Mathematical model GERMINAN for the analysis of germination test results

The objective of this work was to propose a simple mathematical model, called GERMINAN, for the analysis of germination test results obtained through the application of different treatments. To verify the validity of the proposed model, the results of germination tests of Vicia villosa under water a...

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Autores principales: Perisse, Patricia, Perissé, Patricia, Arias, Claudia, Marini, Ricardo Luis
Formato: Artículo revista
Lenguaje:Inglés
Publicado: Facultad de Ciencias Agropecuarias 2025
Materias:
germination
hydrotime
prediction
germinación
tiempo hídrico
predicción
Acceso en línea:https://revistas.unc.edu.ar/index.php/agris/article/view/46850
Aporte de:
AgriScientia de Universidad Nacional de Córdoba
id I10-R352-article-46850
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spelling I10-R352-article-468502025-12-27T17:05:47Z Mathematical model GERMINAN for the analysis of germination test results Modelo matemático GERMINAN para el análisis de resultados de ensayos de germinación Perisse, Patricia Perissé, Patricia Arias, Claudia Marini, Ricardo Luis germination hydrotime prediction germinación tiempo hídrico predicción The objective of this work was to propose a simple mathematical model, called GERMINAN, for the analysis of germination test results obtained through the application of different treatments. To verify the validity of the proposed model, the results of germination tests of Vicia villosa under water and salinity stress, and of Panicum virgatum under water stress, were analyzed and compared with the hydrotime model. Germination tests were performed with the following treatments: control and water potentials of -0.3, -0.6, -0.8, -1, and -1.2 MPa for V. villosa, and -0.8, -1.0, -1.2 MPa for P. virgatum. The osmolytes used were polyethylene glycol (PEG) to simulate water stress and sodium chloride (NaCl) for salinity stress. The overall regression coefficients (R²) of the experimental and modeled results using the GERMINAN, Gummerson, and Bradford models for V. villosa under water stress were 0.981, 0.960, and 0.959, respectively; for salinity, 0.994, 0.963, and 0.962; while for P. virgatum under water stress, they were 0.949, 0.927, and 0.855, respectively. The GERMINAN model demonstrated greater alignment between the experimental and modeled values compared to those obtained with the Gummerson and Bradford models. Moreover, the proposed model can be easily applied using a scientific calculator or Excel program. El objetivo de este trabajo fue proponer un modelo matemático simple, denominado GERMINAN, para el análisis de los resultados de ensayos de germinación obtenidos mediante la aplicación de diferentes tratamientos. Para verificar la validez del modelo propuesto, se analizaron los resultados de ensayos de germinación de Vicia villosa bajo estrés hídrico y salino, y de Panicum virgatum bajo estrés hídrico, y se compararon con el modelo de hydrotime. Las pruebas de germinación se realizaron con los siguientes tratamientos: control y potenciales hídricos de -0,3, -0,6, -0,8, -1 y -1,2 MPa para V. villosa, y -0,8, -1,0, -1,2 MPa para P. virgatum. Los osmolitos fueron polietilenglicol (PEG) para simular estrés hídrico y cloruro sódico (NaCl) para salinidad. Los coeficientes de regresión globales (R²) de los resultados experimentales y modelados con los modelos GERMINAN, Gummerson y Bradford para V. villosa bajo estrés hídrico fueron 0,981, 0,960 y 0,959, respectivamente; para salinidad fueron 0,994, 0,963 y 0,962; para P. virgatum bajo estrés hídrico fueron 0,949, 0,927 y 0,855, respectivamente. Consecuentemente, el modelo GERMINAN demostró mayor alineación entre los valores experimentales y modelados comparados con los modelos de Gummerson y Bradford. Además, el modelo propuesto puede aplicarse fácilmente utilizando una calculadora científica o Excel. Facultad de Ciencias Agropecuarias 2025-12-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/agris/article/view/46850 10.31047/1668.298x.v42.n2.46850 AgriScientia; Vol. 42 No. 2 (2025); 17-36 AgriScientia; Vol. 42 Núm. 2 (2025); 17-36 1668-298X 10.31047/1668.298x.v42.n2 eng https://revistas.unc.edu.ar/index.php/agris/article/view/46850/51924 Derechos de autor 2025 Patricia Perisse, Claudia Arias, Ricardo Luis Marini https://creativecommons.org/licenses/by-sa/4.0
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-352
container_title_str AgriScientia
language Inglés
format Artículo revista
topic germination
hydrotime
prediction
germinación
tiempo hídrico
predicción
spellingShingle germination
hydrotime
prediction
germinación
tiempo hídrico
predicción
Perisse, Patricia
Perissé, Patricia
Arias, Claudia
Marini, Ricardo Luis
Mathematical model GERMINAN for the analysis of germination test results
topic_facet germination
hydrotime
prediction
germinación
tiempo hídrico
predicción
author Perisse, Patricia
Perissé, Patricia
Arias, Claudia
Marini, Ricardo Luis
author_facet Perisse, Patricia
Perissé, Patricia
Arias, Claudia
Marini, Ricardo Luis
author_sort Perisse, Patricia
title Mathematical model GERMINAN for the analysis of germination test results
title_short Mathematical model GERMINAN for the analysis of germination test results
title_full Mathematical model GERMINAN for the analysis of germination test results
title_fullStr Mathematical model GERMINAN for the analysis of germination test results
title_full_unstemmed Mathematical model GERMINAN for the analysis of germination test results
title_sort mathematical model germinan for the analysis of germination test results
description The objective of this work was to propose a simple mathematical model, called GERMINAN, for the analysis of germination test results obtained through the application of different treatments. To verify the validity of the proposed model, the results of germination tests of Vicia villosa under water and salinity stress, and of Panicum virgatum under water stress, were analyzed and compared with the hydrotime model. Germination tests were performed with the following treatments: control and water potentials of -0.3, -0.6, -0.8, -1, and -1.2 MPa for V. villosa, and -0.8, -1.0, -1.2 MPa for P. virgatum. The osmolytes used were polyethylene glycol (PEG) to simulate water stress and sodium chloride (NaCl) for salinity stress. The overall regression coefficients (R²) of the experimental and modeled results using the GERMINAN, Gummerson, and Bradford models for V. villosa under water stress were 0.981, 0.960, and 0.959, respectively; for salinity, 0.994, 0.963, and 0.962; while for P. virgatum under water stress, they were 0.949, 0.927, and 0.855, respectively. The GERMINAN model demonstrated greater alignment between the experimental and modeled values compared to those obtained with the Gummerson and Bradford models. Moreover, the proposed model can be easily applied using a scientific calculator or Excel program.
publisher Facultad de Ciencias Agropecuarias
publishDate 2025
url https://revistas.unc.edu.ar/index.php/agris/article/view/46850
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first_indexed 2026-02-04T19:01:51Z
last_indexed 2026-02-04T19:01:51Z
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