{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T04:46:15Z","timestamp":1791866775896,"version":"4.3.4"},"reference-count":110,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:00:00Z","timestamp":1791763200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:00:00Z","timestamp":1791763200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["acsess.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Plant Genome"],"published-print":{"date-parts":[[2026,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Intermediate wheatgrass (IWG;\n                    <jats:italic>Thinopyrum intermedium<\/jats:italic>\n                    ) is a perennial grain crop that offers many environmental benefits through extensive root systems in addition to food production. IWG's distribution across broad environmental gradients in Eurasia provides a model system for studying climate adaptation genetics essential for developing climate\u2010resilient varieties, and exploring this can help provide opportunities for allele mining and population improvement for breeding programs. Genome\u2013environment association methods were used to explore 296 georeferenced accessions genotyped with 17,797 single\u2010nucleotide polymorphisms across 19 bioclimatic variables. An environmental genome\u2010wide association identified 10 associations (\n                    <jats:italic>p<\/jats:italic>\n                    \u00a0&lt;\u00a02.8\u00a0\u00d7\u00a010\n                    <jats:sup>\u2212<\/jats:sup>\n                    <jats:sup>6<\/jats:sup>\n                    , genome\u2010wide Bonferroni correction) with large individual effects (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u00a0=\u00a06.1%\u201310.4%, mean\u00a0=\u00a08.2%), indicating oligogenic genetic architecture was characteristic of climate adaptation traits. Two\u2010way analysis of variance testing genotype \u00d7 cluster interactions revealed predominantly parallel adaptation, with 75.8% of associations showing consistent allelic effects across genetic backgrounds. The combination of large\u2010effect loci and consistent allelic effects across clusters enables many different breeding strategies that can focus on distinct markers associated with temperature adaptation, precipitation adaptation, or improving specific clusters that show resilience.\n                  <\/jats:p>","DOI":"10.1002\/tpg2.70318","type":"journal-article","created":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T04:02:33Z","timestamp":1791864153000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Understanding environmental adaptation in intermediate wheatgrass"],"prefix":"10.1002","volume":"19","author":[{"given":"Elizabeth","family":"Campbell\u2010Strupp","sequence":"first","affiliation":[{"name":"Department of Tropical Plant and Soil Sciences University of Hawaii at Manoa  Honolulu Hawaii USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Halpin\u2010McCormick","sequence":"additional","affiliation":[{"name":"Department of Tropical Plant and Soil Sciences University of Hawaii at Manoa  Honolulu Hawaii USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob","family":"Jungers","sequence":"additional","affiliation":[{"name":"Department of Agronomy and Plant Genetics University of Minnesota Twin Cities  Minneapolis Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannah","family":"Stoll","sequence":"additional","affiliation":[{"name":"Department of Agronomy and Plant Genetics University of Minnesota Twin Cities  Minneapolis Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brooke","family":"Bernhardt","sequence":"additional","affiliation":[{"name":"Department of Agronomy and Plant Genetics University of Minnesota Twin Cities  Minneapolis Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5542-0975","authenticated-orcid":false,"given":"Michael","family":"Kantar","sequence":"additional","affiliation":[{"name":"Department of Tropical Plant and Soil Sciences University of Hawaii at Manoa  Honolulu Hawaii USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bryan","family":"Runck","sequence":"additional","affiliation":[{"name":"GEMS Informatics Institute University of Minnesota Twin Cities  Minneapolis Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,12]]},"reference":[{"issue":"13","key":"e_1_2_10_2_1","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.1093\/bioinformatics\/btl140","article-title":"Improved scoring of functional groups from gene expression data by decorrelating GO graph structure","volume":"22","author":"Alexa A.","year":"2006","journal-title":"Bioinformatics"},{"issue":"1660","key":"e_1_2_10_3_1","doi-asserted-by":"crossref","DOI":"10.1098\/rstb.2013.0377","article-title":"Using archaeogenomic and computational approaches to unravel the history of local adaptation in crops","volume":"370","author":"Allaby R. 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