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Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses

Abstract Background Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction. However, until now, studies on integrating such SNPs using a single-step genomic best linear unbiased prediction (ssGBLUP) mod...

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Detaylı Bibliyografya
Asıl Yazarlar: Aoxing Liu, Mogens Sandø Lund, Didier Boichard, Emre Karaman, Bernt Guldbrandtsen, Sebastien Fritz, Gert Pedersen Aamand, Ulrik Sander Nielsen, Goutam Sahana, Yachun Wang, Guosheng Su
Materyal Türü: Artigo
Dil:Alemão
Baskı/Yayın Bilgisi: BMC 2020-08-01
Seri Bilgileri:Genetics Selection Evolution
Online Erişim:http://link.springer.com/article/10.1186/s12711-020-00568-0
Etiketler: Etiketle
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