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JACR - Abstract
Cluster analysis studies in rice (Oryza sativa L.) using wards minimum variance method.
K.L.Y. Tejaswini, Srinivas Manukonda, P. V. Ramana Rao*, B.N.V.S.R. Ravi Kumar, Lal Ahamed Mohammad and S. Krishnam Raju
Research Article | Published December 2016
Journal of Agricultural and Crop Research, Vol. 4(9), pp.
129-139
APRRI & RARS, Maruteru, West Godavari District, Andhra Pradesh, India.
*Corresponding author. E-mail: PRamana@agcenter.lsu.edu.
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The nature and magnitude of genetic divergence was estimated in one hundred and fourteen F5 families of rice obtained from six different crosses along with their seven parents using ward’s minimum divergence method by considering 10 characters. Results revealed existence of considerable amount of diversity in the material. The genotypes were grouped into twelve clusters. Cluster V constituted maximum number of genotypes (27). The genotypes falling in cluster XII had the maximum divergence (123.339), which was closely followed by cluster IX (112.928). The maximum inter cluster Euclidean2 values was observed between cluster II and XII (1882.852) followed by cluster IX and XII (1488.520) suggesting that the genotypes constituted in these clusters may be used as parents for future hybridization programme.
Keywords: Genetic divergence, cluster analysis, wards method.
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Citation: Tejaswini KLY, Manukonda S, Rao PVR, Kumar BNVSRR, Mohammad LA, Raju SK (2016). Cluster analysis studies in rice (Oryza sativa L.) using wards minimum variance method. J. Agric. Crop Res. 4(9): 129-139.
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