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The role of Arbuscular Mycorrhizal Fungi (AMF) in the process of rehabilitation of degraded land is very important, including the handling of sand tailings. In the rehabilitation process, utilizing the AMF isolates from the tailings area will be easier to adapt to the habitat that will be rehabilitated. The purpose of this study was to determine AMF that associated with Brachiaria precumbens (Poaceae) derived from the tailings area in Timika, Papua, and its potential to the growth of maize (Zea mays). The methods used to determine the presence of AMF were a survey and wet sieving methods, while the calculation of percent colonization was done by slide method. The compatibility test and effectiveness of AMF inoculation on the maize growth were conducted by completely randomized design (CRD) with 4 treatments: M0: control (without mycorrhiza); M1: Clariodeoglomus etunicatum BGR; M2: C. lamellosum L1A01S; M3: C. etunicatum L3A12D each with eight replications. The results showed that the presence of the AMF in the rhizosphere of B. precumbens was found in the tailings deposition area Modified Ajkwa Deposition Area (ModADA) of a gold mine in Timika. AMF percent colonization at the root reached 73.3%, while the number of spores in the rhizosphere was 8-25 per 10 g samples of soil and increased to reach an average of 49.6 spores per 10 g soil samples by trap methods. Based on the morphological identification, AMF found in the B. precumbens rhizosphere were identified as genus Glomus, Scutellospora, Acaulospora, and Claroideoglomus, whereas based on molecular identification, two isolates (L1A01S and L3A12D) were identified as C. lamellosum L1A01S and C. etunicatum L1A12D. The compatibility test showed that the AMF was able to increase the growth of maize, and significantly affected plant height, leaf area, and relative growth rate. C. lamellosum L1A01S derived from the tailings had a better effect than C. etunicatum L3A12D and C. etunicatum BGR.

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Abstract. Indigo leaves (Indigofera tinctoria L.) are utilized as a source of batik dye in Java and Madura islands, Indonesia. Batik makers from the islands collect indigo leaves from wild plants. Continuous collection of wild plants from their natural habitat may decrease their diversity. The present research was conducted to analyze the genetic diversity and population structure of I. tinctoria L. from Java and Madura. 55 indigo accessions were collected from 10 locations in Java and Madura. The indigo DNA was extracted and amplified using 15 ISSR primers. A total of 123 bands showed 50-90% polymorphic loci. PCA and UPGMA were used to analyze the data. All indigo accessions were clustered into 4 groups at a 60% similarity coefficient: a group consisting of Madura accessions, a group consisting of East Java accessions, a group consisting of Central Java accessions, and a group consisting of West Java accessions. Accessions collected from the same or adjacent populations tended to show similar ISSR characteristics. The genetic diversity of indigo in Java and Madura islands is relatively high (%P = 68.3), but the diversity residing within each population is lower (37%) than that between populations (63%).

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Abstract. Natawijaya A, Ardie SW, Syukur M, Maskromo I, Hartana A, Sudarsono S. 2019. Genetic structure and diversity between and within African and American oil palm species based on microsatellite markers. Biodiversitas 20: 1233-1240. The genus Elaeis consists of only two species, Elaeis guineensis Jacq. (the African oil palm species) and E. oleifera (HBK) Cortes (the American oil palm species). E. guineensis (E.g) is widely cultivated in southeast Asia and Africa, whereas E. oleifera (E.o) is naturally existed and cultivated in Central and South America. The objectives of this research were to analyze genetic diversity of eight groups of E.g and two groups of E.o using co-dominant genetic markers (SSRs) and evaluate their genetic structures. A total of 27 SSR loci was used to genotype a total of 128 accessions of African oil palm species (E.g) belonging to three different types (Dura, Pisifera and Tenera) and eight genetic backgrounds (Dumpy Dura and Deli Dura; Avros, Dumpy Avros, Binga, and Angola Pisifera; and Angola and Dumpy Avros Tenera) and 64 accessions of E.o collected from two different regions (Tefe and Manaus). The genotype data were used to calculate the population genetic diversity and structures for each oil palm species using the appropriate software. Results of the analysis indicated although they belonged to two different species, E.g and E.o shared many of the same SSR alleles in their genome and only contain few species-specific SSR alleles. Most of the evaluated genetic parameters were similar between E.g and E.o oil palm species but E.o has higher average number of effective allele than that of E.g. The calculated genetic variance is mostly belonged to the within-species variance source while the between species is relatively small. The phylogenetic tree and structure analysis reveal the high genetic variability among the evaluated oil palm groups which would be beneficial for future breeding program at Mekarsari Research Station. The tested E.o specific alleles were effective for identifying introgression lines between Eo × E.g // E.g carrying the E.o chromosome fragments. Therefore, these E.o specific alleles could be used in oil palm backcrossing program to monitor the introgression process.

In this study, microsatellite markers were used to identify Musa genomic groups and to investigate genetic relationships among banana accessions from various areas in Indonesia. One hundred sixteen banana accessions were analysed using MaCIR108 and Ma-3-90 primer pairs for identifying genomic groups. Six additional SSR primer pairs were used for genetic relationship analysis. The results showed that 73 accessions should be classified in the AA/AAA and AAA genomic groups, two accessions in the BB genomic group, 21 accessions in the AAB genomic group and 20 accessions in the ABB genomic group. Ninety-nine out of the 116 accessions were unique genotypes while the rest were synonyms. The dendrogram generated by UPGMA analysis separated the 116 banana accessions into two main clusters with a similarity of 0.13. All banana accessions belonging to the BB, ABB and AAB genomic groups clustered in the first main cluster, together with the majority of the accessions containing the pure A genome. The second main cluster was formed of 11 accessions of AA/AAA and AAA genome. Within the first main cluster, the accessions containing the B genome were clustered according to their genomic group, except four AAB accessions clustering with accessions containing the A genome alone. The ABB genomic group appeared closer to the BB than to the AAB genomic group. The AA and AAA banana accessions could not be significantly distinguished, although the majority of accessions tended to be clustered according to their ploidy level.