Integrated genomic selection for accelerating breeding programs of climate-smart cereals
Rapidly rising population and climate changes are two critical issues that require immediate
action to achieve sustainable development goals. The rising population is posing increased …
action to achieve sustainable development goals. The rising population is posing increased …
[HTML][HTML] Integrated genomic selection for rapid improvement of crops
An increase in the rate of crop improvement is essential for achieving sustained food
production and other needs of ever-increasing population. Genomic selection (GS) is a …
production and other needs of ever-increasing population. Genomic selection (GS) is a …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
Accelerating genetic gain in sugarcane breeding using genomic selection
Sugarcane is a major industrial crop cultivated in tropical and subtropical regions of the
world. It is the primary source of sugar worldwide, accounting for more than 70% of world …
world. It is the primary source of sugar worldwide, accounting for more than 70% of world …
Genomic prediction and GWAS of yield, quality and disease-related traits in spring barley and winter wheat
Genome-wide association study (GWAS) and genomic prediction (GP) are extensively
employed to accelerate genetic gain and identify QTL in plant breeding. In this study, 1,317 …
employed to accelerate genetic gain and identify QTL in plant breeding. In this study, 1,317 …
Genomic selection in cereal breeding
CD Robertsen, RL Hjortshøj, LL Janss - Agronomy, 2019 - mdpi.com
Genomic Selection (GS) is a method in plant breeding to predict the genetic value of
untested lines based on genome-wide marker data. The method has been widely explored …
untested lines based on genome-wide marker data. The method has been widely explored …
Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality
Abstract Key Message Multi-trait genomic prediction models are useful to allocate available
resources in breeding programs by targeted phenotyping of correlated traits when predicting …
resources in breeding programs by targeted phenotyping of correlated traits when predicting …
Training population selection and use of fixed effects to optimize genomic predictions in a historical USA winter wheat panel
JM Sarinelli, JP Murphy, P Tyagi, JB Holland… - Theoretical and Applied …, 2019 - Springer
Key message The optimization of training populations and the use of diagnostic markers as
fixed effects increase the predictive ability of genomic prediction models in a cooperative …
fixed effects increase the predictive ability of genomic prediction models in a cooperative …
Phenotype prediction and genome-wide association study using deep convolutional neural network of soybean
Genomic selection uses single-nucleotide polymorphisms (SNPs) to predict quantitative
phenotypes for enhancing traits in breeding populations and has been widely used to …
phenotypes for enhancing traits in breeding populations and has been widely used to …
Chile Pepper (Capsicum) Breeding and Improvement in the “Multi-Omics” Era
Chile pepper (Capsicum spp.) is a major culinary, medicinal, and economic crop in most
areas of the world. For more than hundreds of years, chile peppers have “defined” the state …
areas of the world. For more than hundreds of years, chile peppers have “defined” the state …