Center for Quantitative Genetics and Genomics has a number of PhD projects affiliated within various areas of the center's expertise. Click on the project titles below to learn more about the project and the PhD student behind it.
Project title: Phenotypic and genetic characterization of methane efficiency traits in dairy cattle
Period: 1 May 2026 - 30 April 2029
Project title: Estimation of genetic cultivar mixture population effects
Period: 1 April 2026 - 31 March 2029
Project title: Optimizing Early-Generation Selection in Tetraploid Potato Using Phenomic and Genomic Approaches.
Period: 1 March 2026 - 28 February 2029
Project title: Deciphering the phenomics basis of larval traits in the black soldier fly
Period: 1 October 2025 - 30 September 2028
Project title: Unveiling the alternative hydrogen pathway in cattle rumen.
Period: 1 September 2025 - 31 August 2028
Project title: An Underground Tracking System to Characterize Novel Earthworm-Plant Interactions
Period: 1 June 2025 - 31 May 2028
Project title: Improving the efficiency of genomic research in genetically admixed populations
Period: 1 June 2025 - 31 May 2028
Project title: AI and Robotics for High-Throughput Environmental Response Mapping.
Period: 15 January 2025 - 14 January 2028
Project title: Novel breeding goals and optimized breeding schemes for beef cattle breeds to be used on dairy cows.
Period: 15 December 2024 - 14 December 2027
Project title: Establishment of an organic line of rainbow trout.
Period: 1 November 2024 - 31 October 2027
Project title: Machine learning to predict nitrogen leaching at field level.
Period: 15 October 2024 - 14 October 2027
Project title: Deep Learning for Biodiversity Monitoring: Comparison of Custom Imaging Platforms and Deep Learning to Classify and Phenotype Earthworms.
Period: 1 October 2024 - 30 September 2027
Project title: Developing methods for genomic evaluation of purebred beef bulls for a beef on dairy production system
Period: 1 August 2024 - 31 July 2027
Project title: Integrating Complex Multi-Layer Data to Accurately Predict Breeding Values for Methane Emission in Cows.
Period: 1 June 2024 - 31 May 2027
Project title: Hierarchical deep learning for better automatic pest classification and biodiversity monitoring in agroecosystems
Period: 1 July 2023 - 30 June 2026
Project title: Quantitative Methods and Machine Learning Models in Evolutionary Plant Population Genomics for Analysis of Variant Effects
Period: 1 February 2023 - 31 January 2026
