Using Structural Equation Models to Interpret Genome-Wide Association Studies for Morphological and Productive Traits in Soybean [<i>Glycine max</i> (L.) Merr.]

Understanding trait relationships is fundamental in soybean breeding because the goal is to maximize simultaneous gains. Standard multi-trait genome-wide association studies (MT-GWAS) identify variants linked to multiple traits but fail to capture phenotypic structures or interrelations. Structural...

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Bibliographic Details

Published in:	Plants
Main Authors:	Matheus Massariol Suela, Camila Ferreira Azevedo, Ana Carolina Campana Nascimento, Gota Morota, Felipe Lopes da Silva, Gaspar Malone, Nizio Fernando Giasson, Moysés Nascimento
Format:	Article
Language:	English
Published:	MDPI AG 2025-09-01
Subjects:	genome-wide association study structural equation model Bayesian network single nucleotide polymorphism <i>Glycine max</i> (L.) Merr
Online Access:	https://www.mdpi.com/2223-7747/14/19/3015