Detection of breeding signatures in wheat using a linkage disequilibrium-corrected mapping approach.

Sci Rep · 2021 · PMC7970893 · PMID 33750919

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highly significantno p-value reported

The following conditions were set for the BayeScan analysis to detect highly significant SNPs affected by the breeding history: the number of MCMC iterations were set to 50,000, pilot run length to 10,000 and additional burn-in to 30,000.

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