Multimodal deep learning methods enhance genomic prediction of wheat breeding

Research article (G3 Genes Genomes Genetics, 2023) · cited 36× · AI/ML

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Multimodal deep learning methods enhance genomic prediction of wheat breeding

Summary

Multimodal deep learning methods enhance genomic prediction of wheat breeding is a scholarly article^[1].

Key Facts

Multimodal deep learning methods enhance genomic prediction of wheat breeding's instance of is recorded as scholarly article^[2].

References

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Direct Wikidata claims

[2] ↑ Multimodal deep learning methods enhance genomic prediction of wheat breeding — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Multimodal deep learning methods enhance genomic prediction of wheat breeding is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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APA

4ort.xyz Knowledge Graph. (2026). Multimodal deep learning methods enhance genomic prediction of wheat breeding. Retrieved May 24, 2026, from https://4ort.xyz/entity/multimodal-deep-learning-methods-enhance-genomic-prediction-of-wheat-breeding

MLA

“Multimodal deep learning methods enhance genomic prediction of wheat breeding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multimodal-deep-learning-methods-enhance-genomic-prediction-of-wheat-breeding.

BibTeX

@misc{4ortxyz_multimodal-deep-learning-methods-enhance-genomic-prediction-of-wheat-breeding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multimodal deep learning methods enhance genomic prediction of wheat breeding}}, year = {2026}, url = {https://4ort.xyz/entity/multimodal-deep-learning-methods-enhance-genomic-prediction-of-wheat-breeding}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multimodal deep learning methods enhance genomic prediction of wheat breeding — https://4ort.xyz/entity/multimodal-deep-learning-methods-enhance-genomic-prediction-of-wheat-breeding (retrieved 2026-05-24)

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