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Studies on Genetic Variability and Interrelationship Among the Different Traits in Tomato (lycopersicon Esculentum Mill.)

A. Haydar
Plant Breeding and Gene Engineering Laboratory, Department of Botany, Rajshahi University, Rajshahi-6205, Bangladesh

M. A. Mandal
Seneor Scientific Officer
Bangladesh Agriculture Research Institute, Burirhat, Rangpur, Bangladesh

M.B. Ahmed
Plant Breeding and Gene Engineering Laboratory, Department of Botany, Rajshahi University, Rajshahi-6205, Bangladesh

M.M. Hannan
Plant Breeding and Gene Engineering Laboratory, Department of Botany, Rajshahi University, Rajshahi-6205, Bangladesh

R. Karim
Plant Breeding and Gene Engineering Laboratory, Department of Botany, Rajshahi University, Rajshahi-6205, Bangladesh

M. A. Razvy
Plant Breeding and Gene Engineering Laboratory, Department of Botany, Rajshahi University, Rajshahi-6205, Bangladesh

U. K. Roy
Plant Breeding and Gene Engineering Laboratory, Department of Botany, Rajshahi University, Rajshahi-6205, Bangladesh

M. Salahin
Plant Breeding and Gene Engineering Laboratory, Department of Botany, Rajshahi University, Rajshahi-6205, Bangladesh

Abstract/ Executive Summary:

The genetic parameters, character association and path coefficient analysis between yield and yield contributing characters of different tomato genotypes were studied. The genotypes exhibited a wide range of variability for all the traits studied. The traits were also found to be highly heritable. High genetic advance as percentage of mean was exhibited for fruit weight/plant followed by number of fruits in three cluster/plant and number of flowers in three clusters/plant. Fruit yield had high positive r_p and r_g with total number of fruits at harvesting period and number of fruits in three clusters/plant. Plant height at flowering, number of flowers in three clusters/plant, days to flowering and total number of fruits at harvesting period also contributed yield directly. The results indicate that for increasing yield, selection should be based on plants bearing more fruits of larger size and weight.

Keywords: Genetic variability, Tomato, Path coefficient

Location:

Start Date: 00-09-1998

End Date: 00-02-1999

Program Area: Variety and Species

Commodity: Tomato

Objectives:

To find out the variability, genetic parameters, character associations and path coefficient analysis between yield and yield contributing characters of tomato.

Methodology:

Twelve tomato genotypes received from Rantic Ltd, Namo Bhadra, Rajshahi, were grown at Botanical Research Garden, Rajshahi University, Rajshahi, Bangladesh during September 1998 to February 1999. Each genotype was grown in a single 10 m long row. The experiment was laid out in the Randomized Block Design with three replications. The experimental plot was divided into three unit plots, each of 4.5×13.9 square meter size, with 75 cm spacing between the replications and 30 cm between the rows. Appropriate agronomic practices were followed to raise a good crop. Five randomly selected plants were used for recorded observations on Days to Flowering (DF), obtobyw (PHF), Number of Leaves at Flowering (NLF), Number of Flowers in Three Cluster/plant (NF1), number of fruits in three cluster/plant (NF2), Total Number of Fruits at Harvesting Period (TFHP) and fruit weight/plant (FW/P). Genotypic Coefficient of Variation (GCV), Phenotypic Coefficient of Variation (PCV), heritability in broad sense (h2b), genetic advance in percentage of mean (GA%), genotypic (r_g) and phenotypic correlation coefficient (r_p) and path coefficient analysis were done following the formula used by Singh and Choudhury.

Source of Information: Middle-East Journal of Scientific Research 2 (3-4): 139-142, 2007, ISSN 1990-9233, © IDOSI Publications, 2007

Article Link (Online Journal): http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.494.4899&rep=rep1&type=pdf

Funding Source:

1.

Budget:

Total Budget (Tk.) :

Achievement/Findings:

GCV and PCV were maximum for fruit weight while it was minimum for number of leaves at flowering. The highest GCV and PCV for fruit weight/plant was obtained. The character with high values of GCV and h2b accompanied by high GA% suggests that improvement of these would be effective through phenotypic selection. High h2b associated with moderate to low GA% for days to flowering, plant height at flowering and number of leaves at flowering may be attributed to non-additive gene action and may be further improved through hybridization. Fruit weight showed significant positive correlations with number of leaves at flowering, number of flowers, number of fruits and total number of fruits at harvesting period at both the level except number of leaves at flowering at phenotypic. Number of branches and fruit/plant showed significant positive correlations with yield/plant at both the levels. The correlation study suggested that the important characters like number of leaves at flowering, number of fruits at harvesting showed positive association with fruit weight i.e. increase of leaves at flowering, number of flowering and total number of fruits at harvesting reflects yield increase. On the other hand, positive associations with these characters indicate that vegetatively tall and vigorous plant stature with more flowers produce more fruits. Thus, these characters are important yield attributes to be reckoned in the selection criteria for improvement. The path coefficient analysis involves a method of partitioning correlation coefficient into direct and indirect effects through alternate pathways, "_rg" were used to compute the path analysis. The conclusion that can be reached from the variability, correlation and path coefficient was that plant height at flowering and number of flowers was the most important yield contributing characters and maximum emphasis should be given on these characters.

Knowledge Management: Journal