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Mega Novita
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asset@upgris.ac.id
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Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
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Advance Sustainable Science, Engineering and Technology (ASSET)
Published by Universitas PGRI Semarang
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology
This journal aims to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of science, engineering, and technology
Arjuna Subject : Energi (semua kategori) - Teknik Energi dan Teknologi Daya
Articles 12 Documents
 1   2 
Search results for , issue "Vol 4, No 2 (2022): May-October" : 12 Documents clear
Bibliometric Analysis of the Application of Platinum Nanoparticles in the Field of Biomedical Research During 2012-2022 Using VOSviewer kinanti aulia putri; Asep Bayu Dani Nandiayanto
Advance Sustainable Science Engineering and Technology Vol 4, No 2 (2022): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v4i2.13340

Abstract

Platinum nanoparticles are materials with excellent biocompatibility, high surface mass ratio, small size, and high reactivity in their biomedical applications. The purpose of this research is to perform bibliometric analysis on the application of platinum nanoparticles in the biomedical field using VOSviewer. The data used in this study were obtained and collected using the Publish or Perish software. The data obtained are based on the keywords "nanoparticles, platinum, biomedical". Based on the analysis conducted, obtained 985 articles relevant to the keywords used in the 2012-2022 range. The results show that the application of platinum nanoparticles in the biomedical field is unstable every year. Research fluctuations occurred from 2012-2018 (57, 53, 72, 63, 75, 70, 93 publications per year respectively). In 2019-2020 there was an increase in research, namely from 118 studies (2019) to 149 studies (2020) and in 2021-2022 there was a decrease in research, from 147 studies (2020) to 88 studies (2022). This research is expected to help and become a reference for other research as consideration for determining the research theme to be taken.
Genome-Wide Association Study of Complex Traits in Maize Detects Genomic Regions and Genes for Increasing Grain Yield and Grain Quality Yheni Dwiningsih; Jawaher Al-Kahtani
Advance Sustainable Science Engineering and Technology Vol 4, No 2 (2022): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v4i2.12678

Abstract

This review describes the current status of genome-wide association study (GWAS) of the major crops in maize (Zea mays L.) concentrate on performing association mapping as a novel method in associating genetic and complex traits, current strategy in analyzing of phenotype and genotype data to identify population structure and linkage disequilibrium. GWAS has an important role in food security because this method identified many crucial genomic regions of important traits in the most commercialize crops of the world, such as maize. These complex traits including yield, grain quality, biofortification, biotic and abiotic resistance. GWAS has many advantages correlated with reducing genotyping cost and research time, increasing mapping resolution and larger allele number. Meanwhile, GWAS has two main limitations related to population size and the number of markers. There are many software packages for data analysis in GWAS. The most commonly software that was used in GWAS especially in this crop is TASSEL because frequently updated. Recently, many research papers concentrated on GWAS in maize. GWAS analysis accelerated identification of genetic regions, candidate genes within these genomic regions and their metabolomic analysis correlated to the complex traits in maize for increasing grain yield and grain quality to fulfill the market demands.

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