ASREML user guide release 1.0
By A. R. Gilmour, Beverley J. Gogel, Brian R. Cullis, Sue J. Welham, Robin Thompson. 2002
2,975 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/bd1ef9825029655d534cff4000dd8f90ac902600
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Citations in the corpus
- Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. (2012, methodology): “Variance components were estimated with ASReml software (Gilmour et al., 2002).”
- BLUP for phenotypic selection in plant breeding and variety testing (2008, methodology): “Examples of how to fit models with known A and D matrixes in ASReml can be found in the manual (Gilmour et al. 2005).”
- Invited review: Genomic selection in dairy cattle: progress and challenges. (2009, methodology): “The variance components were estimated in ASREML (Gilmour et al., 2002).”
- Diallel Analysis of Resistance to Fusarium Ear Rot and Fumonisin Contamination in Maize (2012, methodology): “Genotypic correlations between Fusarium ear rot and fumonisin were estimated from bivariate analyses of the combined data across environments using ASReml version 3 (Gilmour et al., 2009; Holland, 2006).”
- Evaluation of Genomic Prediction Methods for Fusarium Head Blight Resistance in Wheat (2012, methodology): “h e elements of u were estimated using the sot ware ASREML (Gilmour et al., 2009).”
- Local adaptation of timing of reproduction: females are in the driver's seat (2009, unknown): “By investigating male and female effects simultaneously, this single model partially accounts for not missing at random biases (Hadfield 2008) which can result, for example, from lower recapture rates in males compared to females (see Table 1). All models included year of breeding, age of the female”