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 …
Genome and environment based prediction models and methods of complex traits incorporating genotype× environment interaction
J Crossa, OA Montesinos-Lopez… - Genomic Prediction of …, 2022 - Springer
Genomic-enabled prediction models are of paramount importance for the successful
implementation of genomic selection (GS) based on breeding values. As opposed to animal …
implementation of genomic selection (GS) based on breeding values. As opposed to animal …
Multi-environment genomic prediction of plant traits using deep learners with dense architecture
A Montesinos-López… - G3: Genes …, 2018 - academic.oup.com
Genomic selection is revolutionizing plant breeding and therefore methods that improve
prediction accuracy are useful. For this reason, active research is being conducted to build …
prediction accuracy are useful. For this reason, active research is being conducted to build …
Deep kernel for genomic and near infrared predictions in multi-environment breeding trials
J Cuevas, O Montesinos-López… - G3: Genes …, 2019 - academic.oup.com
Kernel methods are flexible and easy to interpret and have been successfully used in
genomic-enabled prediction of various plant species. Kernel methods used in genomic …
genomic-enabled prediction of various plant species. Kernel methods used in genomic …
Evaluating the accuracy of genomic prediction for the management and conservation of relictual natural tree populations
S Arenas, AJ Cortés, A Mastretta-Yanes… - Tree Genetics & …, 2021 - Springer
Studying and understanding the evolution of relictual natural populations is critical for
developing conservation initiatives of endangered species, such as management in situ and …
developing conservation initiatives of endangered species, such as management in situ and …
Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (Oryza sativa L.)
Y Zhang, M Zhang, J Ye, Q Xu, Y Feng, S Xu, D Hu… - Molecular …, 2023 - Springer
Accurately identifying varieties with targeted agronomic traits was thought to contribute to
genetic selection and accelerate rice breeding progress. Genomic selection (GS) is a …
genetic selection and accelerate rice breeding progress. Genomic selection (GS) is a …
Genomic selection for tolerance to aluminum toxicity in a synthetic population of upland rice
J Bartholomé, JO Ospina, M Sandoval, N Espinosa… - PloS one, 2024 - journals.plos.org
Over half of the world's arable land is acidic, which constrains cereal production. In South
America, different rice-growing regions (Cerrado in Brazil and Llanos in Colombia and …
America, different rice-growing regions (Cerrado in Brazil and Llanos in Colombia and …
Genomic prediction accounting for genotype by environment interaction offers an effective framework for breeding simultaneously for adaptation to an abiotic stress …
M Ben Hassen, J Bartholomé, G Valè… - G3: Genes …, 2018 - academic.oup.com
Developing rice varieties adapted to alternate wetting and drying water management is
crucial for the sustainability of irrigated rice cropping systems. Here we report the first study …
crucial for the sustainability of irrigated rice cropping systems. Here we report the first study …
Genomic-enabled prediction kernel models with random intercepts for multi-environment trials
In this study, we compared the prediction accuracy of the main genotypic effect model (MM)
without G× E interactions, the multi-environment single variance G× E deviation model …
without G× E interactions, the multi-environment single variance G× E deviation model …