Jurnal Penelitian Kelapa Sawit
Vol 27 No 1 (2019): Jurnal Penelitian Kelapa Sawit

DAMPAK PEMBERIAN KALIUM DAN CEKAMAN KEKERINGAN TERHADAP SERAPAN HARA DAN PRODUKSI BIOMASSA BIBIT KELAPA SAWIT (Elaeis gueenensis Jacq.)

Wan Riski Fauzi (Pusat Penelitian Kelapa Sawit)
Eka Tarwaca Susila Putra (Universitas Gadjah Mada)



Article Info

Publish Date
24 Apr 2019

Abstract

Droght stress is the main limiting factor on growth and production of oil palm. Beside used tolerance planting materials, increasing nutrient status especially potassium also influences increasing plant tolerance to drought stress. This research was a simulation study in a greenhouse to determine the effect of potassium and drought stress on oil palm seedling. The research was conducted in Desa Madurejo, Kecamatan Prambanan, Kabupaten Sleman, Region of Yogyakarta Indonesia by random complete block design. The treatment consists of two factors, first factor were potassium factor consist of 0%, 50%, 150%, and 200% standart dosage and second factor were drought stress consist of three levels, field capacity (FTSW 1), moderate drought stress (FTSW 0.35) and severe (FTSW 0.15) with three replications. The results showed that fertilizing potassium increased the content and uptake of K and Cl in plants, increased the uptake of Mg roots, reduce the N content of the roots and reduce the content of Ca and Mg in plant canopy. Drought stress had an impact on decreasing the content and uptake of N, P, and Cl in plants as well as decreasing the dry weight of plant biomass. The provision of Potassium has not affected the production of biomass of oil palm seedlings in drought conditions.

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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 ...