Jurnal Penelitian Kelapa Sawit
Vol 24 No 3 (2016): Jurnal Penelitian Kelapa Sawit

KETELUSURAN GENETIK KETURUNAN KELAPA SAWIT (Elaeis guineensis Jacq.) MENGGUNAKAN SIMPLE SEQUENCE REPEAT (SSR)

Rokhana Faizah (Indonesian Oil Palm Research Institute)
Sri Wening (Indonesian Oil Palm Research Institute)
Yurna Yenni (Indonesian Oil Palm Research Institute)
Sujadi Sujadi (Indonesian Oil Palm Research Institute)



Article Info

Publish Date
01 Dec 2016

Abstract

Progenies traceability status becomes an important activity in the oil palm breeding program, especially to obtain propriety of individual and progenies population with their parents. This study is concerned to analyze genetic traceability based on pattern and allele size of their parent using Simple Sequence Repeat (SSR) markers. There were 90 palms from 7 progenies populations in the AD02S, AD03S Adolina and MA22S Marihat Estate PT. Perkebunan Nusantara IV used in this research. Leaf and pollen samples were used to get genomic DNA. Then, DNA genomic was amplified using multiplexing method of 8 SSR markers and fluorescence labels of 6-FAM, HEX, and NED. Fragment analysis and extracted genotype data was obtained using Gene MarkerĀ® versi 2.4.0 Soft GeneticsĀ® LLC program. Genetic traceability analysis was based on alelle segregation pattern of Mendelian Law. The results described inappropriate alleles 4 individuals from 3 progenies (N, P, and S). Those individuals were palmrow of 22-30 in the AD02S; 29-27 in the MA22S; 9-22 and 9-28 in the AD02S. Other 4 progenies showed an appropriate segregation of genotype with their parents, which are crosses number of M, Q, R, and O.

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 ...