Yutaka Masuda Assistant Research Scientist Animal & Dairy Science
Contact Information yutaka@uga.edu 706-542-1852
Mailing Address Athens, CAES Campus E.L. Rhodes Center, 425 River Road, Athens, GA 30602
Shipping Address Athens, CAES Campus E.L. Rhodes Center, 425 River Road, Athens, GA 30602

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Portrait of Yutaka Masuda

Biography

Dr. Yutaka Masuda is an Assistant Research Scientist of the Department of Animal and Dairy Science at the University of Georgia. He was a farm boy born in Hokkaido, Japan. His parents owned a farm for crops and vegetables as well as Japanese Black (known as Wagyu) cattle. After he received his B.S. in Agriculture from Obihiro University of Agriculture and Veterinary Medicine (Obihiro A&VM), Japan, in 2000, he returned to the farm as a young farmer, and he worked there for 3 years. He earned an M.S. in Agriculture at Obihiro A&VM and a Ph.D. in Bioproduction (Animal Breeding) at Iwate University, Japan.

Served as an Assistant Professor in the Department of Life Science at Obihiro A&VM from 2008 to 2014, Dr. Masuda taught animal breeding and genetics for undergraduate and graduate students. He expertized the methodology of genetic/genomic evaluation in a technical committee of dairy cattle breeding in Japan. He gave many talks about the genomic selection and new traits in dairy cattle for breeders, farmers, and breeding companies. He developed efficient computer programs which deal with heavy computations required in genetic evaluation of animals. Dr. Masuda also worked on the improvement of sport horses. He supervised a score sheet for a performance test on health, body conformation, and gaits for young horses.  Dr. Masuda came to UGA in 2014, and he accepted the current position in 2016.

• B.S., Obihiro University of Agriculture and Veterinary Medicine, Japan
• M.S., Obihiro University of Agriculture and Veterinary Medicine, Japan
• Ph.D., Iwate University, Japan

Research Interests

Dr. Masuda’s research focuses on reliable methods of large-scale genomic prediction, modeling of economic traits for farm animals, and development of efficient software useful for quantitative genetics. He has developed efficient methods in genetic evaluation to use millions of genotypes in addition to tens of millions of phenotypes and pedigree entries. His software is highly optimized using parallel computing with dense and sparse matrix techniques. Currently, he is investigating for reasonable methods to obtain accurate genomic predictions for young animals using incomplete data which is often the case in a field study. The findings and breakthroughs are immediately incorporated into a series of BLUPF90 software which is used by quantitative geneticists and breeders worldwide.

Selected Recent Publications

• Aguilar, I., A. Legarra, F. Cardoso, Y. Masuda, D. A. L. Lourenco, and I. Misztal. 2019. Frequentist p-values for large-scale single step genome-wide association, with an application to birth weight in American Angus cattle. Genetics Selection Evolution 51:28. doi:10.1186/s12711-019-0469-3
• Bradford, H. L., Y. Masuda, J. B. Cole, I. Misztal, and P. M. VanRaden. 2019. Modeling pedigree accuracy and uncertain parentage in single-step genomic evaluations of simulated and US Holstein datasets. Journal of Dairy Science 102:2308–2318. doi:10.3168/jds.2018-15419
• Bradford, H. L., Y. Masuda, P. M. VanRaden, A. Legarra, and I. Misztal. 2019. Modeling missing pedigree in single-step genomic BLUP. Journal of Dairy Science 102:2336–2346. doi:10.3168/jds.2018-15434
• Fragomeni, B. O., Y. Masuda, H. L. Bradford, D. A. L. Lourenco, and I. Misztal. 2019. International bull evaluations by gblup with a prediction population. Journal of Dairy Science 102:2330–2335. doi:10.3168/jds.2018-15554
• Oliveira, H., D. A. L. Lourenco, Y. Masuda, I. Misztal, S. Tsuruta, J. Jamrozik, L. Brito, F. Fonseca e Silva, and F. Schenke. 2019. Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle. Journal of Dairy Science 102:2365–2377. doi:10.3168/jds.2018-15466
• Stafuzza, N. B., R. M. de Oliveira Silva, B. de Oliveira Fragomeni, Y. Masuda, Y. Huang, K. Gray, and D. A. L. Lourenco. 2019. A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive. BMC genomics 20:321. doi:10.1186/s12864-019-5687-0
• Yamaguchi, S., Y. Masuda, S. Nakagawa, H. Abe, Y. Gotoh, T. Baba, and T. Kawahara. 2019. Genetic parameters for mastitis incidence and its indicators based on somatic cell score for holsteins in hokkaido, japan. Animal Science Journal (In Press) doi:10.1111/asj.13218.
• Maiorano, A. M., D. A. L. Lourenco, S. Tsuruta, A. M. Toro, N. B. Stafuzza, Y. Masuda, A. Vercesi Filho, J. N. S. G. Cyrillo, R. A. Curi, and J. A. V. Silva. 2018. Assessing genetic architecture and signatures of selection of dual purpose gir cattle populations using genomic information. PLoS ONE 13:e0200694. doi:10.1371/journal.pone.0200694
• Masuda, Y., P. M. VanRaden, I. Misztal, and T. J. Lawlor. 2018. Differing genetic trend estimates from traditional and genomic evaluations of genotyped animals as evidence of preselection bias in us holsteins. Journal of Dairy Science 101:5194–5206. doi:10.3168/jds.2017-13310
• Andonov, S., D. Lourence, B. Fragomeni, Y. Masuda, and I. Misztal. 2017. Effect of different sources of information on accuracy of breeding values estimated across linked populations — a simulation study. Journal of Dairy Science 100:395–401. doi:10.3168/jds.2016-11335
• Baba, T., Y. Gotoh, S. Yamaguchi, S. Nakagawa, H. Abe, Y. Masuda, and T. Kawahara. 2017. Application of single-step genomic BLUP with a multiple-lactation random regression test-day model for Japanese Holsteins. Animal Science Journal 88:1226–1231. doi:10.1111/asj.12760
• Fragomeni, B. O., D. A. L. Lourenco, Y. Masuda, A. Legarra, and I. Misztal. 2017. Incorporation of causative quantitative trait nucleotides in single-step GBLUP. Genetics Selection Evolution 49:59. doi:10.1186/s12711-017-0335-0
• Hagiya, K., K. Hayasaka, T. Yamazaki, T. Shirai, T. Osawa, Y. Terawaki, Y. Nagamine, Y. Masuda, and M. Suzuki. 2017. Effects of heat stress on production, somatic cell score and conception rate in Holsteins. Animal Science Journal 88:3–10. doi:10.1111/asj.12617
• Masuda, Y., I. Misztal, A. Legarra, S. Tsuruta, D. A. L. Lourenco, B. Fragomeni, and I. Aguilar. 2017. Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic BLUP solved with preconditioned conjugate gradient. Journal of Animal Science 95:49–52. doi:10.2527/jas.2016-0699