Best Linear Unbiased Prediction of Breeding Values Not in the Model for Records
نویسندگان
چکیده
منابع مشابه
Best Linear Unbiased Prediction of Performance and Breeding Value
Introduction Genetic progress in traits of economic importance has been impressive during the past few decades. This has been due to a combination of (1) selection, primarily on additive genetic merit, (2) changes in breed structure, and (3) crossbreeding; the relative importance of these factors varying from species to species. This paper is concerned with the first of these factors and is res...
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BACKGROUND With the availability of high density whole-genome single nucleotide polymorphism chips, genomic selection has become a promising method to estimate genetic merit with potentially high accuracy for animal, plant and aquaculture species of economic importance. With markers covering the entire genome, genetic merit of genotyped individuals can be predicted directly within the framework...
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Two generations of selection on restricted BLUP breeding values were applied in an experiment with laying hens. Selection had been on phenotype of income minus feed cost (IFC) between 21 and 40 wk of age in the previous five generations. The restriction of no genetic change in egg weight was included in the EBV for power-transformed IFC (i.e., IFCt, with t-values of 3.7 and 3.6 in the two gener...
متن کاملPrediction of rates of inbreeding in populations selected on best linear unbiased prediction of breeding value.
Predictions for the rate of inbreeding (DeltaF) in populations with discrete generations undergoing selection on best linear unbiased prediction (BLUP) of breeding value were developed. Predictions were based on the concept of long-term genetic contributions using a recently established relationship between expected contributions and rates of inbreeding and a known procedure for predicting expe...
متن کاملA Comparison of the Sensitivity of the BayesC and Genomic Best Linear Unbiased Prediction(GBLUP) Methods of Estimating Genomic Breeding Values under Different Quantitative Trait Locus(QTL) Model Assumptions
The objective of this study was to compare the accuracy of estimating and predicting breeding values using two diverse approaches, GBLUP and BayesC, using simulated data under different quantitative trait locus(QTL) effect distributions. Data were simulated with three different distributions for the QTL effect which were uniform, normal and gamma (1.66, 0.4). The number of QTL was assumed to be...
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ژورنال
عنوان ژورنال: Journal of Dairy Science
سال: 1977
ISSN: 0022-0302
DOI: 10.3168/jds.s0022-0302(77)83935-0