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Genetic Variability, Heritability and Genetic Advance for Yield Related Characters of Tossa Jute (corchorus Olitorius) Genotypes

Sanjoy Kumar Biswas
Jute Agriculture Experimental Station, Bangladesh Jute Research Institute, Manikganj, Bangladesh

Syed Nazrul Islam
Jute Agriculture Experimental Station, Bangladesh Jute Research Institute, Manikganj, Bangladesh

Md. Delwar Hossain Sarker
Jute Agriculture Experimental Station, Bangladesh Jute Research Institute, Manikganj, Bangladesh

Md. Moniruzzaman
Jute Agriculture Experimental Station, Bangladesh Jute Research Institute, Manikganj, Bangladesh

Md. Zablul Tareq
Jute Agriculture Experimental Station, Bangladesh Jute Research Institute, Manikganj, Bangladesh

Abstract/ Executive Summary:

The genetic parameters of variability were studied for seven yield related characters in forty-seven genotypes of tossa jute. The experiment was laid out in a Randomized Complete Block Design (RCBD) with three replications. Highly significant genotypic differences were reported for all the characters. The maximum co-efficient of range were reported for green weight (g)/plant and stick weight (g)/plant followed by fibre weight (g)/plant, green bark thickness (mm) and core diameter (mm). The phenotypic and genotypic variances were the highest in green weight (g)/plant. The high PCV and GCV values recorded in stick weight (g)/plant. The maximum estimates of broad-sense heritability were recorded in stick weight (g)/plant followed by fibre weight (g)/plant, green weight (g)/plant and plant height (m). The result from this study leads to the conclusion that green weight (g)/plant, fibre weight (g)/plant and stick weight (g)/plant should be considered during selections for yield in C. olitorius.

Keywords: Tossa jute, Corchorus olitorius, Variability and Genotype

Location: Jute Agriculture Experimental Station, Jagirs, Manikganj of Bangladesh Jute Research Institute

Start Date: 00-04-2016

End Date: 00-09-2016

Program Area: Variety and Species

Commodity: Jute

Objectives:

The present study was aimed at evaluation of genotypes of C. olitorius and determination of the genetic variability, heritability and genetic advance of the characters for their use in a varietal improvement programme.

Methodology:

The experimental material comprised of 47 genotypes of Tossa Jute (Corchorus olitorius) collected from Gene Bank Department of Bangladesh Jute Research Institute (BJRI). The test genotypes are listed in table 01. The experiment was conducted at the Jute Agriculture Experimental Station, Jagirs, Manikganj of Bangladesh Jute Research Institute during the period from April 2016 to September 2016. The experiment was laid out in the Randomized Complete Block Design (RCBD) with three replications. Seeds were sown in single row of 3m long with spacing of 30 cm, 60 cm and 5-7 cm between rows, replications and plants, respectively. Standard production technology from Hand Book on Agricultural Technologies of Jute, Kenaf and Mesta crops (2008) was adopted to raise a good crop under optimum management. The seeds were sown on 10 April, 2016. Intercultural operations were done at proper time for ensuring proper growth of the crop. The data were recorded from 10 randomly selected plants of each accession from each replication for yield traits viz.,plant height (m), base diameter (mm), core diameter (mm),green bark thickness (mm),green weight (g)/plant, fibre weight (g)/plant and stick weight (g)/plant .

Statistical Analyses: Analysis of variance was done based on RCBD as suggested by Panse and Sukhatme (1985)for each of the characters separately. Coefficient of range was calculated using following formula: Coefficient of range = (H –L)/ (H +L)...............(1) Where, H is the highest value in a set of observation and L is the lowest value in a set of observation. The yield and yield component were used to determining the genotypic and phenotypic variances according to Prasad et al. (1981)as follows:Genotypic variance (δ2g) = (MSG –MSE)/r ..............(2) Phenotypic variance (δ2ph) = MSG/r ................(3)Error variance (δ2e) = MSE/r .....................(4) Where, MSG = Genotypic mean squares MSE =Mean squares error r = Number of replications. The variance component was used to computing the Genotypic coefficient of variability (GCV), phenotypic coefficient of variability (PCV), estimates of broad-sense heritability and genetic advance (GA) according to Burton (1952);Johnson et al. (1955)and Kumar et al. (1985) as follows:Genotypic Coefficient of Variability (GCV) = 100 X (δg/x)..................(5)Phenotypic Coefficient of Variability (PCV) = 100 X (δph/x)..........(6) Where, δg and δph are the genotypic and phenotypic standard deviations, respectively and X is the grand mean for the trait under consideration.Heritability (Broad-sense) =δ2g/(δ2g + δ2e)............(7) Where, δ2g is the estimate of genotypic variance, δ2e is the estimate of environmental variance.Genetic advance = heritability X k Xδph........... (8) Where, K and δph are the selection differential and phenotypic standard deviations, respectively.

Source of Information: J. Biosci. Agric. Res. 17(01): 1416-1421

Article Link (Online Journal): https://doi.org/10.18801/jbar.170118.175

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The study leads to the conclusion that there is significant genetic variability among the accessions studied. It further concludes that characters such as Green weight (g)/plant, Fibre weight (g)/plant and Stick weight (g)/plant combining high GCV, heritability and GA, should considered during selections for yield in C. olitorius.

Knowledge Management: Journal