Invited review: Genomic selection in dairy cattle: progress and challenges.

By Ben J. Hayes, P. J. Bowman, A. Chamberlain, Michael E. Goddard. Journal of Dairy Science, 2009

1,699 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a543347de2ab10e191a1130c04d88e012f4bca21

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

In Plant Science

Citations in the corpus

Applied Genetics and Genomics in Alfalfa Breeding (2012, background): “While successful application of genomic selection has been reported in cattle [115,116], few experiments have been reported in plants [117].”
Relatedness and Genotype × Environment Interaction Affect Prediction Accuracies in Genomic Selection: A Study in Cassava (2013, positive): “This outcrossing characteristic is shared with cattle (Bos taurus), a species for which GS has been shown to work effectively (VanRaden et al., 2009; Hayes et al., 2009a).”
Genomic Selection Accuracy for Grain Quality Traits in Biparental Wheat Populations (2011, background): “Bayesian models previously have outperformed RR; however, only small diff erences have been reported between them for polygenic traits (Hayes et al., 2009; Zhong et al., 2009; VanRaden, 2008; Lorenzana and Bernardo 2009).”
Extension of the bayesian alphabet for genomic selection (2011, result): “Accuracies of GEBVs reported by [24] and [2] for the North American and Australian Holstein populations, respectively, are not comparable to the accuracies found here.”
Genomic selection in forest tree breeding (2011, background): “The first two are under the control of the breeder and the other ones are not (Hayes et al. 2009).”
Genomic Selection in Plant Breeding (2011, background): “In terms of genetic gain per unit time, however, phenotypic selection stands little chance, as the time for a cycle of GS is expected to be one-third or less than that of phenotypic selection for many crops (Heffner et al., 2010; Lorenzana and Bernardo, 2009). This decrease in cycle time will be esp”
Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. (2010, methodology): “Genomic evaluations are currently calculated with a multiple-step procedure (VanRaden, 2008; Hayes et al., 2009).”
Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation (2019, background): “Furthermore, long-term use of genomics requires recalibrating the prediction equations after a few cycles of selection, which will, again, need a substantial number of phenotypic assessments for newer material in the breeding program [33].”
Development and Application of High-density SNP Arrays in Genomic Studies of Domestic Animals (2010, positive): “Based on most of the studies using simulated data (Goddard, 2009; Hayes et al., 2009b), several major factors which influence the accuracy of genomic selection were recognized: i) the LD extent between SNPs and the QTL; ii) the size of the training population (the individuals both phenotyped and…”
Genomic selection in forest tree breeding: the concept and an outlook to the future (2014, background): “In other words, the level of LD should be greater than 0.2 (Hayes et al. 2009).”
Perspectives for Genomic Selection Applications and Research in Plants (2015, background): “Phenotype is still needed on all selection candidates before release to eliminate congenital defects caused by rare alleles becoming homozygous and novel mutations with large effects (Hayes et al., 2009a).”
Accuracy of estimated genomic breeding values for wool and meat traits in a multi-breed sheep population (2010, neutral): “G was calculated as in (Hayes et al. 2009c).”