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

Multivariate analysis on dry mass variables in cupuassu progenies (Theobroma grandiflorum) in function of the plant age

Diocléa Almeida Seabra Silva
  • Diocléa Almeida Seabra Silva
  • Instituto de Ciências Agrárias of the Universidade Federal Rural da Amazônia, Belém, Brazil.
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Ismael de Jesus Matos Viégas
  • Ismael de Jesus Matos Viégas
  • Capanema Campus of the Universidade Federal Rural da Amazônia, Capanema, Brazil.
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Sávia Poliana da Silva
  • Sávia Poliana da Silva
  • Instituto de Ciências Agrárias of the Universidade Federal Rural da Amazônia, Belém, Brazil.
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Ricardo Shigueru Okumura
  • Ricardo Shigueru Okumura
  • Capitão Poço Campus of the Universidade Federal Rural da Amazônia, Capitão Poço, Brazil.
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Cândido Ferreira de Oliveira Neto
  • Cândido Ferreira de Oliveira Neto
  • Instituto de Ciências Agrárias of the Universidade Federal Rural da Amazônia, Belém, Brazil.
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Mário Lopes da Silva Júnior
  • Mário Lopes da Silva Júnior
  • Instituto de Ciências Agrárias of the Universidade Federal Rural da Amazônia, Belém, Brazil.
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Socorro de Fátima Souza da Silva Viégas
  • Socorro de Fátima Souza da Silva Viégas
  • Doctoral student Universidade da Amazônia, Belém, Brazil
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Dilson Augusto Capucho Frazão
  • Dilson Augusto Capucho Frazão
  • Federação da Agricultura do Estado do Pará, Belém, Brasil.
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Heráclito Eugênio Oliveira da Conceição
  • Heráclito Eugênio Oliveira da Conceição
  • Capitão Poço Campus of the Universidade Federal Rural da Amazônia, Capitão Poço, Brazil.
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Fábio dos Reis Ribeiro Araújo
  • Fábio dos Reis Ribeiro Araújo
  • Instituto de Ciências Agrárias of the Universidade Federal Rural da Amazônia, Belém, Brazil.
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  •  Received: 13 October 2015
  •  Accepted: 10 February 2016
  •  Published: 30 April 2016

Abstract

The aims of this study was to evaluate the dry matter production in different parts of cupuassu plant (Theobroma grandiflorum), such as leaves, stems, primary and secondary branches in progenies resistant to pests and diseases (Codajás and Manacapuru) in function of the plant age, through the application of multivariate statistical analysis. The experiment was conducted at Embrapa Amazônia Oriental for a period of four years, in a randomized design. Samples were taken of five trees of each progeny, resulting in a total of 40 plants, which were separated into leaves, stems, primary and secondary branches. In each group of variables, the assumptions of canonical correlation analysis were tested, such as multivariate normal, the homoscedasticity deviations, multicollinearity, linearity in the dry mass of plant parts and correlation matrices that test the significance of the experimental data. Plants of PMI186 and PMI215 showed significant canonical correlations between the most variable groups of leaves, stems, primary branches and secondary branches, indicating that the groups are not considered independent, showing a linear relationship between them. In the dry matter of leaves, stems, primary and secondary branches index showed a high degree of significance for the Pearson test when related to parts of cupuassu plants. The largest production of total dry matter was obtained in PMI186 with 4332.92 g plant-1 in secondary branches (4th year) and the lowest production showed in PMI215 with 4086.26 g plant-1 in the secondary branch (4th year).

 

Key words: Linear relationships, vegetative growth, cluster analysis.

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

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