Maria G. Salas Fernandez
Papers
2
Total Citations
102
H-Index
2
About
Maria G. Salas Fernandez is a pioneering researcher in plant genetics and phenomics, with a primary focus on sorghum as a biofuel feedstock. Her work bridges the gap between traditional field-based phenotyping and modern high-throughput technologies, enabling the rapid, non-destructive measurement of complex plant architecture traits such as plant height, stem diameter, leaf angle, leaf area, and panicle size. In her highly cited 2018 study (89 citations), she introduced a field-based robotic phenotyping system using stereo vision, revolutionizing how sorghum yield component traits are captured under natural field conditions. This innovation accelerates genetic research aimed at improving biomass yield. Building on this, her 2019 work (13 citations) applied linkage disequilibrium mapping to high-throughput image-derived descriptors, linking phenotypic data directly to genomic regions. Salas Fernandez’s contributions are critical for advancing sustainable bioenergy production, and her integration of robotics, computer vision, and quantitative genetics positions her as a leader in the emerging field of field phenomics. Her work not only enhances our understanding of sorghum biology but also provides scalable tools for crop improvement.
Research Focus
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Top Papers
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