Genetic Dissection of Grain Yield of Maize and Yield-Related Traits Through Association Mapping and Genomic Prediction
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Genetic Dissection of Grain Yield of Maize and Yield-Related Traits Through Association Mapping and Genomic Prediction
Authors
Keywords
-
Journal
Frontiers in Plant Science
Volume 12, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2021-07-15
DOI
10.3389/fpls.2021.690059
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size
- (2021) Juan Ma et al. Frontiers in Plant Science
- Genomic Prediction for Grain Yield and Yield-Related Traits in Chinese Winter Wheat
- (2020) Mohsin Ali et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Incorporating Genome-Wide Association Mapping Results Into Genomic Prediction Models for Grain Yield and Yield Stability in CIMMYT Spring Bread Wheat
- (2020) Deepmala Sehgal et al. Frontiers in Plant Science
- A combination of linkage mapping and GWAS brings new elements on the genetic basis of yield-related traits in maize across multiple environments
- (2020) Xiaoxiang Zhang et al. THEORETICAL AND APPLIED GENETICS
- Optimal Designs for Genomic Selection in Hybrid Crops
- (2019) Tingting Guo et al. Molecular Plant
- Factors Affecting the Accuracy of Genomic Selection for Agricultural Economic Traits in Maize, Cattle, and Pig Populations
- (2019) Haohao Zhang et al. Frontiers in Genetics
- Editorial: The Applications of New Multi-Locus GWAS Methodologies in the Genetic Dissection of Complex Traits
- (2019) Yuan-Ming Zhang et al. Frontiers in Plant Science
- Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize
- (2019) Yibing Yuan et al. Frontiers in Plant Science
- Evaluation of genomic selection methods for predicting fiber quality traits in Upland cotton
- (2019) Md Sariful Islam et al. MOLECULAR GENETICS AND GENOMICS
- Improving Genomic Selection With Quantitative Trait Loci and Nonadditive Effects Revealed by Empirical Evidence in Maize
- (2019) Xiaogang Liu et al. Frontiers in Plant Science
- Accuracy of genomic selection for grain yield and agronomic traits in soft red winter wheat
- (2019) Dennis N. Lozada et al. BMC GENETICS
- Machine Learning Approach for Prescriptive Plant Breeding
- (2019) Kyle A. Parmley et al. Scientific Reports
- Empirical Comparison of Tropical Maize Hybrids Selected Through Genomic and Phenotypic Selections
- (2019) Yoseph Beyene et al. Frontiers in Plant Science
- GWAS-Assisted Genomic Prediction to Predict Resistance to Septoria Tritici Blotch in Nordic Winter Wheat at Seedling Stage
- (2019) Firuz Odilbekov et al. Frontiers in Genetics
- Genomic Selection Outperforms Marker Assisted Selection for Grain Yield and Physiological Traits in a Maize Doubled Haploid Population Across Water Treatments
- (2018) Diego Cerrudo et al. Frontiers in Plant Science
- Genomic selection efficiency and a priori estimation of accuracy in a structured dent maize panel
- (2018) Simon Rio et al. THEORETICAL AND APPLIED GENETICS
- Accuracy of within- and among-family genomic prediction for Fusarium head blight and Septoria tritici blotch in winter wheat
- (2018) Cathérine Pauline Herter et al. THEORETICAL AND APPLIED GENETICS
- Across-years prediction of hybrid performance in maize using genomics
- (2018) Tobias A. Schrag et al. THEORETICAL AND APPLIED GENETICS
- Enhancing genomic prediction with genome-wide association studies in multiparental maize populations
- (2017) Y Bian et al. HEREDITY
- Molecular mapping of quantitative trait loci for three kernel-related traits in maize using a double haploid population
- (2017) Zi Shi et al. MOLECULAR BREEDING
- Advantages and limitations of multiple-trait genomic prediction for Fusarium head blight severity in hybrid wheat (Triticum aestivum L.)
- (2017) Albert W. Schulthess et al. THEORETICAL AND APPLIED GENETICS
- Analysis of the genetic architecture of maize ear and grain morphological traits by combined linkage and association mapping
- (2017) Chaoshu Zhang et al. THEORETICAL AND APPLIED GENETICS
- Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
- (2017) José Crossa et al. TRENDS IN PLANT SCIENCE
- Optimizing Training Population Size and Genotyping Strategy for Genomic Prediction Using Association Study Results and Pedigree Information. A Case of Study in Advanced Wheat Breeding Lines
- (2017) Fabio Cericola et al. PLoS One
- Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement
- (2016) J E Spindel et al. HEREDITY
- Comparing genomic selection and marker-assisted selection for Fusarium head blight resistance in wheat (Triticum aestivum L.)
- (2016) M. P. Arruda et al. MOLECULAR BREEDING
- Genome-wide analysis of yield in Europe: allelic effects as functions of drought and heat scenarios
- (2016) Emilie Millet et al. PLANT PHYSIOLOGY
- Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction
- (2016) Abelardo Montesinos-López et al. G3-Genes Genomes Genetics
- Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies
- (2016) Xiaolei Liu et al. PLoS Genetics
- Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and Statistical Model on Accuracy of Rice Genomic Selection in Elite, Tropical Rice Breeding Lines
- (2015) Jennifer Spindel et al. PLoS Genetics
- Genome-Wide Regression and Prediction with the BGLR Statistical Package
- (2014) P. Perez et al. GENETICS
- The impact of population structure on genomic prediction in stratified populations
- (2014) Zhigang Guo et al. THEORETICAL AND APPLIED GENETICS
- Kernel-based whole-genome prediction of complex traits: a review
- (2014) Gota Morota et al. Frontiers in Genetics
- Genomewide Selection when Major Genes Are Known
- (2013) Rex Bernardo CROP SCIENCE
- GAPIT: genome association and prediction integrated tool
- (2012) Alexander E. Lipka et al. BIOINFORMATICS
- Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers
- (2012) Juan Burgueño et al. CROP SCIENCE
- Genomewide Selection versus Marker-assisted Recurrent Selection to Improve Grain Yield and Stover-quality Traits for Cellulosic Ethanol in Maize
- (2012) Jon M. Massman et al. CROP SCIENCE
- Genomic and metabolic prediction of complex heterotic traits in hybrid maize
- (2012) Christian Riedelsheimer et al. NATURE GENETICS
- Genome-enabled prediction of genetic values using radial basis function neural networks
- (2012) J. M. González-Camacho et al. THEORETICAL AND APPLIED GENETICS
- Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
- (2012) Paulino Pérez-Rodríguez et al. G3-Genes Genomes Genetics
- Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat
- (2011) Daniel Gianola et al. BMC GENETICS
- Genomic Selection in Plant Breeding: A Comparison of Models
- (2011) Nicolas Heslot et al. CROP SCIENCE
- Evaluation of genome-wide selection efficiency in maize nested association mapping populations
- (2011) Zhigang Guo et al. THEORETICAL AND APPLIED GENETICS
- Accuracy of genomic selection in European maize elite breeding populations
- (2011) Yusheng Zhao et al. THEORETICAL AND APPLIED GENETICS
- Mixed linear model approach adapted for genome-wide association studies
- (2010) Zhiwu Zhang et al. NATURE GENETICS
- ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
- (2010) K. Wang et al. NUCLEIC ACIDS RESEARCH
- Reproducing Kernel Hilbert Spaces Regression Methods for Genomic Assisted Prediction of Quantitative Traits
- (2008) D. Gianola et al. GENETICS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started