B.S., Maringa State University – Brazil
M.S., Maringa State University – Brazil
Ph.D., Maringa State University – Brazil / University of Georgia
Description of Research Interests
The increasing availability of genomic information for nearly all livestock species have led to increased interest in using this information to help selecting the best animals in genetic improvement programs. The genomic selection has been associated with additional accuracy in estimating breeding values and reduction in generation intervals, which lead to higher and faster genetic gains. However, the genomic response may be different depending on the species and the population structure, and the genomic strategy may be still unclear in some cases. My research has been focused on improving livestock production using genomic information, and addressing issues related to the implementation of genomic selection mostly in beef and dairy cattle and secondly in poultry and swine. My work comprehends finding the most appropriated methodologies, models, and strategies to evaluate livestock populations.
Selected Recent Publications
Masuda, Y., I. Misztal, S. Tsuruta, A. Legarra, I. Aguilar, D.A.L. Lourenco, B. Fragomeni, and T. Lawlor. 2016. Implementation of genomic recursions in single-step genomic BLUP for US Holsteins with a large number of genotyped animals. J. Dairy Sci. (accepted)
Lourenco, D.A.L., S. Tsuruta, B.O. Fragomeni, Y. Masuda, I. Aguilar, A. Legarra, J.K. Bertrand, T.S. Amen, L. Wang, D.W. Moser, and I. Misztal. 2015. Genomic evaluation using single-step genomic BLUP in American Angus. J. Anim. Sci. 93:2653–2662.
Lourenco, D.A.L., I. Misztal, B.O. Fragomeni, S. Tsuruta, I. Aguilar, B. Zumbach, and R.R. Hawken. 2015. Accuracy of estimated breeding values with genomic information on males, females, or both: an example in broiler chicken. Genet. Sel. Evol. 47:56.
Tsuruta, S., D.A.L. Lourenco, I. Misztal, and T. J. Lawlor. 2015. Genotype by environment interactions on culling rates and 305-d milk yield of Holstein cows in three US regions. J. Dairy Sci. 98:5796–5805.
Fragomeni, B.O., D.A.L. Lourenco, S. Tsuruta, Y. Masuda, I. Aguilar, A. Legarra, T.J. Lawlor, and I. Misztal. 2015. Hot Topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes. J. Dairy Sci. 98:4090–4094.
Zhang, X., I. Misztal, M. Heidaritabar, J.W.M. Bastiaansen, R. Borg, R. Okimoto, R.L. Sapp, T. Wing, R.R. Hawken, D.A.L. Lourenco, Z. G. Vitezica, H.H. Cheng, and W.M. Muir. 2015. Prior genetic architecture impacting genomic regions under selection: An example using genomic selection in two poultry breeds. Livest. Prod. Sci. 171:1–11.
Fragomeni, B.O., D.A.L. Lourenco, S. Tsuruta, Y. Masuda, I. Aguilar, I. Misztal. 2015. Use of Genomic Recursions and Algorithm for Proven and Young Animals for Single-Step Genomic BLUP Analyses – a Simulation Study. J. Anim. Breed. Genet. 132:340-345.
Lourenco, D.A.L., I. Misztal, S. Tsuruta, I. Aguilar, T.J. Lawlor, S. Forni, J.I. Weller. 2014. Are evaluations on young genotyped animals benefiting from the past generations? J. Dairy Sci. 97:3930–3942.
Lourenco, D.A.L., I. Misztal, S. Tsuruta, I. Aguilar, E. Ezra, M. Ron, A. Shirak, J.I. Weller. 2014. Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses. J. Dairy Sci. 97:1742–1752. (Featured Article in JDS).