AIMC Topic: Plant Breeding

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Integrating multi-omics and machine learning for disease resistance prediction in legumes.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 27, 2025
Multi-omics assisted prediction of disease resistance mechanisms using machine learning has the potential to accelerate the breeding of resistant legume varieties. Grain legumes, such as soybean (Glycine max (L.) Merr.), chickpea (Cicer arietinum L.)...
Plant Diseases Disease Resistance Plant Breeding Multiomics Machine Learning Fabaceae Genomics
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Pan-omics insights into abiotic stress responses: bridging functional genomics and precision crop breeding.

Functional & integrative genomics Jun 13, 2025
Crop production has been regarded as the major goal of agricultural activities, but the rapidly growing population and climate change have become more complex in the agricultural systems. Abiotic stress greatly affects crop productivity globally; dev...
Plant Breeding Crops, Agricultural Stress, Physiological Genomics Multiomics Proteomics Metabolomics
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Toward a general framework for AI-enabled prediction in crop improvement.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 12, 2025
A theoretical framework for AI and ensembled prediction for crop improvement is introduced and demonstrated using the logistic map. Symbolic/sub-symbolic AI-based prediction can increase predictive skill with increase in system complexity. The curse ...
Artificial Intelligence Bayes Theorem Crops, Agricultural Plant Breeding Phenotype Models, Genetic
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Generative AI for predictive breeding: hopes and caveats.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 11, 2025
Among the broad area of artificial intelligence (AI), generative AI algorithms have emerged as a revolutionary technology able to produce highly realistic 'synthetic' data, akin to standard simulation but with fewer contraints. The main focus of gene...
Genotype Models, Genetic Artificial Intelligence Plant Breeding Phenotype Algorithms Computer Simulation
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Improving plant breeding through AI-supported data integration.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 2, 2025
Integrating, learning from, and predicting using vast datasets from various scales, platforms, and species is crucial for advancing crop improvement through breeding. Artificial intelligence (AI) is a broad category of methods, many of which have bee...
Artificial Intelligence Crops, Agricultural Phenotype Plant Breeding
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Artificial Intelligence-Assisted Breeding for Plant Disease Resistance.

International journal of molecular sciences Jun 1, 2025
Harnessing state-of-the-art technologies to improve disease resistance is a critical objective in modern plant breeding. Artificial intelligence (AI), particularly deep learning and big model (large language model and large multi-modal model), has em...
Disease Resistance Plant Breeding Genomics Plant Diseases Artificial Intelligence Deep Learning
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Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI.

Scientific reports Apr 27, 2025
Intelligent knowledge about Capsicum annuum L. germplasm could lead to effective management of germplasm. Here, 29 accessions of sweet pepper were investigated in two separate randomized complete block design with three replications in the field cond...
Deep Learning Genotype Capsicum Plant Breeding Neural Networks, Computer Models, Genetic Fruit
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Breaking down data silos across companies to train genome-wide predictions: A feasibility study in wheat.

Plant biotechnology journal Apr 20, 2025
Big data, combined with artificial intelligence (AI) techniques, holds the potential to significantly enhance the accuracy of genome-wide predictions. Motivated by the success reported for wheat hybrids, we extended the scope to inbred lines by integ...
Genomics Phenotype Feasibility Studies Genome, Plant Polymorphism, Single Nucleotide Genome-Wide Association Study Artificial Intelligence Plant Breeding Genotype Triticum
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EBMGP: a deep learning model for genomic prediction based on Elastic Net feature selection and bidirectional encoder representations from transformer's embedding and multi-head attention pooling.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Apr 19, 2025
Enhancing early selection through genomic estimated breeding values is pivotal for reducing generation intervals and accelerating breeding programs. Recently, deep learning (DL) approaches have gained prominence in genomic prediction (GP). Here, we i...
Models, Genetic Plant Breeding Genomics Polymorphism, Single Nucleotide Deep Learning
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Biological Prior Knowledge-Embedded Deep Neural Network for Plant Genomic Prediction.

Genes Mar 31, 2025
Genomic prediction is a powerful approach that predicts phenotypic traits from genotypic information, enabling the acceleration of trait improvement in plant breeding. Traditional genomic prediction methods have primarily relied on linear mixed mode...
Plant Breeding Genomics Deep Learning Neural Networks, Computer Polymorphism, Single Nucleotide Genotype Genome-Wide Association Study Phenotype Genome, Plant
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