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Existing control strategies are not cost effective in low input legumes like pea. The most efficient ecofriendly mode of control is using resistant cultivars. Quantitative trait loci (QTL) studies based on bi-parental mapping has guided\n                      <jats:italic>O. crenata<\/jats:italic>\n                      resistance discovery, albeit their deployment in pea breeding is hindered by low marker resolution and large genetic distance. This study presents the first genome-wide association study (GWAS) on\n                      <jats:italic>O. crenata<\/jats:italic>\n                      resistance in pea, utilizing 324 diverse accessions and 26,045 diversity array technology sequence (DArTseq) markers. Phenotyping was performed over four seasons under field conditions using alpha lattice design. Results showed a strong phenotypic variation with an environmental influence on\n                      <jats:italic>O. crenata<\/jats:italic>\n                      infection. Novel resistance sources were identified mainly within the wild\n                      <jats:italic>Pisum fulvum<\/jats:italic>\n                      and\n                      <jats:italic>P. sativum<\/jats:italic>\n                      subsp.\n                      <jats:italic>elatius.<\/jats:italic>\n                      GWAS with two models yielded a total of 73 marker-trait associations with Chromosome 5 as major hotspot. Interestingly, some linked markers were detected in close proximity to four previous\n                      <jats:italic>O. crenata<\/jats:italic>\n                      resistance QTL. DArTseq markers identified 24 putative candidate genes participating in different cellular processes, including vesicle trafficking and transports, deoxyribonucleic acid transcription regulation, and defense including some leucine rich repeat receptor-like kinases. These results provide a valuable genetic resource for\n                      <jats:italic>O. crenata<\/jats:italic>\n                      resistance and a step toward its effective sustainable management\u2014to enhance genetic diversity and cultivar improvement for food security.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00122-025-05051-2","type":"journal-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:26:09Z","timestamp":1760192769000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Genome wide association study unveils the genetic basis of Orobanche crenata resistance in pea"],"prefix":"10.1007","volume":"138","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7516-1074","authenticated-orcid":false,"given":"Osman Zakaria","family":"Wohor","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Rispail","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diego","family":"Rubiales","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,11]]},"reference":[{"key":"5051_CR1","doi-asserted-by":"publisher","first-page":"1655","DOI":"10.1101\/gr.094052.109","volume":"19","author":"DH Alexander","year":"2009","unstructured":"Alexander DH, Novembre J, Lange K (2009) Fast model-based estimation of ancestry in unrelated individuals. 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