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pro vyhledávání: '"local epistatic effect"'
Multi-Trait Genomic Prediction Models Enhance the Predictive Ability of Grain Trace Elements in Rice
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Multi-trait (MT) genomic prediction models enable breeders to save phenotyping resources and increase the prediction accuracy of unobserved target traits by exploiting available information from non-target or auxiliary traits. Our study evaluated dif
Externí odkaz:
https://doaj.org/article/1a692ba6ccec4ea8b2217f4536458ab8
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 8, Iss 5, Pp 1687-1699 (2018)
Genome-wide prediction approaches represent versatile tools for the analysis and prediction of complex traits. Mostly they rely on marker-based information, but scenarios have been reported in which models capitalizing on closely-linked markers that
Externí odkaz:
https://doaj.org/article/5e6cae004fa448fbbbfcb8485ddac27e
Akademický článek
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Publikováno v:
G3: Genes|Genomes|Genetics
G3: Genes, Genomes, Genetics, Vol 8, Iss 5, Pp 1687-1699 (2018)
G3: Genes, Genomes, Genetics, Vol 8, Iss 5, Pp 1687-1699 (2018)
Genome-wide prediction approaches represent versatile tools for the analysis and prediction of complex traits. Mostly they rely on marker-based information, but scenarios have been reported in which models capitalizing on closely-linked markers that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82c573ce8cc81969df8b609407a4bab6
https://doi.org/10.1534/g3.117.300548
https://doi.org/10.1534/g3.117.300548
Autor:
Jiang Y; Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Stadt Seeland, Germany., Schmidt RH; Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Stadt Seeland, Germany., Reif JC; Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466 Stadt Seeland, Germany reif@ipk-gatersleben.de.
Publikováno v:
G3 (Bethesda, Md.) [G3 (Bethesda)] 2018 May 04; Vol. 8 (5), pp. 1687-1699. Date of Electronic Publication: 2018 May 04.