@article{mengist_pottorff_mackey_ferrao_casorzo_lila_luby_giongo_perkins-veazie_bassil_et al._2024, title={Assessing predictability of post-storage texture and appearance characteristics in blueberry at breeding population level}, volume={214}, ISSN={["1873-2356"]}, DOI={10.1016/j.postharvbio.2024.112964}, journal={POSTHARVEST BIOLOGY AND TECHNOLOGY}, author={Mengist, Molla F. and Pottorff, Marti and Mackey, Ted and Ferrao, Felipe and Casorzo, Gonzalo and Lila, Mary Ann and Luby, Claire and Giongo, Lara and Perkins-Veazie, Penelope and Bassil, Nahla and et al.}, year={2024}, month={Aug} }
 @article{oh_pottorff_giongo_mainland_iorizzo_perkins-veazie_2024, title={Exploring shelf-life predictability of appearance traits and fruit texture in blueberry}, volume={208}, ISSN={["1873-2356"]}, DOI={10.1016/j.postharvbio.2023.112643}, abstractNote={Improving the shelf-life of blueberries (Vaccinium spp.) has become a crucial breeding priority for the industry. However, the breeders have sparse empirical data to select genotypes with extended shelf-life. In this study, a large set of cultivars was evaluated for mechanical texture and appearance characteristics at harvest and after storage to understand their relationship and test multiple statistical models to assess the predictability of shelf-life. Blueberries harvested from 61 cultivars with extensive phenotypic variation were stored at 2 oC and 80% relative humidity (RH) for six weeks. The results indicated that weight loss, texture change, and fruit wrinkling could be predicted using fruit characteristics measured at harvest (T0) or two weeks post-harvest (T2). The berry size at T0 was able to predict postharvest weight loss with high accuracy; the larger the initial berry size, the less weight loss. This trend plateaued with berries larger than 18 mm in diameter. For texture, the measurements at T0 and six weeks after storage (T6) were positively correlated in all mechanical texture parameters, indicating that the initial texture is highly related to the final texture after storage. The overall change of texture could be best predicted using the texture parameter 'distance to maximum force' (DFM) measured at T0. Although the prediction accuracy was relatively low (R2 = 0.34), the model still effectively predicted the cultivars with the most texture change and those with the least. Interestingly, the prediction power improved to a moderate level (R2 = 0.45–0.66) when using all the texture and appearance parameters measured at T0 and T2. Wrinkling was best predicted by either the initial fruit size or the texture parameter 'force linear distance' (FLD) with low accuracy (R2 = 0.35–0.37); the larger the berry or FLD at T0, the less wrinkle after storage. These findings provide empirical data that blueberry breeders could use to select for shelf-life in blueberry. Predicting the variation of shelf-life indicators in a germplasm can substantially reduce the cost and time required to phenotype shelf-life performance.}, journal={POSTHARVEST BIOLOGY AND TECHNOLOGY}, author={Oh, Heeduk and Pottorff, Marti and Giongo, Lara and Mainland, Charles M. and Iorizzo, Massimo and Perkins-Veazie, Penelope}, year={2024}, month={Feb} }
 @article{giongo_ajelli_pottorff_perkins-veazie_iorizzo_2022, title={Comparative multi-parameters approach to dissect texture subcomponents of highbush blueberry cultivars at harvest and postharvest}, volume={183}, ISSN={["1873-2356"]}, DOI={10.1016/j.postharvbio.2021.111696}, abstractNote={Fruit texture and firmness are important cues of blueberry quality for the fresh market. These attributes contribute to consumer acceptance, resistance to bruising during harvesting and transportation, and shelf-life. Thus, fruit firmness and texture are major priorities for blueberry breeders, producers and distributors. In this study, the discriminative power of texture analysis was examined using penetration tests with different probes and double compression for texture profile analysis (TPA). Mechanical parameters taken from the force deformation curves used to dissect texture subcomponents in blueberries that are associated with specific tissue