Significance and Stability Analysis of Gene-Environment Interaction using RGxEStat
Summary
The paper introduces RGxEStat, a lightweight interactive tool that applies mixed-effect models to analyze gene-environment interactions, offering breeders a user-friendly alternative to complex SAS/R programming.
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Paper page - Significance and Stability Analysis of Gene-Environment Interaction using RGxEStat
Source: https://huggingface.co/papers/2604.03337
Abstract
Genotype-by-Environment(GxE)interactionsinfluencetheperformanceofgenotypesacrossdiverseenvironments,reducingthepredictabilityofphenotypesintargetenvironments.In-depthanalysisofGxEinteractionsfacilitatestheidentificationofhowgeneticadvantagesordefectsareexpressedorsuppressedunderspecificenvironmentalconditions,therebyenablinggeneticselectionandenhancingbreedingpractices.ThispaperintroducestwokeymodelsforGxEinteractionresearch.Specifically,itincludessignificanceanalysisbasedonthemixedeffectmodeltodeterminewhethergenesorGxEinteractionssignificantlyaffectphenotypictraits;stabilityanalysis,whichfurtherinvestigatestheinteractiverelationshipsbetweengenesandenvironments,aswellastherelativesuperiorityorinferiorityofgenotypesacrossenvironments.Additionally,thispaperpresentsRGxEStat,alightweightinteractivetool,whichisdevelopedbytheauthorsandintegratestheconstruction,solution,andvisualizationoftheaforementionedmodels.DesignedtoeliminatetheneedforbreedersandagronomiststolearncomplexSASorRprogramming,RGxEStatprovidesauser-friendlyinterfaceforstreamlinedbreedingdataanalysis,significantlyacceleratingresearchcycles.Codesanddatasetsareavailableathttps://github.com/mason-ching/RGxEStat.
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