Genetic Variability and Correlation studies in ‘egusi’ Melon (citrullus lanatus (thunb.) Matsum & Nakai)
Abstract
Genetic variability and correlation analysis were carried out on 20 accessions of melon during two growing seasons. The genotypic correlation coefficients of some characters with seed yield were partitioned into direct and indirect effects. Heritability in the broad sense ranged from 17% for fruit circumference to 90% for days to germination and flowering in the early season, while in the late season this parameter ranged from 7% for seed weight per fruit to 88% for days to germination. High phenotypic and genotypic coefficients of variation were recorded for seed yield while days to maturity had the least in both seasons. Fruit circumference and fruit weight had significant genotypic and phenotypic correlation with seed yield in the early season while number of branches per plant, vine length per plant, number of fruits per plant and fruit circumference per plant showed significant genotypic and phenotypic correlation with seed yield in the late season. Environmental correlation coefficients were significant between seed yield and vine length per plant, number of fruits per plant and fruit size per plant. Path coefficient analysis revealed that vine length per plant and fruit circumference per plant had the largest positive direct effect on seed yield. The implications of these findings in the selection of superior genotypes are discussed.
References
Badifu, G. I. O., Ogunsua, A. O. 1991. Chemical composition of kernels from some species of Cucurbitaceae grown in Nigeria. Plant foods Human Nutr 41: 35 – 44.
Brar, J. S. , Sukhija, B. S. 1977. Line x tester analysis of combinig ability in melon. (Citrullus lanatus (Thunb.) Mansf.) Indian J. Hortic. 34, 410.
Burton, G. W. 1952. Quantitative inheritance in grasses, Proceedings of the Sixth International Grassland Congress, Pennsylvania State College, USA, 17, 23 August 1952, pp. 277 - 283.
Dewey, D. R., Lu, K. A. 1959. A correlation and path coefficient of components of crested wheat grass. Agron . J. 51: 515 – 518.
Enujiugha, V. N., Ayodele, O. O. 2003. Evaluation of nutrients and some anti-nutrients in lesser-known, underutilized oil seeds. International Journal of Food Science and Technology 38(5), 525 – 528.
Kumar, A., Misra, S. C., Singh, Y. P. , Chauhan, B. P. S. 1985. Variability and correlation studies in Triticale, J. Maharashtra Agric Univ. 10: 273 - 275.
Neppl, G. P. 2001. Efficient trailing methods for melon (Citrullus lanatus (Thunb.) Matsum.& Nakai). Thesis submitted to Graduate Faculty of North Carolina State University. pp 24
Poole, C. F., Grimball, T. C., Porter, D. R. 1941. Inheritance of seed characteristics of melon. J. Agron. Exp. 63: 433
Taha, M., Omara, K., Eljack, A. 2003. Correlation among growth, yield and quality characters in Cucumis melo L. Cucurbit Genetics Cooperative Report 26: 8-11
Vijay, O. P. 1987. Genetic variability, correlation and path analysis in muskmelon (Cucumis melo L.) Indian J. Hort. 44:233-238.
Miller, P. A., Williams, J. C., Robinson, H. F.. Comstock, R.E. 1958. Estimates of genotypic and environmental variances and covariances in upland cotton and their implication in selection. Agron.J.Hort.50: 124 - 131.
Whitaker, T. W., Davies, G. N. 1962. Cucurbits: Botany cultivation and utilization. Inter-science Publishers Inc. New York, USA
Wright, S. 1921. Correlation and Causation. J. Agric. Res. 20: 557 – 585.
Wright, S. 1934. The method of path coefficients. Annals of mathematical Statistics pp 161 – 215.