Abstract:
In plant breeding programs to select superior varieties that are widely adapted, it can be done with a selection method that is by estimating the value of genetic parameters and the closeness of the relationship between characters. This study aims to estimate genetic parameters including genetic diversity coefficient, phenotypic diversity coefficient, heritability value, and a correlation between the character of plants from eight soybean varieties at Prafi District. The study was designed using a Randomized Block Design (RBD) with 8 treatments of soybean varieties. Each treatment was repeated 4 times, to obtain 32 experimental units. The observed variables included growth and yield components of the eight soybean varieties. The data obtained were analyzed using ANOVA and the significant effect was further tested using the Duncan Multiple Range Test (DMRT) at the 95% level, through the Costat program. The results of ANOVA analysis were used to obtain the values of genetic parameters including Genetic Diversity Coefficient (GDC), Phenotype Diversity Coefficient (PDC), and Heritability. Correlations between characters were also analyzed using the Costat program. The estimation results of genetic parameters indicate that the characters selected for selection criteria are based on the value of GDC, PDC, and high heritability are the number of branches, number of fertile nodes, number of filled pods, and number of total pods. The characters that show a positive correlation with the yielding character are plant height, number of trifoliate leaves, harvest age, number of filled pods, number of empty pods, total pods, and number of seeds per plant.
