<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>21(1)</volume><submitter>Verbrigghe N</submitter><journal>Plant methods</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12376716</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Disentangling soybean GxE effects in an integrated genomic prediction and machine learning-GWAS workflow</pubmed_title><pmcid>PMC12376716</pmcid><pubmed_authors>Rietman H</pubmed_authors><pubmed_authors>Verbrigghe N</pubmed_authors><pubmed_authors>Ceran M</pubmed_authors><pubmed_authors>Đorđevic V</pubmed_authors><pubmed_authors>Roldan-Ruiz I</pubmed_authors><pubmed_authors>Pegard M</pubmed_authors><pubmed_authors>Muylle H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Disentangling soybean GxE effects in an integrated genomic prediction and machine learning-GWAS workflow</name><description/><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jan</publication><modification>2026-05-09T17:45:39.059Z</modification><creation>2026-04-08T01:08:48.982Z</creation></dates><accession>S-EPMC12376716</accession><cross_references/></HashMap>