Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions

Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions

This work aimed to describe the morphological diversity of the UN Cotové papaya variety to identify outstanding plants that can be used to obtain a new local cultivar. 18 individuals were selected, and the multivariate non-hierarchical cluster technique analyzed data. A Polynomial regression model was carried out to describe growth as a function of growing degree days. The ANOVA identified significant differences between plants for most morphological variables. The Pearson correlation showed linear dependence; all the variables had a high correlation (higher than 0.82) with plant height. The Hopkins and Gap statistic determined two clusterings: Gropu "D" with higher development and group "A" with less development for all parameters. Second-order polynomial model were the best fit for the plant height, and third-order models were the best fit for the others. The non-linear functional models were not significant for the evaluated variables, presenting "Lack of Fit" values greater than 0.05. The results provided information for selecting plants with outstanding characteristics that can be used in the papaya breeding program.

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Main Authors: Loaiza Ruiz, Ruby Alejandra, Otalvaro Gutiérrez , Julián David, Cartagena Valenzuela , José Régulo, Barrera Sanchez, Carlos Felipe, Córdoba Gaona, Oscar de Jesús
Format: Digital revista
Language:eng
Published: Universidad Nacional de Colombia - Sede Medellín - Facultad de Ciencias Agrarias 2023
Online Access:https://revistas.unal.edu.co/index.php/refame/article/view/101788
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spelling oai:www.revistas.unal.edu.co:article-1017882023-09-26T17:26:30Z Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions Diversidad morfológica de la variedad UN Cotové (Carica papaya L.) bajo las condiciones del bosque seco tropical Loaiza Ruiz, Ruby Alejandra Otalvaro Gutiérrez , Julián David Cartagena Valenzuela , José Régulo Barrera Sanchez, Carlos Felipe Córdoba Gaona, Oscar de Jesús Morphological adaptations Physiological breeding plant growth Adaptaciones morfológicas Fitomejoramiento fisiologico Crecimiento vegetal This work aimed to describe the morphological diversity of the UN Cotové papaya variety to identify outstanding plants that can be used to obtain a new local cultivar. 18 individuals were selected, and the multivariate non-hierarchical cluster technique analyzed data. A Polynomial regression model was carried out to describe growth as a function of growing degree days. The ANOVA identified significant differences between plants for most morphological variables. The Pearson correlation showed linear dependence; all the variables had a high correlation (higher than 0.82) with plant height. The Hopkins and Gap statistic determined two clusterings: Gropu "D" with higher development and group "A" with less development for all parameters. Second-order polynomial model were the best fit for the plant height, and third-order models were the best fit for the others. The non-linear functional models were not significant for the evaluated variables, presenting "Lack of Fit" values greater than 0.05. The results provided information for selecting plants with outstanding characteristics that can be used in the papaya breeding program. Este trabajo tuvo como objetivo describir la diversidad morfológica de la variedad de papaya UN Cotové para identificar plantas sobresalientes que puedan ser utilizadas como parte de un programa de mejoramiento para obtener un nuevo cultivar local. Se seleccionaron 18 individuos y se analizaron los datos mediante la técnica de conglomerados no jerárquicos multivariados. Se llevó a cabo un modelo de regresión polinomial para describir el crecimiento en función de los grados dias acumulado. El ANOVA identificó diferencias significativas entre plantas para la mayoría de las variables morfológicas. La correlación de Pearson mostró dependencia lineal; y todas las variables presentaron una alta correlación (superior a 0,82) con la altura de la planta. Los estadisticos de Hopkins y Gap determinaron dos agrupamientos: Grupo “D” con plantas de mayor desarrollo y grupo “A” plantas con menor desarrollo para todos los parámetros. Los modelos polinomiales de segundo orden fueron los que mejor se ajustaron a la altura de la planta, y los modelos de tercer orden con mejor ajuste para el resto de variables. Los modelos funcionales no lineales no fueron significativos para las variables evaluadas, presentando valores de "falta de ajuste" superiores a 0,05. Los resultados brindan información para la selección de plantas con características sobresalientes que pueden ser utilizadas en el programa de mejoramiento de papaya. Universidad Nacional de Colombia - Sede Medellín - Facultad de Ciencias Agrarias 2023-05-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion text/xml application/pdf https://revistas.unal.edu.co/index.php/refame/article/view/101788 10.15446/rfnam.v76n2.101788 Revista Facultad Nacional de Agronomía Medellín; Vol. 76 No. 2 (2023); 10275-10286 Revista Facultad Nacional de Agronomía Medellín; Vol. 76 Núm. 2 (2023); 10275-10286 Revista Facultad Nacional de Agronomía Medellín; v. 76 n. 2 (2023); 10275-10286 2248-7026 0304-2847 eng https://revistas.unal.edu.co/index.php/refame/article/view/101788/89905 https://revistas.unal.edu.co/index.php/refame/article/view/101788/88412 Copyright (c) 2023 Revista Facultad Nacional de Agronomía Medellín https://creativecommons.org/licenses/by-nc-sa/4.0
institution UNAL
collection OJS
country Colombia
countrycode CO
component Revista
access En linea
databasecode rev-refame-co
tag revista
region America del Sur
libraryname Sistema Nacional de Bibliotecas de la UNAL
language eng
format Digital
author Loaiza Ruiz, Ruby Alejandra
Otalvaro Gutiérrez , Julián David
Cartagena Valenzuela , José Régulo
Barrera Sanchez, Carlos Felipe
Córdoba Gaona, Oscar de Jesús
spellingShingle Loaiza Ruiz, Ruby Alejandra
Otalvaro Gutiérrez , Julián David
Cartagena Valenzuela , José Régulo
Barrera Sanchez, Carlos Felipe
Córdoba Gaona, Oscar de Jesús
Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions
author_facet Loaiza Ruiz, Ruby Alejandra
Otalvaro Gutiérrez , Julián David
Cartagena Valenzuela , José Régulo
Barrera Sanchez, Carlos Felipe
Córdoba Gaona, Oscar de Jesús
author_sort Loaiza Ruiz, Ruby Alejandra
title Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions
title_short Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions
title_full Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions
title_fullStr Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions
title_full_unstemmed Morphological diversity of the UN Cotové papaya (Carica papaya L.) variety grown under tropical dry forest conditions
title_sort morphological diversity of the un cotové papaya (carica papaya l.) variety grown under tropical dry forest conditions
description This work aimed to describe the morphological diversity of the UN Cotové papaya variety to identify outstanding plants that can be used to obtain a new local cultivar. 18 individuals were selected, and the multivariate non-hierarchical cluster technique analyzed data. A Polynomial regression model was carried out to describe growth as a function of growing degree days. The ANOVA identified significant differences between plants for most morphological variables. The Pearson correlation showed linear dependence; all the variables had a high correlation (higher than 0.82) with plant height. The Hopkins and Gap statistic determined two clusterings: Gropu "D" with higher development and group "A" with less development for all parameters. Second-order polynomial model were the best fit for the plant height, and third-order models were the best fit for the others. The non-linear functional models were not significant for the evaluated variables, presenting "Lack of Fit" values greater than 0.05. The results provided information for selecting plants with outstanding characteristics that can be used in the papaya breeding program.
publisher Universidad Nacional de Colombia - Sede Medellín - Facultad de Ciencias Agrarias
publishDate 2023
url https://revistas.unal.edu.co/index.php/refame/article/view/101788
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