Toll Free Helpline (India): 1800 1234 070

Rest of World: +91-9810852116

Free Publication Certificate

Vol. 12, Issue 6 (2023)

Assessment of genetic diversity in tomato (Solanum lycopersicon L.) genotypes using cluster and principal component analysis

Author(s):
Bhavesh Verma, Dhananjay Sharma and Jhanendra Kumar Patel
Abstract:
Selection of diverse and superior parents is the most important task to be performed before quality improvement program. Tomato is one of the most important vegetable crops, which provides several important dietary components and high nutritional value. The present investigation aimed to assess genetic diversity using cluster and principal component analysis. For this purpose, fifteen tomato genotypes were evaluated in the field of AICRP on vegetable crops, Horticultural Research cum Instructional Farm, Department of Vegetable Sciences, Indira Gandhi Krishi Vishwavidyalaya, Raipur during 2019-20 in randomized complete block design with three-replication. There is considerable diversity among genotypes for morphological and quality traits. In cluster analysis, the genotypes were a grouped into five distinct clusters. The highest number of genotypes appeared in cluster V which possessed 5 genotypes and the lowest genotype was found in cluster II and IV comprised of only one genotype; 2019/TODVAR-8 and 2019/TODVAR-9. The maximum intra-cluster distance was obtained for cluster I followed by cluster III. The minimum intra-cluster D2 values were observed by cluster II, IV, V, and the highest inter cluster D2 values were observed between cluster III and IV followed by cluster I and IV, and cluster I and II and the lowest inter-cluster D2 value was found between cluster I and III followed by cluster III and V. PCA showed the contribution of each character to the classification of the tomato genotypes. The first five principal components explained about 84.50% of the total variation among the fifteen characters. On the basis of PC score it is cleared that 2019/TODVAR-9 is the best genotype for both quality and yield traits followed by 2019/TODVAR-8.
Pages: 5014-5019  |  392 Views  216 Downloads


The Pharma Innovation Journal
How to cite this article:
Bhavesh Verma, Dhananjay Sharma, Jhanendra Kumar Patel. Assessment of genetic diversity in tomato (Solanum lycopersicon L.) genotypes using cluster and principal component analysis. Pharma Innovation 2023;12(6):5014-5019.

Call for book chapter