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...
- Autores:
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_6798
- Fecha de publicación:
- 2020
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/16870
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955
https://repositorio.uptc.edu.co/handle/001/16870
- Palabra clave:
- 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
- Rights
- License
- Copyright (c) 2020 Revista Colombiana de Ciencias Hortícolas
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| dc.title.en-US.fl_str_mv |
Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer |
| dc.title.es-ES.fl_str_mv |
Ajuste del modelo logístico para caracteres productivos de cultivares de lechuga en condiciones de verano |
| title |
Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer |
| spellingShingle |
Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer 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 |
| title_short |
Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer |
| 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_sort |
Fitting a logistic growth model to yield traits in lettuce cultivars growing in summer |
| dc.subject.en-US.fl_str_mv |
Lactuca sativa Plant models Crop modelling Non-linear models Vegetable crop Vegetables |
| 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 |
| dc.subject.es-ES.fl_str_mv |
Lactuca sativa Modelos vegetales Modelación de cultivos Modelos no lineales Cultivo de hortalizas Hortalizas |
| 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. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2024-07-08T14:42:37Z |
| dc.date.available.none.fl_str_mv |
2024-07-08T14:42:37Z |
| dc.date.none.fl_str_mv |
2020-01-01 |
| dc.type.en-US.fl_str_mv |
Text |
| dc.type.es-ES.fl_str_mv |
Texto |
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info:eu-repo/semantics/article |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6798 |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/version/c_970fb48d4fbd8a382 |
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http://purl.org/coar/resource_type/c_6798 |
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publishedVersion |
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https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955 10.17584/rcch.2020v14i1.8955 |
| dc.identifier.uri.none.fl_str_mv |
https://repositorio.uptc.edu.co/handle/001/16870 |
| url |
https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955 https://repositorio.uptc.edu.co/handle/001/16870 |
| identifier_str_mv |
10.17584/rcch.2020v14i1.8955 |
| dc.language.none.fl_str_mv |
eng |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955/9283 |
| dc.rights.en-US.fl_str_mv |
Copyright (c) 2020 Revista Colombiana de Ciencias Hortícolas |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf299 |
| rights_invalid_str_mv |
Copyright (c) 2020 Revista Colombiana de Ciencias Hortícolas https://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf299 http://purl.org/coar/access_right/c_abf2 |
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application/pdf |
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Brazil; RS; Santa Maria |
| dc.coverage.es-ES.fl_str_mv |
Brazil; RS; Santa Maria |
| dc.publisher.en-US.fl_str_mv |
Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC |
| dc.source.en-US.fl_str_mv |
Revista Colombiana de Ciencias Hortícolas; Vol. 14 No. 1 (2020); 104-114 |
| dc.source.es-ES.fl_str_mv |
Revista Colombiana de Ciencias Hortícolas; Vol. 14 Núm. 1 (2020); 104-114 |
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Revista Colombiana de Ciencias Hortícolas; Vol. 14 No 1 (2020); 104-114 |
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Revista Colombiana de Ciencias Hortícolas; V. 14 N. 1 (2020); 104-114 |
| dc.source.pt-BR.fl_str_mv |
Revista Colombiana de Ciencias Hortícolas; v. 14 n. 1 (2020); 104-114 |
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2422-3719 2011-2173 |
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Universidad Pedagógica y Tecnológica de Colombia |
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Repositorio Institucional UPTC |
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repositorio.uptc@uptc.edu.co |
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1839633829756665856 |
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2020-01-012024-07-08T14:42:37Z2024-07-08T14:42:37Zhttps://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/895510.17584/rcch.2020v14i1.8955https://repositorio.uptc.edu.co/handle/001/16870The 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.application/pdfengengSociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTChttps://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/8955/9283Copyright (c) 2020 Revista Colombiana de Ciencias Hortícolashttps://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf299http://purl.org/coar/access_right/c_abf2Revista Colombiana de Ciencias Hortícolas; Vol. 14 No. 1 (2020); 104-114Revista Colombiana de Ciencias Hortícolas; Vol. 14 Núm. 1 (2020); 104-114Revista Colombiana de Ciencias Hortícolas; Vol. 14 No 1 (2020); 104-114Revista Colombiana de Ciencias Hortícolas; V. 14 N. 1 (2020); 104-114Revista Colombiana de Ciencias Hortícolas; v. 14 n. 1 (2020); 104-1142422-37192011-2173Lactuca sativaPlant modelsCrop modellingNon-linear modelsVegetable cropVegetablesLactuca sativaModelos vegetalesModelación de cultivosModelos no linealesCultivo de hortalizasHortalizasFitting a logistic growth model to yield traits in lettuce cultivars growing in summerAjuste del modelo logístico para caracteres productivos de cultivares de lechuga en condiciones de veranoTextTextoinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6798http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a382http://purl.org/coar/version/c_970fb48d4fbd8a85Brazil; RS; Santa MariaBrazil; RS; Santa MariaCarini, FernandaCargnelutti Filho, AlbertoSouza, Jéssica Maronez dePezzini, Rafael VieiraUbessi, CassianeKreutz, Márcio André001/16870oai:repositorio.uptc.edu.co:001/168702025-07-18 11:49:07.574https://creativecommons.org/licenses/by-nc/4.0/metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co |