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Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
Published 2022Get full text
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Genetic networks underlying salinity tolerance in wheat uncovered with genome-wide analyses and selective sweeps
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Variation of macro- and microelements, and trace metals in spring wheat genetic resources in Siberia
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Genome-wide association for heat tolerance at seedling stage in historical spring wheat cultivars
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Genetic diversity and selection signatures in synthetic-derived wheats and modern spring wheat
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Genetic characterization of spring wheat germplasm for macro-, microelements and trace metals
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Genetic variation among elite inbred lines suggests potential to breed for BNI-capacity in maize
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DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
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Deep learning methods improve genomic prediction of wheat breeding
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Genomic analysis of modern maize inbred lines reveals diversity and selective breeding effects
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A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding
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Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
Published 2025Get full text
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