Genomewide Selection versus Marker‐assisted Recurrent Selection to Improve Grain Yield and Stover‐quality Traits for Cellulosic Ethanol in Maize

By J. Massman, Hans-Joachim G. Jung, R. Bernardo. 2013

199 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/67124e445b3df028fbafe74163fbb7cce7ec7c14

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In Genetics

In Plant Science

Citations in the corpus

Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation (2014, background): “Also, while accurate selection decisions can be made with a small number of markers and phenotypes within sets of very closely related individuals, such as within biparental populations (Bernardo and Yu, 2007; Lorenzana and Bernardo, 2009; Massman et al., 2013), larger numbers of markers and phenoty”
Drought Tolerance in Maize: Indirect Selection through Secondary Traits versus Genomewide Selection (2013, background): “On the other hand, results from empirical experiments in maize at the University of Minnesota have suggested diminishing or erratic gains from later cycles of genomewide selection (Massman et al., 2012).”
Perspectives for Genomic Selection Applications and Research in Plants (2015, methodology): “A few validation experiments of marker-assisted recurrent selection with GS have been published recently, and a number of others are under way (Massman et al., 2012; Asoro et al., 2013; Combs and Bernardo, 2013).”
Genomewide Prediction Accuracy within 969 Maize Biparental Populations (2014, methodology): “These rules of thumb apply to using a subset of a biparental cross to predict the performance of a remaining, unphenotyped subset of the same biparental cross or for recurrent genomewide selection within the same biparental cross (Combs and Bernardo, 2013b; Massman et al., 2013).”
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. (2017, background): “[44] and showed that GS improved maize genetic gains per unit of time.”
Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress (2015, methodology): “The higher gain observed in C1 over C2 is consistent with the findings of previous empirical and simulation studies (Bernardo and Yu, 2007; Massman et al., 2013).”
Improving Maize Grain Yield under Drought Stress and Non-stress Environments in Sub-Saharan Africa using Marker-Assisted Recurrent Selection (2016, background): “Massman et al. (2013) compared the response of GS and MARS on stover and GY in a biparental maize population derived from a cross between B73 and Mo17.”