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Association of Correlation and Cause-effect Analysis Among Morphological Traits in Chili (capsicum Frutescens L.)

Dr. Md. Jamil hasan
Principal Scientific Officer
Hybrid Rice Division Bangladesh Rice Research Institute Gazipur-1701

Md. Zahir Ullah
Plant Breeder
Energypac Agro Ltd. Hotapara, Monipur Gazipur

Abstract/ Executive Summary:

Twelve selected open pollinated genotypes were tested in Randomized Complete Block Design (RCBD) with three replications during Rabi season 2009. Statistically, significant variation was observed among tested materials for all the characters studied. The higher genotypic coefficient of variations was found in case of fruit yield per plant followed by fruits per plant, average fruit weight and fruit length. High heritability was observed for all the tested characters except fruit diameter. High heritability with high genetic advance was recorded for the characters fruit yield per plant, fruits per plant, plant height and days to 50% flowering indicating role of additive gene action in the expression of these traits. Fruits per plant, fruit length and fruit diameter were the major characters contributing to yield as these traits were significantly and positively associated with yield per plant. Maximum contribution of fruits per plant to yield was observed in path analysis, which was followed by average fruit weight, days to first flowering and fruit length through higher direct effect. So, for increasing fruit yield per plant a chili genotype should have higher number of fruits per plant, coupled with large fruit length, high fruit diameter and high average fruit weight.

Keywords: Genetic variability, Heritability, Genetic advance, Correlation association and Cause-effect analysis

Location: Research and development (R&D) center of Energypac Agro ltd., Monipur, Gazipur

Start Date: 00-00-2009

End Date: 00-00-2009

Program Area: Variety and Species

Commodity: Chilli

Objectives:

To find out genetic variability, association of characters and selection criteria for yield and yield components in chili.

Methodology:

The trial was conducted with twelve selected open pollinated chili genotypes collected from different parts of Bangladesh. Single seed descent (SSD) method was used for selecting of the test genotypes three consecutive generations. The trial was set in a randomized complete block design with three replications. Thirty days old seedlings grown in seedbed were transplanted in main plot. Plot size was 10 m long bed with 1 m wide. Spacing was 0.7 m between rows and 0.5 m between plants and two rows in each plot. The crop was raised following the agronomic practices recommended by BARI. Data on plant height, number of days to first flowering (DFF), days to 50% flowering (D50%F), fruits per plant (FP) and fruit yield per plant (FY) in g were collected from ten randomly selected plants from each plot. Again fruit characters viz., fruit length (FL) in cm, fruit diameter (FD) in cm and average fruit weight (AFW) in g were recorded from 10 randomly selected fruits at maturity stage from each plot. The analysis of variance was done using MSTAT-C software. The components of variance including error variance (s²_e) genotypic variance (s²_g) and phenotypic variance (s²_p) were estimated following the formula given below-

s²_e = M_e

s²_g= (M_g-M_e)/r

s²_p = s²_g+ s²_e

Heritability (h²) was determined based on formula (s²_g/s²_p₎. The coefficient of genotypic and phenotypic variation was estimated.

Source of Information: International Journal of Bio-research, 10 (6):19-24, June, 2011

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Higher genotypic and phenotypic coefficients of variation were observed for fruits per plant, fruit yield per plant, average fruit weight, fruit length and fruit diameter. Heritability and genetic advance were also higher for these characters indicating the possibility of improvement of these characters through selection. A significant positive correlation of economic traits like, fruits per plant, fruit length and fruit diameter with yield also indicated the importance of these characters for yield improvement of chili. Maximum contribution of fruits per plant to yield was also observed in path analysis, which was followed by average fruit weight, days to first flowering and fruit length through higher direct effect.

Knowledge Management: Journal