Source: Journal of Computational and Graphical Statistics. Unidades: ESALQ, FZEA
Subjects: ANÁLISE ESTATÍSTICA DE DADOS, DELINEAMENTO EXPERIMENTAL, INTERAÇÃO GENÓTIPO-AMBIENTE, MELHORAMENTO GENÉTICO VEGETAL, MÉTODOS GRÁFICOS, MODELOS MATEMÁTICOS
ABNT
KIRCH, Jhessica Leticia et al. A multi-attribute evaluation of genotype-environment experiments using biplots and joint plots graphics. Journal of Computational and Graphical Statistics, v. 33, n. 4, p. 1488-1496, 2024Tradução . . Disponível em: https://doi.org/10.1080/10618600.2024.2325445. Acesso em: 27 nov. 2025.APA
Kirch, J. L., Spitti, A. M. D. S., Chiorato, A. F., Dias, C. T. dos S., & Lima, C. G. de. (2024). A multi-attribute evaluation of genotype-environment experiments using biplots and joint plots graphics. Journal of Computational and Graphical Statistics, 33( 4), 1488-1496. doi:10.1080/10618600.2024.2325445NLM
Kirch JL, Spitti AMDS, Chiorato AF, Dias CT dos S, Lima CG de. A multi-attribute evaluation of genotype-environment experiments using biplots and joint plots graphics [Internet]. Journal of Computational and Graphical Statistics. 2024 ; 33( 4): 1488-1496.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/10618600.2024.2325445Vancouver
Kirch JL, Spitti AMDS, Chiorato AF, Dias CT dos S, Lima CG de. A multi-attribute evaluation of genotype-environment experiments using biplots and joint plots graphics [Internet]. Journal of Computational and Graphical Statistics. 2024 ; 33( 4): 1488-1496.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/10618600.2024.2325445
