TAILIEUCHUNG - Báo cáo sinh học: "Accuracy of multi-trait genomic selection using different methods"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Accuracy of multi-trait genomic selection using different methods | Calus and Veerkamp Genetics Selection Evolution 2011 43 26 http content 43 1 26 GSE Ge n et i cs Selection Evolution RESEARCH Open Access Accuracy of multi-trait genomic selection using different methods Mario PL Calus and Roel F Veerkamp Abstract Background Genomic selection has become a very important tool in animal genetics and is rapidly emerging in plant genetics. It holds the promise to be particularly beneficial to select for traits that are difficult or expensive to measure such as traits that are measured in one environment and selected for in another environment. The objective of this paper was to develop three models that would permit multi-trait genomic selection by combining scarcely recorded traits with genetically correlated indicator traits and to compare their performance to single-trait models using simulated datasets. Methods Three SNP Single Nucleotide Polymorphism based models were used. Model G and BCn0 assumed that contributed co variances of all SNP are equal. Model BSSVS sampled SNP effects from a distribution with large or small effects to model SNP that are or not associated with a quantitative trait locus. For reasons of comparison model A including pedigree but not SNP information was fitted as well. Results In terms of accuracies for animals without phenotypes the models generally ranked as follows BSSVS BCn0 G A. Using multi-trait SNP-based models the accuracy for juvenile animals without any phenotypes increased up to . For animals with phenotypes on an indicator trait only accuracy increased up to and for genetic correlations with the evaluated trait of and respectively. Conclusions When the indicator trait had a genetic correlation lower than with the trait of interest in our simulated data the accuracy was higher if genotypes rather than phenotypes were obtained for the indicator trait. However when genetic correlations were higher than using an indicator trait led to higher .

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