Genetics of yield and its components in Brassica Campestris (L.)

Abstract

Thesis Title: "Genetics and yield and its components in Brassica campestn's (L.)". 0509 M.Sc. Ag. NIL In present investigation, twenty genotypes of Brassica campes/ris were evaluated in a randomized block design with three replications at the Crop Research Centre, Department of Genetics and Plant breeding, Sardar Vallabh Bhai Patel University of Agnculture and Technology, Meerut, during rabi 2005. Data were recorded on nine characters viz., plant height (em), number of primary branches per plant, number of secondary branches per plant, numbers of siliquae per plant, number of seed per siliqua, biological yield per plant (g). seed yield per plant (g), harvest index and 1000 seed weight. The replication wise mean values of all the genotypes for all the nine characters were subjected to statistical analyses and GCV, PCV, heritability. genetic divergence. correlation coefficient and genetic divergence (0~ were worked out. The analysis of variance (ANOVA) showed highly significant differences were observed among the genotypes for all the nine characters. Results of GCV and PCV revealed that considerable amount of variability were present for all the character studted. The estimates of heritability (broad sense) were high for all the characters under study. High estimates of heritability was associated high genetic advance for plant height, number of siliquae per plant, biological yield and harvest index which is encouraging since selection based on these characters being of additive in nature. is likely to be more efficient for their improvement. So phenotype selection for these characters is likely to be more effective for the improvement of these characters. In general. estimates of genotypic correlation were higher than the corresponding phenotypic correlations. Seed yield showed significant and positive correlation with the characters number of primary branches per plant with number of seeds per siliquae per plant, indicated that improvement in seed yield will be made by increasing these characters. Based on the results of 02 analyses, all the thirty genotypes were grouped into six clusters. The cluster I was the largest cluster (10 genotypes) followed by cluster Ill (4 genotypes) and cluster IV (3 gnotypes. the remaining clusters had one genotype each. Genotypes included in different clusters had a wide range respected to mean seed yield. This indicates that the genotypes included in the same cluster were genetically dive~s:ed yield per plant. Thus these genotypes may be utilized for gelling high ~