Dataset for unrevealing the application of multi-trait genotype-ideotype distance index and multi-trait index based on factor analysis and ideotype-design models in the identification of high-yielding and stable barley genotypes

Dataset for unrevealing the application of multi-trait genotype-ideotype distance index and multi-trait index based on factor analysis and ideotype-design models in the identification of high-yielding and stable barley genotypes

Dissecting the genotype-by-environment interaction (GEI) effects in multi-environmental trials (METs) is a critical step in any breeding program before introducing new commercial varieties for cultivation in specific regions or across diverse environments. This dataset explores the application of tw...

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Bibliographic Details
Main Authors: Alireza Pour-Aboughadareh, Omid Jadidi, Bita Jamshidi, Jan Bocianowski, Janetta Niemann
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Data in Brief
Subjects:
Genotype-by-environment interaction
Grain yield
AMMI model
BLUP model
Stability parameters
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925001155

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http://www.sciencedirect.com/science/article/pii/S2352340925001155

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