[HTML][HTML] Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data

H Tong, Z Nikoloski - Journal of plant physiology, 2021 - Elsevier
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 …

Genomic selection in plant breeding: knowledge and prospects

AJ Lorenz, S Chao, FG Asoro, EL Heffner… - Advances in …, 2011 - Elsevier
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 …

Prediction of total genetic value using genome-wide dense marker maps

THE Meuwissen, BJ Hayes, ME Goddard - genetics, 2001 - academic.oup.com
Recent advances in molecular genetic techniques will make dense marker maps available
and genotyping many individuals for these markers feasible. Here we attempted to estimate …

Training set optimization under population structure in genomic selection

J Isidro, JL Jannink, D Akdemir, J Poland… - Theoretical and applied …, 2015 - Springer
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 …

Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers

J Crossa, G Campos, P Pérez, D Gianola… - Genetics, 2010 - academic.oup.com
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 …

Genomic heritability: what is it?

G de Los Campos, D Sorensen, D Gianola - PLoS Genetics, 2015 - journals.plos.org
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 …

Predicting quantitative traits with regression models for dense molecular markers and pedigree

G De Los Campos, H Naya, D Gianola, J Crossa… - Genetics, 2009 - academic.oup.com
The availability of genomewide dense markers brings opportunities and challenges to
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 …

Additive genetic variability and the Bayesian alphabet

D Gianola, G de Los Campos, WG Hill, E Manfredi… - Genetics, 2009 - academic.oup.com
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 …

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 …