Phenotypic Variability, Trait Association and Path Coefficient Analysis of Cherry Tomato (Solanum lycopersicum Var. Cerasiforme) Genotypes

Background and Objective: This study addresses the phenotypic variability, trait associations, and path coefficient analysis of cherry tomato (Solanum lycopersicum var. cerasiforme) genotypes to identify promising genotypes for cultivation and industrial use in Bangladesh. The main aim was to evaluate the genetic variation, heritability, trait correlations, and their effects on fruit yield, along with identifying suitable genotypes for fresh and industrial purposes. Materials and Methods: The experiment was conducted at the Regional Research Station, BIRTAN, Noakhali, during 2021-2022 using a Randomized Block Design (RBD) with 11 cherry tomato genotypes and three replicates. Phenotypic traits, including fruit weight, number of fruits per plant, and yield, were recorded. Statistical analyses included correlation and path coefficient analysis to identify key traits influencing yield. Results: Genotype CT 22 had the highest number of fruits per cluster (13.96), and CT 35 recorded the highest average fruit weight (44.00 g). The highest fruit yield per plant was observed in CT 23 (8.68 kg). Significant positive correlations were found between fruit yield and traits such as fruits per cluster, plant height, and the number of clusters per plant. Path coefficient analysis identified clusters per plant, fruits per cluster, and pericarp thickness as key contributors to yield. The CT 23 exhibited the highest fruit yield and can be recommended for cultivation under Bangladesh conditions. Genotypes with higher pericarp thickness, like CT 35, CT 23, and CT 24, are suitable for industrial use, while CT 18, CT 19, and CT 26, with more locules, are desirable for the fresh market. Conclusion: This study provides valuable insights into phenotypic traits influencing fruit yield in cherry tomato genotypes, offering guidance for selecting suitable varieties for different purposes. Further research could focus on improving other yield-related traits and extending findings to commercial cultivation practices.