African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6900

Full Length Research Paper

Adaptability and stability of saccharine sorghum cultivars

Guilherme Cassicala Eculica
  • Guilherme Cassicala Eculica
  • Department of Biology, Federal University of Viçosa, Viçosa, MG, Brasil.
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Pedro César de Oliveira Ribeiro
  • Pedro César de Oliveira Ribeiro
  • Department of Fitotecnia, Federal University of Viçosa, Viçosa, MG, Brasil.
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Aluízio Borém de Oliveira
  • Aluízio Borém de Oliveira
  • Department of Fitotecnia, Federal University of Viçosa, Viçosa, MG, Brasil.
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Nádia Nardelly Lacerda Durães Parrella
  • Nádia Nardelly Lacerda Durães Parrella
  • Department of Agrarian Sciences, Federal University of São João del-Rei, UFSJ, Sete Lagoas, MG, Brasil.
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Pakizza Sherma da Silva Leite
  • Pakizza Sherma da Silva Leite
  • Department of Biology, Federal University of Lavras, UFLA, Lavras, MG, Brasil.
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Rafael Augusto da Costa Parrella
  • Rafael Augusto da Costa Parrella
  • Department of Sorghum Breeding, Brazilian Research Company, Embrapa Maize and Sorghum, Sete Lagoas, Mg, Brasil.
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  •  Received: 20 March 2019
  •  Accepted: 16 May 2019
  •  Published: 31 August 2019

Abstract

The Brazilian bioenergy sector has been trying the use of saccharine sorghum in order to optimize ethanol production. However, there are few varieties fitted to this objective and little knowledge about their adaptability and stability. Then, the purpose of this work was to study the adaptability and stability of saccharine sorghum, taking into account the effects of the G x E interaction, to select superior genotypes and validate if the two selection methods for identification of genotypes with better phenotypic stability complement one another. Thus, the methodologies of Eberhart and Russell as well as Cruz et al. were used; and according to Eberhart and Russell, the BRS 511 genotype is preferred in ethanol production because it presents highly predictable and responsive behavior to changes in environments for all the traits evaluated in specific or broad conditions. The method also identified the genotypes CMSXS644, CMSXS647 and Sugargraze for green mass production; CMSXS629, CMSXS630, CMSXS646, CMSXS647, BRS 508, BRS509 and CV198 for tons of brix per hectare; and finally, CMSXS629, CMSXS630, CMSXS643, CMSXS646, BRS 506 and BRS 509 for total soluble solid content. The methods used in this study were not complementary to selection genotypes.

Key words: Bioethanol, ethanol production, genotype and environment interaction, genetic breeding, Sorghum bicolor (L.) Moench.

 

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This article is published under the terms of the Creative Commons Attribution License 4.0

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