Abstract

This study aimed to obtain information about the characteristics of 15 genotypes and to study a genetic similarity of each genotype that will be used for producing superior tomato varieties in lowlands. The research was conducted from March to August 2012 at the Experimental Field Leuwikopo Bogor Agricultural University, Darmaga Bogor. The experiment used The Randomized Complete Block Design (RCBD) using a single factor of genotype with three replications. Characterization and similarity analysis used the method of principal component analysis and cluster analysis. Based on principal component analysis and cluster analysis of tomato genotypes, it can be classified into three groups: group I (IPBT1, IPBT4, IPBT8, IPBT13, IPBT58, IPBT83 and IPBT84), Group II (IPBT3, IPBT23, IPBT30, IPBT33, IPBT34, IPBT53 and IPBT57) and group III (IPBT80). Characters with an influence on the genetic diversity of each component are the size of the cork layer between the scar stalk and the size of the center of the fruit in transverse slices. The genotypes with a high genetic similarity were IPBT1 and IPBT8, while IPBT30 with IPBT80 had a low genetic similarity

Highlights

  • Analysis of genetic similarity is conducted using the principal component analysis (PCA) and cluster analysis

  • Genotypes belonging to a group or cluster indicate a close similarity or close genetic relationship, whereas intergroup genotypes indicate a distant similarity or distant genetic relationship

  • The analysis of the principal component and cluster is often used for various plants such as tomatoes (Albrecht et al, 2010, Aguire and Cabrera 2012) and chili (Yunianti et al, 2010)

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Summary

Introduction

Analysis of genetic similarity is conducted using the principal component analysis (PCA) and cluster analysis. The pattern of clustering and diversity between genotypes was obtained based on qualitative and quantitative character data analyzed using Principal Component Analysis and Cluster Analysis using the software of SPSS version 20. The calculation of the amount of the principal components formed based on the valid Eigenvalue which is more than one whereas the value less than one might be ignored (Simamora 2005; Yunianti et al, 2007; Maxisella et al, 2008; Bhartaya et al, 2011).

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