Full text in pdf format
A methodology of genetic divergence analysis based on sample unit projection on two-dimensional space
Cosme Damião Cruz; José Marcelo Soriano Viana
Departamento de Biologia Geral, Universidade Federal de Viçosa, 36570-000 Viçosa, MG, Brasil. Send correspondence to C.D.C.
ABSTRACT
A methodology for the assessment of the dissimilarity among sample units (varieties, lines, etc.) in dispersion graph was presented. The coordinate of each unit was calculated from a dissimilarity matrix, adopting the criteria of minimizing the differences between the original distances calculated in the p-dimensional space (p > 2) and the two dimensional space distances. A comparison was made between the proposed methodology, canonic variables and principal components techniques. It was slightly superior in expressing genetic dissimilarity among cultivars.
Keywords: genetic divergence; sample unit projection; two-dimensional space.
REFERENCES
Kruskal, J.B. (1964). Multidimensional scaling by optimizing goodness of fit to a non-metric hypothesis. Psychometrika 29: 1-127.
Rao, R.C. (1952). Advanced Statistical Methods in Biometric Research. John Wiley and Sons, New York, pp. 390.
Singh, R.K. and Chaudhary, B.D. (1979). Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, Ludhiana, pp. 304.
Singh, R.B. and Gupta, M.P. (1968). Multivariate analysis of divergence in upland cotton. Indian J. Genet. Plant Breed. 28: 151-157.