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Year Number of Results
2015 1
2016 4
2017 4
2018 5
2019 2
2020 4
2021 5
2022 7
2023 2
2024 1

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Page 1
Genomic predictions to leverage phenotypic data across genebanks.
El Hanafi S, Jiang Y, Kehel Z, Schulthess AW, Zhao Y, Mascher M, Haupt M, Himmelbach A, Stein N, Amri A, Reif JC. El Hanafi S, et al. Among authors: schulthess aw. Front Plant Sci. 2023 Aug 28;14:1227656. doi: 10.3389/fpls.2023.1227656. eCollection 2023. Front Plant Sci. 2023. PMID: 37701801 Free PMC article.
Genomics-informed prebreeding unlocks the diversity in genebanks for wheat improvement.
Schulthess AW, Kale SM, Liu F, Zhao Y, Philipp N, Rembe M, Jiang Y, Beukert U, Serfling A, Himmelbach A, Fuchs J, Oppermann M, Weise S, Boeven PHG, Schacht J, Longin CFH, Kollers S, Pfeiffer N, Korzun V, Lange M, Scholz U, Stein N, Mascher M, Reif JC. Schulthess AW, et al. Nat Genet. 2022 Oct;54(10):1544-1552. doi: 10.1038/s41588-022-01189-7. Epub 2022 Oct 4. Nat Genet. 2022. PMID: 36195758
Large-scale genotyping and phenotyping of a worldwide winter wheat genebank for its use in pre-breeding.
Schulthess AW, Kale SM, Zhao Y, Gogna A, Rembe M, Philipp N, Liu F, Beukert U, Serfling A, Himmelbach A, Oppermann M, Weise S, Boeven PHG, Schacht J, Longin CFH, Kollers S, Pfeiffer N, Korzun V, Fiebig A, Schüler D, Lange M, Scholz U, Stein N, Mascher M, Reif JC. Schulthess AW, et al. Sci Data. 2022 Dec 26;9(1):784. doi: 10.1038/s41597-022-01891-5. Sci Data. 2022. PMID: 36572688 Free PMC article.
Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat.
Zhao Y, Thorwarth P, Jiang Y, Philipp N, Schulthess AW, Gils M, Boeven PHG, Longin CFH, Schacht J, Ebmeyer E, Korzun V, Mirdita V, Dörnte J, Avenhaus U, Horbach R, Cöster H, Holzapfel J, Ramgraber L, Kühnle S, Varenne P, Starke A, Schürmann F, Beier S, Scholz U, Liu F, Schmidt RH, Reif JC. Zhao Y, et al. Among authors: schulthess aw. Sci Adv. 2021 Jun 11;7(24):eabf9106. doi: 10.1126/sciadv.abf9106. Print 2021 Jun. Sci Adv. 2021. PMID: 34117061 Free PMC article.
29 results