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) : 1039-1043 ; September-October, 2017
Study of genetic diversity in landraces of rice (Oryza sativaL.)
aDepartment of Genetics and Plant Breeding, bDepartment of Statistics and Mathematics, College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad - 500 030 (Telangana)
cDeptt. of Genetics & Plant Breeding, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad (Telangana)
Designation :  
1P.G. Student *(, 2,3,6Principal Scientist,
4Associate Professor, 5Senior Research Fellow
Subject : Crop genetics & Plant breeding
Paper No. : P-6864
Total Pages : 5
Received : 28 July 2017
Revised accepted : 13 September 2017
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Citation :

C. RADHIKA RANI, L.V. SUBBA RAO, M. SREEDHAR, M.H.V. BHAVE, M. CHIRANJEEVI and K. KANAKA DURGA. 2017. Study of genetic diversity in landraces of rice (Oryza sativa L.). Green Farming Vol. 8 (5) : 1039-1043 ; September-October, 2017

In India seventy six landraces of rice were characterized based on quantitative descriptors along with grain characters to study genetic diversity employing D2 analysis. These descriptors are highly heritable, unambiguous and easily identifiable. Based on D2 analysis the genotypes were grouped into six clusters. Dendrogram showed that out of six clusters, cluster I was the largest comprising of 49 landraces, followed by cluster III with 14, cluster II with 7 and cluster IV with 4 and remaining two clusters V and VI, were monogenotypic clusters. Maximum intra cluster distance was observed in cluster II, followed by cluster III, cluster I and cluster IV, indicating that some genetic divergence still existed among the genotypes within each of these clusters. Maximum inter cluster distance was exhibited between clusters II and VI followed by clusters I and VI, clusters V and VI and clusters II and IV. The greater the distance between two clusters, the wider the genetic diversity among the genotypes of those clusters. Such highly divergent, high performing genotypes could be used as parents for future recombination breeding programme in order to get high heterotic recombinants. Out of the seventeen characters studied, six characters namely stem length, grain zinc concentration, gel consistency, amylose content, spikelet fertility and grain iron concentration together contributed maximum (97.33 %) to the total genetic divergence which should be given importance in further breeding programmes.
Key words :
D2 analysis, Dendrogram, Genetic divergence, Grain quality characters, Quantitative traits, Rice landraces.