G. C. Mamani, Santana, B. Folegatti, Oliveira, Jr., G., Mattos, E., Ventura, R. V., Eler, J. Pereira, Morota, G., and Ferraz, J. Bento Ster, “Effect of inbreeding in productive traits in Nellore cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Electronic Poster Session - Species - Bovine (beef) 1, p. 855, 2018.

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R. Abdollahi-Arpanahi, Morota, G., and Peñagaricano, F., “Predicting bull fertility using biologically informed genomic models”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Electronic Poster Session - Methods and Tools - Prediction 3, p. 683, 2018.

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H. Yu, Spangler, M., Lewis, R., and Morota, G., “Stronger measures of genomic connectedness enhance prediction accuracies across management units”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Theory to Application 1, p. 406, 2018.

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B. Dourado Valente, Morota, G., Rosa, G. J. M., Gianola, D., and Weigel, K. A., “Causal Meaning of Genomic Predictors: Implication on Genome-Enabled Selection Modeling”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models, p. 219, 2014.

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D. Gianola, Morota, G., and Crossa, J., “Genome-enabled Prediction of Complex Traits with Kernel Methods: What Have We Learned?”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models, p. 212, 2014.

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