Genetic divergence between sweet sorghum genotypes by the WARD-MLM procedure


  • Adriano dos Santos Universidade Estadual do Norte Fluminense
  • Gessi Ceccon Embrapa Agropecuária Oeste, Dourados
  • Erina Vitório Rodrigues Universidade de Brasília
  • Larissa Pereira Ribeiro Universidade Federal de Viçosa
  • Paulo Eduardo Teodoro Universidade Federal de Mato Grosso do Sul



Sorghun bicolor L. Genetic diversity. Mixed models. Canonical variables.


Sweet sorghum has the potential for use in bioethanol production as a complement to sugarcane. This work aimed to identify sweet sorghum genotypes by mixed models, using the Ward-MLM method. Trials were carried out in the 2013/2014 and 2014/2015 crop years at the experimental area of Embrapa Agropecuária Oeste, in Dourados, Mato Grosso do Sul. The experiment consisted of a randomized blocks design, with three replications, using 16 sweet sorghum genotypes from the breeding program of Embrapa Milho e Sorgo. The genotype effect was significant for all the variables analyzed, and the genotypes x environments interaction was significant for most of these variables. Estimates of genetic parameters indicate that gains with selection can be obtained for the dry mass yield of panicles and ºBrix. The Ward-MLM procedure is useful for detecting genetic divergence and clustering genotypes by simultaneously using morphological, agronomic, and molecular descriptors. In addition, this method showed that three was the ideal number of groups, according to the pseudo-F and pseudo-t2 criteria, identifying the most divergent groups. When crossed, these groups have a higher probability of generating genotypes with high yield and variability.


Download data is not yet available.




How to Cite

SANTOS, A. dos, CECCON, G., RODRIGUES, E.V., RIBEIRO, L.P. and TEODORO, P.E., 2018. Genetic divergence between sweet sorghum genotypes by the WARD-MLM procedure . Bioscience Journal [online], vol. 34, no. 5, pp. 1326–1333. [Accessed15 April 2024]. DOI 10.14393/BJ-v34n5a2018-39488. Available from:



Agricultural Sciences