Donald Danforth Plant Science Center

Early‐life stage phenomic prediction of field agronomic traits across breeding cycles in intermediate wheatgrass

Abstract Perennial grains represent a promising frontier for sustainable agriculture, but breeding progress is constrained by the accessibility of genotyping and the difficulty of evaluating complex traits expressed for multiple years after establishment across heterogeneous envi...

Enhance food plant diversity conservation and use through greater coordination between genebanks and botanic gardens

Societal Impact Statement Food plants are vital to human and planetary health, but their diversity is threatened, making food security, nutrition, and environmental goals more difficult to achieve. Food plant diversity conservation, research, and education can be enhanced through...

Remote Sensing and Machine Learning for Monitoring Soil Nitrogen Dynamics and Crop Nitrogen Status in Field Conditions

Efficient nitrogen (N) management is essential for sustaining crop productivity while minimizing environmental impacts associated with nitrogen losses. However, the high spatial and temporal variability of soil nitrogen dynamics and crop nitrogen status makes field-scale monitori...