Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation—an unsupervised machine learning approach
Titel:
Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation—an unsupervised machine learning approach
Auteur:
Angelim, Angélica Maria Leite, Silvana Cavalcante Bastos de Farias, Maria Rogervânia Silva Lourenço, Carla Lourena Cardoso Macedo Evangelista, Angefferson Bento Cordeiro, Carla Nágila de Abreu, Cláudia Goulart Freitas, Ednardo Rodrigues Silveira, Robson Mateus Freitas