Jun. 12, 2025
Carlos, a U of A master's degree student in statistics and analytics who is researching plant breeding through the Center for Agricultural Data Analytics, recently attended the 30th Bruce Weir Summer Institute in Statistical Genetics (SISG) at the Georgia Institute of Technology in Atlanta, GA.
There, he had the chance to brush up on fundamental concepts in quantitative genetics, such as genomic prediction and genome-wide association studies (GWAS), as well as software and statistical approaches to tackle these problems.
Beyond the theory, Carlos had the chance to connect with graduate students from all over the country and even from other countries.
Jan. 14, 2025
Igor Fernandes, a U of A master's degree student in statistics and analytics who is researching plant breeding through the Center for Agricultural Data Analytics, recently placed first in a contest sponsored by the Sixth International Machine Learning for Cyber-Agricultural Systems workshop.
Assessing Soybean Cultivar Resistance to Target Spot Using a Detached Leaf Assay
Rachael Wolf, Robert Holland, J Alejandro Rojas, Samuel Fernandes, Igor Fernandes, John C Rupe
Genomic Prediction and Association Mapping of Early-Season Flood Tolerance in Soybean
Derrick Harrison, Chengjun Wu, Rafael Marmo, Sandra Liliana Florez-Palacios, Andrea Acuna-Galindo, Daniel Rogers, Samuel Bonfim Fernandes, Igor Kuivjogi Fernandes, Grover Shannon, Heng Ye, Henry T Nguyen, Caio Canella Vieira
Igor K Fernandes, Caio C Vieira, Kaio OG Dias, Samuel B Fernandes
Enhancing Genomic Prediction with Environmental Information and Machine Learning
Igor Kuivjogi Fernandes, Samuel Bonfim Fernandes
Genomic Prediction to Enhance the Efficiency of Soybean Breeding
C Canella Vieira, A Acuna-Galindo, I Fernandes, S Fernandes, D Harrison, L Florez-Palacios, C Wu, D Rogers, R Marmo, J Mendoza