Titlebook: Genetic Data Analysis for Plant and Animal Breeding; Fikret Isik,James Holland,Christian Maltecca Book 2017 Springer International Publish

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Imputing Missing Genotypes, missing genotype values. The chapter is not intended as a rigorous treatment of the use and implications of imputation in breeding values prediction, but rather as a brief overview of some common strategies currently employed. For the reader interested in a more in-depth treatment, references are p

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Genomic Relationships and GBLUP, the use of large numbers of DNA markers to estimate the amount of genome shared by individuals. Genetic similarity estimates based on genetic markers are more precise than those based on pedigree information. Using the genomic relationships derived from markers for prediction of genetic merit of in

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DOGMA 2003. Report from Denmark be applied both to the residual errors from the model (in the ‘. structure’) and to random model factors (in the ‘. structure’). In this chapter we introduce the major variance models to form more complex . and . structures with some examples, but more detailed applications of variance modeling will be covered in later chapters.

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Book 2017ontext or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding progr

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