{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T13:25:36Z","timestamp":1774272336349,"version":"3.50.1"},"reference-count":14,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T00:00:00Z","timestamp":1774224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Crops"],"abstract":"<jats:p>The raspberry (Rubus idaeus L.), an economically important crop, is affected by the crumbly fruit disorder, a malformation that leads to fruit disintegration at harvest due to poor drupelet cohesion. Despite previous efforts to identify genetic determinants of this phenotype, its complex inheritance and strong environmental component have limited the development of robust predictive markers. This study assessed the behavior and transferability of previously reported SSR and SNP markers associated with crumbly fruit across plants from a diverse panel of 34 R. idaeus cultivars, including in adjacent genomic regions not screened previously. Phenotyping was based on multi-season fruit performance and drupelet cohesion, and genetic variation was analysed using PCR-based genotyping within a multilocus approach. Consistent clustering patterns were observed across multiple SSR and SNP loci, suggesting a reproducible association between these genomic regions and the crumbly phenotype. Overall, the results support a multilocus genetic architecture underlying crumbly fruit, but also demonstrate that previously reported markers are not universally transferable across genetic backgrounds. These findings highlight the importance of integrated, population-aware marker validation to enable more reliable implementation of marker-assisted strategies in raspberry breeding programs.<\/jats:p>","DOI":"10.3390\/crops6020036","type":"journal-article","created":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T11:59:36Z","timestamp":1774267176000},"page":"36","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Molecular Markers Associated with Crumbly in Rubus idaeus L."],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8141-0436","authenticated-orcid":false,"given":"Melissa Y.","family":"Oliveira","sequence":"first","affiliation":[{"name":"The National Institute for Agricultural and Veterinary Research (INIAV), Avenida da Rep\u00fablica, Quinta do Marqu\u00eas, 2780-157 Oeiras, Portugal"},{"name":"Faculdade de Ci\u00eancias e Tecnologia, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2832-0658","authenticated-orcid":false,"given":"Teresa","family":"Valdiviesso","sequence":"additional","affiliation":[{"name":"The National Institute for Agricultural and Veterinary Research (INIAV), Avenida da Rep\u00fablica, Quinta do Marqu\u00eas, 2780-157 Oeiras, Portugal"}]},{"given":"Francisco Rosado","family":"Luz","sequence":"additional","affiliation":[{"name":"The National Institute for Agricultural and Veterinary Research (INIAV), Avenida da Rep\u00fablica, Quinta do Marqu\u00eas, 2780-157 Oeiras, Portugal"},{"name":"Department of Agricultural Sciences, Viikki Plant Science Centre, University of Helsinki, P.O. Box 27, FI-00014 Helsinki, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2763-1916","authenticated-orcid":false,"given":"Am\u00edlcar","family":"Duarte","sequence":"additional","affiliation":[{"name":"Faculdade de Ci\u00eancias e Tecnologia, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal"},{"name":"MED Mediterranean Institute for Agriculture, Environment and Development & CHANGE Global Change and Sustainability Institute, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9918-6479","authenticated-orcid":false,"given":"Pedro Br\u00e1s de","family":"Oliveira","sequence":"additional","affiliation":[{"name":"The National Institute for Agricultural and Veterinary Research (INIAV), Avenida da Rep\u00fablica, Quinta do Marqu\u00eas, 2780-157 Oeiras, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9691-0217","authenticated-orcid":false,"given":"Ana Rita","family":"Varela","sequence":"additional","affiliation":[{"name":"The National Institute for Agricultural and Veterinary Research (INIAV), Avenida da Rep\u00fablica, Quinta do Marqu\u00eas, 2780-157 Oeiras, Portugal"},{"name":"MED Mediterranean Institute for Agriculture, Environment and Development & Change\u2014Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de \u00c9vora\u2014P\u00f3lo da Mitra, 7002-554 \u00c9vora, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Scolari, L.M., Hancock, R.D., Hedley, P.E., Morris, J., Smith, K., and Graham, J. 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CEQ 8000 Genetic Analysis System User Guide, Beckman Coulter."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2537","DOI":"10.1093\/bioinformatics\/bts460","article-title":"GenAlEx 6.5: Genetic Analysis in Excel. Population Genetic Software for Teaching and Research\u2014An Update","volume":"28","author":"Peakall","year":"2012","journal-title":"Bioinformatics"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"474","DOI":"10.21273\/JASHS.113.3.474","article-title":"Scanning electron microscope analysis of drupelet morphology of red raspberry and related Rubus genotypes","volume":"113","author":"Robbins","year":"1988","journal-title":"J. Am. Soc. Hortic. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Robert, F., and Pelletier, J. (2018). Exploring the Impact of Single-Nucleotide Polymorphisms on Translation. Front. Genet., 9.","DOI":"10.3389\/fgene.2018.00507"}],"container-title":["Crops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2673-7655\/6\/2\/36\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T12:43:18Z","timestamp":1774269798000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2673-7655\/6\/2\/36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,23]]},"references-count":14,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,4]]}},"alternative-id":["crops6020036"],"URL":"https:\/\/doi.org\/10.3390\/crops6020036","relation":{},"ISSN":["2673-7655"],"issn-type":[{"value":"2673-7655","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,23]]}}}