[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 …
Genomic selection in hybrid breeding
While hybrid breeding is widely applied in outbreeding species, for many self‐pollinating
crop plants, it has only recently been established. This may have had its reason in the …
crop plants, it has only recently been established. This may have had its reason in the …
Comparing genomic selection and marker-assisted selection for Fusarium head blight resistance in wheat (Triticum aestivum L.)
Genomic selection (GS) and marker-assisted selection (MAS) rely on marker–trait
associations and are both routinely used for breeding purposes. Although similar, these two …
associations and are both routinely used for breeding purposes. Although similar, these two …
Hybrid breeding of rice via genomic selection
Hybrid breeding is the main strategy for improving productivity in many crops, especially in
rice and maize. Genomic hybrid breeding is a technology that uses whole‐genome markers …
rice and maize. Genomic hybrid breeding is a technology that uses whole‐genome markers …
Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review
C Anilkumar, NC Sunitha, Harikrishna, NB Devate… - Planta, 2022 - Springer
Main conclusion Genomic selection and its importance in crop breeding. Integration of GS
with new breeding tools and developing SOP for GS to achieve maximum genetic gain with …
with new breeding tools and developing SOP for GS to achieve maximum genetic gain with …
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 …
Natural variation for carotenoids in fresh kernels is controlled by uncommon variants in sweet corn
M Baseggio, M Murray… - The Plant …, 2020 - Wiley Online Library
Sweet corn (Zea mays L.) is highly consumed in the United States, but does not make major
contributions to the daily intake of carotenoids (provitamin A carotenoids, lutein and …
contributions to the daily intake of carotenoids (provitamin A carotenoids, lutein and …
[HTML][HTML] Genomic prediction in pea: effect of marker density and training population size and composition on prediction accuracy
N Tayeh, A Klein, MC Le Paslier, F Jacquin… - Frontiers in Plant …, 2015 - frontiersin.org
Pea is an important food and feed crop and a valuable component of low-input farming
systems. Improving resistance to biotic and abiotic stresses is a major breeding target to …
systems. Improving resistance to biotic and abiotic stresses is a major breeding target to …
[HTML][HTML] Integration of genotypic, hyperspectral, and phenotypic data to improve biomass yield prediction in hybrid rye
RJ Galán, AM Bernal-Vasquez, C Jebsen… - Theoretical and Applied …, 2020 - Springer
Key message Hyperspectral and genomic data are effective predictors of biomass yield in
winter rye. Variable selection procedures can improve the informativeness of reflectance …
winter rye. Variable selection procedures can improve the informativeness of reflectance …
Genomic selection for grain yield and quality traits in durum wheat
JK Haile, A N'Diaye, F Clarke, J Clarke, R Knox… - Molecular …, 2018 - Springer
The prediction accuracies of genomic selection depend on several factors, including the
genetic architecture of target traits, the number of traits considered at a given time, and the …
genetic architecture of target traits, the number of traits considered at a given time, and the …