In agroforestry experiments involving tree-crop mix, effects of trees may be felt on the very
plots on which they grow as well as plots in the neighborhood. The influences of trees on
nearby plots imply that there are underlying connections among the plots through a network
of tree effects. This tree network effects can be viewed in a manner similar to a simple graph
where nodes are connected. Therefore, choosing appropriate model for agroforestry design is
paramount to ensure that all sources of variation are adequately accounted for. This study
aimed to develop a class of designs under proportional network effect model which account
for tree effects from main as well as adjacent plots, with network effect proportional to direct
effect of tree. The designs are referred to as resolvable network balanced designs (RNetBD),
a property that makes them to be suitably used in multiple locations. The characterization
properties of the designs have been studied and the designs are found to be variance balanced
for estimating direct effects of trees. The efficiency factors of the designs are generally high
and appear to increase as number of tree species increases
