AIMC Topic: Plant Breeding

Clear Filters Showing 1 to 10 of 85 articles

Integrated phenotypic analysis, predictive modeling, and identification of novel trait-associated loci in a diverse Theobroma cacao collection.

BMC plant biology Aug 9, 2025
BACKGROUND: Cacao (Theobroma cacao L.) breeding and improvement rely on understanding germplasm diversity and trait architecture. This study characterized a cacao collection (173 accessions) evaluated in Puerto Rico, examining phenotypic diversity, t...
Machine Learning Phenotype Polymorphism, Single Nucleotide Quantitative Trait Loci Puerto Rico Plant Breeding Plant Diseases Cacao
View on PubMed DOI

AdaptiveGS: an explainable genomic selection framework based on adaptive stacking ensemble machine learning.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Aug 7, 2025
We developed an adaptive and unified stacking genomic selection framework and designed a model interpretation strategy to identify the candidate significant SNPs of target traits. Genomic selection (GS) is an important technique in modern molecular b...
Selection, Genetic Machine Learning Phenotype Plant Breeding Genomics Genotype Algorithms Models, Genetic Polymorphism, Single Nucleotide
View on PubMed DOI

In silico prediction of variant effects: promises and limitations for precision plant breeding.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jul 28, 2025
Sequence-based AI models show great potential for prediction of variant effects at high resolution, but their practical value in plant breeding remains to be confirmed through rigorous validation studies. Plant breeding has traditionally relied on ph...
Machine Learning Phenotype Models, Genetic Plants Genetic Variation Computer Simulation Genomics Genome, Plant Plant Breeding
View on PubMed DOI

Breeding perspectives on tackling trait genome-to-phenome (G2P) dimensionality using ensemble-based genomic prediction.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jul 4, 2025
Trait Genome-to-Phenome (G2P) dimensionality and "breeding context" combine to influence the realised prediction skill of different whole genome prediction (WGP) methods. Theory and empirical evidence both suggest there is likely to be "No Free Lunch...
Quantitative Trait Loci Plant Breeding Phenotype Genomics Crops, Agricultural Genome, Plant Models, Genetic Machine Learning Algorithms Artificial Intelligence
View on PubMed DOI

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 Breeding Genomics Multiomics Plant Diseases Machine Learning Fabaceae Disease Resistance
View on PubMed DOI

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...
Stress, Physiological Genomics Metabolomics Plant Breeding Crops, Agricultural Multiomics Proteomics
View on PubMed DOI

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 ...
Phenotype Models, Genetic Artificial Intelligence Plant Breeding Bayes Theorem Crops, Agricultural
View on PubMed DOI

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...
Models, Genetic Plant Breeding Artificial Intelligence Algorithms Phenotype Computer Simulation Genotype
View on PubMed DOI

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...
Crops, Agricultural Plant Breeding Artificial Intelligence Phenotype
View on PubMed DOI

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...
Artificial Intelligence Deep Learning Disease Resistance Plant Breeding Genomics Plant Diseases
View on PubMed DOI
Popular Topics
Recent Journals