Mehdi Rahimi
Associate prof. of Plant Breeding, Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran · Graduate University of Advanced Technology, Kerman, Iran
Research Interests
1) Improvement of Crops and horticulture plants through classical and molecular genetic methods 2) Plant biotechnology 3) Molecular markers, Genetic diversity and Gene expression 4) Identify quantitative traits loci by QTL mapping and association mapping and g...
Biography
Mehdi Rahimi was born in Shiraz, Iran, in 1978. He is an Associate Professor in the Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran. His research interests are in the areas of plant breeding (classical breeding, biometry, abiotic stress, molecular breeding, genomics, gene expression). He received his Ph.D. in plant breeding at Tarbiat Modares University during 2008-2013 and M.Sc. in plant breeding at University of Guilan during 2004-2007 and his B.Sc. in agronomy and plant breeding from Shiraz University.
Education
• Bachelor in plant breeding and agronomy, Shiraz University, Shiraz, Fars, Iran, 1997 – 2001. • Master in plant breeding, Guilan University, Rasht, Gilan, Iran, 2004 – 2007. MSc thesis title: Use of diallel cross for evaluating heterosis and combining ability in rice cultivars • PhD in plant breeding, Tarbiat Modares University, Tehran, Iran, 2008 – 2013. PhD thesis title: Identification of QTLs Controlling Important Yield Related Traits of Rice in Different Irrigation Conditions • Visiting scientist, CREA - Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, Italy, December...
Recent Scopus Publications
- Integrative decision-support framework identifies drought-resilient sugar beet genotypes under water-limited conditions
- Advancements in breeding technologies for enhancing mustard yield and stress resilience: A comprehensive review
- Performance of Local Bean (Phaseolus vulgaris L.) genotypes for breeding potential under unheated greenhouses using phenological and morphological characterization
- Bibliometric and systematic review of biostimulant research under drought stress
- Machine Learning for Plant High-Throughput Phenotyping
Links
- ORCID https://orcid.org/0000-0001-5625-3275
- Google Scholar https://scholar.google.com/citations?user=CAUHWZkAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=56072113000
- Personal Weblink https://scholar.google.com/citations?user=CAUHWZkAAAAJ&hl=en