Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models
Seed germination is the fundamental phenomenon that determines the successful growth and development of each plant species, even more so in Cinchona officinalis, which is a forest species that stands out for its medicinal importance. The objective of this work was to determine the best sigmoidal mat...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Journal of Agronomy |
| Online Access: | http://dx.doi.org/10.1155/2023/1360608 |
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| author | Lenin Quiñones-Huatangari Annick Estefany Huaccha-Castillo Franklin Hitler Fernandez-Zarate Eli Morales-Rojas Jenny Del Milagro Marrufo-Jiménez Leslie Lizbeth Mejía-Córdova |
| author_facet | Lenin Quiñones-Huatangari Annick Estefany Huaccha-Castillo Franklin Hitler Fernandez-Zarate Eli Morales-Rojas Jenny Del Milagro Marrufo-Jiménez Leslie Lizbeth Mejía-Córdova |
| author_sort | Lenin Quiñones-Huatangari |
| collection | DOAJ |
| description | Seed germination is the fundamental phenomenon that determines the successful growth and development of each plant species, even more so in Cinchona officinalis, which is a forest species that stands out for its medicinal importance. The objective of this work was to determine the best sigmoidal mathematical model describing the germination of C. officinalis. For the germination test, a completely randomized design was used with six treatments and three replicates per treatment; 100°C. officinalis seeds were used per replicate, and 1800 seeds were needed in the trial. Gompertz sigmoidal, logistic, and von Bertalanffy models were used to analyse the germination curves of C. officinalis. The results of these adjustments were analysed based on the graphic representation and statistical criteria (Akaike’s value (AIC), R2, and Rai2). The results suggest that the Gompertz and logistic models have a better graphic representation, showing values close to those observed, while the von Bertalanffy model shows negative germination values. According to the statistical criteria, the lowest AIC and the highest were obtained. R2 and Rai2 with the Gompertz model, followed by the logistic model and von Bertalanffy. It is concluded that the Gompertz model can represent the shape of the germination curves of C. officinalis for the six treatments of the test. |
| format | Article |
| id | doaj-art-54f40fc8ebf44e5cbd18aae9cdec49ac |
| institution | Kabale University |
| issn | 1687-8167 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Agronomy |
| spelling | doaj-art-54f40fc8ebf44e5cbd18aae9cdec49ac2025-02-03T06:04:51ZengWileyInternational Journal of Agronomy1687-81672023-01-01202310.1155/2023/1360608Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical ModelsLenin Quiñones-Huatangari0Annick Estefany Huaccha-Castillo1Franklin Hitler Fernandez-Zarate2Eli Morales-Rojas3Jenny Del Milagro Marrufo-Jiménez4Leslie Lizbeth Mejía-Córdova5Instituto de Ciencia de DatosInstituto de Ciencia de DatosUniversidad Nacional Autonoma de ChotaInstituto de Ciencia de DatosFacultad de IngenieriaFacultad de IngenieriaSeed germination is the fundamental phenomenon that determines the successful growth and development of each plant species, even more so in Cinchona officinalis, which is a forest species that stands out for its medicinal importance. The objective of this work was to determine the best sigmoidal mathematical model describing the germination of C. officinalis. For the germination test, a completely randomized design was used with six treatments and three replicates per treatment; 100°C. officinalis seeds were used per replicate, and 1800 seeds were needed in the trial. Gompertz sigmoidal, logistic, and von Bertalanffy models were used to analyse the germination curves of C. officinalis. The results of these adjustments were analysed based on the graphic representation and statistical criteria (Akaike’s value (AIC), R2, and Rai2). The results suggest that the Gompertz and logistic models have a better graphic representation, showing values close to those observed, while the von Bertalanffy model shows negative germination values. According to the statistical criteria, the lowest AIC and the highest were obtained. R2 and Rai2 with the Gompertz model, followed by the logistic model and von Bertalanffy. It is concluded that the Gompertz model can represent the shape of the germination curves of C. officinalis for the six treatments of the test.http://dx.doi.org/10.1155/2023/1360608 |
| spellingShingle | Lenin Quiñones-Huatangari Annick Estefany Huaccha-Castillo Franklin Hitler Fernandez-Zarate Eli Morales-Rojas Jenny Del Milagro Marrufo-Jiménez Leslie Lizbeth Mejía-Córdova Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models International Journal of Agronomy |
| title | Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models |
| title_full | Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models |
| title_fullStr | Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models |
| title_full_unstemmed | Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models |
| title_short | Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models |
| title_sort | analysis of germination curves of cinchona officinalis l rubiaceae using sigmoidal mathematical models |
| url | http://dx.doi.org/10.1155/2023/1360608 |
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