Comparison of non-linear models to describe growth curves of the rough lemon root (Citrus jambhiri Lush.) under nursery conditions

This work aimed to find the statistical model that best describes the growth pattern of  Lemon 'Rugoso' rootstock (Citrus jambhir Lusch.) in the nursery up to grafting diameter. Thus, the sowing was carried out in seedlings. 45 days after emerging, the seedlings were transplanted...

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Autores principales: Forlin, Alejandro S., Chabbal, Marco D., Yfran, Elvira María de las M., Giménez, Laura I., Carcaño, A. F., Beltrán, V. M.
Formato: Artículo revista
Lenguaje:Español
Publicado: Instituto Agrotécnico "Pedro M. Fuentes Godo" - Facultad de Ciencias Agrarias (UNNE) 2023
Materias:
Logistic model
Richards model
Monomolecular model
parameter comparison
citrus
modelo Logístico
modelo Richards
modelo Monomolecular
comparación de parámetros
Acceso en línea:https://revistas.unne.edu.ar/index.php/agr/article/view/7268
Aporte de:
Revistas UNNE - Universidad Nacional del Noroeste (UNNE) de Universidad Nacional del Nordeste
id I48-R154-article-7268
record_format ojs
spelling I48-R154-article-72682023-12-27T19:01:50Z Comparison of non-linear models to describe growth curves of the rough lemon root (Citrus jambhiri Lush.) under nursery conditions Comparación de modelos no lineales para describir curvas de crecimiento del portainjerto limón rugoso (Citrus jambhiri Lush.) bajo condiciones de vivero Forlin, Alejandro S. Chabbal, Marco D. Yfran, Elvira María de las M. Giménez, Laura I. Carcaño, A. F. Beltrán, V. M. Logistic model Richards model Monomolecular model parameter comparison citrus modelo Logístico modelo Richards modelo Monomolecular comparación de parámetros citrus This work aimed to find the statistical model that best describes the growth pattern of  Lemon 'Rugoso' rootstock (Citrus jambhir Lusch.) in the nursery up to grafting diameter. Thus, the sowing was carried out in seedlings. 45 days after emerging, the seedlings were transplanted to 5 L pots with a substrate consisting of rice husks (40%), soil (40%), and commercial substrate (20%). Growth variables were evaluated every 30 days. For aerial growth, the following were quantified: neck diameter (DC), number of leaves (CH), stem length (LT), fresh mass of the stem (MFTa), fresh mass of leaves (MFH), dry mass of the stem (MSTa), dry mass of leaves (MSH). Also, root growth through root length (LR), fresh (MFR) and dry root mass (MSR), and total variables: total fresh mass (MFTotal), total dry mass (MSTotal), and full length (LT). To model growth curves, Logistic, Gompertz, and Monomolecular models were tested. The Gompertz model best fitted the rootstock growth over time for the aerial growth variables (except the number of leaves) and for the total variables (except the total length), while the Logistic model was the one that best adjusted the growth of the rootstock based on the time for the root growth variables. It was also suitable for the variables number of leaves and total length due to it presented a lower residual mean square of the error compared to the Logistic, Richards, and Monomolecular models.  El objetivo fue encontrar el modelo estadístico que mejor describa el patrón de crecimiento del portainjerto Limón 'Rugoso' (Citrus jambhiri Lusch.) en vivero hasta diámetro de injertación. Para ello se sembró en almácigos y a los 45 días de la emergencia los plantines se trasplantaron a macetas de 5 L con sustrato constituido por cascarilla de arroz (40 %), suelo (40 %), y sustrato comercial (20 %). Se evaluaron variables de crecimiento cada 30 días. Para el crecimiento aéreo se cuantificó: diámetro de cuello (DC); cantidad de hojas (CH), largo del tallo (LT); masa fresca del tallo (MFTa), masa fresca de hojas (MFH), masa seca del tallo (MSTa); masa seca de hojas (MSH).  También el crecimiento de raíz mediante: largo de raíz (LR), masa fresca (MFR) y seca de raíz (MSR), y variables totales: masa fresca total (MFTotal); masa seca total (MSTotal) y largo total (LT). Para modelar las curvas de crecimiento se probaron los modelos Logístico, Gompertz y Monomolecular. El modelo Gompertz fue el que mejor ajustó al crecimiento del portainjerto en el tiempo para las variables de crecimiento aéreo (a excepción del número de hojas) y para las variables totales (a excepción del largo total), mientras que el modelo Logístico fue el que mejor ajustó al crecimiento del portainjerto en función del tiempo para las variables de crecimiento radicular.  También, obtuvo buen ajuste para las variables número de hojas y largo total, debido a que presentó menor cuadrado medio residual del error comparado con los modelos Logístico, Richards y Monomolecular. Instituto Agrotécnico "Pedro M. Fuentes Godo" - Facultad de Ciencias Agrarias (UNNE) 2023-12-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unne.edu.ar/index.php/agr/article/view/7268 10.30972/agr.347268 Agrotecnia; Núm. 34 (2023); 15-23 2545-8906 0328-4077 spa https://revistas.unne.edu.ar/index.php/agr/article/view/7268/6699 http://creativecommons.org/licenses/by-nc-sa/4.0
institution Universidad Nacional del Nordeste
institution_str I-48
repository_str R-154
container_title_str Revistas UNNE - Universidad Nacional del Noroeste (UNNE)
language Español
format Artículo revista
topic Logistic model
Richards model
Monomolecular model
parameter comparison
citrus
modelo Logístico
modelo Richards
modelo Monomolecular
comparación de parámetros
citrus
spellingShingle Logistic model
Richards model
Monomolecular model
parameter comparison
citrus
modelo Logístico
modelo Richards
modelo Monomolecular
comparación de parámetros
citrus
Forlin, Alejandro S.
