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Character Association and Path Analysis of Exotic Tomato (solanum Lycopersicum L.) Genotypes

B. M. R. Islam
Department of Genetics and Plant Breeding Bangbandhu Sheikh Mujibur Rahman Agricultural University Gazipur 1706, Bangladesh.

N. A. Ivy
Department of Genetics and Plant Breeding Bangbandhu Sheikh Mujibur Rahman Agricultural University Gazipur 1706, Bangladesh.

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

M. Zakaria
Department of Genetics and Plant Breeding Bangbandhu Sheikh Mujibur Rahman Agricultural University Gazipur 1706, Bangladesh.

Abstract/ Executive Summary:

Correlations and path coefficient were studied in 39 exotic tomato (Solanum lycopersicum L.) genotypes for nine yield contributing characters. The correlation coefficients were determined to find out the inter relationship among the characters studied. Yield per plant was found highly significant and positively correlated with flowers per plant, fruits per plant, fruit length, fruit diameter and individual fruit weight which indicated that yield could be increased by improving a traits. In order to obtain a clear picture of the inter relationship between yield per plant and its components, direct and indirect effects were measured using path coefficient analysis. Fruits per plant showed the highest positive direct effect (0.980) on yield per plant followed by individual fruit weight (0.958). On the other hand, the highest negative direct effect on yield per plant showed by days to first flowering (-0.277) followed by fruit length (-0.141). The characters showed high direct effect on yield per plant indicated that direct selection for these traits might be effective and there is a possibility of improving yield per plant through selection based on these characters. Residual effect was considerably low (0.183) which indicated that characters included in this study explained almost all variability towards yield.

Keywords: Correlation coefficients, Path coefficient analysis, Residual effect

Location: Department of Genetics and Plant Breeding,BSMRAU,Salna, Gazipur

Start Date: 00-10-2008

End Date: 00-03-2009

Program Area: Variety and Species

Commodity: Tomato

Objectives:

To estimate associations among desired traits and their direct and indirect contributions toward yield.

Methodology:

The experiment was conducted at the experimental field of Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur during winter season (October 2008 to March 2009) on an upland soil. The experimental site was situated in the sub tropical climate zone, characterized by heavy rainfall during the months from May to September and scanty rainfall in the rest of the year. Seeds of F₂ segregating generation of 39 exotic tomato genotypes were used as experimental materials and collected from the Genetics and Plant Breeding Department. The recommended doses of fertilizers such as cowdung 9 t/ha, Urea (550 kg/ha), TSP (450 kg/ha) and MP (200 kg/ha) were applied during cultivation. The experiment was conducted using Randomized Complete Block Design (RCBD) with three replications. Genotypic and phenotypic correlation coefficients were calculated according to the formula suggested by Johnson et al. (1955) and Hanson et al. (1956). Correlation coefficient were further partitioned into components of direct and indirect effects by path coefficient analysis originally developed by Wright (1921) and later described by Dewey and Lu (1959).

Source of Information: Bangladesh J.Pl. Breed. Genet., 23(1):13-18, 2010

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

Yield per plant was found highly significant and positively correlated with flowers per plant, fruits per plant, fruit length, fruit diameter and individual fruit weight which indicated that yield could be increased by improving a traits. In order to obtain a clear picture of the inter relationship between yield per plant and its components, direct and indirect effects were measured using path coefficient analysis. Fruits per plant showed the highest positive direct effect (0.980) on yield per plant followed by individual fruit weight (0.958). On the other hand, the highest negative direct effect on yield per plant showed by days to first flowering (-0.277) followed by fruit length (-0.141). The characters showed high direct effect on yield per plant indicated that direct selection for these traits might be effective and there is a possibility of improving yield per plant through selection based on these characters. Residual effect was considerably low (0.183) which indicated that characters included in this study explained almost all variability towards yield.

Knowledge Management: Journal