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Page 1
Improving predictive ability in sparse testing designs in soybean populations.
Front Genet. 2023 Nov 23;14:1269255. doi: 10.3389/fgene.2023.1269255. eCollection 2023.
Front Genet. 2023.
PMID: 38075684
Free PMC article.
Incorporation of Soil-Derived Covariates in Progeny Testing and Line Selection to Enhance Genomic Prediction Accuracy in Soybean Breeding.
Canella Vieira C, Persa R, Chen P, Jarquin D.
Canella Vieira C, et al. Among authors: persa r.
Front Genet. 2022 Sep 8;13:905824. doi: 10.3389/fgene.2022.905824. eCollection 2022.
Front Genet. 2022.
PMID: 36159995
Free PMC article.
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Coupling day length data and genomic prediction tools for predicting time-related traits under complex scenarios.
Jarquin D, Kajiya-Kanegae H, Taishen C, Yabe S, Persa R, Yu J, Nakagawa H, Yamasaki M, Iwata H.
Jarquin D, et al. Among authors: persa r.
Sci Rep. 2020 Aug 7;10(1):13382. doi: 10.1038/s41598-020-70267-9.
Sci Rep. 2020.
PMID: 32770083
Free PMC article.
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