Introduction and Objective: Tomato (Solanum lycopersicum) is one of the most important economic and widely used crops in horticulture. It is a self-fertilizing and diploid plant and has 24 pairs of chromosomes (2n=2x=24). The life cycle of this plant is one year, and it is cultivated in greenhouses and fields. There are many varieties of tomatoes that differ from each other in terms of plant growth, quality, fruit shape, and other traits. Tomato fruit has a high nutritional value, consisting of minerals, vitamins, fibers, citric acid, β-Carotene and ascorbic acid. Diversity and selection are the two main pillars of any reformation program, and choosing is based on the existence of desirable diversity in the reformation materials under discussion. To produce varieties of tomatoes with high productivity, quality and resistance, breeders need evaluation of genetic diversity, identification and introduction of new genotypes. In other words, systematic study and evaluation of germplasm is of great importance for current and future agronomic and genetic improvement of the crop. Different methods are used to estimate genetic diversity and group genotypes, and the evaluation of morphological and physiological characteristics can be considered as the first step in the investigation of genetic diversity. Different genotypes of tomato differ in terms of morphological and physiological traits, and fruit yield is influenced by some of these traits. Therefore, the selection of criteria other than fruit yield, which have more stability than fruit yield, can be considered as a selection guide in the selection of desirable cultivars. Accordingly, this study was conducted with the aim of investigating the genetic diversity and grouping of tomato genotypes (53 genotypes) based on morphological and physiological traits. Material and Methods: In the present study, 53 genotypes of tomato plants were investigated using a randomized complete block design with three replications under greenhouse conditions at the Gorgan University of Agricultural Sciences and Natural Resources. After disinfecting and planting the seeds in the pot, sampling of the seedlings was performed. Morphological traits such as plant height, stem diameter, fresh and dry weight of the plant, number of side branches, number of leaves, root length, fresh and dry weight of the organ air, fresh and dry weight of roots, fruit number, fruit yield, and physiological traits including proline content, photosynthetic pigments (including chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid), and total phenolic and flavonoid compounds were measured. Furthermore, the obtained data were subjected to variance analysis, mean comparison, correlation coefficient, factor analysis, and cluster analysis using suitable software. Results: After analyzing the data, the results of the evaluation of variance showed that the difference of the studied genotypes in terms of all traits except proline trait was significant at the probability level of 1%. Estimation of the correlation coefficients between the studied traits showed a significant correlation between most of the studied traits and fruit yield. Further, the results of the investigation into factors showed that 6 factors explained more than 77% of the total variance, so that the contribution of the first to sixth factors was 24, 18, 14, 9, 7, and 6% of the total changes, respectively. For better interpretation, larger factor coefficients for each factor were considered significant. Because the largest factor coefficients among the coefficients of each factor indicate the attribute or attribute that plays the greatest role in those factors, the factors were named accordingly. In this way, the first factor was named the fruit yield factor, the second the photosynthesis factor, the third the phenolic factor, the fourth the root weight factor, the fifth the proline factor, and the sixth the stem diameter factor. Based on the results of the cluster analysis, it was observed that the genotypes were significantly different in terms of the measured morphological and physiological traits and they were placed in 3 different groups, each of which had 30, 19, and 4 genotypes, respectively, and the genotypes in the group Third, in terms of studied traits, they were better to other groups. Conclusion: In general, based on the analysis, the genotypes were significantly different in terms of the measured traits. This article shows that there is a suitable diversity among the studied genotypes and it is possible to select based on these characteristics among the studied genotypes and the selection can be effective in their improvement programs. By estimating the phenotypic correlation coefficients, it was found that the fruit yield trait had the most positive and significant correlation with the number of fruits and the amount of photosynthetic pigments. Therefore, these traits can be considered in tomato fruit yield genetic improvement programs. Considering that the average of most of the traits studied for the genotypes belonging to the third cluster (13, 15, 45 and 46) was higher than the total average and the said genotypes were excellent in terms of developmental and physiological parameters compared with other genotypes, the top genotypes identified in this research can be considered and used in future breeding studies in this valuable plant. [ABSTRACT FROM AUTHOR]