Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops

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Detalles Bibliográficos
Publicado en:	Plants vol. 14, no. 11 (2025), p. 1727
Autor principal:	Kassem My Abdelmajid
Publicado:	MDPI AG
Materias:	Physiology Accuracy Artificial intelligence Datasets Deep learning Genome-wide association studies Genetic markers Quantitative trait loci Genomics Metabolomics Artificial neural networks Accumulation Corn Polygenic inheritance Mapping Feature selection Nutritive value Machine learning Transcriptomics Genotypes Gene mapping Gene loci Genotype & phenotype Explainable artificial intelligence Learning algorithms Proteins Physical characteristics Nutrient content Crop production Crops Chromosomes Nutrients Phenotyping Crop resilience Graph neural networks Linkage analysis Marketability Genomic analysis Algorithms Soybeans Neural networks Climate change
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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