Estimation of genetic diversity among sugarcane (Saccharum species complex) clones
##plugins.themes.bootstrap3.article.main##
Abstract
he experimental materials consisted of 36 sugarcane clones including two checks (Co Pant 97222 and Co Pant 3220). Analysis of variance revealed significant differences among all the clones for all the traits under study namely no. of millable canes, cane height, single cane weight, juice sucrose percent , purity percent , cane yield and CCS yield except cane thickness, juice brix and juice extraction percent. The divergence studies through Mahalanobis D2 statistics grouped the 36 genotypes into eleven clusters. The maximum numbers of genotypes (21) were grouped in clusterI and the lowest (1) in cluster VI,VII,VIII,IX,X and XI. Members of cluster VII and XI (46.48) were found to be genetically most diverse on the basis of their inter cluster difference as opposite to clusters I and II (10.77) which are closely related. Cane height contributed maximum (15.397%) towards genetic divergence followed by Single cane weight (14.762%) and no. of millable cane (13.016%). These characters were considered to be most important for the genetic diversity. Lowest contribution was made by juice purity percent (4.286%) followed by Cane thickness(7.301%),Juice extraction percent (7.619%). Genetic diversity is important for sustainable production since greater losses of characteristics in any population limits its chances of survival. Little to no genetic diversity makes crops extremely susceptible to widespread biotic and abiotic stresses. Genetic diversity can be assessed by Mahalanobis D2 statistic, which is a morphometric method and a powerful tool in quantifying the degree of divergence at genotypic level.
##plugins.themes.bootstrap3.article.details##
##plugins.themes.bootstrap3.article.details##
Characterization, Clusters, Diversity, D2 statistics
Atkin, F.C., Dieters, M.J., and Stringer, J.K. (2009). Impact of depth of pedigree and inclusion of historical data on the estimation of additive variance and breeding values in a sugarcane breeding program. Theoretical and Applied Genetics, 119: 555-565.
Chourasia, K.N., Koujalagi, D., and Bisen, P. (2017).Diversity analysis among genotypes of barley (hordeum vulgare l) based on morphological parameters. G.J.B.B.,6(1): 149-152.
Creste, S., Pinto, L.R., Xavie, M.A., Landell, M.G.A. (2010). Sugarcane Breeding Method and Genetic Mapping, In: Sugar Cane Bioethanol: R&D for productivity and sustainability, L.A.B. Cortez (Ed.): 353-357.
Ferreira, F.M., Barbosa, M.H.P., Castro, R.D., Paternelli, L.A., and Cruz, C.D. (2005). Effects of inbreeding on the selection of sugar cane clones. Crop Breeding and Applied Biotechnology, 5: 174-182.
Sanghera, G.S., Kumar, R., Tyagi, V., Thind, K.S., and Sharma, B. (2015). Genetic divergence among elite sugarcane clones (saccharum officinarum l.) Based on cane yield and quality traits from northern India. Journal of experimental biology and agricultural sciences, 3(2)
Hofsetz, K., and Silva, M.A. (2012). Brazilian sugarcane bagasse: Energy and non-energy consumption. Biomass Bioenerg. 46: 564-573.
Kang, S.A., Noor, M., Khan, F.A. and Saeed, F. (2013). Divergence analysis and association of some economical characters of sugarcane (Saccharum officinarum L.). Journal of Plant Breeding and Genetics. 1: 01-06.
Mahalanobis, P.C. (1936). On the generalized distance in statistics. Proc. Nat. Ins. Sci. India, 12:49-55.
Melchinger, A.E., Kuntze, L., Gumber, R.K., Lubberstedt, T., and Fuchs, E. (1998). Genetic basis of resistance to Sugarcane mosaic virus in European Maize germplasm. Theor. Appl. Genet. 96: 1151-1161
Nair, N.V., Balakrishnan, R., and Sreenivasan, T.V. (1998). Variability for quantitative traits in exotic hybrid germplasm of sugarcane. Gen. Res. and Crop Evolution, 45(5): 459-463.
Punia, M.S., Chaudhary, B.S., and Hooda, R.S. (1983). Genetic divergence in sugarcane. J. Agric. Sci. 53(6): 434-436.
Rao, C.P., Rao, P.N., and Reddy, J.R. (1985). Genetic divergence analysis in sugarcane. Genetica Agraria. 39(3): 237-247.
Rao, C.R. (1952). Advance statistical methods in biometrical research. Ed. II. New York. John Willey and Sons.
Sajjad, M., and Khan, F.A. (2009). Genetic diversity among sugarcane cultivars in Pak. American-Eurasian J. Agric. & Environ. Sci., 6 (6): 730-736.
Silva, C. M., Gonçalves-Vidigal, M.C., Filho, P.S.V., Scapim, C.A., Daros, E., and Silvério, L. (2005). Genetic diversity among sugarcane clones (Saccharum spp.). Acta Sci. Agron.v. 27, n. 2, p. 315-319.
Singh, P. and Singh, V.P. (2002). Genetic divergence in sugarcane germplasm. Indian Journal of Agricultural Sciences 72: 252-253.
Singh, R. K., and Chaudhary, B. D. (1977). Biometrical methods in quantitative genetic analysis. Kalyani Publishers, New Delhi. 318 p.
Singh, R.B., and Bains, S.S. (1968). Genetic divergence for ginning outtern and its component in upland cotton (Gossypium hirsutum L.) varieties obtained from different geographical locations. Indian. J. Gene. Plant. Breeding, 26: 262-268.
Spancer, G.L., and Meade, G.P. (1955). Cane Sugar Hand Book. John Willey and Sons, New York: pp. 359.
Trethowan, R.M., and Kazi, A.M. (2008). Novel germplasm resources for improving environmental stress tolerance of hexaploid wheat. Crop Science, 48:1255-1265
Watson, L., Clifford, H.T., and Dalwitz, M.J. (1985). The classification of Poaceae: Subfamilies and super tribes. Aust. J. Bot. 33: 433-484.
Yadav, V.K., and Singh, I.S., (2010). Comparative evaluation of maize inbred lines (Zea mays L.) according to DUS testing using morphological, physiological and molecular markers. Agricultural Sciences, 1: 131-142.
This work is licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) © Author (s)
