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      Computing Heritability and Selection Response From Unbalanced Plant Breeding Trials

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      Genetics
      Genetics Society of America

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          Abstract

          Heritability is often used by plant breeders and geneticists as a measure of precision of a trial or a series of trials. Its main use is for computing the response to selection. Most formulas proposed for calculating heritability implicitly assume balanced data and independent genotypic effects. Both of these assumptions are often violated in plant breeding trials. This article proposes a simulation-based approach to tackle the problem. The key idea is to directly simulate the quantity of interest, e.g., response to selection, rather than trying to approximate it using some ad hoc measure of heritability. The approach is illustrated by three examples.

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          Most cited references11

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          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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            On the design of early generation variety trials with correlated data

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              BLUP for phenotypic selection in plant breeding and variety testing

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                Author and article information

                Journal
                Genetics
                Genetics
                Genetics Society of America
                0016-6731
                1943-2631
                November 26 2007
                November 2007
                November 2007
                November 26 2007
                : 177
                : 3
                : 1881-1888
                Article
                10.1534/genetics.107.074229
                2147938
                18039886
                7c7afdec-9c13-45cf-8601-f4231925857d
                © 2007
                History

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