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Agricultural Science Digest, volume 22 issue 1 (march 2002) : 57 - 58

MULTIVARIATE TECHNIQUE IN CHICKPEA

A.S. Jeena, P.P. Arora

Affiliations

¹Department of Genetics and Breeding, G B Pant University of Agriculture and Technology, Pantnagar - 263 145, India

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Cite article:- Jeena A.S., Arora P.P. (2024). MULTIVARIATE TECHNIQUE IN CHICKPEA. Agricultural Science Digest. 22(1): 57 - 58. doi: .

ABSTRACT

Mohalanobis D 2 statistic was utilized to reveal the genetic diversity among the 36 chickpea genotypes. In group constellation seven clusters were formed. It was observed that there is no relation between geographical and genetic distances. All the clusters found to be heterogeneous except single genotype clusters. Genotypes ICC 1452 and ICCL 85319 were placed under maximum distant groups and it is suggested that these parents can be used in hybridization to obtained transgressive segregants.

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REFERENCES

Kumar, L. and Arora. P.P. (1992). Multivariate analysis in chickpea, Indian J. Pulses Res. 5: 1-5.
Mahalanabis, P.c. (1928). A statistical study of Chinese head measurement. Journal of statistic society Bengal 25: 301-377.
Murty, B.R. and Arunachalam, V. (1966). The native of genetic divergence in relation to breeding system in crop plants. Indian J. Genet. 26: 188-189.
Rao, CR ~1952). Advanced Statistical Methods in Biometrical Research, John Wiley and sons Inc. New York.

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