Author(s): HA Trivedi, AM Patel, PR Dave and JJ Patel

Abstract: Forty Ajwain genotypes were evaluated during Rabi 2019–20 at the Agronomy Instructional Farm of the Sardar Krushinagar Dantiwada Agricultural University in Dantiwada. Every attribute has a substantial impact on the mean sum of squares. In this work, the complexity of the dataset was reduced to a simplified structure by using Principal Component Analysis (PCA) to examine the subtleties of twelve important features in ajwain genotypes. Twelve components were found through analysis; of these, the first five (PC1 through PC5) accounted for more than 87.47% of the overall variability seen in the qualities under investigation. The most variable plant, PC1, had the largest variance (45.2%), with attributes including plant height, number of umbels per plant, and seed output among others. The ensuing PCs also showed strong correlations with certain characteristics, offering a thorough comprehension of their connections respectively. Highlighting unique trait profiles were the primary scores for each genotype in the five components. Several variables showed higher values for HAJ-07 and AA-02 genotypes, which were prominent in PC1. These results confirm previous studies and emphasise the study's practical relevance even more. The genotypes HAJ-07 and AA-02 were chosen based on the highest PC scores in PC1 and PC2, which emphasises the study's practical applications even more. These findings provide important new understandings of the genetic diversity and phenotypic connections among genotypes of Ajwain, laying the groundwork for further breeding and development initiatives.

DOI: 10.33545/26174693.2024.v8.i1Sd.308