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A review of deep learning applications for genomic selection
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 …
[HTML][HTML] Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …
the breeding cycle in major crops relevant for sustaining present demands for food, feed …
Applications of deep learning in understanding gene regulation
Gene regulation is a central topic in cell biology. Advances in omics technologies and the
accumulation of omics data have provided better opportunities for gene regulation studies …
accumulation of omics data have provided better opportunities for gene regulation studies …
Prunus genetics and applications after de novo genome sequencing: achievements and prospects
Prior to the availability of whole-genome sequences, our understanding of the structural and
functional aspects of Prunus tree genomes was limited mostly to molecular genetic map** …
functional aspects of Prunus tree genomes was limited mostly to molecular genetic map** …
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 …
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 …
Development and applications of a high throughput genoty** tool for polyploid crops: single nucleotide polymorphism (SNP) array
Polypoid species play significant roles in agriculture and food production. Many crop
species are polyploid, such as potato, wheat, strawberry, and sugarcane. Genoty** has …
species are polyploid, such as potato, wheat, strawberry, and sugarcane. Genoty** has …
Deciphering the genetic architecture of fruit color in strawberry
B Denoyes, A Prohaska, J Petit… - Journal of Experimental …, 2023 - academic.oup.com
Fruits of Fragaria species usually have an appealing bright red color due to the
accumulation of anthocyanins, water-soluble flavonoid pigments. Octoploid cultivated …
accumulation of anthocyanins, water-soluble flavonoid pigments. Octoploid cultivated …
A roadmap for research in octoploid strawberry
The cultivated strawberry (Fragaria× ananassa) is an allo-octoploid species, originating
nearly 300 years ago from wild progenitors from the Americas. Since that time the strawberry …
nearly 300 years ago from wild progenitors from the Americas. Since that time the strawberry …
[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 …