Overview
Background
Dr Daniel Edge-Garza is a horticulture and crop geneticist at the Queensland Alliance for Agriculture and Food Innovation at the University of Queensland, Australia. His research interests are to develop and translate tools using genome-wide DNA information for breeders and growers to make meaningful decisions. Daniel’s PhD awarded by the University of Queensland in 2024 focused on identifying global G x E patterns to assist with improved germplasm-environment matching for commercial deployment. Before joining QAAFI, he obtained his Bachelor's Degree in Biological Sciences in 2005 and Master's Degree in Biotechnology in 2009 both at California State University, Fresno. From 2008, he worked as a faculty associate in research for tree fruit breeding at Washington State University becoming recognized worldwide for his efforts to streamline the deployment of DNA tests for pome and stone fruit breeding programs. He has also collaborated with the Genome Database for Rosaceae since 2018 to curate genomics data and train breeders on how to upload and access their data on the Breeding Information Management System.
Availability
- Dr Daniel Edge-Garza is:
- Available for supervision
Fields of research
Qualifications
- Bachelor of Biological Sciences, California State University-Fresno
- Masters (Research) of Biotechnology, California State University-Fresno
- Doctor of Philosophy of Quantitative Genetics, The University of Queensland
Research interests
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Genetics/Genomics
genomic prediction for germplasm-environment matching DNA-informed breeding
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Bioinformatics
genomics data curation and database development for horticultural crops and pulses imputation across DNA platforms
Works
Search Professor Daniel Edge-Garza’s works on UQ eSpace
2024
Other Outputs
Global genomic prediction in apple
Edge-Garza, Daniel (2024). Global genomic prediction in apple. PhD Thesis, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland. doi: 10.14264/7d769b6
2023
Conference Publication
A strategy for aggregating multi-source historical phenotypic and genotypic data sets containing homonyms for global genomic prediction in apple (Malus domestica)
Edge-Garza, D., Evans, K., Ross, E. M., Jung, S., Main, D. and Hardner, C. (2023). A strategy for aggregating multi-source historical phenotypic and genotypic data sets containing homonyms for global genomic prediction in apple (Malus domestica). XXXI International Horticultural Congress (IHC2022): International Symposium on Breeding and Effective Use of Biotechnology and Molecular Tools in Horticultural Crops, Angers, France, 14-20 August 2022. Leuven, Belgium: International Society for Horticultural Science. doi: 10.17660/actahortic.2023.1362.17
2021
Journal Article
Correction of database SNP accession numbers misassigned to SNPs of the 8K IRSC apple SNP array
Edge-Garza, Daniel A., Villamil-Castro, Miguel, Main, Dorrie and Hardner, Craig (2021). Correction of database SNP accession numbers misassigned to SNPs of the 8K IRSC apple SNP array. Tree Genetics and Genomes, 17 (2) 17, 1-4. doi: 10.1007/s11295-021-01500-3
2021
Journal Article
Empirical evaluation of multi-trait DNA testing in an apple seedling population
Ru, Sushan, Hardner, Craig, Evans, Kate, Main, Dorrie, Carter, Patrick A., Harshman, Julia, Sandefur, Paul, Edge-Garza, Daniel and Peace, Cameron (2021). Empirical evaluation of multi-trait DNA testing in an apple seedling population. Tree Genetics and Genomes, 17 (1) 13. doi: 10.1007/s11295-021-01494-y
2021
Journal Article
The Breeding Information Management System (BIMS): an online resource for crop breeding
Jung, Sook, Lee, Taein, Gasic, Ksenija, Campbell, B. Todd, Yu, Jing, Humann, Jodi, Ru, Sushan, Edge-Garza, Daniel, Hough, Heidi and Main, Dorrie (2021). The Breeding Information Management System (BIMS): an online resource for crop breeding. Database, 2021 baab054. doi: 10.1093/database/baab054
2019
Conference Publication
Data Access and Use: From Rosbreed Data Management to Genomic Prediction
Main, Dorrie, Jung, Sook, Peace, Cameron, Bassil, Nahla, Hardner, Craig M., McFerson, James R., Iezzoni, Amy F., Lee, Taein, Cheng, Chun-Huai, Hough, Heidi, Luby, James J., Gasic, Ksenija, Humann, Jodi L., Edge-Garza, Daniel, Zurn, Jason, DeVetter, Lisa Wasko, Evans, Kate, Sebolt, Audrey, Vanderzande, Stijn and Coe, Michael (2019). Data Access and Use: From Rosbreed Data Management to Genomic Prediction. Annual Conference of the American Society for Horticultural Science (ASHS), Las Vegas, NV United States, 22-25 July 2019. Alexandria, VA United States: American Society for Horticultural Science.
