A review of deep learning applications for genomic selection
OA Montesinos-López, A Montesinos-López… - BMC genomics, 2021 - Springer
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …
methods have been proposed including the standard additive genetic effect model for which …
A systematic review of durum wheat: Enhancing production systems by exploring genotype, environment, and management (G× E× M) synergies
According to the UN-FAO, agricultural production must increase by 50% by 2050 to meet
global demand for food. This goal can be accomplished, in part, by the development of …
global demand for food. This goal can be accomplished, in part, by the development of …
[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 …
[HTML][HTML] From markers to genome-based breeding in wheat
A Rasheed, X Xia - Theoretical and Applied Genetics, 2019 - Springer
Key message Recent technological advances in wheat genomics provide new opportunities
to uncover genetic variation in traits of breeding interest and enable genome-based …
to uncover genetic variation in traits of breeding interest and enable genome-based …
Genome-wide association study and genomic selection for yield and related traits in soybean
Soybean [Glycine max (L.) Merr.] is a crop of great interest worldwide. Exploring molecular
approaches to increase yield genetic gain has been one of the main challenges for soybean …
approaches to increase yield genetic gain has been one of the main challenges for soybean …
Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding
S Michel, F Löschenberger, C Ametz, B Pachler… - Theoretical and Applied …, 2019 - Springer
Key message Large genetic improvement can be achieved by simultaneous genomic
selection for grain yield and protein content when combining different breeding strategies in …
selection for grain yield and protein content when combining different breeding strategies in …
Genomic selection for end-use quality and processing traits in soft white winter wheat breeding program with machine and deep learning models
Simple Summary Wheat (Triticum aestivum L.) breeding programs mainly focus on
improving grain yield, biotic and abiotic stress tolerance, and end-use quality traits. End-use …
improving grain yield, biotic and abiotic stress tolerance, and end-use quality traits. End-use …
[HTML][HTML] Harness the power of genomic selection and the potential of germplasm in crop breeding for global food security in the era with rapid climate change
T He, C Li - The Crop Journal, 2020 - Elsevier
Crop genetic improvements catalysed population growth, which in turn has increased the
pressure for food security. We need to produce 70% more food to meet the demands of 9.5 …
pressure for food security. We need to produce 70% more food to meet the demands of 9.5 …
Genomic prediction of grain yield and drought-adaptation capacity in sorghum is enhanced by multi-trait analysis
Grain yield and stay-green drought adaptation trait are important targets of selection in grain
sorghum breeding for broad adaptation to a range of environments. Genomic prediction for …
sorghum breeding for broad adaptation to a range of environments. Genomic prediction for …
Durum Wheat (Triticum turgidum ssp. durum) Breeding to Meet the Challenge of Climate Change
Durum wheat (Triticum turgidum ssp. durum) is a tetraploid wheat species (2n= 28) planted
annually on an estimated area of 18 million ha, representing approximately 8–10% of all the …
annually on an estimated area of 18 million ha, representing approximately 8–10% of all the …