Study of Metroglyph Analysis in Faba Bean (Vicia faba L.) Genotypes for Different Quantitative Characters

Abstract

The study conducted at the Research Farm of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences during the rabi/winter season of 2022-23 aimed to estimate the genetic diversity and morphological variations among 20 Faba bean (Vicia faba L.) genotypes using Anderson’s metroglyph analysis for different quantitative traits. Analysis of variance revealed significant differences for all the characters studied indicating the presence of considerable amount of variability among the genotypes. The genotypes viz, IVT HB19-14 I, IVT HB 19-11, ABSPS-2-1, AVT I HB16-15, IVT HB18-15, VIKRANT (CHECK), ABSPS-1-5, ABSPS-1-2 recorded significantly superior seed yield and yield contributing traits respectively. Six distinct morphological complexes were identified as a result of the analysis, which showed significant variation among the genotypes for the majority of traits. Complex I included eight genotypes with high seed yield and a high number of seeds per plant, while Complex II comprised five genotypes with low seed yield and a low number of seeds per plant. Complex III: High seed yield with a lower number of seeds per plant including three genotypes. Complex IV: Moderate seed yield with a higher number of seeds per plant, represented by two genotypes, Complex V: Very low seed yield and a very low number of seeds per plant, represented by one genotype and Complex VI: Low plant height with a very low number of spikelet’s per panicle, represented by one genotype. The genotypes IVT HB18-15, IVT HB19-13, IVT HB19-14 I, IVT HB19-11, ABSPS-1-1, ABSPS-1-2, ABSPS-1-4, and VIKRANT were identified as superior due to their high index scores and were suggested for use in breeding programs to enhance yield and other desirable traits. The study concluded that metroglyph analysis is an effective method for assessing genetic diversity and morphologicalvariations, providing valuable insights for breeders to improve Faba bean yield and adaptability through targeted cross-breeding of superior genotypes.