Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops.
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| Title: | Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops. |
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| Authors: | Li J; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. lijing02@caas.cn., Yu L; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China., Li M; Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China., Han R; Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China., Li Y; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China., Shaibu AS; Department of Agronomy, Bayero University Kano, Kano, Nigeria., Agyenim-Boateng KG; DynaMo Center, Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark., Hao Z; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China., Liu Y; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China., Li B; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China., Zhang S; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China., Li L; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China., Qiu L; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. qiulijuan@caas.cn., Sun J; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. sunjunming@caas.cn. |
| Source: | Nature communications [Nat Commun] 2026 Mar 26; Vol. 17 (1). Date of Electronic Publication: 2026 Mar 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41888146 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. lijing02@caas.cn.<br /><searchLink fieldCode="AU" term="%22Yu+L%22">Yu L</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+M%22">Li M</searchLink>; Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Han+R%22">Han R</searchLink>; Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Shaibu+AS%22">Shaibu AS</searchLink>; Department of Agronomy, Bayero University Kano, Kano, Nigeria.<br /><searchLink fieldCode="AU" term="%22Agyenim-Boateng+KG%22">Agyenim-Boateng KG</searchLink>; DynaMo Center, Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark.<br /><searchLink fieldCode="AU" term="%22Hao+Z%22">Hao Z</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+B%22">Li B</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zhang+S%22">Zhang S</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+L%22">Li L</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Qiu+L%22">Qiu L</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. qiulijuan@caas.cn.<br /><searchLink fieldCode="AU" term="%22Sun+J%22">Sun J</searchLink>; The State Key Laboratory of Crop Gene Resources and Breeding, National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. sunjunming@caas.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2026 Mar 26; Vol. 17 (1). <i>Date of Electronic Publication: </i>2026 Mar 26. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41467-026-71035-5 Languages: – Code: eng Text: English Titles: – TitleFull: Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li J – PersonEntity: Name: NameFull: Yu L – PersonEntity: Name: NameFull: Li M – PersonEntity: Name: NameFull: Han R – PersonEntity: Name: NameFull: Li Y – PersonEntity: Name: NameFull: Shaibu AS – PersonEntity: Name: NameFull: Agyenim-Boateng KG – PersonEntity: Name: NameFull: Hao Z – PersonEntity: Name: NameFull: Liu Y – PersonEntity: Name: NameFull: Li B – PersonEntity: Name: NameFull: Zhang S – PersonEntity: Name: NameFull: Li L – PersonEntity: Name: NameFull: Qiu L – PersonEntity: Name: NameFull: Sun J IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 03 Text: 2026 Mar 26 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2041-1723 Numbering: – Type: volume Value: 17 – Type: issue Value: 1 Titles: – TitleFull: Nature communications Type: main |
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