Salvador A. Gezan

Currently he is an independent international consultant in statistical genetics, and has worked with many breeding programs that apply traditional and molecular tools with support on quantitative analyses, with the aim of defining breeding strategies to optimize and accelerate the release of outstanding genotypes.

He has strategic and data analytic experience with several agricultural, forestry, aquaculture and animal public and private breeding programs include optimization of resources for design and analysis of breeding experiments, develop pipelines for molecular analyses and its implementation (e.g. QTL, GWAS, Genomic Selection and pedigree reconstruction), and directly manage and train staff and scientist to perform breeding activities on a routine basis. His research work, while affiliated to universities or research institutes, has focused in linear mixed models and its applications to genetics and breeding particularly on developing algorithm and analytical solutions to quantitative genetics and genomics based on complex algorithms and management of large datasets.

Most recently he worked as an Associate Professor at the University of Florida for 8 years. Dr. Gezan has more than 120 scientific publications in a wide range of fields, including agriculture, aquaculture, medical, entomology, crop modelling, and statistical applications, among a few. His quantitative skills have been using in an array of project in companies and organization around the world including: VSN International (UK), KWS (Netherlands), CTC (Brazil), Gates Foundation (USA), CGAIR (USA), CATC (USA), Piatrika Ltd. (India), INIA (Chile, Uruguay and Argentina), Bioforest (Chile), Sakata (USA), Innovative (USA), MARS (USA), to name a few.

Dr. Gezan is able to analyze, exploit and interpret complex data that is required for an array of decisions in different fields, including agronomy, aquaculture, entomology and medical sciences, among some areas. He also applies mathematical optimization tools that have direct application for operational commercial decisions. He holds a bachelor’s degree from the Universidad de Chile (Chile), and a PhD from the University of Florida (USA), with post-doc experience at Rothamsted Research (UK).

Summary of Scientific Communications and Bibliography

Genomics and Breeding Strategies

More than 20 publications on topics associated with implementation of genomic tools (Genomic Selection, GWAS, MAS) for operational and commercial breeding programs. Some of the relevant species include: strawberry, loblolly pine, sugarcane, shrimp, salmon, corn, wheat, bean. Publications consider work with many companies and research institutes that assist and define analytical approaches and strategies that make most of the use of the available genomic resources.

Statistical Genetics

+60 publications on applications of statistical methodologies (particularly mixed models) and simulation to evaluate and extract information from phenotypic data. This includes also training of more than 1,000 participants in at least 30 different in-person or on-line training for an array of participants from industry and academia.

Entomology

+15 publications on several aspects related to entomology associated with agriculture, or medical applications. Work has included evaluation of mosquito repellency (for LSHTM), but also evaluation of control techniques, genetics, and evaluation of natural populations.

Forestry

+10 publications on forestry associated with crop modelling on natural and artificial forests from around the world (particularly USA and Chile). This has included building software and statistical models that assist on understanding of the biological dynamics, but also for applications on commercial management of these resources.

Statistical Computing

Several publications and reports, but also +5 statistical libraries. These have been associated with statistical algorithms and optimization tools to assist on the analyses of operational and research data. Some of the topics include: preparation of genomic data for breeding, diversity optimization, Genomic Selection, fitting of linear mixed models, Bayesian statistics, selection index, crop models, optimization of design of experiments, etc.

Journal Articles and Book Chapters

Chaves, S.F.S., Ferreira, F.M., Ferreira, G.C., Gezan, S.A., Dias, K.O.G. 2025. Incorporating spatial and genetic competition into breeding pipelines with the R package gencomp. 2025. Heredity. https://doi.org/10.1038/s41437-024-00743-9

Lippolis, A., Hollebrands, B., Acierno, V., de Jong, C., Pouvreau, L., Paulo, J., Gezan, S.A., Trindade, L.M. 2025. GWAS identifies SNP markers and candidate genes for off-flavours and protein content in faba bean (Vicia faba L.). Plants 14, 193. https://doi.org/10.3390/plants14020193

Agramonte, N.M., Bernier, U.R., Gezan, S.A., and Bloomquist, J.R. 2024. Differences in excito‐repellent behavior between susceptible and permethrin‐resistant strains of Aedes aegypti upon exposure to insecticide‐treated fabric. Pest Management Science. https://doi.org/10.1002/ps.7785

Aparicio, J., Gezan, S.A., Ariza-Suarez, D., Raatz, B., Diaz, W.S., Heilman-Morales, A., and Garces, J. 2024. Mr. Bean: A comprehensive statistical and visualization application for modeling agricultural field trials data. Frontiers in Plant Science 14:1290078

Machacova M., Tomaskova, I., Corcobado, T., Nagy, Z., Milanovic, S., Janousek, J., Peskova, V., Cepl, J., Gezan, S., Nakladal, O., Zumr, V., Kalyniukova, A., Milenkovic, I. and Jung, T. 2024. Response of Alnus glutinosa to Phytophthora bark infections at ambient and elevated CO2 levels. Front. For. Glob. Change 7:1379791.

Ferreira, FM., Chaves, S.F.S., Bhering, LL., Alves, R.S., Takahashi, E.K., Sousa, J.E. Resende, M.D.V., Leite, F.P., Gezan, S.A., Viana, J.M.S., Fernandes, S.B. and Fias, K.O.G. 2023. A novel strategy to predict clonal composites by jointly modeling spatial variation and genetic competition. Forest Ecology and Management 548:121393

Montesinos-López, O.A., Saint Pierre, C., Gezan, S.A., et. al. 2023. Optimizing sparse testing for genomic prediction of plant breeding crops. Genes 14(4):927

Nadeau, S., Beaulieu, J., Gezan, S.A., Perron, M., Bousquet, J., Lenz, P. 2023. Increasing genomic prediction accuracy for unphenotyped full-sib families by modeling additive and dominance effects with large datasets in white spruce. Frontiers in Plant Science 14:665

Poupon, V., Gezan, S.A., Schueler, S., Lstibůrek, M. 2023. Genotype x environment interaction and climate sensitivity in growth and wood density of European larch. Forest Ecology and Management 545:121259

Vallejos, C.E., Jones, J.W., Bhakta, M.S., Gezan, S.A., Correll, M.J. 2022. Dynamic QTL-based ecophysiological models to predict phenotype from genotype and environment data. BMC Plant Biology 22(1):1-15

Galli, G., Gezan, S.A., Murillo, D.A., Murray, D. 2022. ASRgwas: An R package to perform complex Genome-Wide Association Studies (GWAS). Version 1.0.0. VSN International, Hemel Hempstead, United Kingdom. 44 p.

