Strategy for applying genome-wide selection in dairy cattle.

By L. Schaeffer. Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie, 2006

875 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8c7e3b1101b8f89a8129d8b56b28d45367fa46ff

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Citations in the corpus

Genomic Selection in Wheat Breeding using Genotyping‐by‐Sequencing (2012, neutral): “Dairy bulls are selected based on daughter progeny 72 testing, a phenotype that takes years to evaluate and typically cost tens of thousands of 73 dollars per bull (Schaeffer, 2006).”
Genomic selection in plant breeding: from theory to practice. (2010, background): “lutionizing both animal [19, 25] and plant [26, 27] breeding.”
Genomic selection in forest tree breeding (2011, methodology): “Several reports have analyzed the prospects of GS through simulation studies of the several parameters and analytical procedures that impact the predicted accuracy of genomic selection for domestic animal breeding schemes (Calus et al. 2008; Dekkers 2007; Long et al. 2007; Muir 2007; Schaeffer 2006;”
Very early selection for solid wood quality: screening for early winners (2009, methodology): “Raymond and Schimleck, 2002; Raymond et al., 2001); however, its use has been extended to any other trait that could have a chemical basis; for example wood stiffness (Schimleck et al., 2002) and MFA (Schimleck et al., 2005).”
Association Mapping: Critical Considerations Shift from Genotyping to Experimental Design (2009, methodology): “…approach of using geneticmarkers in estimating relatedness has been used to predict breeding values in animals and plants (Meuwissen et al., 2001; Schaeffer, 2006; VanRaden, 2008; Heffner et al., 2009) and to correct for relatedness in population mapping studies in both human families and inbred…”
Genomic Selection in Plant Breeding (2011, background): “The potential acceleration of the breeding cycle and the increase in selection intensity enabled are breathtaking (Heffner et al., 2010; Schaeffer, 2006).”
Genomic Selection for Crop Improvement (2017, positive): “To ascertain GS's impact on gains per unit time, Schaeff er (2006) suggested a plan for implementing GS into a dairy breeding program.”
A new approach for efficient genotype imputation using information from relatives (2014, background): “Among genomic applications in livestock, especially in dairy cattle, genomic selection [1,2] can substantially increase response to selection per unit of time compared to traditional selection [3].”
Genome-wide selection in cassava (2012, result): “In dairy cattle, Schaeffer (2006) indicated that saving time and cost using genomic selection with a 0.75 accuracy could double the selection gain and provide up to 92 % savings compared to traditional selection methods.”
Mapping genes for complex traits in domestic animals and their use in breeding programmes (2009, background): “Genomic selection of dairy bulls at 1 year of age could greatly reduce the generation interval and hence speed up the rate of genetic improvemen”
Efficient methods to compute genomic predictions. (2008, background): “Genomic selection increases the rate of genetic improvement and reduces cost of progeny testing by allowing breeders to preselect animals that inherited chromosome segments of greater merit (Meuwissen et al., 2001; Schaeffer, 2006).”
Genomic selection: prediction of accuracy and maximisation of long term response (2009, methodology): “This hierarchical scheme is convenient when there are multiple alleles at a QTL but not necessary if there are only two alleles at each QTL. Assuming that the QTL effects follow a normal distribution with the same variance for all QTL, leads to BLUP estimates as used by Schaeffer (2006).”
Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years (2008, background): “In contrast, the cost of SNP genotyping ranges from about 3 cents to 15 cents per data point (Schaeff er, 2006; Ha et al., 2007; Hyten et al., 2008, E. Buckler, personal communication, 2008; G.J. Muehlbauer, personal communication, 2008), where one data point corresponds to one plant sample…”
Prospects for genomewide selection for quantitative traits in maize (2007, background): “Studies have indicated that genomewide selection leads to high correlations between predicted and true breeding value for a quantitative trait (Meuwissen et al., 2001) and is useful in dairy cattle (Bos taurus) breeding (Schaeff er, 2006).”