Enhancing genetic gain through genomic selection: from livestock to plants
Although long-term genetic gain has been achieved through increasing use of modern
breeding methods and technologies, the rate of genetic gain needs to be accelerated to …
breeding methods and technologies, the rate of genetic gain needs to be accelerated to …
Big data analytics and precision animal agriculture symposium: Machine learning and data mining advance predictive big data analysis in precision animal agriculture
Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the
domains of management, production, welfare, sustainability, health surveillance, and …
domains of management, production, welfare, sustainability, health surveillance, and …
Metabolomic selection for enhanced fruit flavor
Although they are staple foods in cuisines globally, many commercial fruit varieties have
become progressively less flavorful over time. Due to the cost and difficulty associated with …
become progressively less flavorful over time. Due to the cost and difficulty associated with …
Genomic prediction contributing to a promising global strategy to turbocharge gene banks
The 7.4 million plant accessions in gene banks are largely underutilized due to various
resource constraints, but current genomic and analytic technologies are enabling us to mine …
resource constraints, but current genomic and analytic technologies are enabling us to mine …
Non-additive effects in genomic selection
In the last decade, genomic selection has become a standard in the genetic evaluation of
livestock populations. However, most procedures for the implementation of genomic …
livestock populations. However, most procedures for the implementation of genomic …
Genomic and environmental determinants and their interplay underlying phenotypic plasticity
Observed phenotypic variation in living organisms is shaped by genomes, environment, and
their interactions. Flowering time under natural conditions can showcase the diverse …
their interactions. Flowering time under natural conditions can showcase the diverse …
Machine learning for predicting phenotype from genotype and environment
Predicting phenotype with genomic and environmental information is critically needed and
challenging. Machine learning methods have emerged as powerful tools to make accurate …
challenging. Machine learning methods have emerged as powerful tools to make accurate …
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials
Modern whole-genome prediction (WGP) frameworks that focus on multi-environment trials
(MET) integrate large-scale genomics, phenomics, and envirotyping data. However, the …
(MET) integrate large-scale genomics, phenomics, and envirotyping data. However, the …
Genomic selection in a commercial winter wheat population
Key message Genomic selection models can be trained using historical data and filtering
genotypes based on phenotyping intensity and reliability criterion are able to increase the …
genotypes based on phenotyping intensity and reliability criterion are able to increase the …