Prospects for genomewide selection for quantitative traits in maize

By R. Bernardo, Jianming Yu. 2007

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View Paper: https://www.semanticscholar.org/paper/c897a62c5518be5427e33aaed0315a1b2bd72551

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In Genetics

In Plant Science

Citations in the corpus

Accuracy of Genomewide Selection for Different Traits with Constant Population Size, Heritability, and Number of Markers (2013, background): “h e QTL testcross ef ects, which are additive (Hallauer and Miranda, 1981), varied according to a geometric series (Lande and h ompson, 1990; Bernardo and Yu, 2007).”
Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP (2011, background): “Th e focus over the last decade has been on genomic selection methods, in which all markers are included in the prediction model (Bernardo and Yu, 2007; Heff ner et al., 2009; Jannink et al., 2010).”
The genetic dissection of quantitative traits in crops (2010, background): “…et al. 1997; Johnson, 2004; Bernardo and Charcosset, 2006) and genomewide selection (also called genomic selection), (Meuwissen et al. 2001; Bernardo and Yu, 2007; Wong and Bernardo, 2008; Bernardo, 2009; Heffner et al. 2009; Zhong et al. 2009; Jannink et al. 2010) have been proposed for…”
Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement (2013, background): “tion (Bernardo and Yu 2007; Meuwissen et al. 2001) have been proposed as approaches for accumulating”
Status and Prospects of Association Mapping in Plants (2008, neutral): “, 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.”
Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program (2011, result): “Genomic selection within each cross, herein referred to as biparental GS, has been shown to achieve higher prediction accuracies than conventional MAS in biparental populations both in simulations (Bernardo and Yu, 2007; Wong and Bernardo, 2008) and in empirical studies (Lorenzana and Bernardo, 2009”
Perspectives for Genomic Selection Applications and Research in Plants (2015, background): “With the advent of GS, efforts have been devoted to make those recurrent selection schemes work without identification of QTLs (Bernardo and Yu, 2007; Bernardo, 2009).”
Plant Breeding with Genomic Selection: Gain per Unit Time and Cost (2010, background): “Budgets Budgets for the maize and winter wheat breeding programs (Table 1) are represented by maize yield plot units (YPUs), that is, the cost of growing and evaluating a single maize yield trial plot where 1 YPU = US$20 (Bernardo and Yu, 2007).”
Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers (2012, background): “…molecular markers has made it possible to use genomic selection (GS) for the prediction of genetic values (Meuwissen et al., 2001) in plants (Bernardo and Yu, 2007; de los Campos et al., 2009, 2010; Crossa et al., 2010, 2011; Pérez et al., 2010) and animals (Hayes and Goddard, 2010; de los…”
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): “Simulation studies of specific species were firstly published for maize (Bernardo and Yu 2007), where a comparison between GS and marker-assisted recurrent selection (MARS) was demonstrated for three cycles of selection of doubled haploid lines (DHLs).”
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. (2010, positive): “The reduction in generation interval attainable by selection based on markers may increase the rate of genetic progress and, at the same time, the cost of phenotyping would be reduced (e.g. Bernardo & Yu, 2007; Heﬀner et al ., 2009).”
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).”