Massimo Iorizzo

Bio

Dr. Massimo Iorizzo is an Associate Professor at NCSU with over 16 years of experience in plant breeding, genetics and genomics. Iorizzo’s research aims to establish genetic and genomic resources to elucidate the genes involved in quality and nutritional characteristics of plants, including the accumulation of health promoting compounds (e.g. anthocyanin, carotenoids, flavanols) in fruits and vegetables, in addition to other economically important plant characteristics, such as disease resistance. Target crops in Iorizzo’s research program include banana, blueberry, carrot, cranberry, pineapple, potato, spinach and sweetpotato.

In 2024, Iorizzo was appointed associate director of Plants for Human Health Institute.

Publications

• A Blueberry ( Vaccinium L.) Crop Ontology to Enable Standardized Phenotyping for Blueberry Breeding and Research , HORTSCIENCE (2024)
• Assessing predictability of post-storage texture and appearance characteristics in blueberry at breeding population level , POSTHARVEST BIOLOGY AND TECHNOLOGY (2024)
• BerryPortraits: Phenotyping Of Ripening Traits cranberry (Vaccinium macrocarpon Ait.) with YOLOv8 , PLANT METHODS (2024)
• Editorial: Epigenetic and gene regulation underlying crosstalk in plant development and stress responses , FRONTIERS IN GENETICS (2024)
• Genotype and ripening method affect carotenoid content and bio-accessibility in banana , FOOD & FUNCTION (2024)
• Gut-derived wild blueberry phenolic acid metabolites modulate extrinsic cutaneous damage , FOOD & FUNCTION (2024)
• Gut-derived wild blueberry phenolic acid metabolites modulate extrinsic cutaneous damage (vol 15, pg 7849, 2024) , FOOD & FUNCTION (2024)
• Inference of the genetic basis of fruit texture in highbush blueberries using genome-wide association analyses , HORTICULTURE RESEARCH (2024)
• Multiparametric Cranberry (Vaccinium macrocarpon Ait.) Fruit Textural Trait Development for Harvest and Postharvest Evaluation in Representative Cultivars , JOURNAL OF TEXTURE STUDIES (2024)
• Of buds and bits: a meta-QTL study identifies stable QTL for berry quality and yield traits in cranberry mapping populations (Vaccinium macrocarpon Ait.) , FRONTIERS IN PLANT SCIENCE (2024)