African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6691

Full Length Research Paper

Simple and multiple linear regressions for harvest prediction of Prata type bananas

Bruno Vinícius Castro Guimarães1*, Sérgio Luiz Rodrigues Donato2, Victor Martins Maia3, Ignacio Aspiazú3, Maria Geralda Vilela Rodrigues4 and Pedro Ricardo Rocha Marques2
1Federal Institute of Education, Science and Technology of the Amazon, IFAM, Campus São Gabriel da Cachoeira, BR 307, km 03, Estrada do Aeroporto, Cachoeirinha, ZIP Code 69750-000, São Gabriel da Cachoeira, AM, Brazil. 2Federal Institute of Education, Science and Technology of Bahia – Campus Guanambi, P. O. Box 09, Ceraima District, ZIP Code 46.430-000, Guanambi, BA, Brazil. 3Montes Claros State University– Campus Janaúba, Center for Exact Sciences and Technology, Department of Agricultural Sciences, 2.630 Reinaldo Viana Av., PO Box 91, Bico da Pedra, ZIP Code 39.440-000, Janaúba, MG, Brazil. 4Agricultural Research Company of Minas Gerais / Regional Unit Epamig Northern Minas Gerais, ZIP Code 39525‑000, Nova Porteirinha, MG, Brazil.
Email: [email protected]

  •  Accepted: 21 November 2013
  •  Published: 12 December 2013


This study aimed to fit regression models for harvest prediction in Prata type bananas. The experiment consisted of plants and bunches of bananas carried out in Guanambi, BA, with genotypes Dwarf Prata (AAB) and BRS Platina (AAAB), planted at a spacing of 3.0 × 2.5 m, with irrigation. Measurements of vegetative and yield characteristics were sampled at random. Models of simple and multiple linear regression were estimated, considering as independent variables with highest correlation coefficients with the masses of the bunch (MB) and hands (MH). The simple linear regression models allow prediction of the masses of the bunch and hands, according to the number of hands (NB), with better precision, for both genotypes and at least 120 days prior to harvest. For the’ Dwarf Prata‘, the equations were: MCA = -10.05 + 3.08NH; r² = 0.99, e, MPE = -12.38 + 3.55NH; r² = 0.99. For the ‘BRS Platina’ equations were: MCA = -1.37 + 3.02NH; r² = 0.97 e MPE = -2.74 + 2.88NP; r² = 0.97. The determination coefficients for the adjusted models ensure consistency of the regressions for the estimation of Prata type banana production.


Key words: Estimated harvest, Dwarf Prata (AAB), BRS Platina (AAAB) genotypes, the regression models.