<HashMap><database>EVA</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Vcf>ftp://ftp.ebi.ac.uk/pub/databases/eva/PRJEB101803/mays_italian_landraces.vcf.gz</Vcf><Vcf>ftp://ftp.ebi.ac.uk/pub/databases/eva/PRJEB101803/mays_italian_landraces.accessioned.vcf.gz.csi</Vcf><Vcf>ftp://ftp.ebi.ac.uk/pub/databases/eva/PRJEB101803/mays_italian_landraces.accessioned.vcf.gz</Vcf><Other>ftp://ftp.ebi.ac.uk/pub/databases/eva/PRJEB101803/mays_italian_landraces.vcf.csi</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><dataset_type>Genotyping By Sequencing</dataset_type><omics_type>Genomics</omics_type><submitter>EBI</submitter><instrument_platform>-</instrument_platform><species>Zea Mays</species><full_dataset_link>https://www.ebi.ac.uk/eva/?eva-study=PRJEB101803</full_dataset_link><repository>EVA</repository></additional><is_claimable>false</is_claimable><name>LEVERAGING KNOWLEDGE OF TRADITIONAL ITALIAN MAIZE LANDRACE DIVERSITY TO IDENTIFY SIGNALS OF LOCAL ADAPTATION</name><description>This project aims to characterize Italian maize landraces both morphologically and genotypically to assess their genetic diversity and identify climate-adaptive alleles for future pre-breeding initiatives. To achieve this, we sequenced 140 individuals from 28 representative Italian maize landraces from northern and central Italy using the Genotyping-by-Sequencing (GBS) approach</description><dates><publication>2025-10-31</publication></dates><accession>PRJEB101803</accession><cross_references><TAXONOMY>4577</TAXONOMY></cross_references></HashMap>