Accuracy of estimated genomic breeding values for wool and meat traits in a multi-breed sheep population
By Hans D. Daetwyler, John M. Hickey, John M. Henshall, S. Dominik, B. Gredler, J. Werf, Ben J. Hayes. 2010
123 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Genetics
View Paper: https://www.semanticscholar.org/paper/02bd05cae947ecb56f99acb706b1ce83ccb7855f
How researchers see this paper
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In Genetics
- G. de los Campos
- Jean-Luc Jannink
- John M. Hickey
- R. Pong-Wong
- Franco G. Asoro
- Hans D. Daetwyler
- M. Calus
- M. Sorrells
Citations in the corpus
- Accuracy and Training Population Design for Genomic Selection on Quantitative Traits in Elite North American Oats (2011, methodology): “…accuracy include the genetic architecture of the trait, LD, genetic relationships between training and validation populations, marker density, training population size, and heritability (Hayes et al., 2009; Zhong et al., 2009, Luan et al., 2009, Daetwyler et al., 2010b, de Roos et al., 2009).”
- Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding (2013, background): “Daetwyler et al. (2010b) showed in a simulation study that the accuracy of G-BLUP is not affected by the number of QTL; however, the predictive performance of BayesC was greatly affected by that factor and its accuracy was higher when the number of QTL was low and decreased with increasing number…”