Characterization and categorization of Indian mustard genotypes for agro-morphological traits

Abstract

A total of sixty genotypes and germplasm lines were evaluated and characterized for 14 quantitative and 8 qualitative traits in Brassica juncea. Observations were recorded on the basis of scores given in the DUS descriptor. Majority of accessions were very late in maturity and medium in flowering. No variability was observed for leaf length and leaf width. On the basis of branches, most of the genotypes were classified under intermediate category. Long main shoot length (31), medium number of siliquae on main shoot (46), medium density on main shoot (52), short siliqua length (51), very tall plant height (38), few numbers of seeds per siliqua (33), medium 1000-seed weight (38), medium seed yield per plant (32) and low oil content (40) were observed in most of the genotypes. For qualitative traits, most of the genotype showed dark green leaf color, sparse hairs, dentation of leaf margin lyrate type, open leaf growth habit, yellow petal color, semi-appressed siliqua angle with main shoot and intermediate siliqua surface texture. Wide (Yellow, Dull grey, Reddish brown, Brown and Black) diversity has been observed for seed color.

Varietal characterization and categorization of barnyard millet varieties, cultivars and mutants for varietal identification

“…Based on this variations, the genotypes were grouped in semi dwarf with two (PRJ 1 & PRB 903), three were tall (TNEF 317,IEC 350 and IEC 356) were wide in nature. Similar characterization was also done by Tiwari et al, (2017) and Neeru et al, (2017) in Indian mustard.…”

Evaluation of Genetic Variation in Indian mustard (Brassica Juncea L Czern and Coss) Using Multivariate Techniques

“…L) genotypes into six clusters. Neeru et al (2015)[5] used principal component analysis and hierarchical cluster analysis on 25 characters in 60 genotypes of Indian mustard (Brassica juncea L.) identified 11 principal components which explained about 75% variability. Using cluster analysis all the 60 genotypes were categorized into 10 clusters.…”