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First name : Luis
Entrance year : 2023
Occupation : Professor
Company : North Dakota State University
Address : NDSU Dept. 7660 PO Box 6050 58102 Fargo / United States
Main fields of interest :
  • Crop protection
Professional experience : I am a Professor at North Dakota State University and a canola pathologist. My research interests include epidemiology (forecasting) and management (genetic resistance, fungicides, cultural practices) of diseases affecting canola production. I focus on Sclerotinia stem rot, blackleg, and clubroot.
Education : * PhD degree Plant Pathology, Iowa State University, 1999 * MS degree Crop protection, University of Puerto Rico, 1987
Selected publications : - Marino, D., K. Chittem, F. Shahoveisi, V. Chapara, S. Ruud, and L. E. del Río Mendoza¬¬. 2023. Identification of sources of resistance to clubroot (Plasmodiophora brassicae) in a collection of Brassica napus plant introductions. Plant Health Prog. - Roy, J., L. E. del Río Mendoza, N. Bandillo; P. E. McClean; M. Rahman. 2022. Genetic mapping and genomic prediction of sclerotinia stem rot resistance to rapeseed/canola (Brassica napus L.) at seedling stage. Theoretical and Applied Genetics (TAG) - Shahoveisi, F., M. Riahi Manesh, and L. E. del Río Mendoza. 2022. Modeling risk of Sclerotinia sclerotiorum-induced disease development on canola and dry bean using machine learning algorithms. Sci. Rep. - Mansouripour, S., A. Oladzad, F. Shahoveisi, M. M. Rahman, L. E. del Río Mendoza*, S. Mamidi, and S. M. Moghaddam. 2021. Identification of genomic regions associated with resistance to blackleg (Leptosphaeria maculans) in canola. Eur. J. Plant Pathol. 161:693-707. doi: 10.1007/s10658-021-02354-0. - Roy, J., T. M. Shahik, L. del Río Mendoza, S. Hosain, V. Chapara, and M. Rahman. 2021. Genome-wide association mapping and genomic prediction for adult stage Sclerotinia stem rot resistance in Brassica napus (L.) under field environments. Scientific Reports. 11:21773 - Shahoveisi, F., A. Oladzad, L. E. del Río Mendoza*, S. Hosseinirad, S. Ruud, and B. Rissato. 2021. Assessing the effect of phenotyping scoring systems and SNP calling and filtering parameters on detection of QTL associated with reaction to Sclerotinia sclerotiorum on canola. PhytoFrontiers - Chittem, K., R., W. R. Yajima, R. S. Goswami, L. E. del Río Mendoza*. 2020. Transcriptome analysis of the plant pathogen Sclerotinia sclerotiorum interaction with resistant and susceptible canola (Brassica napus) lines. PLoS ONE 15(3): e0229844.