[HTML][HTML] Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …
the breeding cycle in major crops relevant for sustaining present demands for food, feed …
Genomic selection in plant breeding: knowledge and prospects
Abstract “Genomic selection,” the ability to select for even complex, quantitative traits based
on marker data alone, has arisen from the conjunction of new high-throughput marker …
on marker data alone, has arisen from the conjunction of new high-throughput marker …
Prediction of total genetic value using genome-wide dense marker maps
Recent advances in molecular genetic techniques will make dense marker maps available
and genoty** many individuals for these markers feasible. Here we attempted to estimate …
and genoty** many individuals for these markers feasible. Here we attempted to estimate …
Training set optimization under population structure in genomic selection
Key message Population structure must be evaluated before optimization of the training set
population. Maximizing the phenotypic variance captured by the training set is important for …
population. Maximizing the phenotypic variance captured by the training set is important for …
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers
The availability of dense molecular markers has made possible the use of genomic selection
(GS) for plant breeding. However, the evaluation of models for GS in real plant populations …
(GS) for plant breeding. However, the evaluation of models for GS in real plant populations …
Genomic heritability: what is it?
Whole-genome regression methods are being increasingly used for the analysis and
prediction of complex traits and diseases. In human genetics, these methods are commonly …
prediction of complex traits and diseases. In human genetics, these methods are commonly …
Predicting quantitative traits with regression models for dense molecular markers and pedigree
The availability of genomewide dense markers brings opportunities and challenges to
breeding programs. An important question concerns the ways in which dense markers and …
breeding programs. An important question concerns the ways in which dense markers and …
Accuracy of genotypic value predictions for marker-based selection in biparental plant populations
RE Lorenzana, R Bernardo - Theoretical and applied genetics, 2009 - Springer
The availability of cheap and abundant molecular markers has led to plant-breeding
methods that rely on the prediction of genotypic value from marker data, but published …
methods that rely on the prediction of genotypic value from marker data, but published …
Additive genetic variability and the Bayesian alphabet
The use of all available molecular markers in statistical models for prediction of quantitative
traits has led to what could be termed a genomic-assisted selection paradigm in animal and …
traits has led to what could be termed a genomic-assisted selection paradigm in animal and …
The Gini index and measures of inequality
FA Farris - The American Mathematical Monthly, 2010 - Taylor & Francis
The Gini index is a summary statistic that measures how equitably a resource is distributed
in a population; income is a primary example. In addition to a self-contained presentation of …
in a population; income is a primary example. In addition to a self-contained presentation of …