The prediction of producing desirable traits in offspring such as increased growth rate, or superior meat, milk and wool production is a vital economic tool to the animal scientist. Summarising the latest developments in genomics relating to animal breeding values and design of breeding programmes, this new edition includes models of survival analysis, social interaction and sire and dam models, as well as advancements in the use of SNPs in the computation of genomic breeding values.The posterior means computed from the remaining 7000 samples for bE and s2 e were 9.890 kg and 33.119 kg2, respectively. ... solutions for the SNP effects in Table 11.5 as Z2gE, where Z2 is a matrix of genotypes for the validation of test animals ... is a mixture distribution with some SNPs with zero effects and the rest with a t-distribution (Hayes and Daetwyler, 2013). ... The first term in Eqn 11.25 implies sampling s2gi without conditioning on gi and then sampling from the second termanbsp;...
Title | : | Linear Models for the Prediction of Animal Breeding Values |
Author | : | Raphael A. Mrode |
Publisher | : | CABI - 2014-02-27 |
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