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Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheat.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 18 Apr 2024

Jighly Abdulqader, Thayalakumaran Thabo, Kant Surya, Panozzo Joe, Aggarwal Rajat, Hessel David, Forrest Kerrie L, Technow Frank, Totir Radu, Goddard Mike, Pryce Jennie, Hayden Matthew J, Munkvold Jesse, O'Leary Garry J

Abstract excerpt

KEY MESSAGE: The integration of genomic prediction with crop growth models enabled the estimation of missing environmental variables which improved the prediction accuracy of grain yield. Since the invention of whole-genome prediction (WGP) more than two decades ago, breeding programmes have established extensive reference populations that are cultivated under diverse environmental conditions. The introduction of...

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PMID: 38637355
DOI: 10.1007/s00122-024-04613-0

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