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Title: Genetic Analysis of Photosynthetic Traits in Maize Ali Waqar Abstract: Photosynthesis efficiency is the unexploited and unattended resource to improve crop yield. Yield improvement consistently has been the prime objective in any crop to enhance production and feed the world population. Exploitation and improvement of photosynthesis has not been achieved at a level where it can boost up the yield significantly either through natural selection or traditional plant breeding. We aimed to explore and capture the improvable genetic variation behind photosynthesis through genomic selection. We designed a large field experiment by growing 717 maize genotypes at Havelock research farm of University of Nebraska-Lincoln. We recorded the measurements of 15 photosynthetic traits using a recently developed MultispeQ equipment. After spatial correction and normalization of the data, we proceeded with downstream analysis and identified six potential hits for relative chlorophyll at chromosome 9, phi2 (quantum yield of Photosystem II) at chromosome 9, phiNPQ (quantum yield of regulated non-photochemical quenching) at chromosome 3 and 9 and qL (coefficient of photochemical quenching) at chromosome 10 through resampling based RMIP GWAS at RMIP value of greater 0.2. Further, we mapped the potential candidate genes using identified hits as a reference on B73 reference genome version 5 on maize GDB. Within the interval of 100kb, we found potential candidate genes Zm00001eb416530 for relative chlorophyll and Zm00001eb416530 for qL. eQTL (expression quantitative trait loci) analysis further provided insights about the involvement of chlorophyll identified hit with regulating the expression of candidate gene Zm00001eb416530 based on LD value of 0.20 between peak SNP of candidate gene and chlorophyll hit identified through GWAS. These outcomes provide the foundation to improve photosynthesis efficiency by further validating and cloning of the regulatory genes involved in chloroplast functions.