Evaluation of Variations in Seed Vigour Characters of West African Rice (Oryza sativa L.) Genotypes Using Multivariate Technique


Seeds of 24 West African rice (Oryza sativa L.) genotypes were evaluated for seed vigour traits in the laboratory and field in two cropping seasons at the Research Farm of Federal University of Agriculture, Abeokuta, Nigeria. Seed yields of these genotypes were also determined in the field during the two seasons. Data collected on seed vigour traits were subjected to multivariate analysis including principal component analysis (PCA) and cluster analysis. The first three axes of the principal component analysis across the two seasons captured 86.34% of the total variation among the entries and identified seedling vigour index-I, seedling vigour index-II, speed of germination index, percentage germination, seedling establishment, emergence percentage and seed yield per plant as the characters contributing most to the variation. Cluster analysis classified these genotypes into four distinct groups based on germination and emergence percentages. Fifteen of the genotypes with mean values of between 60.43% and 65.18%, clustered in group 1, two genotypes each with mean values of 65.71% and 58.81% and 20.11% and 29.49% clustered in groups II and IV respectively while the remaining five genotypes with mean values of between 55.19% and 55.88% clustered in group III. Hybridization of genotypes across dusters could lead to increase in heterosis in cross progenies. Those characters identified by PCA could be included in the crop improvement programme for improved seed quality within West African low land rice germplasm.

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M. Adebisi, F. Okelola, M. Ajala, T. Kehinde, I. Daniel and O. Ajani, "Evaluation of Variations in Seed Vigour Characters of West African Rice (Oryza sativa L.) Genotypes Using Multivariate Technique," American Journal of Plant Sciences, Vol. 4 No. 2, 2013, pp. 356-363. doi: 10.4236/ajps.2013.42047.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] R. B. Cartel, “Factor Analysis: An Introduction to Essential I. The Purpose of Underlying Models,” Biometrics, Vol. 21, No. 1, 1965, pp. 190-235. doi:10.2307/2528364
[2] R. Bartual, E. A. Carbonell and D. E. Green, “Multivariate Analysis of a Collection of Soybean Cultivars for Southeastern Spain,” Eu-phytica, Vol. 34, No. 4, 1985, pp. 113-123. doi:10.1007/BF00022870
[3] O. J. Ariyo, “Measurement and Classification of Genetic Diversity in Okra (Abelmoschus escu-lentus),” Ann Appl. Biol, Vol. 116, No. 2, 1990, pp. 335-341. doi:10.1111/j.1744-7348.1990.tb06615.x
[4] O. J. Ariyo and A. Odulaja, “Numerical Analysis of Variation among Acces-sions of Okra (Abelmoschus esculentus (L.) Moench),” Annals of Botany, Vol. 67, 1991, pp. 527-531.
[5] O. J. Ariyo, “Genetic Diversity in West Africa Okra (Abelmoschus caillei L. Chev.) Stevels-Multivariate Analysis of Morphological and Agronomic Characteristics,” Genetic Resources and Crop Evolution, Vol. 40, No. 1, 1993, pp. 25-32. doi:10.1007/BF00053461
[6] F. Flores, J. C. Gutrerrez, J. Lopez, M. T. Moreno and J. I. Cubero, “Multivariate Analysis Approach to Evaluate a Germplasm Collection of Heydsarum coronarium L.,” Genetic Resources and Crop Evolution, Vol. 44, No. 6, 1997, pp. 545-555. doi:10.1023/A:1008682019883
[7] O. K. K. Mponda, S. Morse, D. Gibbon and A. E. Arthur, “Genetic Studies on Seedling Vigour in Sesame,” Annual of Applied Botany, Vol. 131, No. 1, 1997, pp. 161-170. doi:10.1111/j.1744-7348.1997.tb05403.x
[8] T. Cardi, “Mul-tivariate Analysis of Variation among Solanum commersomi (+) S. tuberosum Somatic Hybrids with Different Ploidy Levels,” Euphtica, Vol. 99, No. 1, 1998, pp. 35-41. doi:10.1023/A:1018361016968
[9] J. D. Berdahl, H. F. Mayland, K. H. Asay and P. G. Jefferson, “Variation in Agro-nomic and Morphological Traits among Russian Wildrye Ac-cessions,” Crop Science, Vol. 39, No. 6, 1999, pp. 1890-1895. doi:10.2135/cropsci1999.3961890x
[10] A. Nassir, “Studies on Genotype X Environment Interactions Variability and Plant Character Correlation in Rice,” Ph.D. Thesis, University of Agriculture, Abeokuta, 2002, 123 pages.