Gezan, S.A., Galli, G., Murray, D. 2022. User’s Manual for ASRtriala: An R package with complementary functions for single and multi-environment trial analyses. Version 1.0.0. VSN International, Hemel Hempstead, United Kingdom. 38 p.

Gezan, S.A., de Oliveira, AA., Murray, A. 2022. ASRgenomics: An R package with complementary genomic functions. Version 1.1.0. VSN International, Hemel Hempstead, United Kingdom. 44 p.

Guest, C., Dewhirst, S.Y., Lindsay, S.W., et al. 2022. Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study. Journal of Travel Medicine 29(3):taac043

Showering, A., Martinez, J., Benavente, E.D., Gezan, S.A., Jones, R.T., et al. 2022. Skin microbiome alters attractiveness to Anopheles mosquitoes. BMC Microbiology 22(1):1-14

Stejskal, J., Hejtmánek, J., Čepl, J., Korecký, J., Dvořák, J., Krejzková, A., Lhotáková, Z., Gezan, S.A. 2022. Revealing the complex relationship among hyperspectral reflectance, photosynthetic pigments, and growth in Norway spruce ecotypes. Frontiers in Plant Science 13:721064

Vallejos, C.E., Jones, J.W., Bhakta, M.S., Gezan, S.A., Correll, M.J. 2022. Dynamic QTL-based ecophysiological models to predict phenotype from genotype and environment data. BMC Plant Biology 22(1):1-15

Gezan, S.A., de Oliveira, AA., Murray, A. 2021. ASRgenomics: An R package with complementary genomic functions. Version 1.0.0. VSN International, Hemel Hempstead, United Kingdom. 39 p.

Devlin, R.H., Spurmault, J., Gezan, S.A., Chan, M.T.T., Wetklo, M, Biagi, C.A., et al. 2021. Environmental and genetic influences on fitness-related traits in a hatchery coho salmon population. Can. J. of Fisheries and Aquatic Sciences 78(7):852-868.

Gouveia, B.T., Rios, E.F., Nunes, J.A.R., Gezan, S.A., Munoz, P.R., Kenworthy, K.E., Unruh, J.B., Miller, G.L., Milla-Lewis, S.R., Schwartz, B.M., Raymer, P.L., Chandra, A., Wherley, B.G., Wu, T., Martin, D.L, and Moss, JQ. 2021. Multi-species genotype-by environment interaction for turfgrass quality in five turfgrass breeding programs in the southeastern United States. Crop Science. https://doi.org/10.1002/csc2.20421

Moreno-Meynard, P., Palmas, S., Gezan, S.A. 2021. Prediction comparison of stand parameters and two ecosystem services through new growth and yield model system for mixed Nothofagus forests in southern Chile. Forests 12(9):1236

Murillo, D.A., Gezan, S.A., Heilman, A.M.,Thomas, Walk, C., Aparicio, J.S., Horsley, R.D. 2021. FielDHub: A shiny app for design of experiments in life sciences. The Journal of Open Source Software 6(61):3122

Osorio, L.F., Gezan, S.A., Verma, S., and Whitaker, V. 2021. Independent validation of genomic prediction in strawberry over multiple cycles. Frontiers in Genetics 11:1862

Prade, P., Minteer, C.R., Gezan, S.A., Arguijo, V.C., Bowers, K., Cuda, J.P., Overholt, W.A. 2021. Host specificity and non-target longevity of Calophya lutea and Calophya terebinthifolii, two potential biological control agents of Brazilian peppertree in Florida, USA. Bio Control 66(2):281-294

Rios, E., Andrade, M.H.M.L., de Resende Junior, M.F.R., Kirst, M., de Resende, M.D.V., Almeida Fiho, J.E., Gezan, S.A., Munoz, P. 2021. Genomic prediction in family bulks using different traits and cross-validation in pine. G3: Genes, Genomes, Genetics 11(9), jkab249

Cepl, J., Stejskal, J., Korecky, J., Hejtmanek, J., Faltinova, Z., Lstiburek, M., and Gezan, S. 2020. The dehydrins gene expression differs across exotypes in Norway spruce and relates to weather fluctuations. Scientific Reports 10(1):1-9

de Souza, B.M., Freitas, M.L.M., Sebbenn, A.M., Gezan, S.A., Zanatto, B, Zulian, D.F., Lopes, M.T.G., Longui, E.L., Guerrini, I.A., and de Aguiar, A.V. 2020. Genotype-by-environment interaction in Corymbia citriodora (Hook.) KD Hill, & LAS Johnson progeny test in Luiz Antonio, Brazil. Forest Ecology and Management 460, 117855

Gardner, CL., da Silva, D.R., Pagliai, F.A., Pan, L., Padgett-Pagliai, K.A., Blaustein, R.A., Merli, M.L., Zhang, D., Pereira, C., Teplitski, M, Chaparro, J.X., Folimonova, S.Y., Conesa, A., Gezan, S., Lorca, G.L., Fonzalez, C.F. 2020. Assessment of unconventional antimicrobial compounds for the control of ‘Candidatus Liberibacter asiaticus’, the causative agent of citrus greening disease. Scientific reports 10 (1), 1-15

Oliveira, I.C.M., Guilhen, J.H.S., de Oliveria Riberio, PC., Gezan, S.A., Schaffert, R.E., Simeone, M.L.F., Damasceno, C.M.B., de Souxs Carnerio, J.E., Carneiro, P.C.S., de Costa Parrella, R.A., and Pastina, M.M. 2020. Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates. Field Crop Research 257, 107929.

