Selection and Fitting of Mixed Models in Sugarcane Yield Trials

Selection and Fitting of Mixed Models in Sugarcane Yield Trials

Mixed models are a useful tool for the analysis of sugarcane field trials in which sugarcane varieties are allocated in different locations and phenotypic traits are evaluated in the same experimental unit (plot) over time. One challenge to analyze these data is how to build a good mixed model when...

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Bibliographic Details
Main Authors:	Josafhat Salinas-Ruíz, Sandra Luz Hernández-Valladolid, Juan Valente Hidalgo-Contreras, Juan Manuel Romero-Padilla
Format:	Article
Language:	English
Published:	MDPI AG 2022-03-01
Series:	Agriculture
Subjects:	mixed model fit statistics covariance structure mean square error
Online Access:	https://www.mdpi.com/2077-0472/12/3/416

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