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Tessa R. Macnish

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Open access Jul 2026

Haplotypes and Machine Learning Improve Genomic Prediction in Brassica napus

While haplotypes did not significantly boost prediction accuracy over SNPs, they captured novel genetic variation and offered a broader diversity of variants for selection, suggesting a qualitative advantage for long‐term breeding goals.

Tessa R. Macnish, H. Al-Mamun, Thomas Bergmann et al. · 0 citations
Open access Aug 2026

Capturing the missing gene content of elite wheat by analysis of wheat landraces

There is a need to breed superior wheat cultivars to meet increasing global food demand. However, modern cultivars have undergone a substantial loss of genetic diversity due to intensive breeding. A pool of genetic diversity remains untapped in wheat landraces, and pangenomics can help identify genes of potential agron...

Teng Li, Felipe E. Albornoz, John Bruton et al. · 0 citations

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