Genetic diversity of resin yielder Pinus merkusii from West Java - Indonesia revealed by microsatellites marker

International Conference on Agriculture, Environment, and Food Security

农业科学;生态环境科学

Susilowati, A.^1 ; Rachmat, H.H.^2 ; Siregar, I.Z.^3 ; Supriyanto^3

Faculty of Forestry, Universitas Sumatera Utara, Kampus USU, Jln. Tridharma Ujung No 1, Medan, Indonesia^1

FORDA, Ministry of Environment and Forestry, Jln Raya Gunung Batu, Bogor, Indonesia^2

Faculty of Forestry, Bogor Agricultural University, Jl. Lingkar Kampus, Bogor

16680, Indonesia^3

关键词: Genetic differentiation;    Genetic diversity;    Genetic structure;    Genetic variation;    Microsatellite markers;    Molecular marker;    Molecular variation;    Production trait;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/122/1/012060/pdf
DOI  :  10.1088/1755-1315/122/1/012060

来源: IOP

【 摘 要 】

Phenotypic observation of resin yielder Pinus merkusii showed higher value of genetic variation and narrow sense heritability values for resin production trait. This result indicated that genetic factor played as dominant aspect. However, further observation using molecular marker would still be needed to overcome the weakness of phenotypic observation. This study was carried out in order to characterize the genetic diversity and genetic differentiation of resin yielder genotype candidate P.merkusii using microsatellite markers and to characterize the genetic structure in the resin yielder populations. Seventy needle and inner bark samples were collected from resin yielder in Cijambu Seedling Seed Orchard (SSO) Sumedang, West Java and further divided into two genotype candidates (lower and high resin yielder). Seven microsatellites loci (pm01, pm04, pm05, pm07, pm08, pm09a, pm12, pde5 and SPAC 11.6) were used for detection of genetic diversity. Results showed that genetic diversity in higher resin candidates was (0.551), slightly different compared lower candidates (0.545). However, cluster analysis determined that higher resin yielder grouped with lower one. Molecular variation was found to be low among populations (21%) and high among individuals within the populations (79%). Private alleles were detected both in higher yielder and also normal population.