Vol. 8 (2) : March-April 2017 issue
Green Farming Vol. 8 (2) : 296-300 ; March-April, 2017
Estimation of genetic divergence for yield and quality traits in cucumber (Cucumis sativus L.)
SAHEB PALab1*, HEM RAJ SHARMAa2, AMARJEET KUMAR RAIb3, RAMESH KUMAR BHARDWAJa4 and ARINDAM DASb5
aDepartment of Vegetable Science, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan - 173 230 (Himachal Pradesh)
bDivision of Vegetable Crops, ICAR- Indian Institute of Horticultural Research, Hessaraghatta, Bengaluru - 560 089 (Karnataka)
Designation : 1,3,5Ph.D. Scholar *(saheb.horti@gmail.com), 2,4Principal Scientist
Subject : Vegetable Sciences
Paper No. : P-5830
Total Pages : 5
Received : 08 September 2016
Revised accepted : 01 February 2017
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Citation :
SAHEB PAL, HEM RAJ SHARMA, AMARJEET KUMAR RAI, RAMESH KUMAR BHARDWAJ and ARINDAM DAS. 2017. Estimation of genetic divergence for yield and quality traits in cucumber (Cucumis sativus L.). Green Farming Vol. 8 (2) : 296-300 ; March-April, 2017
ABSTRACT
Genetic divergence analysis, using Mahalanobis D2 statistics, was carried out in thirty indigenous cucumber genotypes for twenty four characters. All the character under study showed considerable divergence and the genotypes were grouped into five clusters. The clustering pattern had no parallelism between genetic diversity and geographical distribution, suggesting that the selection of parental genotypes for hybridization will be more appropriate based on genetic diversity. Cluster III contained the maximum (15) number of genotypes, whereas cluster I contained minimum (2) genotypes. The genetic stocks within a cluster had smaller D2 values among themselves than those belonging to different clusters. Intra-cluster distance was maximum (3.123) in cluster II whereas, it was minimum (1.475) in cluster I. Maximum average inter-cluster distance (10.755) was recorded between cluster II and cluster V, suggesting the greater chances of getting superior hybrids in F1 or transgressive segregants in subsequent generations. Genotypes in cluster I was superior in seed germination and had minimum seed cavity length and breadth and PDI. Cluster IV had superiority in terms of average fruit weight, fruit length and seed cavity length. Cluster V recorded highest mean value for most of the characters. Considering the diversity pattern and mean performances, the genotypes LC-20 and LC-21 form cluster I, LC-7 from cluster III, LC-28 from cluster IV and LC-2, LC-9, LC-10 and LC-16 from cluster V would be best choice as parents for future hybridization programs.
Key words :
Cucumber, D2 statistics, Divergence, Intra and Inter cluster, Yield & quality traits.