Chabbal, Marco D.
Yfran, Elvira María de las M.
Giménez, Laura I.
Carcaño, A. F.
Beltrán, V. M.
Comparison of non-linear models to describe growth curves of the rough lemon root (Citrus jambhiri Lush.) under nursery conditions
topic_facet Logistic model
Richards model
Monomolecular model
parameter comparison
citrus
modelo Logístico
modelo Richards
modelo Monomolecular
comparación de parámetros
citrus
author Forlin, Alejandro S.
Chabbal, Marco D.
Yfran, Elvira María de las M.
Giménez, Laura I.
Carcaño, A. F.
Beltrán, V. M.
author_facet Forlin, Alejandro S.
Chabbal, Marco D.
Yfran, Elvira María de las M.
Giménez, Laura I.
Carcaño, A. F.
Beltrán, V. M.
author_sort Forlin, Alejandro S.
title Comparison of non-linear models to describe growth curves of the rough lemon root (Citrus jambhiri Lush.) under nursery conditions
title_short Comparison of non-linear models to describe growth curves of the rough lemon root (Citrus jambhiri Lush.) under nursery conditions
title_full Comparison of non-linear models to describe growth curves of the rough lemon root (Citrus jambhiri Lush.) under nursery conditions
title_fullStr Comparison of non-linear models to describe growth curves of the rough lemon root (Citrus jambhiri Lush.) under nursery conditions
title_full_unstemmed Comparison of non-linear models to describe growth curves of the rough lemon root (Citrus jambhiri Lush.) under nursery conditions
title_sort comparison of non-linear models to describe growth curves of the rough lemon root (citrus jambhiri lush.) under nursery conditions
description This work aimed to find the statistical model that best describes the growth pattern of  Lemon 'Rugoso' rootstock (Citrus jambhir Lusch.) in the nursery up to grafting diameter. Thus, the sowing was carried out in seedlings. 45 days after emerging, the seedlings were transplanted to 5 L pots with a substrate consisting of rice husks (40%), soil (40%), and commercial substrate (20%). Growth variables were evaluated every 30 days. For aerial growth, the following were quantified: neck diameter (DC), number of leaves (CH), stem length (LT), fresh mass of the stem (MFTa), fresh mass of leaves (MFH), dry mass of the stem (MSTa), dry mass of leaves (MSH). Also, root growth through root length (LR), fresh (MFR) and dry root mass (MSR), and total variables: total fresh mass (MFTotal), total dry mass (MSTotal), and full length (LT). To model growth curves, Logistic, Gompertz, and Monomolecular models were tested. The Gompertz model best fitted the rootstock growth over time for the aerial growth variables (except the number of leaves) and for the total variables (except the total length), while the Logistic model was the one that best adjusted the growth of the rootstock based on the time for the root growth variables. It was also suitable for the variables number of leaves and total length due to it presented a lower residual mean square of the error compared to the Logistic, Richards, and Monomolecular models.
publisher Instituto Agrotécnico "Pedro M. Fuentes Godo" - Facultad de Ciencias Agrarias (UNNE)
publishDate 2023
url https://revistas.unne.edu.ar/index.php/agr/article/view/7268
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first_indexed 2024-08-21T22:36:14Z
last_indexed 2024-08-21T22:36:14Z
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