In this project, we are evaluating how statistical methods can be used for genomic analyses and using pooled data in genetic evaluations, and defining novel traits. In addition, a major component of this project is on using appropriate statistical procedures and experimental designs in Animal Science Research and on evaluating/improving the statistical competency of graduate students.
Published work* led by the Serão Genomic Lab related to this Project (in chronological order):
*Only publications with final references are shown
Good Practices on the Design and Analysis of Data in Animal Science Research and Education
3) Serão NVL^, AL Petry, LP Sanglard* (2020) Self-reported statistical training of graduate students associated with confidence in performing statistical analyses. In: Journal of Animal Sciences, 98(Issue Suppl. 4):358. ASAS-CSAS Annual Meeting & Trade Show, Madison, WI, USA, 2020. doi: https://doi.org/10.1093/jas/skaa278.627 (Late-Breaking Abstract)
2) Serão NVL^, A Petry (2020) Do prediction equations with high R-squared in low sample size studies have high predictive ability? In: Journal of Animal Sciences, 98(Issue Suppl. 3):71. ASAS Midwest Section Meeting, Omaha, NE, USA, 2020. doi: https://doi.org/10.1093/jas/skaa054.127
1) Serão NVL^, NA Gutierrez, A Wolc, RL Fernando (2018) To Block or Not to Block: The Tale of Initial Weight in Swine Nutrition Trials. In: Journal of Animal Sciences, 96(Suppl. S2):193-194. ADSA®-ASAS Joint Midwest Meeting, Omaha, NL, USA, 2018. doi: https://doi.org/10.1093/jas/sky073.356 (Oral Presentation)
Statistical Methods for Genomic Analyses and for Genetic Evaluations Using Pooled Data
5) Coelho de Sousa I*, RL Fernando, JCM Dekkers, M Nascimento, RJ Leach, NVL Serão^ (2020) Genetic selection using pooled semen. In: Journal of Animal Sciences, 98(Issue Suppl. 4):6. ASAS-CSAS Annual Meeting & Trade Show, Madison, WI, USA, 2020. doi: https://doi.org/10.1093/jas/skaa278.011
4) Nascimento ACC*, M Nascimento*, FF Silva, LD Barili, NM Vale, JE Carneiro, CD Cruz, PCS Carneiro, NVL Serão^ (2019) Quantile regression applied to genome-enable prediction of common bean flowering time-related traits. Agronomy, 9, 796. doi: https://doi.org/10.3390/agronomy9120796
3) Nascimento M*, ACC Nascimento*, FF Silva, LD Barili, NM do Vale, JE Carneiro, CD Cruz, PCS Carneiro, NVL Serão^ (2018) Quantile Regression for Genome-Wide Association Study of flowering time-related traits in common bean. PLoS ONE, 13(1): e0190303. doi: https://doi.org/10.1371/journal.pone.0190303
2) Nascimento M*, FF Silva, T Sáfadi, ACC Nascimento*, TEM Ferreira, LMA Barroso*, CF Azevedo, SEF Guimarães, NVL Serão^ (2017) ICAclust: a tool for clustering of temporal RNA-Seq data. PLoS ONE, 12(7): e0181195. doi: https://doi.org/10.1371/journal.pone.0181195
1) Barroso LMA*, F Morgante, TFC Mackay, ACC Nascimento*, M Nascimento*, NVL Serão^ (2017) Genomic prediction accuracies using regularized quantile regression (RQR) methodology. In: Journal of Animal Sciences, 95(Suppl. 5):14-15. ADSA®-ASAS Joint Midwest Meeting, Omaha, NL, USA, 2017. doi: https://doi.org/10.2527/asasmw.2017.032
Development of Novel Traits using Statistical Methods
2) Nascimento M*, ACC Nascimento*, JCM Dekkers, NVL Serão^ (2019) Using quantile regression methodology to evaluate changes in the shape of growth curves in pigs selected for increased feed efficiency based on residual feed intake. ANIMAL. 13(5):1009–1019. doi: https://doi.org/10.1017/S1751731118002616
1) Nascimento M*, ACC Nascimento*, W Cai, JCM Dekkers, NVL Serão^ (2017) Genetic parameters and trends for residual feed intake (RFI), performance traits, and growth curve parameters in pigs selected for low RFI with contrasting growth trajectories. In: Journal of Animal Sciences, 95(Suppl. 5):15. ADSA®-ASAS Joint Midwest Meeting, Omaha, NL, USA, 2017. doi: https://doi.org/10.2527/asasmw.2017.033