@conference {3672,
	title = {Analysing hidden patterns of farmers{\textquoteright} preferences for farm performance characteristics that may be related to tail-docking practice decisions},
	booktitle = {Proceedings of the New Zealand Society of Animal Production},
	volume = {75},
	year = {2015},
	month = {07/2015},
	pages = {205-209},
	address = {Dunedin},
	abstract = { We investigated how multivariate statistics can be used to determine the different patterns of preferences that may exist within a
farmer population. As a case study, we used adaptive conjoint analysis to analyse farmers{\textquoteright} preferences for nine farm performance
characteristics that may be related to tail docking practice decisions. As expected, at the whole population level, farmers{\textquoteright}
preferences for these traits were found to be highly heterogeneous, with only the most important issues and least important issues
being able to be statistically differentiated. Using Cluster Analysis and Principal Components Analysis we found some hidden
relationships and identified the existence of four groups of farmers that had greater preferences for different characteristics; group
one preferred having less dags and less costs associated with dagging and crutching, group two preferred to reduce euthanasia
from uterine prolapse and rectal prolapse, group three preferred to avoid stressing lambs at the time of docking and group four
preferred to have less fly-strike and greater weaning weights. We discuss how the use of multivariate statistics allowed a deeper
interpretation of preference studies in a context of importance to NZ farmers.},
	issn = {1176-5283},
	author = {Martin-Collado D and Byrne TK and Amer PR and Behrent MJ and Maclennan G and Kerslake JI}
}
