changes of dietary preferences of grazing goats.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84960111909&partnerID=MN8TOARS
UR - https://www.sciencedirect.com/science/article/pii/S0168159116300156?via%3Dihub
U2 - 10.1016/j.applanim.2016.01.021
DO - 10.1016/j.applanim.2016.01.021
M3 - Article
VL - 177
SP - 25
EP - 33
JO - Applied Animal Behaviour Science
JF - Applied Animal Behaviour Science
ER -