Molecular Markers in a Commercial Breeding Program

By S. Eathington, T. M. Crosbie, M. Edwards, R. Reiter, J. Bull. 2007

368 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bdca45519783abd80ab6e0bca062695384cd1eca

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In Genetics

In Plant Science

Citations in the corpus

Abiotic stresses, constraints and improvement strategies in chickpea (2014, background): “Experimental as well as simulation results have confirmed that the magnitude of genetic gains achievable through MARS scheme is more than the phenotypic selection (PS) and MABC (Bernardo and Charcosset 2006, Eathington et al. 2007, Ribaut and Ragot 2007, Gupta et al. 2010).”
Molecular marker-assisted breeding options for maize improvement in Asia (2010, methodology): “Some of the important factors that contributed to effective use of MAS schemes in maize breeding, specifically by the private sector, have been the use of year-round nurseries or continuous nurseries, high throughput genotyping and phenotyping, and efficient integration of phenotypic and genotypic d”
Genetic engineering and breeding of drought-resistant crops. (2014, methodology): “MARS was successfully used to develop superior varieties of sweet corn, sunflower, and soybean (25).”
Genomic selection in plant breeding: from theory to practice. (2010, background): “lutionizing both animal [19, 25] and plant [26, 27] breeding.”
Potential of the micro and macro algae for biofuel production: a brief review. (2013, background): “With advanced biochemical and molecular techniques such as DNA recombination and site-directed mutagenesis, more groundbreaking outcomes could be expected to be employed in the near future (Eathington et al. 2007).”
Development, Characterization, and Linkage Mapping of Single Nucleotide Polymorphisms in the Grain Amaranths (Amaranthus sp.) (2011, background): “…with the nano-fl uidic Fluidigm chip reduced the overall data point cost to US$0.05 per data point—an important feature considering that the implementation of marker-assisted breeding strategies oft en requires the generation of thousands of data points per population (Eathington et al., 2007).”
Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years (2008, background): “Private breeding companies in turn have developed their own QTL analysis tools that are integrated with company infrastructure for managing both marker and non-marker data (Eathington et al., 2007).”
Marker-Assisted Plant Breeding: Principles and Practices (2015, methodology): “Monsanto uses a gel-free SNP detection system and a completely automated genotyping procedure (Eathington et al. 2007).”
Current knowledge on Amaranthus spp.: research avenues for improved nutritional value and yield in leafy amaranths in sub-Saharan Africa (2014, background): “Genetic markers are essential tools for modern plant breeding research programs (Eathington et al. 2007).”
Genetic Improvement of U.S. Soybean in Maturity Groups II, III, and IV (2014, background): “In addition, improvements in plot planting, harvesting equipment, and computing capacity enabled increases in field plot testing and improved precision in selection, resulting in greater genetic gains (Eathington et al., 2007).”
Genomic Selection for Crop Improvement (2017, neutral): “For example, the Monsanto Company (St. Louis, MO) reported that from 2000 to 2006, they experienced a sixfold decrease in cost per marker data point and increased the volume of their marker data by 40-fold (Eathington et al., 2007).”
Genome Editing of Plants (2017, background): “The first recognition of the value of quantitative trait loci as markers in plant breeding by Edwards et al. (1987) was a breakthrough advancement in plant breeding.”
Drought Tolerance in Maize: Indirect Selection through Secondary Traits versus Genomewide Selection (2013, background): “Furthermore, gains per unit time can be maximized by conducting up to three generations of genomewide selection in 1 yr in greenhouses or year-round nurseries (Bernardo and Yu, 2007; Eathington et al., 2007; Bernardo, 2008).”
Global status of commercialized biotech/GM crops: 2006. (2006, methodology): “Because these techniques rely on a dense marker map (usually of SNPs), extensive bioinformatics capacity and large-scale precision phenotyping, they are mainly restricted to the big commercial seed companies (Crosbie et al., 2006; Eathington et al., 2007; Bernardo, 2008).”
Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program (2011, background): “Th e latter is more feasible for public plant breeding programs, but both seem possible for well-funded programs with extensive testing regimens (e.g., Eathington et al., 2007; Sebastian et al., 2010).”
Development of genome-wide SNP assays for rice (2010, background): “…used in breeding programs for markerassisted and genomic selection, association and QTL mapping, positional cloning, haplotype and pedigree analysis, seed purity testing and variety identification (Bernardo 2008, Eathington et al. 2007, Jannink et al. 2010, Lorenz et al. 2010, Moose and Mumm 2008).”