The present study was conducted for assessment of the phenotypic trait plasticity, interrelationships among host-pathogen traits as well as their spatial magnitudes at Indian hot arid regions (n =14) pertains to Ganoderma lucidum (soil borne pathogenic fungi and Prosopis cineraria (multipurpose agroforestry tree). In this study, various traits of P. cineraria (canopy cover, Diameter at Breast Height i.e. DBH and light interception under canopy and traits of G. lucidum fruiting body i.e. Pileus width, cover and stipe length were measured. Predictor (host traits) and response (pathogen traits) relationships were assessed through Partial Least Square (PLS) regression. Spatial pattern analysis of the studied traits belong to host and Ganoderma fruiting body were analyzed through using density based indices i.e. Index of dispersal, Lloyd’s mean crowding, Morisita’ index of dispersion and by using spatial autocorrelation technique (Moran’s I index). For host, the maximum and minimum trait plasticity was recorded for light intensity and canopy cover, respectively. While for G. lucidum, maximum was recorded for stipe length and pileus cover. Through PLS, we established the regression equations for pileus cover and width of pileus. Distance based spatial pattern analysis revealed the clumped pattern for pileus cover, stipe length and host cover, while uniform pattern was recorded for width of pileus and host DBH. Contrary to these, spatial autocorrelation (Morain’s I variograms) suggested the random nature of all the parameters. From disease management point of view, such results suggested that for specific diseased area, a general management prac-tice or recommendation can be formulated, but such practice cannot be promulgated for large geographical areas as the hostpathogen parameters complex showed randomness