(Q58896188)

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Modeling Genotype × Environment Interaction Using Additive Genetic Covariances of Relatives for Predicting Breeding Values of Wheat Genotypes

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scholarly article

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Modeling Genotype × Environment Interaction Using Additive Genetic Covariances of Relatives for Predicting Breeding Values of Wheat Genotypes (English)

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Juan Burgueño

2

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Jose Crossa

1

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author name string

Paul L. Cornelius

3

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Graham McLaren

4

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Richard Trethowan

5

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Anitha Krishnamachari

6

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publication date

2006

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46

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4

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1722

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Using the shifted multiplicative model to search for "separability" in crop cultivar trials.

1 reference

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1 reference

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A statistical model which combines features of factor analytic and analysis of variance techniques

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Best Linear Unbiased Estimation and Prediction under a Selection Model

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A Simple Method for Computing the Inverse of a Numerator Relationship Matrix Used in Prediction of Breeding Values

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Best Linear Unbiased Prediction (BLUP) for regional yield trials: a comparison to additive main effects and multiplicative interaction (AMMI) analysis

1 reference

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Analyzing Genotype-Environment Data by Mixed Models with Multiplicative Terms

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Empirical best linear unbiased prediction in cultivar trials using factor-analytic variance-covariance structures

1 reference

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10.2135/CROPSCI2005.11-0427

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