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Genetic Diversity in Brassica Rapa L

H. Khatun
Department of Genetics and Plant Breeding Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur-1706, Bangladesh.

M. G. Rasul
Department of Genetics and Plant Breeding Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur-1706, Bangladesh.

M. M. H. Saikat
Department of Genetics and Plant Breeding Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur-1706, Bangladesh.

M. M. Haque
Department of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh.

Abstract/ Executive Summary:

The genetic diversity was assessed in 42 Brassica rapa genotypes for identifying parental genotypes having distant relationship for hybridization. All the genotypes were analyzed through principal component analysis, principal coordinate analysis canonical variate analysis and non-hierarchical clustering which compute Mahalanobis’s D² statistics. The genotypes under study were grouped into six clusters. The cluster V contained the maximum numbers of genotypes (15) and cluster III had the minimum number of genotypes (3). The highest intra-cluster distance was observed in cluster V that represented maximum variability within the cluster and Cluster VI had the lowest intra-cluster distance. The maximum inter cluster distance was noticed between the clusters II and III and the lowest between clusters II and VI. Cluster with large distances were considered more diverged than those with small distances. Yield and yield contributing characters such as days to 1^st flowering, number of siliquae on main racemes, number of siliquae per plant, number of seeds per siliquae 1000 seeds weight and seed yield per plant contributed more towards genetic divergence considering diversity pattern. Considering cluster distance, inter-genotypic distance, cluster mean and other agronomic performances genotypes BC-200502, BC-200505, BC-200506, BC-200510, BC-200512, BC-200515, BC-200519, BC-200521, BC-200529, BC-200530, BC-200531B, BC-200531Y, BC-200536, BC-200537, BC-200542, BC-200543, BARI Sarisha 12, and BARI Sarisha 14 may be selected from different clusters for hybridization program.

Keywords: Genetic divergence, Brassica rapa, Cluster analysis, D2-statistics

Location: At the experimental field of Genetics and Plant Breeding Department of BSMAU,Salna,Gazipur

Start Date: 00-11-2008

End Date: 00-03-2009

Program Area: Variety and Species

Commodity: Mustard

Objectives:

To identify divergent parents for hybridization program, which would provide superior segregates in mustard genotypes.

Methodology:

The experiment was conducted at the experimental field of Genetics and Plant Breeding Department of Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur-1706 during the winter season (November 2008 to March 2009) on upland soil. Forty two Brassica rapa genotypes were collected from Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur-1706 and Bangladesh Agricultural Research Institute (BARI), Joydebpur, Gazipur, Bangladesh. Randomized Complete Block Design (RCBD) with two replications was followed in this experiment. The plot size was 4m×1.2m and each plot had 4 rows with the distance between rows was 30 cm and between plants was 10 cm. On the other hand, block to block distance and plot to plot distance was 50 cm in each case. The crop was fertilized at the rate of 250, 170, 85, 150 and 10 kg/ha of Urea, TSP, MP, Gypsum and Borax, respectively according to BARI.The management of the crop including intercultural operations was done as per recommended practices. Data were recorded from 10 randomly selected plants in each plot for days to 1st flowering, days to 50% flowering, days to 100% flowering, days to last flowering, days to maturity, plant height, primary branches per plant, secondary branches per plant, leaf length (cm), leaf width (cm), petiole length (cm), root length (cm), length of main racemes (cm), number of siliquae on main racemes, length of siliquae (cm), length of beak (mm), number of siliquae per plant, number of seeds per siliqua, 1000 seeds weight (g), harvest index (%) and seed yield per plant (g). The data were analyzed following Mahalanobis’s D2- statistics (Mahalanobis, 1936) and principal component analysis (PCA) for assessment of genetic divergence among the genotypes (Rao, 1952 and Singh and Chaudhary, 1985). All the statistical analysis was carried out using GENSTAT 5 computer based program.

Source of Information: Bangladesh J. Pl. Breed. Genet., 23(1): 31-37, 2010

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

The cluster V contained the maximum numbers of genotypes (15) and cluster III had the minimum number of genotypes (3). The highest intra-cluster distance was observed in cluster V that represented maximum variability within the cluster and Cluster VI had the lowest intra-cluster distance. The maximum inter cluster distance was noticed between the clusters II and III and the lowest between clusters II and VI. Cluster with large distances were considered more diverged than those with small distances. Yield and yield contributing characters such as days to 1^st flowering, number of siliquae on main racemes, number of siliquae per plant, number of seeds per siliquae 1000 seeds weight and seed yield per plant contributed more towards genetic divergence considering diversity pattern. Considering cluster distance, inter-genotypic distance, cluster mean and other agronomic performances genotypes BC-200502, BC-200505, BC-200506, BC-200510, BC-200512, BC-200515, BC-200519, BC-200521, BC-200529, BC-200530, BC-200531B, BC-200531Y, BC-200536, BC-200537, BC-200542, BC-200543, BARI Sarisha 12, and BARI Sarisha 14 may be selected from different clusters for hybridization program.

Knowledge Management: Journal