Mathematical modeling and multivariate analysis applied earliest soybean harvest associated drying and storage conditions and influences on physicochemical grain quality

Mathematical modeling and multivariate analysis applied earliest soybean harvest associated drying and storage conditions and influences on physicochemical grain quality

Abstract Anticipating the harvest period of soybean crops can impact on the post-harvest processes. This study aimed to evaluate early soybean harvest associated drying and storage conditions on the physicochemical soybean quality using of mathematical modeling and multivariate analysis. The soybean...

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Autores principales: Roney Eloy Lima, Paulo Carteri Coradi, Marcela Trojahn Nunes, Sabrina Dalla Corte Bellochio, Newiton da Silva Timm, Camila Fontoura Nunes, Letícia de Oliveira Carneiro, Paulo Eduardo Teodoro, Carlos Campabadal
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/b85e81a5f7964654acb53c8e8bbe2671
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