Fish is highly susceptible to deterioration without any preservative or processing measures and requires proper handling and preservation to increase its shelf life. Smoked fish is traditionally processed by fish through an open process of hot smoked. Smoked fish process in Indonesia, especially in Papua, is still carried out traditionally with capital and small business scale so that the use of tools is still simple. The aim of this research was to study the proximate composition of smoked yellowfin fish, which were taken from different producers in Youtefa Market, Jayapura City, Papua. The analysis on smoked yellowfin fish applied of proximate analysis (moisture level, ash level, fat level, and protein level). The result of this research showed that the highest moisture level was EK.K sample with 67.17%. The highest value of ash level was EK.T1 sample with 8.15%. The highest of fat and protein level were EK.K sample, with 18.63% and 6.42%, respectively. Key words: Smoked yellowfin, proximate analysis.
Wamena is notable for producing and exporting high-quality coffee. However, a molecular method based on its polymorphism and not affected by external factors is required since morphological observations alone are frequently insufficient for identifying the coffee. The objective of this study is to identify Wamena Arabica coffee in the Jayawijaya District using simple sequence repeats (SSRs) molecular markers. This research involved several stages, including DNA isolation and purification, PCR SSR amplification with 5 primers, polymorphism, and heterozygosity level analysis. The results analysis proved that 30 alleles of 32 coffee genotypes were successfully amplified, with fragment sizes ranging from 176 to 553bp. The Car M052 locus (0.29%) had the least polymorphism with only two alleles, while the CarM101 locus (0.82%) had the most with 12 alleles, that high and low polymorphism indicated a measure of PIC scores. Heterozygosity analysis showed that the coffee samples were highly heterozygous. And based on the results of the bootstrap analysis, the phenogram shows that the coffee samples are divided into six clusters, with a cophenetic correlation coefficient (r) of 0.948 (excellent fit). This study proved that all SSR loci succeeded in amplifying 30 alleles and could be identified molecularly based on the genetic variation of the Wamena Arabica coffee genotypes in Papua. It seems highly possible that there is a mix of traits through gene flow and exchange between coffee genotypes, and the heterozygosity in the Arabica population on plantations. As a result, it is very important further analysis to confirm the findings.
The research was conducted in June to August 2022 in Ubiyau Village, Yanamaa Village and Yuwanain Village, Arso District, Keerom, Papua. The aim of the study was to determine the impact of forest conversion to oil palm plantations on the diversity and abundance of the Superfamily Papilionoidea butterfly. The line transect count method was used for sampling butterflies with a transect length of 1500 m at each study area. Sampling was carried out along a line transect in an imaginary box measuring 10 x 10 x 10 m which was carried out on sunny days from 09.00 am to 14.00 pm. The highest species diversity of the Superfamily Papilionoidea was found in Secondary Forest (HS), namely 70 species consisting of Papilionidae (8 species), Pieridae (5 species), Lycaenidae (21 species) and Nymphalidae (36 species). There were 42 species of butterflies recorded from Non-Productive Oil palm Plantations consisting of Papilionidae (5 species), Pieridae (4 species), Lycaenidae (11 species) and Nymphalidae (22 species). While the lowest number of butterfly species was encountered in Productive Oil Palm Plantations namely 32 species consisting of Papilionidae (5 species), Pieridae (3 species), Lycaenidae (8 species) and Nymphalidae (16 species). These data indicated that conversion of secondary forest to oil palm plantations reduced butterfly species by around 40-53%. The highest Shannon-Wiener Diversity Index (H') and Margalef Diversity Index (Dmg) values were found in secondary forest (H'=3.4; Dmg =13.7) followed by Non-Productive Oil Palm Plantations (H'=2.5; Dmg=7.2) and Productive Oil Palm Plantations (H=2.0; Dmg=6.1). The highest species similarity was between Secondary Forest and Productive Oil Palm Plantations with Sorensen Index value IS=60%, followed by Non-Productive Oil Palm Plantations and Productive Oil Palm Plantations (IS=51%) and the lowest species similarity index was between Secondary Forests and Non-Productive Oil Palm Plantations (IS = 46%). In Secondary Forest the composition of the number of individuals per species tends to be more evenly distributed compared to oil palm plantations. Forest conversion to Oil Palm Plantations has a negative impact on butterfly species diversity of the Superfamily Papilionoidea. The lost species that were not found in oil palm plantations were forest specialist species with small range sizes and niches as well as specific diets that were only found in forest. Key words: Papilionidae; primary forest; Pieridae; Nymphalidae; Lycaenidae; Keerom.
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