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Character Association and Genetic Diversity in Groundnut

M. A. Z. Chowdhury
SO
Oilseed Research Center, Bangladesh Agricultural Research Institute, Joydebpur, Gazipur-1701, Bangladesh

M. F. U. Mia
PSO
Oilseed Research Center, Bangladesh Agricultural Research Institute, Joydebpur, Gazipur-1701, Bangladesh

A. Ahmed
Director
Oilseed Research Centre, Bangladesh Agricultural Research Institute Joydebpur, Gazipur-1701, Bangladesh

M. S. Islam
SO
Statics, Bangladesh Agricultural Research Institute, Joydebpur, Gazipur-1701, Bangladesh

Abstract/ Executive Summary:

Genetic association and diversity studies among 33 groundnut genotypes of diverse origin were carried out for eight characters. The nut yield, nuts per plant and shelling percent showed high GCV. High heritability estimates were observed for nut weight, plant height, nut yield per plant and days to maturity. The nut yield showed highest genetic advance followed by nuts per plant, plant height and nut weight. The correlation study revealed that the nuts per plant, plant height, 100-nut weight, 100-kernel weight and shelling percent positively and significantly correlated with nut yield per plant. Nuts per plant showed a high positive direct effect on nut yield followed by 100-nut weight, indicating that selection for these characters would give gains in nut yield. The Mahalanobis's D²analysis distributed the 33 genotypes into four different clusters. The genotypes chosen from the same eco-geographic region were found scattered in different clusters which indicate that genetic diversity and geographic distribution were not necessarily related. Maximum inter cluster divergence was observed between cluster I and II indicating that highly divergent types existed in these clusters.

Keywords: Genetic association, Groundnut, Mahalanobis's D2

Location: Oilseed Rasearch Centre (ORC), Bangladesh Agricultural Research Institute, Gazipur

Start Date: 00-00-1996

End Date: 00-00-1997

Program Area: Variety and Species

Commodity: Ground nut

Objectives:

To evaluate the available genetic resources.

Methodology:

A total of 33 groundnut genotypes of diverse origin was chosen and studied during rabi 1996-97 at Oilseed Research Centre (ORC), Bangladesh Agricultural Research Institute, Gazipur in randomized block design replicated thrice. Each plot consisted of three rows of 4 m long spaced 40 cm between rows and 15 cm between plants. From each type, five plants were randomly selected and observations were recorded on plant height, primary branches per plant, nuts per plant, 100-nut weight (g), 100-kernel weight (g), shelling percent and yield per plant (g). Days to maturity was recorded on plot basis. The crop was irrigated whenever there was moisture stress and protected from diseases and pests to obtain comparable growth conditions in the season. Genotypic and phenotypic coefficient of variations (GCV and PCV) were estimated. Broad sense heritability (Hb), genetic advance as percent of mean and correlation coefficients were estimated. Path analysis were calculated. Mahalanobis's D² analysis was used for estimating the genetic divergence among the genotypes. For determining the group constellations, Tocher's method was followed.

Source of Information: Bangladesh J. .Agril. Res. 24 (1) : 73-82, March 1999

Article Link (Online Journal):

Funding Source:

1.

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The nut yield showed highest genetic advance followed by nuts per plant, plant height and nut weight. The correlation study revealed that the nuts per plant, plant height, 100-nut weight, 100-kernel weight and shelling percent positively and significantly correlated with nut yield per plant. Nuts per plant showed a high positive direct effect on nut yield followed by 100-nut weight, indicating that selection for these characters would give gains in nut yield. The Mahalanobis's D²analysis distributed the 33 genotypes into four different clusters. The genotypes chosen from the same eco-geographic region were found scattered in different clusters which indicate that genetic diversity and geographic distribution were not necessarily related. Maximum inter cluster divergence was observed between cluster I and II indicating that highly divergent types existed in these clusters.

Knowledge Management: Journal