Trait prediction through computational intelligence and machine learning applied to soybean (Glycine max) breeding in shaded environments
Antônio Carlos da Silva Júnior, Weverton Gomes da Costa, Amanda Gonçalves Guimarães, Waldênia de Melo Moura, Leonardo Lopes Bhering, Cosme Damião Cruz, R. O. Batista, José Barbosa dos Santos, Wellington Ferreira Campos, Anderson Barbosa Evaristo
This paper uses machine learning to predict soybean grain yield under different shading levels, finding plant height as the most predictive trait.
bioRxiv · Jan 31, 2024 · PreprintGenetics