Published

2023-05-01 — Updated on 2023-05-01

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

Keywords:

Morphological adaptations, Physiological breeding, plant growth (en)
Adaptaciones morfológicas , Fitomejoramiento fisiologico, Crecimiento vegetal (es)

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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.

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