Palmas, S., Moreno, P.C., Cropper, W.P., A. Ortega, and Gezan, S.A. 2020. Stand-level components of a growth and yield model for Nothofagus mixed forests from southern Chile. Forests 11(8), 810

Prade, P., Minteer, C.R., Gezan, S.A., Arguijo, V.C., Bowers, K., Cuda, J.P. and Overholt, W.A. 2020. Host specificity and non-target longevity of Calophya lutea and Calophya terebinthifolii two potential biological control agents of Brazilian peppertree in Florida, USA. BioControl 1-14

Pradhan, S., Babar, M.A., Bai, G., Khan, J., Shahi, D., Avci, M., Guo, J., McBreen, J., Asseng, S., Gezan, S., Baik, B-K., Blount, A., Harrison, S., Sapkota, S., St Amand, P. and Kunwar, S. 2020. Genetic dissection of heat-responsive physiological traits to improve adaptation and increase yield potential in soft winter wheat. BMC Genomics 21 (1), 1-15

Shalizi, M.N., Gezan, S.A., McKeand, S.E., Sherrill, J.R., Cumbie, W.P., Whetten, R.W., and Isik, F. 2020. Correspondence between breeding values of the same Pinus taeda L. genotypes from clonal trials and half-sib seedling progeny trials. Forest Science 66(5):600-611

Weeks, E.N.I., Allan, S.A., Gezan, S.A. and Kaufman, P.E. 2020. Auto-dissemination of commercially available fungal pathogens in a laboratory assay for management of the brown dog tick Rhipicephalus sanguineus. Medical and Veterinary Entomology 34(2):184-191

Weeks, E.N.I., Logan, J.G., Birkett, M.A., Caulfield, J.C., Gezan, S.A., Welham, S.J., Brugman, V.A., Pickett, J.A., and Cameron, M.M. 2020. Electrophysiologically and behaviourally active semiochemicals identified from bed bug refuge substrate. Scientific Reports 10 (1), 1-14

Zingaretti, L.M., Gezan, S.A., Ferrão, L.F.V., Osorio, L.F., Monfort, A., Muñoz, P.R., Whitaker, V.M., and Pérez-Enciso, M. 2020. Exploring deep learning for complex trait genomic prediction in polyploid outcrossing species. Frontiers in plant science 11, 25

Drum, C.G., Jokela, E.J., Gezan, S.A. and Vogel, J.G. 2019. Belowground processes for two loblolly pine (Pinus taeda L.) families respond differently to the intensity of plantation management. Forest Ecology and Management 441, 293-301

Farias, A. A., Gezan, S., de Carvalho, M. P., Filho, A.C.F., and Soares, C.P.B. 2019. Allometric equations to predict Pinus palustris biomass in the southeastern United States. Floresta e Ambiente 26(Spec No 1): e2018403

Garber, A.F., Amini, F., Gezan, S.A., Swift, B.D., Hodkinson, S.D., Nickerson, J., and Bridger, C.J. 2019. Genetic and phenotypic evaluation of harvest traits from a comprehensive commercial Atlantic salmon, Salmo salar L., broodstock program. Aquaculture 503(30), 242-253

Hottel, B.A., Pereira, R.M., Gezan, S.A. and Koehler P.G. 2019. Sticky trap design considerations for entrapping Bed Bugs. Insects 10(6), 177

Inostroza, L.; Acuña, H; Méndez, J.; Bakta, M.; Gezan, S. 2019. Using genome conservation between Lotus japonicus and agronomically important Lotus species for discovering drought tolerance QTLs. Euphytica 215:153

Müller, B.S.F., de Almeida Filho, J.E., Lima, B.M., Garcia, C.C., Missiaggia, A., Aguiar, A.M., Takahashi, E., Kirst, M., Gezan, S.A., Silva‐Junior, O.B., Neves, L.G., and Grattapaglia, D. 2019. Independent and joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations. New Phytologist. doi: 10.1111/nph.15449

Pradhan, S., Babar, M.A., Robbins, K., Bai, G., Mason, R.E., Khan, J., Shahi, D., Avci, M., Guo, J., Hossain, M.M., Bhatta, M., Mergoum, M., Asseng, S., St Amand, P., Gezan, S.A., Baik, B-K., Blount A., and Bernardo, A. 2019. Understanding the genetic basis of spike fertility to improve grain number, harvest index, and grain yield in wheat under high temperature stress environments. Frontiers in Plant Science 10, 1481

Rios, E.F., Kenworthy, K.E, Gezan, S., Munoz, P.R. 2019. Genetic parameters for phenotypic traits in Annual Ryegrass. Crop Science 59:1–13.

Singh, J., Gezan, S. and Vallejos, C. 2019. Developmental pleiotropy shaped the roots of the domesticated common bean, Phaseolus vulgaris L. Plant Physiology. doi.org/10.1104/pp.18.01509

Stanczyk N.M., Brugman, V.A., Austin, V., Sanchez-Roman Teran, F., Gezan, S.A., Emery, M., Visser, T.M., Dessens, J.T., Stevens, W., Smallegange, R., Takken, W., Hurd, H., Caulfield, J., Birkett, M., Pickett, J., and Logan J.G. 2019 Species-specific alterations in Anopheles mosquito olfactory responses caused by Plasmodium infection. Scientific Reports 9(1), 3396.

