Jurnal Penelitian Kelapa Sawit
Vol 28 No 1 (2020): Jurnal Penelitian Kelapa Sawit

Analisis Sebaran Serabut Vaskular dan Sifat Fisis Batang Kelapa Sawit Varietas DxP pada Berbagai Zona dan Ketinggian Batang

Ayu Wulandari (Indonesian Oil Palm Research Institute)
Erwinsyah Erwinsyah (Indonesian Oil Palm Research Institute)



Article Info

Publish Date
01 Apr 2020

Abstract

In an attempt to obtain a homogenous board density from the palm trunk, this research was carried out to analyze the distribution of vascular bundles and the physical properties of the oil palm trunk (moisture content, density, and specific gravity) in various zones and trunk heights. Oil palm trunk samples were used from 29 years old palm (Planted on 1991) which acquired from Aek Pancur Experimental plantation, Indonesian Oil Palm Research Institute (IOPRI). The oil palm trunk sample was cut based on the trunk zones (peripheral, central, and inner), and trunk heights (1, 2, 3, 4, 5, 6, 7 m). The observed parameters were vascular bundles, moisture content, density, and specific gravity. The results showed that the highest number of vascular bundles in the peripheral zone (73.66 vb/cm2). In addition that, the highest density and specific gravity also found in peripheral zone with an average 0,73 gram/cm3 and 0.53, whereas the highest moisture content was found in the inner zone with an average value 141%(w/w). Furthermore, the statistical analysis ((ANOVA and regression test (R2)) in this study showed that the trunk zone factor was more significant than the trunk height for all observed parameters (distribution of vascular bundles, moisture content, density and specific gravity).

Copyrights © 2020






Journal Info

Abbrev

jpks

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

Indonesian Journal of Oil Palm Research Volume 26 Number 2 Year 2018 is published by presenting articles: Utilization of candlenut shell charcoal (Aleurites moluccana (L.) Willd.) as adsorben on refinery of Crude Palm Oil (CPO); Application of an Artificial Neural Network (ANN) model for predicting ...