Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates
the breeding cycle. In this review, we discuss the history, principles, and basis of GS and …

Publisher Summary This chapter presents the statistical analysis of multilocation trials.
Multilocation trials play an important role in plant breeding and agronomic research. Data from …

Genomic selection (GS) and high‐throughput phenotyping have recently been captivating
the interest of the crop breeding community from both the public and private sectors world‐…

… José Crossa … pedigree information into linear mixed models for predicting breeding values
(Crossa et al. 2006, 2007; Oakey … These results are consistent with those reported by Crossa …

The methodology used by the International Maize and Wheat Improvement Center (CIMMYT)
to develop and improve its maize (Zea mays L.) germplasm involves evaluation of families …

Genomic selection (GS) uses genomewide molecular markers to predict breeding values
and make selections of individuals or breeding lines prior to phenotyping. Here we show that …

The availability of genomewide dense markers brings opportunities and challenges to
breeding programs. An important question concerns the ways in which dense markers and …

… is the correlation of additive genetic effects between sites j and j′. The VCV matrix G was
modeled using the factor analytical model (Smith et al. 2002; Crossa et al. 2006; Burgueño …

… normal density, centered at zero, and with covariance structure Cov (g, g′) = G 0 ⊗ A, Cov
(ε, ε′) = I g ⊗ R 0 , and Cov (g, ε′) = 0, where I is an identity matrix of size g, G 0 is a J × J …

… i ) and the random effect of the markers (g j ). This model is obtained by including the interaction
… (5) the covariance between phenotypic records of line j measured under environmental …