Weeks, E.N.I., Allan, S.A., Gezan, S.A., and Kaufman, P.E. 2019. Auto‐dissemination of commercially available fungal pathogens in a laboratory assay for management of the brown dog tick Rhipicephalus sanguineus. Medical and Veterinary Entomology. doi.org/10.1111/mve.12426

Weeks, E.N.I., Baniszewski, J., Gezan, S.A., Allan, S.A., Cuda, J.P., and Stevens B.R. 2019. Methionine as a safe and effective novel biorational mosquito larvicide. Pest Management Science. doi.org/10.1002/ps.5118

Whitaker, V.M., Osorio, L., Gezan, S.A., Bernardo, R. and Verma, S. 2019. Impact on strawberry breeding: genome-wide selection in practice. Hortscience 54(9), S5-S6

Bracho, R., Vogel, J.G., Will, R.E., Noormets, A., Samuelson, L., Jokela, E.J., Gonzalez-Benecke, C.A., Gezan, S., Markewitz, D., Seller, J.R., Strahm, B.D., Teskey, R.O., Fox, T.R., Kane, M.B., Laviner, M.A., McEligot, K.M., Yang, J., Lin. W., Meek, C.R., Cucinela, J., Akers, M.K., and Martin, T. 2018. Carbon accumulation in loblolly pine plantations is increased by fertilization across a soil moisture availability gradient. Forest Ecology and Management 424:39-52.

Čepl, J., Stejskal, J., Lhotáková, Z., Holá, D., Korecký, J., Lstibůrek, M., Tomášková, I., Kočová, M., Rothová, O., Palovská, M., Hejtmánek, J., Krejzková, A., Gezan, S., Whetten, R., and Albrechtová, J. 2018. Heritable variation in needle spectral reflectance of Scots pine (Pinus sylvestris L.) peaks in red edge. Remote Sensing of Environment 219:89-98.

Dias, K.O.D.G., Gezan, S.A., Guimarães, C.T, Nazarian, A., Silva, L. de C., Parentoni, S.N., Guimareas, P.E. de O., Anoni, C. de O., Padua, J.M.V., Pinto, M. de O., Noda, R.W., Ribeiro, C.A.G., de Magalhaes, J.V., Garcia, A.A.F., de Souza, J.C., Guimaraes, L.J.M., Pastina, M.M. 2018. Improving accuracies of genomic predictions for drought tolerance in maize by joint modelling of additive and dominance effects in multi-environment trials. Heredity, doi.org/10.1038/s41437-018-0053-6

Dias, K.O.D.G., Gezan, S.A., Guimarães, C.T, Parentoni, S.N., Guimareas, P.E. de O., Carneiro, N. P., Portugual, A.F., Bastons, E.A., Cardoso, M.J., Anoni, C. de O, de Magalhaes, J.V., de Souza, J.C., Guimaraes, L.J.M and Pastina, M.M. 2018. Estimating genotype x environment interaction for and genetic correlations among drought tolerance traits in maize via factor analytic multiplicative mixed models. Crop Science 58:1-12; doi: 10.2135/cropsci2016.07.0566

Holderman, C.J., Gezan, S.A., Stone, A.E.S., Connelly, C.R., and Kaufman, P.E. 2018. Mosquitoes (Diptera: Culicidae) collected from residential yards and dog kernnels in Florida using two aspirators, a sweep net, or a CDC trap. Journal of Medical Entomology; doi: 10.1093/jme/tjx171

McElroy, M.S., Navarro, A.J.R., Mustiga, G., Stack, C., Gezan, S., Peña, G., Sarabia, W., Saquicela, D., Sotomayor, I., Douglas, G.M., Migocovsky, Z., Amores, F., Tarqui, O., Myles, S., and Motamayor, J.C. 2018. Prediction of Cacao (Theobroma cacao) resistance to Moniliophthora spp. diseases via genome-wide association analysis and genomic selection. Frontiers in Plant Science 9:343. doi: 10.3389/fpls.2018.00343

Moulton, M.P., Cropper, W.P. Jr., Broz, A.J., and Gezan, S.A. 2017. Patterns of success in game bird introductions in the United States. Biodiversity and Conservation 27(4):967-979; doi: 10.1007/s10531-017-1475-9

Mramba, L.K., Peter, G.F., Whitaker, V.M., and Gezan, S.A. 2018. Generating improved experimental designs with spatially and genetically correlated observations using mixed models. Agronomy 8(4):40.

Mustiga, G.M., Gezan, S.A., Phillips-Mora, W., Arciniegas-Leal, A., Mata-Quiros, A., and Motamayor, J.C. 2018. Phenotypic description of Theobroma cacao L. for yield and vigor traits from 34 hybrid families in Costa Rica based on the genetic basis of the parental population. Frontiers in Plant Science 9:808. doi: 10.3389/fpls.2018.00808

Tseng, Y.-C., Tillman, B., Gezan, S., Wang, J., and Rowland, D.L. 2018. Heritability of spotted wilt resistance in a Florida-EPTM ‘113’-derived peanut (Arachis hypogaea) population. Plant Breeding 137(4):614-620. doi: 10.1111/pbr.12610

Wallach, D., Hwang, C., Correll, M.J., Jones, J.W., Boote, K., Hoogenboom, G., Gezan, S., Bhakta, M., and Vallejos, C.E. 2018. A dynamic model with QTL covariables for predicting flowering time of common bean (Phaseolus vulgaris) genotypes. European Journal of Agronomy 101:200-209

Agramonte, N.M., Gezan, S.A., and Bernier, U. 2017. Comparative evaluation of a silicone membrane as an alternative to skin for testing mosquito repellents. Journal of Medical Entomology 54(3):631-637; doi: 10.1093/jme/tjw207

Aldridge, R.L., Kaufman, P.E., Bloomquist, J.R., Gezan, S.A., and Linthicum, K.J. 2017. Permethrin and malathion LD₉₀ values for Culex quinquefasciatus vary with application site.  Medical and Veterinary Entomology; doi: 10.1111/mve.12236

Aldridge, R.L., Kaufman, P.E., Bloomquist, J.R., Gezan, S.A., and Linthicum, K.J. 2017. Application site and mosquito age influences malathion- and permethrin-induced mortality in Culex quinquefasciatus (Diptera: Culicidae). Journal of Medical Entomology 54(6):1692-1698; doi: 10.1093/jme/tjx160

