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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Tuesday 22 May 2018

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  Call for Papers - May 2018     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Assessment of genetic diversity through D2 analysis in tomato (Solanum lycopersicon .L)


Volume 6, Issue 3, July 2014, Pages 431–438

 Assessment of genetic diversity through D2 analysis in tomato (Solanum lycopersicon .L)

Manoj Kumar Nalla1, M.K. Rana2, Senjam Jinus Singh3, Anjan Kumar Sinha4, P.Karthik Reddy5, and Priyadarshani P. Mohapatra6

1 Department of Vegetable Science, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004, Haryana, India
2 Department of Vegetable Science, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004, Haryana, India
3 Department of Vegetable Science, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004, Haryana, India
4 Department of Botany, Bankura Sammilani College, Bankura -722 133 (West Bengal), India
5 Department of Vegetable Science, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004, Haryana, India
6 Department of Vegetable Science, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004, Haryana, India

Original language: English

Received 28 May 2014

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The present experiment was conducted during spring-summer 2013 to study genetic variability, correlation, path coefficient analysis, and genetic diversity for quantitative and qualitative traits in tomato in vegetable research farm Hisar. Using Mahalanobis D2 statistics method, the 27 genotypes were grouped into nine clusters, indicating the presence of diversity for different traits. The cluster I had the highest number containing 16 genotypes followed by cluster III and VII containing three and two genotypes respectively. However, the cluster II, IV, V, VI, VIII and IX were solitary. The maximum intra-cluster distance was recorded within cluster III (10.88) and the maximum inter-cluster distance between cluster VI and VII (20.80), indicating the existence of wide genetic variability. Based on mean performances, the cluster VIII with single genotype ranked first and appeared to contain the potential genotype.The cluster VIII and II registered high plant height. The genotypes included in clusters V and VIII took less number of days to 50% flowering (29.67). The cluster III registered high fruit yield per plant (1004.60), average fruit weight (38.07), and ascorbic acid (28.7) can be utilised in breeding programme for enhancing their respective characters. The cluster IX had high number of fruits per plant (40.53). Based on cluster mean analysis these genotypes can be used in crop improvement programme in tomato for above-mentioned characters.

Author Keywords: Genetic diversity, Tomato, Solanum lycopersicon .L.


How to Cite this Article


Manoj Kumar Nalla, M.K. Rana, Senjam Jinus Singh, Anjan Kumar Sinha, P.Karthik Reddy, and Priyadarshani P. Mohapatra, “Assessment of genetic diversity through D2 analysis in tomato (Solanum lycopersicon .L),” International Journal of Innovation and Applied Studies, vol. 6, no. 3, pp. 431–438, July 2014.