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Articles | Volume 68, issue 2
Articles | Volume 68, issue 2
https://doi.org/10.5194/aab-68-377-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/aab-68-377-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 68, issue 2
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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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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