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Genetic Variability and Correlation Studies in Exotic Cucumber (cucumis Sativus L.) Varieties

M. Z. Ullah
Hybrid Rice, Plant Breeding Division, Bangladesh Rice Research Institute,

M. J. Hasan
Hybrid Rice, Plant Breeding Division, Bangladesh Rice Research Institute,

A. Z. M. K. A. Chowdhury
GETCO Agro Vision, Bangladesh,

A. I. Saki
Bangladesh Agricultural Development Corporation, Tangail

A. H. M. A. Rahman
Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh.

Abstract/ Executive Summary:

Twelve exotic cultivars of cucumber (Cucumis sativus) were grown to assess the presence of variability for desired traits and amount of variation for different parameters. Genetic parameters, correlations, partial correlation and regressions were estimated for all the traits. Analysis of variance revealed significant differences among entries for all the characters. The estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were high for yield per plant, fruits per plant, fruit weight and fruit length. Broad sense heritability estimates for various traits ranged from 42.26 to 89.55%. Fruit yield per plant showed high significant positive correlation with fruits per plant, fruit weight, flesh thickness, fruit diameter and leaves per plant. Partial correlation was significant for fruits per plant and indicated these traits contributed over 70% to total fruit yield. By variability, correlation and regression analysis it was concluded that more fruits per plant and more fruit weight are major yield contributing factors in selecting high yielding cucumber cultivars.

Keywords: PCV, GCV, Correlation, Regression, Cucumber

Location: Research & Development farm of Energypac Agro Ltd., Monipur, Gazipur

Start Date: 03-03-2011

End Date: 15-06-2011

Program Area: Variety and Species

Commodity: Cucumber

Objectives:

This study was carried out to determine the extent of genetic variation among available cucumber genotypes with the specific objective of using suitable genetic parameters such as phenotypic and genotypic variances, phenotypic and genotypic coefficients of variation and genetic advance as a basis for future breeding work in cucumber.

Methodology:

Twelve cucumber varieties were used for this study. A Randomized Complete Block Design (RCBD) with 3 replicates was used for these studies in Kharif-1, 2011. The unit bed size was 2m × 12m. There were 12 plants per bed with two rows. Plant spacing was 1 m by 1m. Two seeds were seeded in poly bag, after 16 days of seeding one healthy seedling was transplanted in main field with left the poly bag. All cultural practices were followed as per recommended. Vegetative attributes measured were vine length and number of leaves at harvest. Reproductive attributes measured were days to flowering, days to harvest, fruit length, fruit diameter, flesh thickness, Placental thickness, fruit weight, fruits per plant and yield per plan. The data obtained were subjected to Analysis of variance and significant means were separated using Duncan’s Multiple Range Test (DMRT). The mean values were used for genetic analyses to determine Phenotypic Coefficient of Variation (PCV) and Genotypic Coefficient of Variation (GCV), according to Singh and Chaudhury (1985). The mean characters that showed significant variations were used to determine partial correlation and simple linear correlation coefficients according to Snedecor and Cochran (1967). A correlation matrix was drawn up using the linear correlation coefficients.

Source of Information: Bangladesh Journal of Plant Breeding & Genetics, 25(1): 17-23, 2012

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

From the result, fruit weight, fruits per plant, fruit length and days to flowering were shown to have high to moderate genotypic variance, high heritability, greater genetic gain and significant positive correlation with yield. Selection can therefore be based on these characters and their phenotypic expression would be a good indicator of their genotypic potentiality. The remaining traits recorded lower scores in the four genetic parameters considered in this study and therefore offered less scope for selection as they were much more under the influence of the environment. Regression analysis also indicated fruits per plant and fruit weight as the most effective variables contributing to the grain yield. So, it is concluded that these two traits may be considered as the selection criteria for the improvement of cucumber fruit yield.

Knowledge Management: Journal