Usefulness of gene information in marker-assisted recurrent selection: A simulation appraisal

By R. Bernardo, Alain Charcosset. 2006

159 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/08a4702c954809d20e04443d0ee00fc1e3fab00d

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In Genetics

In Plant Science

Citations in the corpus

Abiotic stresses, constraints and improvement strategies in chickpea (2014, background): “Nevertheless, in contrast to MABC which exploits pre-estimated QTL effects, MARS scheme involves the construction of an ad hoc marker index, and this is further accompanied by marker index-based selections of desirable genotypes and intercrossing of the selected individuals in advanced generations (”
Molecular marker-assisted breeding options for maize improvement in Asia (2010, background): “Bernardo and Charcosset (2006) examined the usefulness of having prior knowledge of QTLs under genetic models that included different numbers of QTLs, different levels of heritability, unequal gene effects, linkage, and epistasis, and concluded that with known QTL, MARS is most beneficial for…”
Genomewide Selection versus Marker‐assisted Recurrent Selection to Improve Grain Yield and Stover‐quality Traits for Cellulosic Ethanol in Maize (2013, methodology): “In MARS, multiple regression of Stover Index and Yield + Stover Index values on the number of marker alleles (0 or 2) from B73 was performed on a chromosome-by-chromosome basis (Bernardo and Charcosset, 2006).”
Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years (2008, background): “Simulation studies for maize have indicated that for a population size of 144 F2 plants, the response to MARS is largest when about 128 markers are used (Bernardo and Charcosset, 2006).”
Prospects for genomewide selection for quantitative traits in maize (2007, background): “Estimation of Marker Effects in MARS Procedures for estimating marker eff ects in MARS have been described previously (Bernardo and Charcosset, 2006; Bernardo et al., 2006) but are repeated here for convenience.”
Status and Prospects of Association Mapping in Plants (2008, unknown): “, F 2 , BC 1 , or three-way cross), marker-assisted recurrent selection (MARS) (Bernardo and Charcosset, 2006; Johnson, 2004) and genome-wide selection (GS) (Bernardo and Yu, 2007) can be implemented.”
Revealing the genetic architecture of FHB resistance in hexaploid wheat (Triticum aestivum L.) by QTL meta-analysis (2009, background): “…(R2) is the key component for assessing the relative advantage of MAS over phenotypic selection as simulation studies showed that it is often advantageous for MAS to consider only major QTL as selecting for minor QTL may diminish response to selection (Bernardo 2001; Bernardo and Charcosset 2006).”
Smart Engineering of Genetic Resources for Enhanced Salinity Tolerance in Crop Plants (2016, methodology): “MARS is carried out by crossing selected individuals in each selection cycle to facilitate the introduction of favorable alleles at the target loci one at a time or via the integration of a number of crossing and selection schemes.”
Management of Virus and Viroid Diseases of Crops in the Tropics (2014, background): “More information on this aspect can be obtained from review and book chapters (Bernardo and Charcosset 2006; Prasanna and Firoz Hossain 2010; Bhat et al. 2010; Jonah et al. 2011; Setti Benali et al. 2011).”
Application of population genetic theory and simulation models to efficiently pyramid multiple genes via marker-assisted selection (2007, background): “One is based on an index comprising both phenotypic value (usually for quantitative traits) and marker type (Lande and Thompson, 1990; Servin et al., 2004; Bernardo and Charcosset, 2006).”
Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement (2013, background): “To overcome some of the problems in fine-mapping and/or validating minor QTL, MARS (Bernardo and Charcosset 2006) and genome-wide (genomic) selection (Bernardo and Yu 2007; Meuwissen et al. 2001) have been proposed as approaches for accumulating favorable alleles from many QTL for highly polygenic…”
A review of breeding objectives, genomic resources, and marker-assisted methods in common bean (Phaseolus vulgaris L.) (2019, background): “Bernardo and Charcosset (2006) reported that MARS is effective for identifying multiple genomic regions and to detect both minor and major QTLs.”
Marker-Assisted Selection in Plant Breeding: From Publications to Practice (2008, background): “Bernardo and Charcosset (2006) showed that poor estimates of the allele eff ects within the selected population, even when genes are known, reduced MAS effi ciency.”