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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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:
Online Access:https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955
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author Carini, Fernanda
Cargnelutti Filho, Alberto
Souza, Jéssica Maronez de
Pezzini, Rafael Vieira
Ubessi, Cassiane
Kreutz, Márcio André
author_facet Carini, Fernanda
Cargnelutti Filho, Alberto
Souza, Jéssica Maronez de
Pezzini, Rafael Vieira
Ubessi, Cassiane
Kreutz, Márcio André
author_sort Carini, Fernanda
collection OJS
description 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.
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spelling oai:oai.revistas.uptc.edu.co:article-89552020-12-23T15:26:53Z Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer Ajuste del modelo logístico para caracteres productivos de cultivares de lechuga en condiciones de verano Carini, Fernanda Cargnelutti Filho, Alberto Souza, Jéssica Maronez de Pezzini, Rafael Vieira Ubessi, Cassiane Kreutz, Márcio André Lactuca sativa Plant models Crop modelling Non-linear models Vegetable crop Vegetables Lactuca sativa Modelos vegetales Modelación de cultivos Modelos no lineales Cultivo de hortalizas Hortalizas 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. El objetivo de este trabajo fue ajustar el modelo Logístico para las masas fresca y seca de hojas y las masas fresca y seca de parte aérea de cuatro cultivares de lechuga para describir el crecimiento en el verano. Se utilizaron los cultivares de lechuga Crocantela, Elisa, Rubinela y Vera, cultivados en el verano de los años 2017 y 2018, en ambiente protegido y cultivo sin suelo. Después de 7 días del trasplante, se determinó las masas fresca y seca de hojas y las masas fresca y seca de parte aérea de 8 plantas, estas evaluaciones se realizaron cada 4 días. Los parámetros del modelo fueron estimados utilizando el software R, por el método de mínimos cuadrados y proceso iterativo de Gauss-Newton. También se estimaron los intervalos de confianza de los parámetros, verificados los supuestos, calculados los indicadores de calidad del ajuste, los puntos críticos y cuantificados las no linealidades paramétrica e intrínseca. El modelo de crecimiento logístico presentó un ajuste satisfactorio para las masas fresca y seca de hojas y para las masas fresca y seca de parte aérea para las cultivares de lechuga Crocantela, Elisa, Rubinela y Vera, siendo así, indicado para describir el crecimiento de los cultivares de lechuga. Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC 2020-01-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Text Texto application/pdf https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955 10.17584/rcch.2020v14i1.8955 Revista Colombiana de Ciencias Hortícolas; Vol. 14 No. 1 (2020); 104-114 Revista Colombiana de Ciencias Hortícolas; Vol. 14 Núm. 1 (2020); 104-114 Revista Colombiana de Ciencias Hortícolas; Vol. 14 No 1 (2020); 104-114 Revista Colombiana de Ciencias Hortícolas; V. 14 N. 1 (2020); 104-114 Revista Colombiana de Ciencias Hortícolas; v. 14 n. 1 (2020); 104-114 2422-3719 2011-2173 eng https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955/9283 Brazil; RS; Santa Maria Brazil; RS; Santa Maria Copyright (c) 2020 Revista Colombiana de Ciencias Hortícolas
spellingShingle Lactuca sativa
Plant models
Crop modelling
Non-linear models
Vegetable crop
Vegetables
Lactuca sativa
Modelos vegetales
Modelación de cultivos
Modelos no lineales
Cultivo de hortalizas
Hortalizas
Carini, Fernanda
Cargnelutti Filho, Alberto
Souza, Jéssica Maronez de
Pezzini, Rafael Vieira
Ubessi, Cassiane
Kreutz, Márcio André
Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer
title Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer
title_alt Ajuste del modelo logístico para caracteres productivos de cultivares de lechuga en condiciones de verano
title_full Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer
title_fullStr Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer
title_full_unstemmed Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer
title_short Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer
title_sort fitting a logistic growth model to yield traits in lettuce cultivars growing in summer
topic Lactuca sativa
Plant models
Crop modelling
Non-linear models
Vegetable crop
Vegetables
Lactuca sativa
Modelos vegetales
Modelación de cultivos
Modelos no lineales
Cultivo de hortalizas
Hortalizas
topic_facet Lactuca sativa
Plant models
Crop modelling
Non-linear models
Vegetable crop
Vegetables
Lactuca sativa
Modelos vegetales
Modelación de cultivos
Modelos no lineales
Cultivo de hortalizas
Hortalizas
url https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955
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