[11] M. A. Adebisi, “Variation, Stability and Correlation Studies in Seed Quality and Yield Components of Sesame (Sesamum indicum L.),” Unpublished Ph.D. Thesis, University of Agriculture, Abeo-kuta, 2004, 122 pages.
[12] M. A. Adekoya, M. A. Adebisi, A. M. Abdul-Rafiu and J. O. Amira, “Effect of Genotype and Seed Production Environment on Growth and Seed Yield Characters of Twenty Okra (Abelmoschus esculentus, L.),” Proceedings of the 34th Annual Conference of the Genetics Society of Nigeria (GSN), Ibadan, 19-24 September 2010, pp. 137-146.
[13] O. J. Ariyo, “Multivariate Analysis and Choice of Parents Hy-bridization in Okra (Abelmoschus esculentus L.),” Theoretical and Applied Genetics, Vol. 74, No. 3, 1987, pp. 361-363. doi:10.1007/BF00274718
[14] N. V. Nair, R. Balakrishan and T. V. Screenivasan, “Variability for Quantitative Traits in Exotic Hybrid Germplasm of Sugarcane,” Genetic Resources and Crop Evolution, Vol. 45, No. 5, 1998, pp. 459-464. doi:10.1023/A:1008696617524
[15] B. A. Ogunbodede, “Mul-tivariate Analysis of Genetic Diversity in Kenaf (Hibiscus cannabinus L.),” African Crop Science Journal, Vol. 5, No. 2, 1997, pp. 127-133.
[16] H. H. Hayman, “Modern Factor Analysis,” 2nd Edition, University of Chicago Press, Chicago, 1967.
[17] H. T. Clifford and W. Stephenson, “An Introduction to Numerical Classification,” Academy Press, London, New York, 1975, 229 pages.
[18] A. M. Rhodes and F. W. Martins, “Multivariate Studies of Variation in Yams (Dioscorea alata L.),” Journal of American Society of Agricultural Science, Vol. 97, 1972, pp. 685-688.
[19] M. O. Akoroda, “Principal Component Analysis and Metroglyph of Variation among Nigerian Yellow Yam,” Euphytica, Vol. 32, No. 2, 1983, pp. 565-573. doi:10.1007/BF00021469
[20] K. O. Omokhafe and J. E. Alika, “Multivariate of Agronomic Data on Hevea brasiliensis,” Pro-ceeding of SUSAN- IBS Meeting, Ibadan, 23-27 August 1999, pp. 168-173.
[21] J. Vadeveloo, “The Use of Multivariate Statistics to Evaluate the Response of Rice Straw Varieties to Chemical Treatment,” Australian Journal of Agricultural Science. (Ajas), Vol. 91, pp. 83-89.
[22] O. J. Ariyo, “Measurement and Classification of Genetic Diversity in Okra (Abelmoschus esculentus),” Annals of Applied Biology, Vol. 116, No. 2, 1999, pp. 335-341. doi:10.1111/j.1744-7348.1990.tb06615.x
[23] D. C. A. Akin-tobi, M. A. Adebisi and D. K. Ojo, “Multivariate Analysis of Phenetic Similarity of Cowpea Genotypes in Different Agro-Ecological Zones,” Nigerian Journal of Ecology, Vol. 4, No. 1, 2002, pp. 18-23.
