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Performance of Brinjal (Solanum melongena) Genotypes through Genetic Variability Analysis

Nur Shahi Begum Nishi, Bir Jahangir Shirazy, Md. Mostofa Mahbub

Abstract


The physiomorphological divergence was assessed in fifteen brinjal genotypes by using cluster mean analysis and mean difference to identify parental genotypes for future breeding program in order to develop new high yielding varieties in randomized complete block design with three replications. Plant height, days to first flowering, number of branch and number of fruits per plant have the highest percent of variations among the traits. The genotypes under the experiment were grouped into five clusters. The highest inter cluster distance was found between cluster III and IV followed by IV and V. According to relative contributions of the nine characters length of fruit and yield per plant have the prominent influence towards varietal improvement. Selecting genotypes from distant clusters probably provide promising recombinants and better segregants for future breeding platform.


Keywords


Cluster; clusters mean; genotype; genetic variation

References


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Shirazy BJ, Islam MM, Haque MA, Mahbub MM and Somee TA. Influence of Combined Effect of Nitrogen and Micronutrients on Yield and Yield Contributing Characters of Sesame (Sesamum indicum L.). Botany Research International. 2015, 8(4):73-76

Hossain MM, Mahbub MM, and Shirazy BJ. Growth and Yield Performance of Mungbean Varieties in Summer Cultivation. Scientia Agriculturae. 2016, 16(3):79-82

Shirazy BJ, Rashid MH, Mahbub MM, Somee TA and Goswami PC. Farmers' Participatory Demonstration of Salt Tolerant T. Aman Rice Varieties in Saline Soils. Academic Journal of Plant Sciences. 2016, 9(1):01-04

Mahbub MM, Rahman MM, Hossain MS, Nahar L, and Shirazy BJ. Morphophysiological Variation in Soybean (Glycine max (L.) Merrill). American-Eurasian Journal of Agricultural & Environmental Sciences. 2016, 16(2):234-238

Khan MRA, Mahbub MM, Reza MA, Shirazy BJ, Mahmud F. Selection of Field Pea (Pisum sativum L.) Genotypes through Multivariate Ana7,8]lysis. Scientia Agriculturae. 2016, 16(3):98-103

Mili KN, Shirazy BJ, and Mahbub MM. Screening of Soybean (Glycine max L.) Genotypes through Multivariate Analysis. Azarian Journal of Agriculture. 2017 , 4(1):1-6

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Khan MRA, Mahmud F, Reza MA, Mahbub MM, Shirazy BJ, Rahman MM. Genetic Diversity, Correlation and Path Analysis for Yield and Yield Components of Pea (Pisum sativum L.). World Journal of Agricultural Sciences. 2017, 13(1):11-16


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