layers. Principal component analysis (PCA) allows to filter and identify mechanical parameters that significantly discern the most variation amongst 24 blueberry genotypes and showed that texture in this crop is multi-trait and cultivar-dependent. Texture analysis was used also on blueberries stored over six weeks to identify mechanical parameters that could be used as predictors for long shelf life. Additionally, the mechanical parameters were correlated with dynamometer data to determine the utility and accuracy of a simple handheld device to measure fruit firmness in blueberries. This study provides a framework for the identification and characterization of the subcomponents of texture in highbush blueberry.}, journal={POSTHARVEST BIOLOGY AND TECHNOLOGY}, author={Giongo, Lara and Ajelli, Matteo and Pottorff, Marti and Perkins-Veazie, Penelope and Iorizzo, Massimo}, year={2022}, month={Jan} }
 @article{edger_iorizzo_bassil_benevenuto_ferrao_giongo_hummer_lawas_leisner_li_et al._2022, title={There and back again; historical perspective and future directions for Vaccinium breeding and research studies}, volume={9}, ISSN={["2052-7276"]}, DOI={10.1093/hr/uhac083}, abstractNote={Abstract}, journal={HORTICULTURE RESEARCH}, author={Edger, Patrick P. and Iorizzo, Massimo and Bassil, Nahla V and Benevenuto, Juliana and Ferrao, Luis Felipe V and Giongo, Lara and Hummer, Kim and Lawas, Lovely Mae F. and Leisner, Courtney P. and Li, Changying and et al.}, year={2022}, month={Jan} }
 @article{hayes_corbin_nunn_pottorff_kay_lila_iorrizo_ferruzzi_2021, title={Influence of simulated food and oral processing on carotenoid and chlorophyll in vitro bioaccessibility among six spinach genotypes}, volume={5}, ISSN={["2042-650X"]}, url={https://doi.org/10.1039/D1FO00600B}, DOI={10.1039/d1fo00600b}, abstractNote={Spinach processing and simulated mastication impact the bioaccessibility of carotenoids and chlorophylls with a spinach matrix.}, journal={FOOD & FUNCTION}, publisher={Royal Society of Chemistry (RSC)}, author={Hayes, Micaela and Corbin, Sydney and Nunn, Candace and Pottorff, Marti and Kay, Colin D. and Lila, Mary Ann and Iorrizo, Massimo and Ferruzzi, Mario G.}, year={2021}, month={May} }
 @misc{iorizzo_curaba_pottorff_ferruzzi_simon_cavagnaro_2020, title={Carrot Anthocyanins Genetics and Genomics: Status and Perspectives to Improve Its Application for the Food Colorant Industry}, volume={11}, ISSN={["2073-4425"]}, DOI={10.3390/genes11080906}, abstractNote={Purple or black carrots (Daucus carota ssp. sativus var. atrorubens Alef) are characterized by their dark purple- to black-colored roots, owing their appearance to high anthocyanin concentrations. In recent years, there has been increasing interest in the use of black carrot anthocyanins as natural food dyes. Black carrot roots contain large quantities of mono-acylated anthocyanins, which impart a measure of heat-, light- and pH-stability, enhancing the color-stability of food products over their shelf-life. The genetic pathway controlling anthocyanin biosynthesis appears well conserved among land plants; however, different variants of anthocyanin-related genes between cultivars results in tissue-specific accumulations of purple pigments. Thus, broad genetic variations of anthocyanin profile, and tissue-specific distributions in carrot tissues and organs, can be observed, and the ratio of acylated to non-acylated anthocyanins varies significantly in the purple carrot germplasm. Additionally, anthocyanins synthesis can also be influenced by a wide range of external factors, such as abiotic stressors and/or chemical elicitors, directly affecting the anthocyanin yield and stability potential in food and beverage applications. In this study, we critically review and discuss the current knowledge on anthocyanin diversity, genetics and the molecular mechanisms controlling anthocyanin accumulation in carrots. We also provide a view of the current knowledge gaps and advancement needs as regards developing and applying innovative molecular tools to improve the yield, product performance and stability of carrot anthocyanin for use as a natural food colorant.}, number={8}, journal={GENES}, author={Iorizzo, Massimo and Curaba, Julien and Pottorff, Marti and Ferruzzi, Mario G. and Simon, Philipp and Cavagnaro, Pablo F.}, year={2020}, month={Aug} }
