Indian Journal of Agricultural Research

  • Chief EditorV. Geethalakshmi

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Indian Journal of Agricultural Research, volume 42 issue 2 (june 2008) : 120 -123

GENETIC DIVERGENCE STUDIES IN FINGER MILLET {ELEUSINE CORACANA (L.) GAERTN}

P. Anantharaju, , N. Meenakshiganesan
1Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore - 641 003, India
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Cite article:- Anantharaju P., Meenakshiganesan N. (2024). GENETIC DIVERGENCE STUDIES IN FINGER MILLET {ELEUSINE CORACANA (L.) GAERTN}. Indian Journal of Agricultural Research. 42(2): 120 -123. doi: .
Fifty genotypes of finger millet were studied for genetic divergence using D2 analysis for ten
quantitative traits. These genotypes were grouped into fourteen clusters. Out of which, Cluster I had
seventeen genotypes, cluster III ten genotypes, cluster V six genotypes, cluster VI seven genotypes,
cluster II, cluster IV and clusters VII to XIV consisted of one genotype each. Considering the inter
cluster distances, it was the highest between cluster XI and XIII followed by the inter cluster distance
of V and XI and XIII and XIV. Cluster XIV (genotype MS 3221) had the highest mean for grain yield
and productive tiller number. For number of fingers, cluster IV (genotype TNAU, 972) and cluster XIII
(genotype Indaf 11), for finger length cluster X (PR 202) and for thousand grain weight cluster XI (AF
260) were the superior clusters for the respective characters, the genotypes of which can be effectively
used in breeding programmes. Among the characters, days to 50% flowering followed by number of
leaves contributed more towards the total divergence.
    1. Das, S.R. and Borthakur, D.N. (1973). Indian J. Genet., 33: 436-443.
    2. Endang, S. et al. (1971). Intl. Rice Comm. Newslr., 20: 26-34.
    3. Hanumanaram, Y. et al. (1997). In: Proc. of National Seminar on small millets (ICAR), (Seetharam, A. et al., eds.). April 23-24, Coimbatore, India, pp. 46.
    4. Jaylal and Haider, Z.A. (1994). Indian J. Agric. Sci., 64: 715-716.
    5. Mahalanobis, P.C. (1936). Proc. Natl. Inst. Sci. India, 2: 49-55.
    6. Murty, B.R. et al. (1965). Indian J. Genet., 25: 271-278.
    7. Rao, C.R. (1952). Advanced Statistical Methods in Biometrical Research. John Wiley and Sons Inc., New York,pp. 390.
    8. Reddy, K.R. et al. (1993). Ann. Agric. Res., 14: 411-415.
    9. Sheriff, R.A. (1992). J. Genet. Pl. Breed., 52: 72-74.

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