Gibberellic acid on postharvest quality of banana 'Maçã' evaluated by artificial neural networks

Authors

  • César Fernandes Aquino Universidade Federal de Viçosa, Departamento de Fitotecnia, Setor de Fruticultura, Avenida P.H. Rolfs, s/no, Campus Universitário, CEP 36570‑900 Viçosa, MG, Brasil.
  • Luiz Carlos Chamhum Salomão Universidade Federal de Viçosa, Departamento de Fitotecnia, Setor de Fruticultura, Avenida P.H. Rolfs, s/no, Campus Universitário, CEP 36570‑900 Viçosa, MG, Brasil.
  • Alcinei Mistico Azevedo Universidade Federal de Minas Gerais, Instituto de Ciências Agrárias, Avenida Universitária, no 1.000, Bairro Universitário, CEP 39404‑547 Montes Claros, MG, Brasil.

DOI:

https://doi.org/10.1590/S1678-3921.pab2016.v51.23188

Keywords:

Musa, computational intelligence, fruit quality, growth regulator

Abstract

The objective of this work was to evaluate the effect of gibberellic acid doses on the extent of banana 'Maçã' postharvest life and the applicability of the use of artificial neural networks. A completely randomized design was carried out in a split-plot arrangement, with five doses of GA3 in the plots and evaluation times in the subplots, with four replicates, with a three‑fruit bunch by sample unit. Fruit were harvested with totally green peel and were immersed for 10 min, at room temperature, in the following treatments: 0 (control), 25, 50, 75, and 100 mg L‑1 GA3. The bunches were stored in a cold chamber (20±1°C, with 91% air relative humidity). Artificial neural networks are effective, providing estimates of the coefficient of determination higher than those obtained by multiple linear regression models. After 19 days of storage, the dose of 100 mg L‑1 GA3 is more favorable to banana 'Maçã' postharvest conservation, in all the evaluated traits during storage.

Author Biographies

César Fernandes Aquino, Universidade Federal de Viçosa, Departamento de Fitotecnia, Setor de Fruticultura, Avenida P.H. Rolfs, s/no, Campus Universitário, CEP 36570‑900 Viçosa, MG, Brasil.

Engenheiro Agrônomo, Doutor em Fitotecnia/fruticultura. Departamento de Fitotecnia, UFV.

Luiz Carlos Chamhum Salomão, Universidade Federal de Viçosa, Departamento de Fitotecnia, Setor de Fruticultura, Avenida P.H. Rolfs, s/no, Campus Universitário, CEP 36570‑900 Viçosa, MG, Brasil.

Departamento de Fitotecnia, Setor de Fruticultura, Universidade Federal de Viçosa.

Alcinei Mistico Azevedo, Universidade Federal de Minas Gerais, Instituto de Ciências Agrárias, Avenida Universitária, no 1.000, Bairro Universitário, CEP 39404‑547 Montes Claros, MG, Brasil.

Departamento de Estatistica do Instituto de Ciências Agrárias da Universidade Federal de Minas Gerais.

Published

2016-09-26

How to Cite

Aquino, C. F., Chamhum Salomão, L. C., & Mistico Azevedo, A. (2016). Gibberellic acid on postharvest quality of banana ’Maçã’ evaluated by artificial neural networks. Pesquisa Agropecuaria Brasileira, 51(7), 824–833. https://doi.org/10.1590/S1678-3921.pab2016.v51.23188

Issue

Section

POMOLOGY