Bhakta, M.S., Gezan, S.A., Clavijo-Michelangeli, J.A., Carvalho, M., Zhang, L., Jones, J.W., Boote, K.J., Correll, M.J., Beaver, J., Osorno, J.M., Colbert, R., Rao, I., Beebe, S., Gonzalez, A., Ricaurte, J., and Vallejos, C.E. 2017. A predictive model for time-to-flowering in the common bean based on QTL and environmental variables. G3: Genes, Genomes, Genetics 7(12):3901-3912; doi: 10.1534/g3.117.300229

Carnohan, L.P., Kaufman, P.E., Allan, S.A., Gezan, S.A., and Weeks, E.N.I. 2017. Laboratory and field evaluation of brown dog tick behavioral responses to potential semiochemicals. Ticks and Tick-borne Diseases 8:226-234

DuVal, A., Gezan, S.A., Mustiga, G., Stack, C., Marelli, J.-P., Chaparro, J., Livingstone D. III, Royaert, S., and Motamayor, J.C. 2017. Genetic parameters and the impact of off-types for Theobroma cacao L. in a breeding program in Brazil. Frontiers in Plant Science 8:2059; doi: 10.3389/fpls.2017.02059

Gezan, S.A., Pisaroglo de Carvalho, M., and Sherrill, J. 2017. Statistical methods to explore genotype-by-environment interaction for loblolly pine clonal trials. Tree Genetics & Genomes 13:1; doi: 10.1007/s11295-016-1081-0

Gezan, S.A., Osorio, L.F., Verma, S., and Whitaker, V.M. 2017. An experimental validation of genomic selection in octoploid strawberry. Horticulture Research 4:16070; doi: 10.1038/hortres.2016.70

Hwang, C., Correll, M.J., Gezan, S.A., Zhang, L., Bhakta, M.S., Vallejos, C.E., Boote, K.J., Clavijo-Michelangeli, J.A., and Jones, J.W. 2017. Next generation crop models: A modular approach to model early vegetative and reproductive development of the common bean (Phaseolus vulgaris L.). Agricultural Systems 155:225-239

Lorca, G.L., Marcial, G., Ford, A., Gezan, S., Perry, D., Haller, M., Wasserfall, C., Brusko, T., Atkinson, M., Gonzalez, C., and Dahl, W. 2017. Immunological effects of Lactobacillus johnsonii N6.2 in healthy adults: A double-blind, randomized trial. FASEB Journal 31:454.2

Marcial, G.E., Ford, A.L., Haller, M.J., Gezan, S.A., Harrison, N.A., Cai, D., Meyer, J., Perry, D.J., Atkinson, M.A., Wasserfall, C.H., Garrett, T., Gonzalez, C.F., Brusko, T.M., Dahl, W.J., and Lorca, G.L. 2017. Lactobacillus johnsonii N6.2 modulates the host immune responses: A double-blind, randomized trial in healthy adults. Frontiers in Immunol. 8:655. doi: 10.3389/fimmu.2017.00655

Moreno, P.C., Gezan, S.A., Palmas, S., Escobedo, F.J., Cropper, W.P. 2017. Individual-tree diameter growth models for mixed Nothofagus second growth forests in southern Chile. Forests 8, 506; doi: 10.3390/f8120506

Quesada, T., Parisi, L.M., Huber, D.A., Gezan, S.A., Martin, T.A., Davis, J.M. and Peter, G.F. 2017. Genetic control of growth and shoot phenology in loblolly pine (Pinus taeda L.) clonal trials. Tree Genetics & Genomes 13:65. doi: 10.1007/s11295-017-1143-y

Singh, J., Clavijo-Michelangeli, J.A., Gezan, S.A., Lee, H., and Vallejos, C.E. 2017. Maternal effects on seed and seedling phenotypes in reciprocal F₁ hybrids of the common bean (Phaseolus vulgaris L.). Frontiers in Plant Science 8:42. doi: 10.3389/fpls.2017.0042

Whitaker, V.M., Lee, S., Osorio, L.F., Verma, S., Roach, J.A., Mangandi, J., Noh, Y.-H., Gezan, S.A., Peres, N. 2017. Advances in strawberry breeding at the University of Florida. Acta Horticulturae 1156. doi: 10.17660/ActaHortic.2017.1156.1

Xing, L., Gezan, S., Kenworthy, K., Unruh, B., and Munoz, P.R. 2017. Improved genetic parameter estimation in zoysiagrass by implementing post hoc blocking. Euphytica 213:195; doi: 10.1007/s10681-017-1984-3

Zhang, L., Gezan, S.A., Vallejos, C.E., Jones, J.W., Boote, K.J., Clavijo-Michelangeli, J.A., Bhakta, M., Osorno, J.M., Rao, I., Beebe, S., Roman-Paoli, E., Gonzalez, A., Beaver, J., Ricaurte, J., Colbert, R., and Correll, M.J. 2017. Development of a QTL-environment-based predictive model for node addition rate in common bean. Theoretical and Applied Genetics; doi: 10.1007/s00122-017-2871-y

Weeks, E., Machtinger, E., Gezan, S., and Kaufman, P. 2017. Effect of four commercial fungal formulations on mortality and sporulation of house flies (Musca domestica) and stable flies (Stomoxys calcitrans). Medical and Veterinary Entomology; doi: 10.1111/mve.12201

Aldridge, R.L., Kaufman, P.E., Bloomquist, J.R., Gezan, S.A., and Linthicum, K.J. 2016. Impact of topical application site on the efficacy of permethrin and malathion to Culex quinquefasciatus. Journal of the American Mosquito Control Association 32(4):300-307

Baniszewski, J., Cuda, J.P., Gezan, S.A., Sharma, S., and Weeks, E.N.I. 2016. Stem fragment regrowth of Hydrilla verticillata following desiccation. Journal of Aquatic Plant Management 54:53-60

