Eggplant (Solanum melongena L.) fruits are rich source of minerals like calcium, magnesium, potassium, iron, zinc and copper. It is a fair source of fatty acids and is used for medicinal purposes in curing diabetes, asthma, cholera, bronchitis and diarrhoea. Leaf and fruit, fresh or dry produce marked drop in blood cholesterol level. The de-cholestrolizing action is due to high concentration (65.1%) of polyunsaturated fatty acids (lion oleic and linolenic) present in flesh and seeds. The presence of magnesium and potassium salts also help in decholesterolizing action. Aqueous extract of fruit inhibits choline esterase activity of human plasma. Dry fruit is reported to contain goitrogenic principles. Mutation breeding is important from theoretical and applied points of view and is one of the most effective tools for creating genetic variability (Khan and Goyal 2009). Cultivars have been developed through mutation breeding coupled with crossing in eggplant. Yet many specific character improvement like resistance to bacterial wilt, drought tolerance, etc. calls for adoption of induced mutation breeding program. In mutagenesis, the choice of the mutagen is most important. Even though, mutation breeding, a powerful tool for inducing variability has been attempted in many crops, only very meagre reports were available in eggplant. In view of the above facts, the present investigation was undertaken to identify the most effective and efficient mutagen among the gamma rays, DES and EMS on the magnitude of induced genetic variability in M 2 and M 3 generations. The present study was conducted during 2007-2010 at Plant Breeding Farm, Faculty of Agriculture, Annamalai University, Chidambaram for creation of variability and to workout effectiveness and efficiency of mutagens in eggplant. Healthy and pure seeds of five eggplant cultivars, viz. Angoor, Annamalai, Hissar Pragath, PLR 1 And Putheri were treated with physical mutagen, viz. gamma rays and two chemical mutagens, viz. Ethyl Methane Sulphonate (EMS) and Diethyl Sulphate (DES) for inducing mutation on seven quantitative characters, viz. days to 50% flowering, plant height, number of branches per plant, number of fruits per plant, fruit length, fruit weight and fruit yield per plant. Healthy and dried seeds were treated at the Gamma Chamber, Kidway Institute of Cancer Research, Bangalore. The treated seeds were placed in the moist germination paper as per the standard method of seed testing and rolled separately for each treatment including control with three replications. The bulked seeds from individual treatments of M 1 generation were used for raising the M 2 generation. The M 2 generation was grown with three replications in randomized block design. The number of plants per treatment was fifty and was transplanted to experimental plots of 3 m × 4.5 m. The M 2 generation was critically screened for chlorophyll mutations and mutation frequency was determined. All the recommended cultural operations namely weeding, protective irrigations and plant protection measures were carried out during the crop growth. Genotype wise and treatment wise seeds from three replications in M 2 generation were mixed for advancing to M 3 as bulk families. One hundred plants were raised per treatment per genotype. For estimation of induced variability, five plants were randomly selected from each treatment in M 2 and M 3 generation and mean values and coefficient of variation were calculated using standard statistical procedures. The usefulness of a mutagen in mutation breeding not only depends on its mutagenic effectiveness (mutation per unit dose of mutagen), but also on its mutagenic efficiency (mutation in relation to undesirable changes or damages like sterility, lethality, injury etc.). The higher efficiency of a mutagen indicates relatively less biological damage in relation to mutations induced (Goyal et al. 2009; Jain and Khandelwal, 2009 and Pavadai et al. 2009). The selections of effective and efficient mutagens are very essential to recover a high