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• W2037454265 abstract "This paper reviews methods for nearest neighbour analysis that adjust for local trend in one dimension. Such methods are commonly used in plant breeding and variety testing. The focus is on simple differencing methods, including first differences and the Papadakis method. We discuss mixed model representations of these methods on the scale of the observed data. Modelling observed data has a number of practical advantages compared to differencing, for example the facility to conveniently compute adjusted cultivar means. Most models considered involve a linear variance-covariance structure and can be represented as state-space models. The reviewed methods and models are exemplified using three datasets. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)" @default.
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• W2037454265 date "2008-04-01" @default.
• W2037454265 modified "2023-10-03" @default.
• W2037454265 title "Nearest Neighbour Adjustment and Linear Variance Models in Plant Breeding Trials" @default.
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• W2037454265 doi "https://doi.org/10.1002/bimj.200710414" @default.
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