Escobedo, F.J., Palmas-Perez, S., Dobbs, C., Gezan, S.A., and Hernandez, J. 2016. Spatio-temporal changes in structure for a Mediterranean urban forest: Santiago, Chile 2002 to 2014. Forests 2016:7; doi: 10.3390/f7060121

Kaur, N., Gillett-Kaufman, J., Gezan, S., and Buss, E. 2016. Association between Blissus insularis densities and St. Augustinegrass lawn parameters in Florida. Crop, Forage, & Management 1; doi: 10.2134/cftm2016.0015

Martins, K., Kimura, R.K., Francisconi, A.F., Gezan, S., Kainer, K., and Christianini, A.V. 2015. The role of very small fragments in conserving genetic diversity of a common tree in a hyper fragmented Brazilian Atlantic forest landscape. Conservation Genetics; doi: 10.1007/s10592-015-0800-7

Nazarian, A., and Gezan, S. 2016. GenoMatrix: a software package for pedigree-based and genomic prediction analyses on complex traits. Journal of Heredity 107(4):372-379; doi:10.1093/jhered/esw020  

Orsborne, J., DeRaedt Banks, S., Hendy, A. Gezan, S.A., Kaur, H., Wilder-Smith, A., Lindsay, S.W., and Logan, J.G. 2016. Personal protection of permethrin-treated clothing against Aedes aegypti, the vector of Dengue and Zika virus, in the laboratory. PLoS One 11(5):e0152805; doi:10.1371/journal.pone.0152805

Pádua, J.M.V., Das Graças Dias, K.O., Pastina, M.M., de Souza, J.C., Quiroz, V.A.V., de Costa, R.V., da Silva, M.B.P., Ribeiro, C.A.G., Guimares, C.T., Gezan, S.A., and Guimares, L.J.M. 2016. A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize. Euphytica 211: 277; doi:10.1007/s10681-016-1722-2

Sasson, D.A., Munoz, P.R., Gezan, S.A., and Miller, C.W. 2016. Resource quality affects weapon and testis size and the ability of these traits to respond to selection in the leaf-footed cactus bug, Narnia femorata. Ecology and Evolution 6:2098–2108; doi:10.1002/ece3.2017

Bentley, M.T., Oi, F.M., Gezan, S.A., and Hahn, D.A. 2015. Tunneling performance increases at lower temperatures for Solenopsis invicta (Buren) but not for Nylanderia fulva (Mayr). Insects 6:686-695

Carnohan, L.P., Kaufman, P.E., Allan. S.A., Gezan, S.A., and Weeks, E.N.I. 2015. Evaluation of four bed bug traps for surveillance of the brown dog tick (Acari Ixodidae). Journal of Medical Entomology 52(2):260-268; doi: 10.1093/jme/tju020

DeRaedt Banks, S., Orsborne, J., Gezan, S.A., Kaur, H., Wilder-Smith, A., Lindsey, S.W., and Logan, J.G. 2015. Permethrin-treated clothing as protection against the Dengue vector, Aedes aegypti: extent and duration of protection. PLoS Neglected Tropical Diseases 9(10):e0004109. doi:10.1371/journal.pntd.0004109

Fernández-Grandon, G.M., Gezan, S.A., Armour, J.A.L., Pickett, J.A., and Logan, J.G. 2015. Heritability of attractiveness to mosquitoes. PLoS ONE 10(4):e0122716; doi:10.1371/journal.pone.0122716

Garcia-Villacorta, A.M., Jokela, E.J., Cropper, W.P. Gezan, S.A., and Martin, T. 2015. Variation in biomass distribution and nutrient content in loblolly pine (Pinus taeda L.) clones having contrasting crown architecture and growth efficiency. Forest Ecology and Management. 342: 94-92

Gilbert, J.L., Guthart, M.J., Gezan, S.A., Pisaroglo de Carvalho, M., Schwieterman, M.L., Colquhoun, T.A., Bartoshuk, L.M., Sims, C.A., Clark, D.G. and Olmstead, J.W. 2015. Identifying breeding priorities for blueberry flavor using biochemical, sensory and genotype by environment analyses. PLoS ONE 10(9):e0138494; doi:10.1371/journal.pone.0138494

Gungeet J., Gezan, S., Stopka, C., Pigg, M., and Tillman, M. 2015. College students as informal caregivers and their attitude toward their older relatives. The International Journal of Aging and Society 5(4):47-60

Hottel, B.A., Pereira, R.M., Gezan, S.A., Qing, R., Sigmund, W.M., and Koehler, P.G. 2015. Climbing ability of the common bed bug (Hemiptera: Cimicidae). Journal of Medical Entomology 52(3):289-295

Jiang, L., Clavijo, J.A., Sun, L., Zhy, X., Bhakta, M.S., Gezan, S.A., Carvalho, M., Vallejos, C.E., and Wu, R. 2015. Plastic expression of heterochrony quantitative trait loci (hQTLs) for leaf growth in the common bean (Phaseolus vulgaris). New Phytologist 207(3):872-882

Nazarian, A., and Gezan, S.A. 2015. Integrating nonadditive genomic relationship matrices into the study of genetic architecture of complex traits. Journal of Heredity; doi: 10.1093/jhered/esv096

Soares, C.P.B., Gezan, S.A., da Silva, G.F., and Castro, R.V.O. 2015. Individual-tree growth and mortality models for semideciduous Atlantic forest in Brazil. Australian Journal of Basic and Applied Sciences 9(11):542-552

Zhai, L., Jokela, E.J., Gezan, S.A., and Vogel, J.G. 2015. Family, environment and silviculture effects in pure- and mixed-family stands of loblolly (Pinus taeda L.) and slash (P. elliottii Engelm. var. elliottii) pine. Forest Ecology and Management 337:28-40

Zhang, J., Peter, G.F., Powell, G.L., White, T.L., and Gezan, S.A. 2015. Comparison of breeding values estimated between single-tree and multiple-tree plots for a slash pine population. Tree Genetics & Genomes 11:48; doi 10.1007/s11295-015-0870-1

