CORRELATION BETWEEN RAINFALL PATTERN AND OIL PALM PERFORMANCE IN SUMATRA AND BORNEO ISLAND DURING EL NIÑO 2015

##plugins.themes.bootstrap3.article.main##

Iput Pradiko
Eko Novandy Ginting
Nuzul Hijri Darlan
Winarna Winarna
Hasril Hasan Siregar

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, and
oil 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 stress
marked 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.

##plugins.generic.usageStats.downloads##

##plugins.generic.usageStats.noStats##

##plugins.themes.bootstrap3.article.details##

Section
Articles
Author Biographies

Iput Pradiko, Indonesian Oil Palm Research Institute (IOPRI)

Soil Science & Agronomy Research Group

Eko Novandy Ginting, Indonesian Oil Palm Research Institute (IOPRI)

Soil Science & Agronomy Research Group

Nuzul Hijri Darlan, Indonesian Oil Palm Research Institute (IOPRI)

Soil Science & Agronomy Research Group

Winarna Winarna, Indonesian Oil Palm Research Institute (IOPRI)

Soil Science & Agronomy Research Group

Hasril Hasan Siregar, Indonesian Oil Palm Research Institute (IOPRI)

Soil Science & Agronomy Research Group