Articles | Volume 68, issue 2
https://doi.org/10.5194/aab-68-377-2025
https://doi.org/10.5194/aab-68-377-2025
Original study
 | 
17 Jun 2025
Original study |  | 17 Jun 2025

Genomic prediction in a backcross population using relationship matrices

Abdulraheem A. Musa, Jan Klosa, Manfred Mayer, and Norbert Reinsch

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Cited articles

Bonk, S., Reichelt, M., Teuscher, F., Segelke, D., and Reinsch, N.: Mendelian sampling covariability of marker effects and genetic values, Genet. Sel. Evol., 48, 1–11, https://doi.org/10.1186/s12711-016-0214-0, 2016. 
Broman, K. W., Wu, H., Sen, Ś., and Churchill, G. A.: R/qtl: QTL mapping in experimental crosses, Bioinformatics, 19, 889–890, https://doi.org/10.1093/bioinformatics/btg112, 2003. 
De Los Campos, G., Naya, H., Gianola, D., Crossa, J., Legarra, A., Manfredi, E., Weigel, K., and Cotes, J. M.: Predicting quantitative traits with regression models for dense molecular markers and pedigree, Genetics, 182, 375–385, https://doi.org/10.1534/genetics.109.101501, 2009. 
Dou, J., Li, X., Fu, Q., Jiao, W., Li, Y., Li, T., Wang, Y., Hu, X., Wang, S., and Bao, Z.: Evaluation of the 2b-RAD method for genomic selection in scallop breeding, Sci. Rep., 6, 19244, https://doi.org/10.1038/srep19244, 2016. 
Falconer, D. S. and Mackay, T. F. C.: Introduction to Quantitative Genetics, Longman, Essex, England, https://doi.org/10.1002/9781118313718.ch4, 1996. 
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Short summary
In response to the urgent need for enhancing food security amidst a rapidly growing global population, our study develops new models to improve breeding programs for plants and animals. Traditional models often fall short in capturing the full genetic complexity. However, our three new models demonstrate improved performance by better predicting breeding values, thus supporting more effective breeding strategies and contributing to global food security.
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