Plant Breeding with Genomic Selection: Gain per Unit Time and Cost

By E. Heffner, A. Lorenz, Jean-Luc Jannink, M. Sorrells. 2010

603 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/72dee002172d47e1e2c22092b530311e43250f10

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Citations in the corpus

Genomic Prediction of Genetic Values for Resistance to Wheat Rusts (2012, methodology): “For example, genotyping can be used to select the best candidates before conducting field tests, thus reducing the number of evaluation plots (Heffner et al., 2010).”
Genome-wide selection in cassava (2012, background): “In plant species, Heffner et al. (2010) evaluated the cost of genomic selection in relation to MAS and indicated that 0.5 selection accuracy would ensure twice the gain per year compared to MAS in lowinvestment wheat improvement programs.”
Marker-Assisted Plant Breeding: Principles and Practices (2015, background): “Simulation studies show that the above combined selection index approach of GS increases the effectiveness of selection, particularly for low heritability traits (Dekkers 2007; Heffner et al. 2010).”
Perspectives for Genomic Selection Applications and Research in Plants (2015, background): “Depending on breeding cycle length (time between new crosses) and time necessary to phenotype, using markers to select individuals can greatly shorten the selection cycle (Schaeffer, 2006; König et al., 2009; Heffner et al., 2010) and thus increase genetic gain per unit time and cost compared to phe”
REVIEW: PART OF A HIGHLIGHT ON BREEDING STRATEGIES FOR FORAGE AND GRASS IMPROVEMENT Will genomic selection be a practical method for plant breeding? (2012, background): “Interestingly, Heffner et al. (2010) also proposed using traditional MAS for important QTLs in the F2 and F3 generations, before GS in the F5 generation.”
Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program (2011, methodology): “However, in practice, the lag between TP and SP may be greater because several GS cycles may occur while selected lines go through seed increases and/or inbreeding cycles before entering the TP to update the model (e.g., Heffner et al., 2010).”
Evaluation of Genomic Prediction Methods for Fusarium Head Blight Resistance in Wheat (2012, background): “GS is already routinely used in dairy cattle breeding and should become an important tool in plant breeding because it can lead to greater gain from selection per unit of time and cost compared to phenotypic selection (Heffner et al., 2010).”
Pea (Pisum sativum L.) in the Genomic Era (2012, background): “association studies (GWAS) [145,146] as well as genomic selection [147].”
Applied Genetics and Genomics in Alfalfa Breeding (2012, background): “As genotyping costs decrease, GS should outperform phenotypic selection in terms of gain per unit time and cost [114].”
Development of genome-wide SNP assays for rice (2010, background): “That support must enable a breeder to obtain reliable marker information on an appropriate number of samples in real time, and the marker-supported genetic gain and improvements in breeding efficiency must compensate for the cost of the SNP genotyping (Heffner et al. 2010).”
Genomic Selection for Forest Tree Improvement: Methods, Achievements and Perspectives (2020, background): “GS proved to be thrice as efficient as MAS in maize and twice as efficient as MAS in wheat [17].”