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GWABLUP: genome-wide association assisted best linear unbiased prediction of genetic values
BackgroundSince the very beginning of genomic selection, researchers investigated methods that improved upon SNP-BLUP (single nucleotide polymorphism...
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Using machine learning and partial dependence to evaluate robustness of best linear unbiased prediction (BLUP) for phenotypic values
Best linear unbiased prediction (BLUP) is widely used in plant research to address experimental variation. For phenotypic values, BLUP accuracy is...
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Selection Index and the Best Linear Unbiased Prediction
Selection index defined in this chapter is a linear combination of phenotypic values of the same trait collected from multiple relatives of a...
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Genetic parameters and selection in full-sib families of tall fescue using best linear unbiased prediction (BLUP) analysis
BackgroundBetter understanding of genetic structure of economic traits is crucial for identification and selection of superior genotypes in specific...
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Impact and utility of shallow pedigree using single-step genomic BLUP for prediction of unbiased genomic breeding values
In unstructured dairy programs, pedigree is usually shallow, which leads to biased prediction of breeding values using best linear unbiased...
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Statistically unbiased prediction enables accurate denoising of voltage imaging data
Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method...
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Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle
BackgroundRecently, there has been a growing interest in the genetic improvement of body measurement traits in farm animals. They are widely used as...
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Estimating Best Linear Unbiased Predictions (BLUP) for Yield and Quality Traits in Sugarcane
Cane yield and juice quality traits are essential and important in release of sugarcane variety for commercial cultivation. Twenty elite sugarcane...
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The use of a genetic relationship matrix biases the best linear unbiased prediction
The best linear unbiased prediction (BLUP), derived from the linear mixed model (LMM), has been popularly used to estimate animal and plant breeding...
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Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley
BackgroundMetabolomics measures an intermediate stage between genotype and phenotype, and may therefore be useful for breeding. Our objectives were...
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Factor analysis applied in genomic prediction considering different density marker panels in rice
The study objective was to evaluate the application of factor analysis (FA) on genomic prediction considering different density marker panels. The FA...
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Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses
BackgroundSequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve...
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Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (Oryza sativa L.)
Accurately identifying varieties with targeted agronomic traits was thought to contribute to genetic selection and accelerate rice breeding progress....
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Accuracy of Genomic prediction for fleece traits in Inner Mongolia Cashmere goats
The fleece traits are important economic traits of goats. With the reduction of sequencing and genoty** cost and the improvement of related...
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Implementation of different relationship estimate methodologies in breeding value prediction in kiwiberry (Actinidia arguta)
In dioecious crops such as Actinidia arguta (kiwiberries), some of the main challenges when breeding for fruit characteristics are the selection of...
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Comparison of linear and semi-parametric models incorporating genomic, pedigree, and associated loci information for the prediction of resistance to stripe rust in an Austrian winter wheat breeding program
Key messageWe used a historical dataset on stripe rust resistance across 11 years in an Austrian winter wheat breeding program to evaluate genomic...
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Genomic prediction of blood biomarkers of metabolic disorders in Holstein cattle using parametric and nonparametric models
BackgroundMetabolic disturbances adversely impact productive and reproductive performance of dairy cattle due to changes in endocrine status and...
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Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheat
With abundant available genomic data, genomic selection has become routine in many plant breeding programs. Multispectral data captured by UAVs...
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Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model
Key messageGenomic prediction of genebank accessions benefits from the consideration of additive-by-additive epistasis and subpopulation-specific...
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Predictive ability of multi-population genomic prediction methods of phenotypes for reproduction traits in Chinese and Austrian pigs
BackgroundMulti-population genomic prediction can rapidly expand the size of the reference population and improve genomic prediction ability. Machine...
