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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 49 issue 5 (october 2015) : 476-478,   Doi: 10.18805/ijare.v49i5.5816

Assessment of genetic divergence in diverse maize (Zea mays L.) genotypes

R
Radheshyam Sharma
S
S.R. Maloo
A
Arunabh Joshi
S
Sharda Choudhary
1Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology, Udaipur-313001, Rajasthan, India .
Cite article:- Sharma Radheshyam, Maloo S.R., Joshi Arunabh, Choudhary Sharda (2025). Assessment of genetic divergence in diverse maize (Zea mays L.) genotypes. Indian Journal of Agricultural Research. 49(5): 476-478. doi: 10.18805/ijare.v49i5.5816.

ABSTRACT

Genetic divergence assessed in twenty diverse genotypes of maize (Zea mays L.) using D2 statistics for eleven characters enabled grouping of all the genotypes in five clusters. Test weight, leaf number, harvest index, days to 50 percent flowering and plant height were the major contributors for genetic diversity among the genotypes. Cluster II was the largest contained 6 genotypes followed by cluster III which possessed 5 genotypes. The cluster I, V and IV possessed 4, 3 and 2 genotypes, respectively. Each cluster has different types of genotypes irrespective to their nature of genetic make up belonging to hybrids, composites and land races. The cluster III exhibited maximum intra-cluster distance (30.92), while maximum inter-cluster distance was noted between cluster I and III (91.55).

REFERENCES


  1. Anonymous. (2013) Economic Survey. www.indianbudget.nic.in.

  2. Lodhi, B., Thakral, N. K., Singh, D., Ramavtar and Bahadur, R. (2013) Genetic diversity analysis in Indian mustard (Brassica juncea) Journal of Oilseed Brassica, 4: 57-60.

  3. Mahalanobis P. C. (1936). On the generalized distance in statistics. Proc. Nat. Inst. Sci. Ind 2:49-55

  4. Maloo, S. R. and Bhattacharjee, I. (1999) Gentic divergence in foxtail millet. Management of Arid Ecosystem, Eds. Faroda, A.S., Joshi, N.L., Kathju S. and Kar, A. Arid Zone Research Association of India, and Scientific Publishers, Jodhpur, India. Pp: 155-158.

  5. Rao, C. R. (1952) Advanced statistical methods in biometric research. John Wiley and Sons Inc., New York.

  6. Singh, R. K., and Chaudhury, R. D. (1985) Biometrical methods of quantitative genetic analysis. Haryana J Hortic Sci 12: 151-156.
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Indian Journal of Agricultural Research
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    Research Article

    volume 49 issue 5 (october 2015) : 476-478,   Doi: 10.18805/ijare.v49i5.5816

    Assessment of genetic divergence in diverse maize (Zea mays L.) genotypes

    R
    Radheshyam Sharma
    S
    S.R. Maloo
    A
    Arunabh Joshi
    S
    Sharda Choudhary
    1Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology, Udaipur-313001, Rajasthan, India .
    Cite article:- Sharma Radheshyam, Maloo S.R., Joshi Arunabh, Choudhary Sharda (2025). Assessment of genetic divergence in diverse maize (Zea mays L.) genotypes. Indian Journal of Agricultural Research. 49(5): 476-478. doi: 10.18805/ijare.v49i5.5816.

    ABSTRACT

    Genetic divergence assessed in twenty diverse genotypes of maize (Zea mays L.) using D2 statistics for eleven characters enabled grouping of all the genotypes in five clusters. Test weight, leaf number, harvest index, days to 50 percent flowering and plant height were the major contributors for genetic diversity among the genotypes. Cluster II was the largest contained 6 genotypes followed by cluster III which possessed 5 genotypes. The cluster I, V and IV possessed 4, 3 and 2 genotypes, respectively. Each cluster has different types of genotypes irrespective to their nature of genetic make up belonging to hybrids, composites and land races. The cluster III exhibited maximum intra-cluster distance (30.92), while maximum inter-cluster distance was noted between cluster I and III (91.55).

    REFERENCES


    1. Anonymous. (2013) Economic Survey. www.indianbudget.nic.in.

    2. Lodhi, B., Thakral, N. K., Singh, D., Ramavtar and Bahadur, R. (2013) Genetic diversity analysis in Indian mustard (Brassica juncea) Journal of Oilseed Brassica, 4: 57-60.

    3. Mahalanobis P. C. (1936). On the generalized distance in statistics. Proc. Nat. Inst. Sci. Ind 2:49-55

    4. Maloo, S. R. and Bhattacharjee, I. (1999) Gentic divergence in foxtail millet. Management of Arid Ecosystem, Eds. Faroda, A.S., Joshi, N.L., Kathju S. and Kar, A. Arid Zone Research Association of India, and Scientific Publishers, Jodhpur, India. Pp: 155-158.

    5. Rao, C. R. (1952) Advanced statistical methods in biometric research. John Wiley and Sons Inc., New York.

    6. Singh, R. K., and Chaudhury, R. D. (1985) Biometrical methods of quantitative genetic analysis. Haryana J Hortic Sci 12: 151-156.
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