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Multivariate and Genetic Component Analysis of Replicated Progeny Rows of Cotton

Dr. Md. Kamrul Islam
Senior Scientific Officer
Cotton Research, Training and Seed Multiplication Farm,Sreepur, Gazipur,Bangladesh

Md. Akhteruzzaman
Additional Director (Research and Planning)
Cotton Development Board, Khamarbari, Farmgate,Dhaka.

Dr. Md. Farid Uddin
Additional Director (Extension)
Cotton Development Board, Khamarbari, Farmgate,Dhaka.

Abstract/ Executive Summary:

Five cotton genotypes viz. SR- 015, SR-016, SR-017, SR-018 and SR-019 and one standard cotton variety i.e. CB-12 were studied for correlation coefficients, regression and path analysis, genetic and environmental variability, broad sense heritability, seed cotton yield and yield contributing traits at Cotton Research, Training and Seed Multiplication Farm, Sreepur , Gazipur during Kharif 2012-13 growing period. Significant differences were observed for number of vegetative branch, number of fruiting branch, boll number, single boll weight and seed cotton yield. It is evident from this study that the studied genotypes varied widely in seed cotton yield and yield contributing characters. The comparison of the results of correlation, path analysis and stepwise regression analysis revealed that the boll number per plant and boll weight are the two most important traits to be considered in selection method that made the greatest contribution towards the cotton seed yield.

Keywords: Cotton, replicated progeny row, multivariate analysis, correlation, regression analysis, path analysis, genetic component analysis,

Location: Sreepur, Gazipur

Start Date: 2012

End Date: 2013

Program Area: Variety and Species

Commodity: Cotton

Objectives:

The objectives of this study were to interpret the multivariate analysis, estimate the genotypic and phenotypic variance components and heritability for seed cotton yield and yield contributing traits of newly developed cotton progeny rows.

Methodology:

The field experiment was conducted with the five cotton (Gossypium hirsutum L.) genotypes along with a check CB-12 during kharif 2012-2013 at Cotton Research, Training and Seed Multiplication Farm, Sreepur, Gazipur in a randomized block design with three replications. The progeny rows were SR-015, SR-016, SR-017, SR-018 and SR-019 that had been obtained by visual selection from different experimental and seed multiplication plots at Sreepur Farm and were multiplied by progeny to row method. Each genotype was sown in five rows of 5m length with spacing of 90 cm x 60 cm. Recommended package of practices and plant protection measures were adapted to raise a good crop. Observations were recorded on ten randomly selected plants in each plot of every replication for agronomic viz., plant height (cm), number of fruiting branch per plant, number of boll per plant. Single boll weight (g) was obtained from 10 randomly selected boll and the seed cotton yield was recorded from the three middle lines.

Source of Information: Annual Research Report, Cotton Development Board, Ministry of Agriculture, Bangladesh. 2013

Article Link (Online Journal):

Funding Source:

1. Government

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Positive correlations between seed cotton yield and number of vegetative branch, number of fruiting branch, number of boll and individual boll weight were found. The regression equation showed that the boll number per plant and the boll weight should be considered as target traits for improvement of cotton seed yield. Path analysis revealed that the highest direct and positive effect on seed cotton yield was exhibited by boll number per plant (1.25) followed by boll weight (0.81), and plant height (0.01) and the direct negative effect by number of fruiting branch (-0.05) and number of vegetative branch (-0.01). Genotypic covariance and phenotypic covariance were found to be the closest for fruiting branch (5.96 and 6.09) followed by boll number (5.97 and 6.29), number of vegetative branch (6.54 and 6.95), boll weight (3.95 and 4.21) and seed cotton yield (4.22 and 4.77) that consequently influenced the broad sense heritability in the range of 0.96 to 0.78. Successful selection can be made on these characteristics.

Knowledge Management: Report/Proceedings