Article
Large scale wheat data integration improves genomic prediction accuracy with the potential to facilitate international breeding collaborations.
Communications biology - 28 Apr 2026
Jighly Abdulqader, Joukhadar Reem, Keeble-Gagnere Gabriel, van den Berg Irene, Chisanga David, Sehgal Deepmala, Dreisigacker Susanne, Hayden Matthew, Daetwyler Hans, Pryce Jennie, Singh Sukhwinder, Trethowan Richard, Goddard Mike
Abstract excerpt
Effective data integration across diverse sources is essential for maximising genetic gain and accurately predicting plant performance in modern agriculture. However, individual breeding programs often face significant logistical and financial barriers when attempting to test large, diverse populations across a wide range of global environments. Here we show that synchronising genomic data from two prominent...
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