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Multivariate analysis in the selection of elephant grass genotypes for biomass production

Author

Listed:
  • Gravina, Lilia M.
  • Rebecca A. de Oliveira, Tâmara
  • Daher, Rogério F.
  • Gravina, Geraldo A.
  • F. Vidal, Ana Kessia
  • Stida, Wanessa F.
  • Cruz, Derivaldo P.
  • de Sant’Anna, Camila Q.S.S.
  • Rocha, Richardson S.
  • Pereira, Antonio V.
  • F. de Oliveira, Gustavo Hugo

Abstract

The elephant grass has proved to be a great option for biomass production because it causes less damage to the environment, yet there is not a lot of information about its use as a renewable energy source. The objective of this study was to use multivariate analysis to check elephant grass genotypes for biomass production. Between 2016 and 2018, comprising four semiannual cutting, 12 entries were evaluated, and the Active Germplasm Bank of Elephant grass of North Fluminense State University Darcy Ribeiro presented better performances for dry matter yield. The experimental design was a randomized complete block design with three replications. ANOVA and biplot graphs were drawn for variables plant height, number of tillers, stem diameter, leaf blade length, leaf blade width, dry weight and percentage of dry matter. The variance analysis showed the existence of genetic variability between elephant grass genotypes and two first principal components, a biplot analysis of the genotype and the characteristics explained 70.07% of the total variation. The dry weight per linear meter and yield per hectare were the variables with greater discriminatory powers, thus being suitable for selecting elephant grass genotypes. The dry matter yield was positively correlated with dry weight and stem diameter. Genotypes 7, 11 and 12 presented the highest overall mean and were also the most stable.

Suggested Citation

  • Gravina, Lilia M. & Rebecca A. de Oliveira, Tâmara & Daher, Rogério F. & Gravina, Geraldo A. & F. Vidal, Ana Kessia & Stida, Wanessa F. & Cruz, Derivaldo P. & de Sant’Anna, Camila Q.S.S. & Rocha, Rich, 2020. "Multivariate analysis in the selection of elephant grass genotypes for biomass production," Renewable Energy, Elsevier, vol. 160(C), pages 1265-1268.
    • Handle: RePEc:eee:renene:v:160:y:2020:i:c:p:1265-1268
    DOI: 10.1016/j.renene.2020.06.094
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    References listed on IDEAS

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    1. de Oliveira Bordonal, Ricardo & Lal, Rattan & Alves Aguiar, Daniel & de Figueiredo, Eduardo Barretto & Ito Perillo, Luciano & Adami, Marcos & Theodor Rudorff, Bernardo Friedrich & La Scala, Newton, 2015. "Greenhouse gas balance from cultivation and direct land use change of recently established sugarcane (Saccharum officinarum) plantation in south-central Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 547-556.
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