Interpreting Zero altered models in MCMCglmm

John--

In addition to Jarrod's specific suggestions, you might give a look at 
an article we wrote describing GLMM for count data (including 
zero-inflated / hurdle models), which also has accompanying R code, 
focused in large part on MCMCglmm:

Atkins, D. C., Baldwin, S., Zheng, C., Gallop, R. J., & Neighbors, C. 
(2013). A tutorial on count regression and zero-altered count models for 
longitudinal substance use data.  Psychology of Addictive Behaviors, 27, 
166-177. doi: 10.1037/a0029508 PMCID: PMC3513584.

MS, data, code can be found from link at:

http://depts.washington.edu/cshrb/statistical-resources-tutorial-link/

Hope that helps and best wishes with your analyses.

cheers, Dave

Dave Atkins, PhD

Research Professor
Department of Psychiatry and Behavioral Science
University of Washington
datkins at u.washington.edu
http://depts.washington.edu/cshrb/david-atkins/#more-48

"The combination of some data and an aching desire for an answer does 
not ensure that a reasonable answer can be extracted from a given body 
of data." -- John Tukey