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Data · dataset · 2026

A dataset for the application of the Bayesian AMMI (B-AMMI) model to identify high-yielding and stable barley genotypes

Listed in Teesside University Research Data Repository

This dataset came from a multi-environment trial that used an RCBD with three replicates to assess 18 promising barley genotypes and two commercial cultivars during two cropping seasons (2021–2023) across five warm-climate stations in Iran.

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Provenance · 1 source records, 7 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/pgcwt3r99t.113 h agoJSON v1
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