Jurnal Penelitian Kelapa Sawit
Vol 24 No 2 (2016): Jurnal Penelitian Kelapa Sawit

HUBUNGAN POLA CURAH HUJAN DAN PERFORMA TANAMAN KELAPA SAWIT DI PULAU SUMATRA DAN KALIMANTAN SELAMA EL NIÑO 2015

Iput Pradiko (Indonesian Oil Palm Research Institute (IOPRI))
Eko Novandy Ginting (Indonesian Oil Palm Research Institute (IOPRI))
Nuzul Hijri Darlan (Indonesian Oil Palm Research Institute (IOPRI))
Winarna Winarna (Indonesian Oil Palm Research Institute (IOPRI))
Hasril Hasan Siregar (Indonesian Oil Palm Research Institute (IOPRI))



Article Info

Publish Date
01 Aug 2016

Abstract

El Niño 2015 is one of the strongest El Niño. Drought stress due to El Niño could affect oil palm performances. This study was conducted to determine rainfall pattern and oil palm performance in Sumatra and Borneo Island during El Niño 2015. Data employed in this study is monthly rainfall data, Southern Oscillation Index (SOI) January-December 2015, andoil palm performances. Pearson correlation between SOI and rainfall data was used to analyze rainfall pattern, while oil palm performances were observed based on morphological conditions. Result shows that southern part of Sumatra and mostly part of Borneo suffer from more dry spell, dry month, and water deficit such as 37-133 days, 3-5 months, and 349-524 mm respectively. Analysis of rainfall pattern shows that Jambi, South Sumatra, Lampung, Central, South, and East Borneo are significantly (r ≥ +0,60) affected by El Niño 2015. Oil palms in southern part of Sumatra and mostly part of Borneo are suffer from drought stressmarked by the emergence of more than two spear fronds, appearing of many male flowers, malformations on bunches, fronds tend to hanging down, and lower fronds tend to dry.

Copyrights © 2016






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 ...