Genetic diversity and coefficient of kinship among potential genitors for obtaining cultivars of energy cane

Luís Cláudio Inácio da Silveira, Bruno Portela Brasileiro, Volmir Kist, Edelclaiton Daros, Luiz Alexandre Peternelli


The aim of this study was to evaluate the genetic diversity and coefficient of kinship in 50 sugarcane genotypes, in addition to identifying potential parents for obtaining cultivars of energy cane. Diversity analysis was carried out based on the evaluation of morphological and agronomical characteristics. The coefficient of kinship was obtained from information on pedigree. According to analyses carried out, genotypes were separated into two groups. Group G1 consisted of 13 genotypes from the species Saccharum spontaneum and Saccharum robustum. The other 37 genotypes were from back-crosses with Saccharum officinarum, and were allocated to group G2. The genotypes displayed low values for genetic similarity and coefficient of kinship, indicating broad genetic variability in the population. Carrying out crosses involving genotypes from group G1, especially those with a fibre content of over 17% (IJ76-293, 57NG12, IN84-82, IN84-88, IM76-228 and UM69/001), with genotypes from group G2 which have high stalk yield (RB92579, RB83102, RB047232, RB867515, RB971723, RB937570, RB011941, RB75126, MEX68-200, Co62175 and CP691052), should be explored, with the aim of developing energy cane cultivars. Analyses of diversity and of the coefficient of kinship made it possible to identify two heterotic groups. Moreover, it was possible to identify two potential parent groups for obtaining energy cane cultivars. Genetic distances which are based on both morpho-agronomical data and on pedigree, should be used in a complementary way, with a view to having more information when choosing the best parents.


Saccharum spp.; Germplasm; Biomass; Breeding

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BARBÉ, T. C. et al. Association between advanced generations and genealogy in inbred lines of snap bean by the Ward-Modified Location Model. Euphytica, v. 173, n. 3, p. 337-343, 2009.

BARBOSA, M. H. P. et al. Genetic improvement of sugarcane for bioenergy: the Brazilian experience in network research with RIDESA. Crop Breeding and Applied Biotechnology, v. 12, n. 2, p. 87-98, 2012.

BARBOSA, G. V. S. et al. A brief report on sugarcane breeding program in Alagoas, Brazil. Crop Breeding and Applied Biotechnology, v.2, n. 4, p. 613-616, 2002.

BRASILEIRO, B. P. et al. Genetic diversity in sugarcane varieties in Brazil based on the Ward-Modified Location Model clustering strategy. Genetics and Molecular Research, v. 13, n. 1, p. 1650-1660, 2014.

BRASILEIRO, B. P. et al. Genetic diversity and selection gain in the physic nut (Jatropha curcas). Genetic and Molecular Research, v. 12, n. 3, p. 2341-2350, 2013.

CABRAL, P. D. S. et al. Quantification of the diversity among common bean accessions using Ward-MLM strategy. Pesquisa Agropecuária Brasileira, v. 45, n. 10, p. 1124-1132, 2010.

CAPAZ, R. S.; CARVALHO, V. S. B.; NOGUEIRA, L. A. H. Impact of mechanization and previous burning reduction on GHG emissions of sugarcane harvesting operations in Brazil. Applied Energy, v. 102, p. 220-228, 2013.

CARDONA, C. A.; QUINTERO, J. A.; PAZ, I. C. Production of bioethanol from sugarcane bagasse: status and perspectives. Bioresource Technology, v. 101, n. 13, p. 4754-4766, 2010.

DIAS, M. O. S. et al. Cogeneration in integrated first and second generation ethanol from sugarcane. Chemical Engineering Research and Design, v. 91, n. 8, p.1411-1417, 2013.

DUARTE FILHO, L. S. C et al. Genetic similarity among genotypes of sugarcane estimated by SSR and coefficient of parentage. Sugar Tech, v. 12, n. 2, p. 145-149, 2010.

FERNANDES, A. C. Cálculos na agroindústria da cana-de-açúcar. Piracicaba: STAB, 2003. 193 p.

FRANCO J. et al. Classifying genetic resources by categorical and continuous variables. Crop Science, v. 38, n. 6, p. 1688-1696, 1998.

GOWER, J. C. A general coefficient of similarity and some of its properties. Biometrics, v. 27, n. 04, p. 857-871, 1971.

HALLAUER, A. R.; CARENA, M. J.; MIRANDA FILHO, J. B. Quantitative Genetics in Maize Breeding. New York: Springer, 2010. 663 p.

HOFSETZ, K.; SILVA, M. A. Brazilian sugarcane bagasse: Energy and non-energy consumption. Biomass and Bioenergy, v. 46, p. 564-573, 2012.

KEMPTHORNE O. An introduction to genetic statistics. Ames: Iowa State University Press, 1973. 545p.

LIMA, M. L. A. et al. Analysis of genetic similarity detected by AFLP and coefficient of parentage among genotypes of sugar cane (Saccharum spp.). Theoretical and Applied Genetics, v. 104, n. 1, p. 30-38, 2002.

MING R. et al. Sugarcane Improvement through Breeding and Biotechnology. In: JANICK, J. Plant breeding reviews. New York, John Wiley & Sons, 2006. cap. 2, p. 15-118.

OLIVEIRA, R. S. et al. Genetic divergence on castor bean using the ward-mlm strategy. Revista Ciência Agronômica, v. 44, n. 3, p. 564-570, 2013.

PEREIRA, V. M. et al. Genetic diversity between improved banana diploids using canonical variables and the Ward-MLM method. Pesquisa Agropecuária Brasileira, v. 47, n. 10, p. 1480-1488, 2012.

PESTANANA, R. K. N et al. Agronomic and molecular characterization of gamma ray induced banana (Musa sp.) mutants using a multivariate statistical algorithm. Euphytica, v. 178, n. 2, p. 151-158, 2011.

PETERNELLI, L. A. et al. Análise dos coeficientes de endogamia e de parentesco para qualquer nível de ploidia usando o pacote estatístico R. Bragantia, v. 68, n. 4, p. 849-855, 2009.

R DEVELOPMENT CORE TEAM (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, Available at <> Assessed in: April 2013.

RABELO, S. C. et al. Production of bioethanol, methane and heat from sugarcane bagasse in a biorefinery concept. Bioresource Technology, v. 102, n. 17, p. 7887-7895, 2011.

SANTOS, J. M. et al. Genetic diversity of the main progenitors of sugarcane from the RIDESA germplasm bank using SSR markers. Industrial Crops Products, v. 40, p. 145-150, 2012.

SEABRA, J. E. A. et al. A techno-economic evaluation of the effects of centralized cellulosic ethanol and co-products refinery options with sugarcane mill clustering. Biomass and Bioenergy, v. 34, n. 8, p. 1065-1078, 2010.

SNEATH, P. H.; SOKAL, R. R. Numerical taxonomy: The principles and practice of numerical classification. San Francisco: W.H. Freeman, 1973. 573 p.

SOKAL, R. R.; ROHLF, F. J. The comparison of dendrograms by objective methods. Taxon. v.11, n. 02, p. 33-40, 1962.

TEW, T. L.; COBILL, R. M. Genetic Improvement of Sugarcane (Saccharum spp.) as an Energy Crop. In: VERMERRIS, W. Genetic Improvement of Bioenergy Crops. Springer, New York, 2008. cap. 9, p. 273-294.

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