The abundance and diversity of Basidiomycetes fungi in sago bark waste

Abstract

This study was aimed to determine the abundance and diversity of Basidiomycetes fungi on sago bark waste. This research was conducted in January-February 2020 at Tondok Alla village, Telluwanua district, Palopo city (as location I) and Kalotok village, South Sabbang district, North Luwu regency (as location II). Climate data for the study period were obtained from the BMKG online website. The morphology of the fungi obtained from the sago bark waste was observed and identified morphologically for stalk color, cap structure and cap colour. The number of identified Basidiomycetes were analyzed to obtain relative abundance, species richness, evenness, Shannon Wiener diversity index, Simpson dominance index, and community similarity index. The climate observation results showed that, the average temperature was 27.74 (° C), 80.36% humidity, 12.37 mm of rainfall, and 4 hours / day of sun exposure. The fungi observation results showed that, several species of Basidiomycetes fungi was observed at both locations. Schizophyllum commune is the dominant species at both sites, and Ganoderma sp. the least. The species richness index, species evenness index, and diversity index at location I were higher than location II, while the Simpson dominance index was the highest in location II. Both locations have the same community structure based on the similarity index.

Ecological diversity of Phylloplane Mycoflora of medicinal plants in Naharlagun, Papumpare District, Arunachal Pradesh, India

“…The Shannon-Wiener diversity index considers relative abundance between species, species richness and evenness, and species distribution. However, the Shannon-Wiener diversity index focuses more on species richness (Odum, 1969;Obermaier, 2014;Kim et al, 2017;Fan et al, 2020;Kasi et al, 2021). The relative abundance/proportion was estimated as a percentage of the number of fungal species, operational taxonomic units (OTUs) or phylum divided by its total number.…”

Implementation of real-time image processing on bacterial cellulose formation using soybean-boiled wastewater with the variation of carbon sources during fermentation

“…Ruka et al [16] stated that of the various types of carbon sources, sucrose, mannitol, and glucose are carbon sources that produce consistently high yields of cellulose, regardless of the medium composition used. Other variables affecting BC formation besides carbon and nitrogen sources include BC layer thickness [7], fermentation time [19,20], pH [20,21], temperature [21], and turbidity conditions [22].…”