Genomic language model-based genomic prediction in plant breeding.

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Bibliographic Details
Title: Genomic language model-based genomic prediction in plant breeding.
Authors: Alagarasan G; Centre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, Western Australia 6150, Australia., Li H; State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China., Xu Y; State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China; Peking University Institute of Advanced Agricultural Sciences, Weifang, Shandong 261325, China., Crossa J; Department of Statistics, Post-Graduate College (COLPOS), Montecillos, Edo. México, Mexico., Varshney RK; Centre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, Western Australia 6150, Australia. Electronic address: Rajeev.Varshney@murdoch.edu.au.
Source: Trends in plant science [Trends Plant Sci] 2026 May 06. Date of Electronic Publication: 2026 May 06.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Science, Ltd Country of Publication: England NLM ID: 9890299 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-4372 (Electronic) Linking ISSN: 13601385 NLM ISO Abbreviation: Trends Plant Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-4372
DOI:10.1016/j.tplants.2026.04.012