 @article{mengist_burtch_debelo_pottorff_bostan_nunn_corbin_kay_bassil_hummer_et al._2020, title={Development of a genetic framework to improve the efficiency of bioactive delivery from blueberry}, volume={10}, ISSN={["2045-2322"]}, url={https://europepmc.org/articles/PMC7560831}, DOI={10.1038/s41598-020-74280-w}, abstractNote={Abstract}, number={1}, journal={SCIENTIFIC REPORTS}, author={Mengist, Molla F. and Burtch, Haley and Debelo, Hawi and Pottorff, Marti and Bostan, Hamed and Nunn, Candace and Corbin, Sydney and Kay, Colin D. and Bassil, Nahla and Hummer, Kim and et al.}, year={2020}, month={Oct} }
 @article{hayes_pottorff_kay_van deynze_osorio-marin_lila_iorrizo_ferruzzi_2020, title={In Vitro Bioaccessibility of Carotenoids and Chlorophylls in a Diverse Collection of Spinach Accessions and Commercial Cultivars}, volume={68}, ISSN={["1520-5118"]}, DOI={10.1021/acs.jafc.0c00158}, abstractNote={Spinach, a nutrient-dense, green-leafy vegetable, is a rich source of carotenoid and chlorophyll bioactives. While the content of bioactives is known to vary with the genotype, variation in bioaccessibility is unknown. Bioaccessibility was explored in 71 greenhouse-grown spinach genotypes in fall and spring 2018/2019. Spinach was phenotyped for its greenness, leaf texture, leaf shape, and SPAD chlorophyll content. Postharvest, spinach was washed, blanched, and homogenized prior to assessment of bioactive bioaccessibility using a novel high-throughput in vitro digestion model followed by high-performance liquid chromatography with a photodiode array detector analysis. There was a significant variation in the bioaccessible content for all bioactives (p < 0.05), except for chlorophyll b (p = 0.063) in spring-grown spinach. The correlation coefficients of bioaccessible contents between seasons reveal that lutein (r = 0.52) and β-carotene (r = 0.55) were correlated to a greater extent than chlorophyll a (r = 0.38) and chlorophyll b (r = 0.19). The results suggest that carotenoid and chlorophyll bioaccessible contents may vary based on spinach genotypes and may be stable across seasons.}, number={11}, journal={JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY}, author={Hayes, Micaela and Pottorff, Marti and Kay, Colin and Van Deynze, Allen and Osorio-Marin, Juliana and Lila, Mary Ann and Iorrizo, Massimo and Ferruzzi, Mario G.}, year={2020}, month={Mar}, pages={3495–3505} }
 @article{iorizzo_ellison_pottorff_cavagnaro_2019, title={Carrot Molecular Genetics and Mapping}, ISBN={["978-3-030-03388-0"]}, ISSN={["2199-479X"]}, DOI={10.1007/978-3-030-03389-7_7}, abstractNote={Carrot (Daucus carota L.) is an important root vegetable crop that is consumed worldwide and is appreciated for its taste and nutritional content (e.g., provitamin A carotenoids, anthocyanins, vitamins, and other minerals). Carrot genetic research has improved vastly over the past few decades due to advancements in molecular genomic resources developed for carrot. The increasing availability of DNA sequences such as expressed sequence tags (ESTs), creation of a physical map, sequencing of the carrot genome, and the numerous advancements in DNA genotyping has enabled the study of phenotypic variation of crop traits through the development of genetic linkage maps, which enable the ability to identify QTLs and their underlying genetic basis. In addition, the creation of genetic and genomic tools for carrot has enabled the study of diversity within carrot populations and germplasm collections, enabled genome-wide association studies (GWASs), characterization of populations at the species level, and comparative genomics with other crops and model species. Combined, these tools will advance the breeding process for carrot by enabling a targeted approach to improving traits by utilizing marker-assisted selection (MAS) strategies.}, journal={CARROT GENOME}, author={Iorizzo, Massimo and Ellison, Shelby and Pottorff, Marti and Cavagnaro, Pablo F.}, year={2019}, pages={101–117} }