Gonzalez-Beneke, C.A., Gezan, S., Albaugh, T.J., Allen, H.L., Burkhart, H.E., Fox, T.R., Jokela, E.J., Maier, C.A., Martin, T.A., Rubilar, R.A., and Samuelson, L.J. 2014. Local and general above-stump biomass functions for loblolly pine and slash pine trees. Forest Ecology and Management 334:254-276

Gonzalez-Beneke, C.A., Gezan, S., Martin, T., Cropper Jr., W., Samuelson, L., and Leduc, D. 2014. Individual tree diameter, height and volume functions for longleaf pine. Forest Science 60:43-56

Gonzalez-Beneke, C.A., Gezan, S., Samuelson, L., Cropper Jr., W., Leduc, D., and Martin, T. 2014. Estimating Pinus palustris tree diameter and stem volume from tree height, crown area and stand-level parameters. Journal of Forestry Research 25:43-52

Gungeet J., Gezan, S., Delisle, T., Stopka, C., Pigg, M., and Tillman, M. 2014. Intentions of college students to serve as informal caregivers for their older relatives: Theory of planned behavior approach. Educational Gerontology 41:384-396

Munoz, P., Resende, M.F.R., Gezan, S., Resende, M.D.V., de los Campos, G., Kirst, M., Huber, D., and Peter, G.F. 2014. Unraveling additive from non-additive effects using Genomic Relationship Matrices. Genetics 198:1759-1786

Pisaroglo de Carvalho, M., Peternelli, L., Barbosa, M., and Gezan, S. 2014. Estimation of additive and non-additive genetic components of sugarcane families using multitrait analysis. Agronomy Journal 106:800-808

Quesada, T., Resende, M., Munoz, P., Wegrzyn, J.L., Neale, D.B., Kirst, M., Peter, G.F., Gezan, S., Nelson, D., and Davis, J. 2014. Mapping fusiform rust resistance genes within a complex mating designs of loblolly pine. Forests 2014:347-362

Silva, G.A.P., Gezan, S.A., de Carvalho, M.P., Gouvêa, L.R.L., Verardi, C.K., Oliveira, A.B., and Gonçalves, P.S. 2014. Estimation of genetic parameters in a rubber tree population: heritabilities, genotype-by-environment interactions and multitrait correlations. Tree Genetics & Genomes 10(6):1511-1518

Sulston, E., Wardhana, A.H., Hall, M.J.R., Logan, J.G., Gezan, S.A., and Cameron, M.M. 2014. Combining cattle and wound-derived synthetic attractants, POC and Bezzilure, for sampling Chrysomya bezziana in Indonesia. Acta Tropica; http://dx.doi.org/10.1016/j.actatropica. 2014.04.017

Weeks, E.N.I., Davies, C., Cordon-Rosales, C., Yeo, M., Gezan, S., Parra-Henao, G. and Cameron, M.M. 2014. Community-based sampling methods for surveillance of the Chagas disease vector, Triatoma dimidiata (Hemiptera: Reduviidae: Triatominae). Journal of Medical Entomology 51(5):1035-1042

White, T., Davis, J., Gezan, S., Hulcr, J., Jokela, E., Kirst, M., Martin, T.A., Peter, G., Powell, G., and Smith, J. 2014. Breeding for value in a changing world: past achievements and future prospects. New Forests 45:301-309

Clavijo-Michelangeli, J., Bhakta, M., Gezan, S., Boote, K., and Vallejos, C. 2013. From flower to seed: identifying phenological markers and reliable growth functions to model reproductive development in the common bean (Phaselus vulgaris L.). Plant, Cell and Environment 36:2046-2058.

Fernandes da Silva, G., Gezan, S., Soares, C.P.B., and Zaneti, L.Z. 2013. Modeling growth and yield of Schizolobiun amazonicum under different spacings. International Journal of Forestry Research 2013:675138

Smallegange, R.C., van Gemert, G-J., van de Vegte-Bolmer, M., Gezan, S., Takker, W., Sauerwein, R.W., and Logan, J.G. 2013. Malaria infected mosquitoes express enhanced attraction to human odor. PLoS One 8:e63602; doi:10.1371/journal/pone.0063602

Weeks, E.N.I., Cordon-Rosales, C., Davies, C., Gezan, S., Yeo, M., and Cameron, M.M. 2013. Risk factors for domestic infestation by the Chagas disease vector, Triatoma dimidiata in Chiquimula, Guatemala. Bulletin of Entomological Research 103:634-643

Westbrook, J., Resende, M., Munoz, P., Walker, A., Wegrzyn, J., Nelson, D., Neale, D., Kirst, M., Huber, D., Gezan, S., Peter, G., and Davis, J. 2013. Association genetics of oleoresin flow in loblolly pine: discovering genes and predicting phenotype for improved resistance to bark beetles and bioenergy potential. New Phytologist 199:89-100

Ewens, M., Gezan, S., and Felker, P. 2012. Five-year field evaluation of Prosopis alba clones on pH 9–10 soils in Argentina selected for growth in the greenhouse at seawater salinities (45 dS m⁻¹). Forests 3:95-112

Gonzalez-Benecke, C.A., Gezan, S.A., Leduc, D.J., Martin, T.A., Cropper, Jr., W.P., and Samuelson, L.J. 2012. Modeling survival, yield, volume partitioning and their response to thinning for longleaf pine plantations. Forests 3:1104-1132

Kukrety, S., Gezan, S., Jose, S., and Alavalapati, J. 2012. Facilitating establishment of advance regeneration of Pterocarpus santalinus L.: An endangered tree species from India. Restoration Ecology 21:372-379

Whitaker, V.M., Osorio, L.F., Hasing, T., and Gezan, S. 2012. Estimation of genetic parameters for 12 fruit and vegetative traits in the University of Florida strawberry breeding program. Journal of the American Society for Horticultural Science 137:316-325

