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Vol. 14 No. 1 (2020)

Vegetable section

Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer

https://doi.org/10.17584/rcch.2020v14i1.8955

Published 2020-01-01

  • Fernanda Carini
    • ,
  • Alberto Cargnelutti Filho
    • ,
  • Jéssica Maronez de Souza
    • ,
  • Rafael Vieira Pezzini
    • ,
  • Cassiane Ubessi
    • ,
  • Márcio André Kreutz

Fernanda Carini
Federal University of Santa Maria, Postgraduate Program in Agronomy, Santa Maria

Alberto Cargnelutti Filho
Federal University of Santa Maria, Department of Crop Science, Santa Maria

Jéssica Maronez de Souza
Federal University of Santa Maria, Postgraduate Program in Agronomy, Santa Maria

Rafael Vieira Pezzini
Federal University of Santa Maria, Postgraduate Program in Agronomy, Santa Maria

Cassiane Ubessi
Federal University of Santa Maria, Postgraduate Program in Agronomy, Santa Maria

Márcio André Kreutz
Federal University of Santa Maria, Graduate Agronomy, Santa Maria

Cultivars lettuce experiment view. Photo: F. Carini

Abstract

The objective of this study was to fit a logistic model to leaf fresh and dry matter and shoot fresh and dry matter in four lettuce cultivars to describe growth in summer. The cultivars Crocantela, Elisa, Rubinela, and Vera were evaluated in the summers of 2017 and 2018 in soil in a protected environment and in a soilless system. Seven days after transplanting, the leaf fresh and dry matter and shoot fresh and dry matter of 8 plants were weighed every 4 days. The model parameters were estimated using R software with the least squares method and iterative process of Gauss-Newton. This study also estimated the confidence intervals of the parameters, verified the assumptions of the models, calculated the goodness-of-fit measures and the critical points, and quantified the parametric and intrinsic nonlinearities. The logistic growth model fit well to the fresh and dry matter in the leaves and shoots in the cultivars Crocantela, Elisa, Rubinela, and Vera and described the growth of lettuce.

Keywords

Lactuca sativa, Plant models, Crop modelling, Non-linear models, Vegetable crop

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