AIMC Topic: Genotype

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Multiomic insights into sucrose accumulation in sugarcane.

Plant molecular biology
Sugarcane holds significant economic importance in sugar and biofuel production. Despite extensive research, understanding highly quantitative traits remains challenging due to its complex genomic landscape. We conducted a multiomic investigation to ...

Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age.

Proceedings of the National Academy of Sciences of the United States of America
Histological images offer a wealth of data. Mining these data holds significant potential for enhancing disease diagnosis and prognosis, though challenges remain, especially in noncancer contexts. In this study, we developed a statistical framework t...

Multidimensional component quantitative analysis: Exploring commercial mango cultivars in China.

Food chemistry
Different mango cultivars exhibit distinct characteristics in food quality and nutraceutical value, influencing both market potential and consumer preference. We hypothesized that genotype-driven variation in metabolites underpins these quality diffe...

Enhancing enviromics based predictions in common bean multi-environment trials.

Scientific reports
Enviromic approaches enhance predictive models by incorporating environmental data into selection frameworks. By integrating factor analytic (FA) models, enviromics, and Geographic Information Systems (GIS), the GIS-FA method was proposed to improve ...

Next-generation molecular breeding tools to harness higher genetic gains in sugarcane.

Planta
Next-generation molecular tools with AI integration can accelerate genetic gain in sugarcane by enhancing variation, accuracy, and efficiency, enabling rapid development of high-yielding, high-quality, and climate-resilient varieties. Enhancing genet...

Identifying graft incompatible rootstocks for sweet cherry through machine learning algorithms.

PloS one
Graft incompatibility is a key factor in the development of dwarf and semi dwarf rootstocks for sweet cherry (Prunus avium L.) to improve yield, fruit quality, precocity, and labor efficiency. This study evaluated the graft incompatibility of eight g...

Potential synthetic associations created by epistasis.

Genome biology
The prevalence of synthetic associations in GWAS, where non-causal variants become significant by tagging multiple undetected causal variants and not necessarily in strong linkage disequilibrium with any single one, remains unexplored. We introduce a...

Haplotype stacking to improve stability of stripe rust resistance in wheat.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
Genotype-by-environment interaction analysis and haplotype-level characterisation provide novel insights into the stability of stripe rust resistance. Breeding selection strategies are proposed to achieve rapid and stable genetic gains across environ...

Foliar disease resistance phenomics of fungal pathogens: image-based approaches for mapping quantitative resistance in cereal germplasm.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
Host plant resistance is the most effective and environmentally sustainable means of reducing yield losses caused by fungal foliar pathogens of cereal species. Cereal genebank collections hold diverse pools of potentially underutilized disease resist...

Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning.

Scientific reports
Antimicrobial resistance is a growing global health threat, and artificial intelligence offers a promising avenue for developing advanced tools to address this challenge. In this study, we applied various machine learning techniques to predict bacter...