[HTML][HTML] Hybrid Prediction in Horticulture Crop Breeding: Progress and Challenges
C Liu, S Du, A Wei, Z Cheng, H Meng, Y Han - Plants, 2024 - mdpi.com
In the context of rapidly increasing population and diversified market demands, the steady
improvement of yield and quality in horticultural crops has become an urgent challenge that …
improvement of yield and quality in horticultural crops has become an urgent challenge that …
Strategies to Increase Prediction Accuracy in Genomic Selection of Complex Traits in Alfalfa (Medicago sativa L.)
Agronomic traits such as biomass yield and abiotic stress tolerance are genetically complex
and challenging to improve through conventional breeding approaches. Genomic selection …
and challenging to improve through conventional breeding approaches. Genomic selection …
Exploring deep learning for complex trait genomic prediction in polyploid outcrossing species
Genomic prediction (GP) is the procedure whereby the genetic merits of untested candidates
are predicted using genome wide marker information. Although numerous examples of GP …
are predicted using genome wide marker information. Although numerous examples of GP …
Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects
S Yadav, X Wei, P Joyce, F Atkin, E Deomano… - Theoretical and Applied …, 2021 - Springer
Key message Non-additive genetic effects seem to play a substantial role in the expression
of complex traits in sugarcane. Including non-additive effects in genomic prediction models …
of complex traits in sugarcane. Including non-additive effects in genomic prediction models …
A joint learning approach for genomic prediction in polyploid grasses
Poaceae, among the most abundant plant families, includes many economically important
polyploid species, such as forage grasses and sugarcane (Saccharum spp.). These species …
polyploid species, such as forage grasses and sugarcane (Saccharum spp.). These species …
Genomic selection in an outcrossing autotetraploid fruit crop: lessons from blueberry breeding
Blueberry (Vaccinium corymbosum and hybrids) is a specialty crop with expanding
production and consumption worldwide. The blueberry breeding program at the University of …
production and consumption worldwide. The blueberry breeding program at the University of …
Fully efficient, two-stage analysis of multi-environment trials with directional dominance and multi-trait genomic selection
JB Endelman - Theoretical and Applied Genetics, 2023 - Springer
Key message R/StageWise enables fully efficient, two-stage analysis of multi-environment,
multi-trait datasets for genomic selection, including support for dominance heterosis and …
multi-trait datasets for genomic selection, including support for dominance heterosis and …
Understanding the effectiveness of genomic prediction in tetraploid potato
Use of genomic prediction (GP) in tetraploid is becoming more common. Therefore, we think
it is the right time for a comparison of GP models for tetraploid potato. GP models were …
it is the right time for a comparison of GP models for tetraploid potato. GP models were …
Optimizing whole-genomic prediction for autotetraploid blueberry breeding
Blueberry (Vaccinium spp.) is an important autopolyploid crop with significant benefits for
human health. Apart from its genetic complexity, the feasibility of genomic prediction has …
human health. Apart from its genetic complexity, the feasibility of genomic prediction has …
Integrative multi-environmental genomic prediction in apple
Genomic prediction for multiple environments can aid the selection of genotypes suited to
specific soil and climate conditions. Methodological advances allow effective integration of …
specific soil and climate conditions. Methodological advances allow effective integration of …