Models to estimate the bunch dry weight in african oil palm (elaeis guineensis jacq.), american oil palm (elaeis oleifera h.b.k. cortes) and the interspecific hybrid (e. oleifera x e. guineensis)

Statistical models were used to estimate the bunch dry weight through indirect nondestructive methods in African oil palm (Elaeis guineensis) American oil palm (Elaeis oleifera) and the interspecific hybrid (E. oleifera x E. guineensis); and compared with the formula proposed by Corley. The studies...

Full description

Autores:
Contreras B, Ángela P.
Cayón S., Gerardo
Corchuelo R., Germán
Tipo de recurso:
Article of journal
Fecha de publicación:
2012
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/40505
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/40505
http://bdigital.unal.edu.co/30602/
Palabra clave:
oil palm
plant physiology
growth parameters
statistical models.
palmas oleaginosas
fisiología de plantas
parámetros de crecimiento
modelos estadísticos.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:Statistical models were used to estimate the bunch dry weight through indirect nondestructive methods in African oil palm (Elaeis guineensis) American oil palm (Elaeis oleifera) and the interspecific hybrid (E. oleifera x E. guineensis); and compared with the formula proposed by Corley. The studies were conducted at Santa Barbara and Chaparral-Cuernavaca on the Unipalma plantation, located in the eastern palm region of Colombia. Ten palms were selected for each group and 30 bunches were sampled for six months. Polynomial and exponential statistical models were postulated, with the best being linear without intercept. The results confirm and validate the usefulness of the model formulated to estimate the bunch dry weight of African oil palm (E. guineensis), American oil palm (E. oleifera) and the interspecific hybrid (OxG); however, it proved more convenient to use the models proposed in this study because they are tailored to the specific environmental conditions of the eastern palm region of Colombia.