Duchelle, A., Cronkleton, P., Kainer, K., Guanacoma, G., and Gezan, S.A. 2011. Resource theft in tropical forest communities: implications for non-timber management, livelihoods, and conservation. Ecology and Society 16:4; http://www.ecologyandsociety.org/vol16/iss1/art4/

Gezan, S.A., White, T.L., and Huber, D.A. 2010. Accounting for spatial variability in breeding trials: a simulation study. Agronomy Journal 102:1562-1571

Kehel, Z., Habash, D.Z., Gezan, S.A., Nachit, M.M., and Welham, S.J. 2010. Estimation of spatial trend and automatic model selection in augmented designs. Agronomy Journal 102:1542-1552

Webster, B., Gezan, S., Bruce, T., Hardie, J., and Pickett, J. 2010. Between plant and diurnal variation in quantities and ratios of volatile compounds emitted by Vicia faba plants. Phytochemistry 71:81-89

Weeks, E.N.I., Logan. J.G., Gezan, S.A., Woodcock, C.M., Birkett, M.A., Pickett, J.A., and Cameron, M.M. 2010. A bioassay for studying behavioural responses of the common bed bug, Cimex lectularius (Hemiptera: Cimididae) to bed bug-derived volatiles. Bulletin of Entomological Research 101:1-8

Gezan, S., Moreno, P., and Ortega, A. 2009. Modelos fustales para renovales de roble, rauli y coigue en Chile [Taper models for roble, rauli and coigue second growth forests in Chile]. Bosque 30:61-69 (In Spanish)

Logan, J., Seal, N., Cook, J., Stanczyk, N.M., Birkett, M.A., Clark, S.J., Gezan, S.A., Wadhams, L.J., Pickett, J.A., and Mordue, A.J. 2009. Identification of human-derived volatile chemicals that interfere with attraction of the Scottish biting midge and their potential use as repellents. Journal of Medical Entomology 46:208-219

Richards. L., Boase, C.J., Gezan, S., and Cameron, M.M. 2009. Are bed bug infestations on the increase within Greater London? Journal of Environmental Health Research 9:17-24

Wan, Y., Underwood, C., Toole, G., Skeggs, P., Zhu, T., Leverington, M., Griffiths, S., Wheeler, T., Gooding, M., Poole, R., Edwards, K.J., Gezan, S., Welham, S., Snape, J., Mills, E.N., Mitchell, R.A., and Shewry, P.R. 2009. A novel transcriptomic approach to identify candidate genes for grain quality traits in wheat. Plant Biotechnology Journal 7:401-410

Cuzick, A., Lee, S. Gezan, S., and Hammond-Kosack K. 2008. NPR1 and EDS11 contribute to host resistance against Fusarium culmorum in Arabidopsis buds and flowers. Molecular Plant Pathology 9:697-704

Gezan, S.A., Macalpine, W., Shield, I., and Welham, S. 2008. Controlling for competition in neighbouring field plots in a willow (Salix spp.) trial. Biomass and Energy Crops III: Aspects of Applied Biology 90:181-187.

Gezan, S., and Riche, A. 2008. Over-winter yield decline in Switchgrass and Miscanthus. Biomass and Energy Crops III: Aspects of Applied Biology 90:219-223.

Riche, A., Gezan, S., and Yates, N. 2008. An empirical model for Switchgrass to predict yield from site and climatic variables. Aspects of Applied Biology 90, Biomass and Energy Crops III. pp. 213.218

Richter, G.M., Riche, A., Dailey, A.G., Gezan, S., and Powlson, D.S. 2008. Is UK biofuel supply from Miscanthus water-limited? Soil Use and Management 24:235-245

Bayram, A., Gultekin, A., Bruce, T., and Gezan, S.A. 2007. Factors associated with mortality of the over wintering generation of Sesamia nonagrioides under field conditions. Phytoparasitica 35:490-506

Gezan, S.A., Ortega, A., and Andenmatten, E. 2007. Diagramas de manejo de densidad para renovales de roble, raulí y coigüe en Chile [Stocking management charts for roble, raulí and coigüe second growth forests in Chile]. Bosque 28:97-105 (In Spanish)

Gezan, S.A., Huber, D.A., and White, T.L. 2006. Post-hoc blocking to improve breeding value prediction. Canadian Journal of Forest Research 36:2141-2147

Gezan, S.A., White, T.L., and Huber, D.A. 2006. Comparison of experimental designs for clonal forestry using simulated data. Forest Science 52:108-116

Gezan, S.A., White, T.L., and Huber, D.A. 2006. Achieving higher heritabilities through improved design and analysis of clonal trials. Canadian Journal of Forest Research 36:2148-2156

Ortega, A., and Gezan, S. 1998. Cuantificacion de crecimiento y proyeccion de calidad en Nothofagus [Growth quantification and quality projection in Nothofagus]. Bosque 19:123-126 (In Spanish)

Books

Welham, S., Gezan, S., Clark, S., and Mead, A. 2014. Statistical Methods in Biology: Design and Analysis of Experiments and Regression. Chapman and Hall/CRC. 608p.

Book Chapters

Gezan, S.A., and Carvalho, M. 2018. Analysis of repeated measures for the biological and agricultural sciences. Book Chapter. In: Applied Statistics in Agricultural, Biological, and Environmental Sciences. Glaz, B., and Yeater, K.M. (eds.). American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Stringer, J.K., Atkin, F.C., and Gezan, S.A. 2017. Statistical Approaches in Plant Breeding: Maximising the Use of the Genetic Information. Book Chapter. In: Genetic Improvement of Tropical Crops. Campos, H., and Caligari (eds.). Springer. 3-17.

Editor Journal

Agronomy Journal (Associate Editor, Biometrics Section) (June 2015- June 2017)

Forests (Editorial Board Member) (January 2019-present)

Graduate Committee

Chair Ph.D. (2 students), Chair Master (4),

Member Ph.D. (27), Member Master (5)