Cite
A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data.
MLA
Montesinos-López, Osval A., et al. “A Bayesian Genomic Multi-Output Regressor Stacking Model for Predicting Multi-Trait Multi-Environment Plant Breeding Data.” G3: Genes | Genomes | Genetics, vol. 9, no. 10, Oct. 2019, pp. 3381–93. EBSCOhost, https://doi.org/10.1534/g3.119.400336.
APA
Montesinos-López, O. A., Montesinos-López, A., Crossa, J., Cuevas, J., Montesinos-López, J. C., Gutiérrez, Z. S., Lillemo, M., Philomin, J., & Singh, R. (2019). A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data. G3: Genes | Genomes | Genetics, 9(10), 3381–3393. https://doi.org/10.1534/g3.119.400336
Chicago
Montesinos-López, Osval A., Abelardo Montesinos-López, José Crossa, Jaime Cuevas, José C. Montesinos-López, Zitlalli Salas Gutiérrez, Morten Lillemo, Juliana Philomin, and Ravi Singh. 2019. “A Bayesian Genomic Multi-Output Regressor Stacking Model for Predicting Multi-Trait Multi-Environment Plant Breeding Data.” G3: Genes | Genomes | Genetics 9 (10): 3381–93. doi:10.1534/g3.119.400336.