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Study on Genetic Diversity of Pointed Gourd Using Morphological Characters

A.S.M.R. KHAN
Senior Scientific Officer
Biotechnology Division, BARI, Joydebpur, Gazipur

M.G. RABBANI
Professor
Department of Horticulture, BAU, Mymensingh

M.A. SIDDIQUE
Professor
Department of Horticulture, BAU, Mymensingh

M.I. HOSSAIN
Scientific Officer
Economics Division, BARI, Joydebpur, Gazipur, Bangladesh.

Abstract/ Executive Summary:

The genetic diversity among 64 pointed gourd genotypes were assessed through multivariate analysis from an experiment conducted in Regional Agricultural Research Station, lshurdi, Pabna during the growing season 2002-2003. The genotypes were grouped into twelve clusters. The cluster V consisted of highest number of genotypes and it was nine, the cluster VI and cluster VIII contained the lowest number of genotypes and it was two in each. The clustering pattern of the genotypes under this study revealed that the genotypes collected from the same location were grouped into different clusters. The genotypes of Jessore were distributed in different clusters. The highest inter genotype distance as 366.3 observed between the genotypes P0022 and P0007 and the lowest 2.6 as observed between the genotypes P0043 and P0044. Cluster V had the highest cluster mean value for internode length, fruit weight per plant and yield the highest inter-cluster distance was noticed between cluster III and II (45.71) and the lowest between cluster VII and VI (3.33). ‘The highest intra cluster distance was computed for cluster III and that was lowest for the cluster II. The first five axes accounted for 77.65% of the total variation among the 13 characters describing 64 pointed gourd genotypes. Fruit weight, seeds per fruit and fruit weight per plant contributed maximum to the total divergence. The results obtained by D² analysis were confirmed by canonical analysis.

Keywords: Diversity pointed gourd, Morphological characters.

Location: Department of Horticulture, BAU, Mymensingh

Start Date: 00-00-2002

End Date: 00-00-2003

Program Area: Variety and Species

Commodity: Pointed gourd

Objectives:

To quantify of variability of pointed gourd from genetic point of view

Methodology:

Principal Coordinate Analysis (PCO): Inter genotypic distance D2 were obtained from principal coordinate analysis for all possible combinations between pairs of genotypes. The highest inter genotype distance was 366.3 observed between the genotypes PG022 and PG007 followed by the distance 362.9 observed between the genotypes PG022 and PG013. The lowest distance was 2.6. which was observed between the genotypes PG043 and PG044 followed by the distance 3.0 was observed between the genotypes PGI4 and PG0I5. The difference between the highest and lowest inter-genotype distance indicated the presence of variability among the 64 genotypes of pointed gourd.

Canonical Variant Analysis (CVA): Canonical variant analysis was performed to obtain the cluster distance (Mahalanohis’s D2 value). The values of inter cluster distance (D2). Statistical distances represent the index of genetic diversity among the clusters. The inter cluster distances were larger than the intra cluster distances suggesting wider genetic diversity aniong the genotypes of different groups. Based on the thirteen quantitative characters of pointed gourd genotypes, PCO was carried out to determine inter accession distance (D2). The intracluster distance, obtained by using the values of inter genotypes distance under each cluster as suggested by Singh and Chaudhuary (1985), and intra cluster distance was obtained from CVA .

Non-hierarchical clustering: None hierarchical clustering using co-variance matrix grouped 64-pointed gourd genotypes into twelve different clusters. It may be concluded that these results were confirmatory with the clustering pattern of the genotypes obtained through principal component analysis. Ram (2001) carried out component analysis and cluster analysis in (7) pointed gourd genotypes, and all genotypes got disbursed into 8 groups in the present study. Cluster V contained the highest number of genotypes (9) followed by cluster 1 (8). cluster X (7), cluster IX (7), cluster X (6), cluster VII (6) and cluster IV (5), respectively. While cluster II. III. and VIII and cluster VI having three and two genotypes, respectively. The clustering pattern of the genotypes under this study revealed that the genotypes collected from the same location can also group into different clusters. The genotypes of Jessore were distributed in different clusters. The genotypes belonging to different locations were grouped in the same cluster. This shows that geographic diversity was not related to genetic diversity of these materials. Masud el al. (1995) also reported similar results in sweet gourd.

Source of Information: Bangladesh J. Agril. Res. 33(3): 607-616, December 2008 ISSN 0258-7122

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

Considering the magnitude of genetic distance, contribution of different characters towards the total divergence and magnitude of cluster means for different characters performance, the following genotypes were considered to perform better if used in hybridization programme. The genotypes PGOOI of cluster X could be selected for earliness and longer fruit. The genotypes PG023, PG029 and PG042 of the cluster V could he selected for lower seed, higher fruit weight per plant and yield. The genotypes PGOO7, PGOI2 and PCOI3 of the cluster II could be selected for higher number of fruits per plant. The genotypes PG043. PG044 PG045 and PG046 of the cluster IX could he selected for size and width of fruit.

Knowledge Management: Journal