2018
Journal Article
Crossing the finish line: how to develop diagnostic DNA tests as breeding tools after QTL discovery
Vanderzande, Stijn, Piaskowski, Julia L., Luo, Feixiong, Edge Garza, Daniel A., Klipfel, Jack, Schaller, Alexander, Martin, Sam and Peace, Cameron (2018). Crossing the finish line: how to develop diagnostic DNA tests as breeding tools after QTL discovery. Journal of Horticulture, 05 (01). doi: 10.4172/2376-0354.1000228
2016
Journal Article
Sylleptic branching in winter-headed apple (Malus x domestica) trees: accession-dependent responses and their relationships with other tree architectural characteristics
Vanderzande, Stijn, Hias, Niek, Edge-Garza, Daniel, Costes, Evelyne, Davey, Mark W. and Keulemans, Johan (2016). Sylleptic branching in winter-headed apple (Malus x domestica) trees: accession-dependent responses and their relationships with other tree architectural characteristics. Tree Genetics and Genomes, 12 (5) 87. doi: 10.1007/s11295-016-1046-3
2015
Journal Article
Decision support for cost-efficient and logistically feasible marker-assisted seedling selection in fruit breeding
Edge-Garza, Daniel A., Luby, James J. and Peace, Cameron (2015). Decision support for cost-efficient and logistically feasible marker-assisted seedling selection in fruit breeding. Molecular Breeding, 35 (12) 223, 1-15. doi: 10.1007/s11032-015-0409-z
2014
Journal Article
A high-throughput and cost-efficient DNA extraction protocol for the tree fruit crops of apple, sweet cherry, and peach relying on silica beads during tissue sampling
Edge-Garza, Daniel A., Rowland, Terrence V., Haendiges, Stacey and Peace, Cameron (2014). A high-throughput and cost-efficient DNA extraction protocol for the tree fruit crops of apple, sweet cherry, and peach relying on silica beads during tissue sampling. Molecular Breeding, 34 (4), 2225-2228. doi: 10.1007/s11032-014-0160-x
2010
Conference Publication
Enabling marker-assisted seedling selection in the Washington apple breeding program
Edge-Garza, D. A., Peace, C. P. and Zhu, Yanmin (2010). Enabling marker-assisted seedling selection in the Washington apple breeding program. International Symposium on Molecular Markers in Horticulture, Corvallis, OR USA, Unknown. Leuven, Belgium: International Society for Horticultural Science. doi: 10.17660/actahortic.2010.859.44
2010
Conference Publication
Applying genetic markers for self-compatibility in the WSU sweet cherry breeding program
Haldar, S., Haendiges, S., Edge-Garza, D. A., Oraguzie, N. C., Olmstead, J., Peace, C. P. and Iezzoni, A. (2010). Applying genetic markers for self-compatibility in the WSU sweet cherry breeding program. International Symposium on Molecular Markers in Horticulture, Corvallis, OR, United States, 2010. Leuven, Belgium: International Society for Horticultural Science. doi: 10.17660/actahortic.2010.859.45
2010
Conference Publication
Enabling marker-assisted seedling selection in the Washington apple breeding program
Edge-Garza, D. A., Peace, C. P. and Zhu, Yanmin (2010). Enabling marker-assisted seedling selection in the Washington apple breeding program. International Symposium on Molecular Markers in Horticulture, Corvallis, OR, United States, 29 July - 1 August, 2009. Leuven, Belgium: International Society for Horticultural Science.
Supervision
Availability
- Dr Daniel Edge-Garza is:
- Available for supervision
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Media
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