Genomic prediction

Genomic prediction

Develop and apply genomic selection models in plant breeding

• Bi Ye, Yassue RM, Paul P, Dhatt BK, Sandhu J, Phuc Do T, Walia H, Obata T, Morota G. Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice. G3: Genes, Genomes, Genetics. 2023.doi

• Rocha LF, Benatti TR, de Siqueira L, de Souza ICG, Bianchin I, de Souza AJ, Fernandes ACM, Oda S, Stape JL, Yassue RM, Carvalho HF. Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single-and multi-trait genome-wide association studies. Tree Genetics & Genomes, 2022.doi

• Yassue RM, Galli G, Fritsche-Neto R, Morota G. 2022. “Classification of plant growth-promoting bacteria inoculation status and prediction of growth-related traits in tropical maize using hyperspectral image and genomic data”. Crop Science. doi

• Galli G, Sabadin Felipe, Yassue RM, Souza CG, Carvalho HF, Fritsche-Neto R. Automated Machine Learning: a case study of genomic “image-based” prediction in maize hybrids. Frontiers in Plant Science. doi

• Yassue RM, Sabadin J, Galli G, Alves FC, Fritsche-Neto, R. 2020. “CV-α: Designing Validations Sets to Increase the Precision and Enable Multiple Comparison Tests in Genomic Prediction.” Euphytica. doi