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Running data from different locations and individual replicates together under a unique model has been proven to be a powerful tool for discovering minor-effect QTL in complex traits because of the contribution to a reduced experimental error associated with increased observations [ 14, 41], and might also allow the identification of the most stable QTL over the pooled locations.
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The proposed model may be used for identifying and reducing experimental errors associated with measurements of diffusion based release kinetics.
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