[24] Patterson and Weatherup, “Sta-tistical Criteria for Distinctness between Varieties of Hebage Crops,” Journal of Agricultural Science, Vol. 102, 1994, pp. 59-68.
[25] J. E. Alika, “Principal Component Analysis and Metroglyph of Variation among Nigeria Yellow Yams,” Ey-phytica, Vol. 32, 1991, pp. 363-373.
[26] S. V. Lee, J. H. Lee and T. O. Kwon, “Varietal Differences in Seed Germination and Seedling Vigour of Korean Rice Varieties Following Dry Heat Treatment,” Seed Science and Technology, Vol. 30, 2001, pp. 311-321.
[27] ISTA, “International Rules for Seed Testing,” Seed Science and Technology, Vol. 13, 1985, pp. 307-513.
[28] AOSA, “Seed Vigour Testing Handbook. Con-tribution No. 32 to the Handbook on Seed Testing,” Association of Official Seed Analysis, 1983.
[29] R. P. S. Kharb, B. P. S. Lather and D. P. Deswal, “Prediction of Field Emergence through Heritability and Genetic Advance of Vigour Parame-ters,” Seed Science and Technology, Vol. 22, 1994, pp. 461-466.
[30] S. Ruan, Q. Xue and K. Tylkowska, “The In-fluence of Priming on Germination of Rice (Oryza sativa L.) Seeds and Seedling Emergence and Performance in Flooded Soil,” Journal of Seed Science and Technology, Vol. 30, 2002, pp. 61-67.
[31] P. E. S. mith and A. H. Millet, “Germinating and Sprouting Response of the Tomato at Low Temperatures,” Proceeding of the American Society for Horticultural Science, Vol. 84, 1964, pp. 482-484.
[32] J. J. Mock and J. A. Eberhart, “Cold Tolerance of Adapted Maize Populations,” Crop Science, Vol. 16, No. 2, 1972, pp. 230-469. doi:10.2135/cropsci1976.0011183X001600020016x
[33] M. Dadlani and D. V. Seshu, “Effects of Wet and Dry Heat Treat-ment on Rice Seed Germination and Seedling Vigour,” Interna-tional Rice Research Newsletter, Vol. 15, 1990, pp. 21-22.
[34] M. Yamauchi and T. Winn, “Rice Seed Vigour and Seedling Establishment in Anaerobic Soil,” Crop Science, Vol. 36, No. 3, 1996, pp. 680-686. doi:10.2135/cropsci1996.0011183X003600030027x
[35] A. A. Raji, “Assessment of Genetic Diversity and Heterotic Rela-tionships in African Improved and Local Cassava (Manihot esculenta Crantz) Germplasm,” Ph.D. Thesis, Obafemi Awolo-wo University, Ile Ife, 2003, 120 pages.
[36] A. F. Lezzoni and M. P. Pritts, “Application of Principal Component Analysis to Horticultural Research,” Hort Science, Vol. 26, No. 4, 1991, pp. 334-338.
[37] M. A. Adekoya, “Evaluation of Variation, Inter-Character Correlation and Performance of Okra (Abelmo-schus esculentus),” MA Dissertation, University of Agriculture, Abeokuta, 2008, 111 pages.
[38] P. M. Sneath and R. P. Sokai, “Numerical Taxonomy. The Principle and Practice of Numerical Classification,” WH Freeman, San Francisco, 1973.
[39] R. Grittins, “The Application of Ordination Techniques,” In: E. H. Bryanf and W. R. Atchley, Eds., Multivariate Statistical Methods, Hutchinson & Ross, Inc., Strouds-bury, 1975, pp. 102-131
[40] M. A. Adebisi, T. A. Adeniyi, M. O. Ajala and D. C. Akintobi, “Varietal Differences in Seed Physiological Quality of West African Rice Varieties after Dry Heat Treatment,” Nigerian Agricultural Journal, Vol. 39, No. 2, 2008, pp. 159-169.

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