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1
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65
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About
Amit Gur is a leading researcher in plant genetics and quantitative trait loci (QTL) mapping, with a primary focus on understanding the genetic architecture of carbon and nitrogen metabolism in maize. His most cited work, a 2010 study with 65 citations, made a significant contribution by fine-mapping QTLs that control the activities of ten key enzymes from these metabolic pathways. Using a robotized platform for high-throughput phenotyping on the maize IBM mapping population, Gur’s research provides a foundational framework for dissecting the complex genetic networks that link enzyme activity to seedling biomass. This work is critical for accelerating the development of maize varieties with improved nitrogen use efficiency and higher yield, addressing a major challenge in sustainable agriculture. By bridging the gap between metabolic biochemistry and plant breeding, Amit Gur’s research has had a lasting impact on the field, offering both methodological innovations and actionable insights for crop improvement.
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