African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 5890

Full Length Research Paper

Modeling of hypsometric distribution of Handroanthus heptaphyllus seedlings in different containers

Bruno Oliveira Lafeta
  • Bruno Oliveira Lafeta
  • Federal Institute of Education, Science and Technology of Minas Gerais, Department of Forestry, 1043 Primeiro de Junho Avenue, Postal Code 39705-000 São João Evangelista – MG/Brazil.
  • Google Scholar
Renolde Rodrigues
  • Renolde Rodrigues
  • Federal Institute of Education, Science and Technology of Minas Gerais, Department of Forestry, 1043 Primeiro de Junho Avenue, Postal Code 39705-000 São João Evangelista – MG/Brazil.
  • Google Scholar
Tamires Mousslech Andrade Penido
  • Tamires Mousslech Andrade Penido
  • Federal University of Jequitinhonha and Mucuri Valleys, Department of Forestry, Highway MGT 367-km 583, Postal Code 39100-000 Diamantina- MG/Brazil.
  • Google Scholar
Patrícia Lage
  • Patrícia Lage
  • Federal Institute of Education, Science and Technology of Minas Gerais, Department of Forestry, 1043 Primeiro de Junho Avenue, Postal Code 39705-000 São João Evangelista – MG/Brazil.
  • Google Scholar


  •  Received: 02 June 2018
  •  Accepted: 25 July 2018
  •  Published: 13 September 2018

Abstract

Hypsometric information of seedlings allows greater assertiveness of silvicultural decisions in nurseries. This study aimed to evaluate the efficiency of different Probability Density Functions (PDF) to estimate and compare the height distribution of Handroanthus heptaphyllus seedlings in different cultivation containers. One hundred and thirty one seedlings were produce in two types of containers; 81 units in tubes and the remaining in plastic bags. The census was realized at 122-day old, measuring total height of the seedlings using millimeter ruler. The seedlings did not present a tender or brittle caulinar system. Data were grouped into biometric classes with regular intervals of 2.5 cm in height. Seven PDF were adjusted using maximum likelihood method and the one with the best predictive performance was selected to identify the statistical equality between the distributions estimated for the seedling size in each container. The order of predictive efficiency of PDF was distinct between recipients. The Weibull of two parameters function can be used to model the height distribution of H. heptaphyllus seedlings at 122-day old, produced in plastic bags and tubes. The hypsometric distribution was different between containers.

Key words: Height, probability density functions, ipê-roxo.