Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years

By R. Bernardo. 2008

879 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4f26e317700b77a535525698f92606c11059d04e

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In Plant Science

Citations in the corpus

The genetic dissection of quantitative traits in crops (2010, methodology): “…and genotype the population with markers spaced about 10 to 15 cM apart, then an analysis of the phenotypic and marker data with an appropriate statistical method will almost always lead to the identification of at least a few markers associated with each trait of interest (Bernardo, 2008).”
Genomic selection for durable stem rust resistance in wheat (2011, background): “One major concern for GS performance when SCs are unrelated to the TP is that, even if sufficient markers and training records are available, marker effects will be inconsistent because of the presence of different alleles, allele frequencies, and genetic background effects, i.e. epistasis ( Bernard”
Marker-assisted wheat breeding: present status and future possibilities (2010, background): “(i) Marker-assisted recurrent selection (MARS) This approach generally involves repeated use of segregating populations for MAS followed by intermating among selected individuals in each generation, leading to the development of superior genotypes (for more details, see Bernardo 2008).”
Genomic selection in forest tree breeding: the concept and an outlook to the future (2014, methodology): “Following Bernardo (2008), Google Scholar was used to tally the number of published papers having all the following words ‘‘QTL, QTLs, forest trees, MAS’’ that New Forests appear anywhere in a manuscript.”
Comparing genomic selection and marker-assisted selection for Fusarium head blight resistance in wheat (Triticum aestivum L.) (2016, neutral): “In a simulation study, Bernardo (2014) observed that having a single gene treated as fixed in GS using RR-BLUP was never disadvantageous, except when the variability explained by the major gene was lower than 10 %.”
Meta-analysis of constitutive and adaptive QTL for drought tolerance in maize (2010, methodology): “Molecular markers linked with Fhb1 were used to improve resistance to wheat Fusarium head blight and SSR (Simple sequence repeat) marker sat309 was used for selection to soybean cyst nematode after confirming their effects in other mapping populations (Bernardo 2008).”
Development of multiple SNP marker panels affordable to breeders through genotyping by target sequencing (GBTS) in maize (2019, background): “These companies have gained technical and market advantages through the construction of comprehensive technical platform, large-scale application, equipment, reagents, and materials needed to obtain genotyping technology at lower cost (Bernardo 2008).”
Applied Genetics and Genomics in Alfalfa Breeding (2012, background): “The alternative to GS is selection based only on a subset of markers known to be associated with QTL for the trait(s) of interest [120].”
Genomic selection in forest tree breeding (2011, background): “…the attention of crop (Bernardo and Yu 2007; Heffner et al. 2009; Zhong et al. 2009; Jannink et al. 2010) and perennial plant breeders (Wong and Bernardo 2008) indicating the excellent prospects of this technology in different crops, although reports of realized gains for plants are still…”
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).”
Morphological and physiological traits for higher biomass production in perennial rhizomatous grasses grown on marginal land (2015, methodology): “Major advances in gene and quantitative trait loci (QTL) discovery and selection are expected with the boom in crop genomics brought about by adoption of next generation DNA and RNA sequencing approaches for expression studies and the generation of high density transferable single nucleotide polymor”
Marker-Assisted Selection in Tomato Breeding (2012, background): “3) heritability (h2) and those which are controlled by rather small numbers of QTLs with large effects (Stuber et al., 1999; Bernardo, 2008; Liu et al., 2008).”
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. (2017, background): “More than 10 000 QTLs using different marker systems have been reported in more than 120 studies covering 12 plant species [1] that aimed to improve quantitative traits of economic importance.”
Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP (2011, background): “THE ABILITY TO PREDICT COMPLEX TRAITS from marker data is becoming increasingly important in plant breeding (Bernardo, 2008).”
Genomic selection in plant breeding: from theory to practice. (2010, neutral): “traits [3, 4].”