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

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 enviro...

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Bibliographic Details
Main Authors:	Carini, Fernanda, Cargnelutti Filho, Alberto, Souza, Jéssica Maronez de, Pezzini, Rafael Vieira, Ubessi, Cassiane, Kreutz, Márcio André
Format:	Online
Language:	eng
Published:	Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC 2020
Subjects:	Lactuca sativa Plant models Crop modelling Non-linear models Vegetable crop Vegetables Modelos vegetales Modelación de cultivos Modelos no lineales Cultivo de hortalizas Hortalizas
Online Access:	https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955
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Summary:	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.