Combining pedigree and genomic information to improve prediction quality: an example in sorghum-Reference-Cited by-同舟云学术

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Combining pedigree and genomic information to improve prediction quality: an example in sorghum

Published:2019-04-09 Issue:7 Volume:132 Page:2055-2067
ISSN:0040-5752
Container-title:Theoretical and Applied Genetics
language:en
Short-container-title:Theor Appl Genet

Author:

Velazco Julio G.,Malosetti Marcos,Hunt Colleen H.,Mace Emma S.,Jordan David R.,van Eeuwijk Fred A.

Funder

Instituto Nacional de Tecnología Agropecuaria

Grain Research and Development Corporation

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Agronomy and Crop Science,General Medicine,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s00122-019-03337-w.pdf

Reference59 articles.

1. Albrecht T, Wimmer V, Auinger HJ, Erbe M, Knaak C, Ouzunova M, Simianer H, Schön C-C (2011) Genome-based prediction of testcross values in maize. Theor Appl Genet 123:339–350

2. Ashraf B, Edriss V, Akdemir D, Autrique E, Bonnett D, Crossa J, Janss L, Singh R et al (2016) Genomic prediction using phenotypes from pedigree lines with no markers. Crop Sci 56:957–964. https://doi.org/10.2135/cropsci2015.02.0111

3. Auinger HJ, Schönleben M, Lehermeier C, Schmidt M, Korzun V, Geiger HH, Piepho H-P, Gordillo A et al (2016) Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.). Theor Appl Genet 129:2043–2053. https://doi.org/10.1007/s00122-016-2756-5

4. Bernal-Vasquez A-M, Möhring J, Schmidt M, Schönleben M, Schön C-C, Piepho H-P (2014) The importance of phenotypic data analysis for genomic prediction—a case study comparing different spatial models in rye. BMC Genom 15:646. https://doi.org/10.1186/1471-2164-15-646

5. Bink MCAM, Uimari P, Sillanpaa MJ, Janss LLG, Jansen RC (2002) Multiple QTL mapping in related plant populations via a pedigree-analysis approach. Theor Appl Genet 104:751–762

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