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Multivariate analysis and the choice of parents for hybridization in Okra (Abelmoschus esculentus (L.) Moench)

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Summary

Thirty okra genotypes of diverse eco-geographical origin were grown in single-row plots in a randomised complete block design. The data collected on 14 characters were subjected to analysis of variance. By multivariate analysis (Mahalanobis D2 technique), the genetic divergence among the genotypes were quantitatively measured. The genotypes were grouped into five clusters by this technique. There was no relationship between clustering pattern and eco-geographic distribution. The effects of genetic divergence on the choice of parental stock in hybridization was discussed.

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References

  • Bhatt GM (1970) Multivariate analysis approach to selection of parents for hybridization aiming at yield improvement on self-pollinated crops. Aust J Agric Res 21:1–7

    Google Scholar 

  • Chheda HR, Fatokun CA (1982) Numerical analysis of variation patterns in okra (Abelmoschus esculentus (L.) Moench). Bot Gaz Chicago 143:253–261

    Google Scholar 

  • Dasgupta T, Das PK (1984) Multivariate analysis and selection of parents for hybridization in black gram. Philipp Agric 67:86–92

    Google Scholar 

  • Duddley JW, Davies RL (1966) Preliminary groupings of plant introductions of alfalfa (Medicago saliva L.) heterosis studies. Crop Sci 6:597–601

    Google Scholar 

  • Katiyar PR, Singh SP (1979) Genetic divergence in chick pea. Indian J Genet 39:354–358

    Google Scholar 

  • Malhotra RS, Singh KB (1971) Multivariate analysis in black gram (Phaseolus mungo Roxb). Indian J Agric Sci 41:757–760

    Google Scholar 

  • Mahalanobis PC (1936) On the generalised distance in statistics. Proc Inst Sci India 2:49–55

    Google Scholar 

  • Rao CR (1952) Advanced Statistical methods in biometric research. Wiley and Sons, New York

    Google Scholar 

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Communicated by G. S. Khush

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Ariyo, O.J. Multivariate analysis and the choice of parents for hybridization in Okra (Abelmoschus esculentus (L.) Moench). Theoret. Appl. Genetics 74, 361–363 (1987). https://doi.org/10.1007/BF00274718

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  • DOI: https://doi.org/10.1007/BF00274718

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