Structural Equation Modeling and Genome-Wide Selection for Multiple Traits to Enhance Arabica Coffee Breeding Programs

Structural Equation Modeling and Genome-Wide Selection for Multiple Traits to Enhance Arabica Coffee Breeding Programs

Recognizing the interrelationship among variables becomes critical in genetic breeding programs, where the goal is often to optimize selection for multiple traits. Conventional multi-trait models face challenges such as convergence issues, and they fail to account for cause-and-effect relationships....

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Bibliographic Details
Main Authors: Matheus Massariol Suela, Camila Ferreira Azevedo, Ana Carolina Campana Nascimento, Eveline Teixeira Caixeta Moura, Antônio Carlos Baião de Oliveira, Gota Morota, Moysés Nascimento
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agronomy
Subjects:
simultaneous genome-wide selection
confirmatory factor analysis
structural equation model
Bayesian network
single nucleotide polymorphism
<i>Coffea arabica</i>
Online Access:https://www.mdpi.com/2073-4395/15/7/1686
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