Accelerating crop genetic gains with genomic selection
Key message Genomic prediction based on additive genetic effects can accelerate genetic
gain. There are opportunities for further improvement by including non-additive effects that …
gain. There are opportunities for further improvement by including non-additive effects that …
Correlational selection in the age of genomics
Ecologists and evolutionary biologists are well aware that natural and sexual selection do
not operate on traits in isolation, but instead act on combinations of traits. This long …
not operate on traits in isolation, but instead act on combinations of traits. This long …
Towards a whole‐genome sequence for rye (Secale cereale L.)
We report on a whole‐genome draft sequence of rye (Secale cereale L.). Rye is a diploid
Triticeae species closely related to wheat and barley, and an important crop for food and …
Triticeae species closely related to wheat and barley, and an important crop for food and …
Optimising genomic selection in wheat: effect of marker density, population size and population structure on prediction accuracy
Genomic selection applied to plant breeding enables earlier estimates of a line's
performance and significant reductions in generation interval. Several factors affecting …
performance and significant reductions in generation interval. Several factors affecting …
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 …
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 …
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 …
High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage
Genomic selection (GS) models have been validated for many quantitative traits in wheat
(Triticum aestivum L.) breeding. However, those models are mostly constrained within the …
(Triticum aestivum L.) breeding. However, those models are mostly constrained within the …
[HTML][HTML] Integrating high-throughput phenotyping and statistical genomic methods to genetically improve longitudinal traits in crops
The rapid development of remote sensing in agronomic research allows the dynamic nature
of longitudinal traits to be adequately described, which may enhance the genetic …
of longitudinal traits to be adequately described, which may enhance the genetic …
Genomic selection in preliminary yield trials in a winter wheat breeding program
Genomic prediction (GP) is now routinely performed in crop plants to predict unobserved
phenotypes. The use of predicted phenotypes to make selections is an active area of …
phenotypes. The use of predicted phenotypes to make selections is an active area of …