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. 2014 Jan 21;4(3):539–546. doi: 10.1534/g3.113.010025

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Copyright © 2014 Hofheinz and Frisch

This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Comparison of the estimated marker effects for grain yield (GY) in the wheat data set for the best linear unbiased prediction (BLUP), ridge regression with weighing factors according to analysis of variance components (RRWA), estimation of the error and genetic variance components with restricted maximum likelihood and partitioning according to analysis of variance components (RMLA), modification of the restricted maximum likelihood procedure that yields heteroscedastic variances (RMLV), and heteroscedastic effects model (HEM) approaches.