AIMC Topic: Lolium

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Optimizing selective breeding of livestock and forage crops to reduce the environmental impacts of grass-based dairy production by combining life cycle assessment and machine learning.

The Science of the total environment Oct 15, 2025
Global demand for ruminant milk-based products is increasing, contributing to increases in associated environmental impacts. Yet, most efforts to reduce the total environmental impact of dairy production are based on livestock breeding and manipulati...
Machine Learning Animals Livestock Poaceae Crops, Agricultural Breeding Dairying Ireland Environment Lolium
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Enhanced phytoremediation of vanadium using coffee grounds and fast-growing plants: Integrating machine learning for predictive modeling.

Journal of environmental management Oct 9, 2024
Vanadium (V) contamination posed a significant environmental challenge, while phytoremediation offered a sustainable solution. Phytoremediation performance was often limited by the slow growth cycles of traditional plants. A novel approach to enhanci...
Machine Learning Soil Pollutants Biodegradation, Environmental Vanadium Coffee Lolium
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Differential gene expression and gene ontologies associated with increasing water-stress in leaf and root transcriptomes of perennial ryegrass (Lolium perenne).

PloS one Jul 30, 2019
Perennial ryegrass (Lolium perenne) is a forage and amenity grass species widely cultivated in temperate regions worldwide. As such, perennial ryegrass populations are exposed to a range of environmental conditions and stresses on a seasonal basis an...
Gene Expression Profiling Transcriptome Genotype Plant Leaves Plant Roots Dehydration Plant Proteins Gene Ontology Gene Expression Regulation, Plant Droughts Lolium
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