Estimación del área foliar de papaya (Carica papaya l.) basada en muestreo no destructivo

The papaya (Carica papaya L) is a very important crop in the Cordoba state, especially for the good fruit quality. This research was carried out at Montería at 13masl, 27.4ºC, annual rainfall of 1346.1mm, 84% relative humidity and 2180.2 hours annual sunlight, in order to obtain a model to estimate...

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Autores:
Carlos, Cardona Ayala
Hermes, Araméndiz Tatis
Carlos, Barrera Causil
Tipo de recurso:
Article of journal
Fecha de publicación:
2009
Institución:
Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
Repositorio:
Repositorio Institucional UDCA
Idioma:
spa
OAI Identifier:
oai:repository.udca.edu.co:11158/2307
Acceso en línea:
https://revistas.udca.edu.co/index.php/ruadc/article/view/649
Palabra clave:
Papaya
Estimación área foliar
Maradol roja
Modelos de regresión
Cultivos
Papayas
Fruticultura
Frutas
Rights
openAccess
License
Derechos Reservados - Universidad de Ciencias Aplicadas y Ambientales
Description
Summary:The papaya (Carica papaya L) is a very important crop in the Cordoba state, especially for the good fruit quality. This research was carried out at Montería at 13masl, 27.4ºC, annual rainfall of 1346.1mm, 84% relative humidity and 2180.2 hours annual sunlight, in order to obtain a model to estimate the plants leaf area, based on non-destructive sampling. A probability sampling procedure was used to select different size leaves and developmental stages from the upper, middle and lower canopy of adult plants of the red Maradol variety. Maximum leaf length and width, width of the middle third, fourth, fifth and two-thirds of leaf length, lobe width and midrib length of every lobe were registered with the purpose of identifying measures highly related to photosynthetic leaf area. The leaf area (Y) was measured based on the weight:area relation, from 30 leaves per canopy sample. Simple linear regression models and multiple linear regression were adjusted. A simple linear regression model was selected which independent variable representing the length of the midrib, next to the left next lobe and adjacent to the middle lobe (X). The adjusted model was: = -303,0742 + 31,2028X, R2= 0, 9335.