Green Farming
Bi-monthly Journal
UGC Approved Jr.No. : 45500
ISSN 0974-0775
International Journal of Applied Agricultural & Horticultural Sciences
  • 17 December, 2017
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Innovative Eco-Safe Agri-Horticulture Technology for Greener Environment, Global Energy & Food Security.
Vol. 8 (5) : September-October 2017 issue
Green Farming Vol. 8 (5) : 1052-1055 ; September-October, 2017
Genetic divergence studies in farmers’ varieties of rice (Oryza sativaL.)
aDepartment of Genetics and Plant Breeding, bDirectorate of Research, Prof. Jayshankar Telangana State Agricultural University, Rajendranagar, Hyderabad - 500 030 (Telangana),
cDirectorate of Rice Research, Rajendranagar, Hyderabad - 500 030 (Telangana),
Designation :  
1P.G. Student *(, 2,3Principal Scientist
Subject : Crop genetics & Plant breeding
Paper No. : P-5497
Total Pages : 4
Received : 13 July 2016
Revised accepted : 09 September 2017
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Citation :

K. SWAPNA, FARZANA JABEEN and L.V. SUBBA RAO. 2017. Genetic divergence studies in farmers’ varieties of rice (Oryza sativa L.). Green Farming Vol. 8 (5) : 1052-1055 ; September-October, 2017

An investigation was carried out with the seventy five farmers' varieties of rice to study the nature and magnitude of genetic divergence using D2 and principal component analysis for eleven characters during rabi, 2013. The varieties under study were grouped into eleven clusters. The cluster I was the largest with 64 varieties followed by cluster IV with two varieties. Remaining clusters were solitary. The clustering pattern of varieties indicated that geographical distribution and genetic diversity were not related to each other. The inter cluster distances were higher than the average intra cluster distances indicating wider genetic diversity among the varieties of different groups. Maximum inter cluster distance was observed between cluster IX and cluster X (1101.06) followed by cluster II and cluster XI (996.88) showing wide diversity among the groups. Based on the cluster means, the important clusters are cluster III for grain yield per plant and decorticated grain width, cluster IV for total number of tillers per plant and number of productive tillers per plant, cluster V for 1000-grain weight and cluster VIII for number of filled grains per panicle. Decorticated grain length, time of heading, decorticated grain width, L/B ratio, grain yield per plant and number of productive tillers per plant have contributed maximum towards divergence among the varieties. Divergence through pricipal component analysis in the present study accounted 91.17 % of the total variance by the first five vectors.
Key words :
D2 statistics, Genetic divergence, Principal component analysis, Rice varieties.