Arief Noviati

Dr. Vivi Noviati Arief is a Lecturer in Biometry in the School of Agriculture and Food Sustainability, Faculty of Science, at the University of Queensland. She was awarded a PhD in plant breeding and quantitative genetics from the University of Queensland in 2011. Her PhD thesis, completed in the School of Agriculture and Food Sciences, titled 'Methodology Development to Integrate Phenotypic and Genotypic Data from a Plant Breeding Program through Association Analysis with a Case Study Using Data from the CIMMYT International Spring Wheat Field Trials,' advanced integrative approaches in breeding data analysis. Following her doctorate, she continued her research career as a postgraduate in the School of Agriculture and Food Sciences at UQ, contributing to quantitative genetics and biometrics in agriculture.

Dr. Arief's research focuses on the analysis and interpretation of data from large-scale plant breeding experiments, application of pattern analysis including clustering and ordination procedures to plant breeding data, genome-wide association analysis using plant breeding data, genomic selection in plant breeding, and QU-GENE simulations for breeding strategies. Her work spans crops such as wheat, mungbean, passionfruit, common bean, and others, with over 2,000 citations on Google Scholar. Key publications include Arief, V. N., DeLacy, I. H., & Basford, K. E. (2020). 'Design and analysis of multi-year field trials for annual crops' in Quantitative genetics, genomics and plant breeding (CABI); Sun, X. et al. (2025). 'Selecting superior genotypes to enhance yield and fruit quality in Australian passion fruit' in Scientia Horticulturae; Zhong, Y. et al. (2024). 'Evaluation of Water Use Efficiency in Mungbean using the Inverted-Bottle Pot System' in Crop Breeding, Genetics and Genomics; Chiaravallotti, I. et al. (2024). 'Simulations of multiple breeding strategy scenarios in common bean for assessing genomic selection accuracy and model updating' in Plant Genome; Lin, J. et al. (2023). 'Simulations of rate of genetic gain in dry bean breeding programs' in Theoretical and Applied Genetics; Arief, V. N. et al. (2022). 'Visualising the pattern of long-term genotype performance by leveraging a genomic prediction model' in Australian and New Zealand Journal of Statistics; and Ali, M. et al. (2020). 'Modeling and simulation of recurrent phenotypic and genomic selections in plant breeding under the presence of epistasis' in Crop Journal. She currently supervises PhD projects on advanced statistical methods for plant breeding.

Professional Email: v.arief1@uq.edu.au