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Different methods to calculate genomic predictions—Comparisons of BLUP at the single nucleotide polymorphism level (SNP-BLUP), BLUP at the individual level (G-BLUP), and the one-step approach (H-BLUP) [PDF]
Several strategies to use genomic data in predictions have been proposed. The aim of this study was to compare different genomic prediction methods. The response variables used in the genomic predictions were deregressed proofs, which were derived from 2 estimated breeding value (EBV) data sets.
Minna Koivula +2 more
exaly +4 more sources
The Misuse of BLUP in Ecology and Evolution
Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect in a mixed effect model. Over the past decade it has been used extensively in ecology and evolutionary biology to predict individual breeding values and reaction norms.
Jarrod D Hadfield +2 more
exaly +4 more sources
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Agronomy Journal, 2023
AbstractThe early stages of wheat breeding programs often contain large number of plants in segregating populations that must be selected. Selecting the best populations and plants in those stages is not an easy task, making it necessary to use robust methodologies that facilitate the selection process. The goals of this work were to evaluate different
Caique Machado e Silva +4 more
openaire +1 more source
AbstractThe early stages of wheat breeding programs often contain large number of plants in segregating populations that must be selected. Selecting the best populations and plants in those stages is not an easy task, making it necessary to use robust methodologies that facilitate the selection process. The goals of this work were to evaluate different
Caique Machado e Silva +4 more
openaire +1 more source
On unbiasedness of the empirical BLUE and BLUP
Statistics and Probability Letters, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly +2 more sources
The BLUPs are not “best” when it comes to bootstrapping
Statistics & Probability Letters, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
2020
Recall from Sect. 13.5 that E-BLUP, the conventional procedure for predicting a predictable linear function τ = cTβ + u under the prediction-extended general mixed linear model $$\displaystyle \left \{\left (\begin {array}{c}\mathbf {y} \\ u\end {array}\right ),\left (\begin {array}{c}\mathbf { X}\boldsymbol {\beta } \\ 0 \end {array}\right ),\left
openaire +1 more source
Recall from Sect. 13.5 that E-BLUP, the conventional procedure for predicting a predictable linear function τ = cTβ + u under the prediction-extended general mixed linear model $$\displaystyle \left \{\left (\begin {array}{c}\mathbf {y} \\ u\end {array}\right ),\left (\begin {array}{c}\mathbf { X}\boldsymbol {\beta } \\ 0 \end {array}\right ),\left
openaire +1 more source

