Lint yield and many other agronomic characteristics of cotton (Gossypium hirsutum L.) are greatly influenced by environment, The objectives of this work were to evaluate the use of stability analysis on various agronomic characteristics of cotton and to assess some of the environmental factors that influence their response. Lint yield, gin turnout, picked lint percentage, and micronaire data from a single-site, long-term, soil fertility experiment on cotton conducted in the field under irrigated, short-season conditions were analyzed using conventional split-plot in time analyses of variance. Stability analyses (linear regression of a response variable (e.g., lint yield) for a specific treatment on the location/year environment mean for the same response variable) were also used to investigate the treatment by environment interactions. Stability analyses suggested that applied N had no effect on lint yield in low-yielding environments (defined as <500 lb/acre). Applied N resulted in significant increases in lint yield in high-yielding environments (>500 lb/acre). No significant yield advantage was detected for applying more than 40 lb N/acre in low or high yielding environments. Applied N at 80 and 120 lb/acre reduced gin turnout in all environments, Higher N rates resulted in greater reductions in gin turnout in high gin-turnout environments. Micronaire was reduced by applied N in low-micronaire environments, but was increased by applied N in high-micronaire environments. Only in 2 of 11 yr did N fertilization influence micronaire of the cultivars tested. Stability analyses were useful in detecting subtle treatment effects over multiple environments in agronomic characteristics of cotton and for partitioning treatment by year interactions. This information was enhanced by having a minimum of 10 yr of data for all characteristics evaluated.