<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Replication Data for: A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin</dcterms:title><dcterms:identifier>https://doi.org/10.18710/WF1AGU</dcterms:identifier><dcterms:creator>Zanotto, Stefano</dcterms:creator><dcterms:creator>Ergon, Åshild</dcterms:creator><dcterms:publisher>DataverseNO</dcterms:publisher><dcterms:issued>2023-04-03</dcterms:issued><dcterms:modified>2023-09-28T18:07:13Z</dcterms:modified><dcterms:description>Freezing tolerance and genomic data for red clover accessions used for a genome-wide association study (GWAS) to identify loci associated with freezing tolerance in the EUCLEC collection of mostly European red clover accessions. Freezing tolerance was measured as LT50. The genomic data are allele frequencies of single nucleotide polymorphisms (SNPs) and short read-backed haplotypes called in genotype by sequencing-data on pools of DNA (pool-GBS); one pool of 200 individuals per accession. The data were used to generate genomic relationship matrices. SNP data were used to calculate linkage disequilibrium.</dcterms:description><dcterms:subject>Agricultural Sciences</dcterms:subject><dcterms:subject>Medicine, Health and Life Sciences</dcterms:subject><dcterms:subject>freezing tolerance</dcterms:subject><dcterms:subject>GWAS</dcterms:subject><dcterms:subject>linkage disequilibrium</dcterms:subject><dcterms:subject>red clover</dcterms:subject><dcterms:subject>Trifolium pratense</dcterms:subject><dcterms:language>English</dcterms:language><dcterms:isReferencedBy>Zanotto S, Ruttink T, Pégard M, Skøt L, Grieder C, Kölliker R, et al. A genome-wide association study of freezing tolerance in red clover (Trifolium pratense L.) germplasm of European origin. Frontiers in Plant Science. 2023;14., doi, 10.3389/fpls.2023.1189662, https://doi.org/10.3389/fpls.2023.1189662</dcterms:isReferencedBy><dcterms:date>2023-04-03</dcterms:date><dcterms:contributor>Ergon, Åshild Gunilla</dcterms:contributor><dcterms:dateSubmitted>2023-03-19</dcterms:dateSubmitted><dcterms:type>Survival data</dcterms:type><dcterms:type>LT50 data</dcterms:type><dcterms:type>genomic relationship matrix</dcterms:type><dcterms:type>GWAS results</dcterms:type><dcterms:license>CC0 1.0</dcterms:license></metadata>