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In Silico Approach of DNA Barcoding in Cattleya Orchid using nrDNA and matK Markers Wiharyanti, Risma; Mercuriani, Ixora Sartika; Yulianti, Evy; Kuswandi, Paramita Cahyaningrum
Al-Hayat: Journal of Biology and Applied Biology Vol. 8 No. 1 (2025)
Publisher : Fakultas Sains dan Teknologi, UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/ah.v8i1.25671

Abstract

The Cattleya genus is one of the most commercially valuable orchids. Identifying these orchids based on morphological and phenotypic traits has been challenging. Accurate identification is crucial for distinguishing between native and hybrid species and determining the protected status of certain Cattleya orchids. This research explored potential markers using nrDNA and matK locus for DNA barcoding of the Cattleya genus through an in silico approach. All sequences were collected from the NCBI and analyzed using ClustalX2 for alignment, BioEdit for conversion, and MEGA11 for phylogenetic tree construction. The results revealed that nrDNA showed higher genetic variation compared to matK. However, neither phylogenetic tree could discriminate species precisely, as some Cattleya species were positioned closer to the outgroup. These findings can be used as a reference to support identification of Cattleya using molecular marker. Keywords: Cattleya, matK, molecular barcode, nrDNA
Efektivitas PGPR dan Nanosilika terhadap Pertumbuhan dan Hasil Kedelai Varietas Anjasmoro di Tanah Regosol Umami, Arif; Wiharyanti, Risma
Jurnal Agro Wiralodra Vol. 8 No. 2 (2025): Jurnal Agro Wiralodra
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/agrowiralodra.v8i2.149

Abstract

Soybean production in Indonesia currently does not meet national demand. However, there is potential to increase production by utilizing sub-optimal lands, such as Regosol soils. Regosol soils are characterized by a high sand content, low fertility, and poor water-holding capacity, which exposes plants to drought stress. To enhance soybean productivity under such conditions, technological innovations are needed, including the use of biofertilizers and nanotechnology. The Anjasmoro soybean variety is known to be relatively sensitive to drought stress. The application of Plant Growth-Promoting Rhizobacteria (PGPR) and nanosilica is expected to improve nutrient uptake, stimulate the production of growth-promoting hormones, and enhance plant tolerance to drought stress. This study aimed to evaluate the growth and yield of the Anjasmoro soybean variety in response to PGPR and nanosilica fertilization. A factorial Completely Randomized Design (CRD) was employed, consisting of nanosilica concentrations (0, 100, and 200 ppm) and PGPR concentrations (0, 5, 10, and 15%). The results indicated that PGPR and nanosilica fertilization improved soybean tolerance to drought stress. The most effective treatment for enhancing the growth and yield of the Anjasmoro soybean variety on Regosol soil was the application of 10% PGPR combined with 200 ppm nanosilica. This treatment significantly increased pod number, pod weight, 100-seed weight, fresh shoot weight, dry shoot weight, fresh root weight, and chlorophyll content. Additionally, the application of 5% PGPR combined with 200 ppm nanosilica resulted in the best seed quality