Titlebook: Linear Selection Indices in Modern Plant Breeding; J. Jesus Céron-Rojas,José Crossa Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable) and Th

placebo

落葉劑

描繪

Grievance

Linear Marker and Genome-Wide Selection Indices,election. On the other hand, the GW-LMSI is a single-stage procedure that treats information at each individual marker as a separate trait. Thus, all marker information can be entered together with phenotypic information into the GW-LMSI, which is then used to predict the net genetic merit and selec

APO

Linear Genomic Selection Indices,ction to obtain the GEBV, and predicting and ranking the net genetic merit of the candidates for selection using the LGSI. We describe the LGSI and show that it is a direct application of the linear phenotypic selection index theory in the genomic selection context; next, we present the combined LGS

Daily-Value

conception

Linear Phenotypic Eigen Selection Index Methods, Their main characteristics are: they do not require the economic weights to be known, the first multi-trait heritability eigenvector is used as its vector of coefficients; and because of the properties associated with eigen analysis, it is possible to use the theory of similar matrices to change th

institute

Linear Molecular and Genomic Eigen Selection Index Methods,respectively. The latter five indices use marker and phenotypic information jointly to predict the net genetic merit of the candidates for selection, but although MESIM uses only statistically significant markers linked to quantitative trait loci, the GW-ESIM uses all genome markers and phenotypic i

正常

Multistage Linear Selection Indices,f the net genetic merit, and provide the breeder with an objective rule for evaluating and selecting several traits simultaneously. The theory of the foregoing indices is based on the independent culling method and on the linear phenotypic selection index, and is described in this chapter in the phe

Antagonism