Find Academic Supervisors

• Animal Biotechnology
• Molecular Biology
• In-Vitro Cell Culture
• +5 more

Mahipal Singh is a Professor of Animal Biotechnology and Coordinator of the Animal Science Undergraduate Program at Fort Valley State University (FVSU), where he is affiliated with the College of Agriculture, Family Sciences and Technology and the Department of Agricultural Sciences. He has been at FVSU since 2000 in various capacities, progressing from Adjunct Biology/MPH Graduate Faculty to his current position as full Professor since 2019. Dr. Singh earned his educational credentials in India: a B.S. (Hons) in Zoology from Meerut College (1978), an M.S. in Zoology from the Institute of Advanced Studies, Meerut University (1983), and a Ph.D. in Zoology-Microbiology from Banaras Hindu University, Varanasi (1989). His academic journey included prestigious appointments such as International Visiting Fellow at the National Institute of Child Health and Human Development, NIH (1991-1993) and Postdoctoral Fellow at the Medical University of South Carolina (1989-1991). His research focuses on cutting-edge areas of animal biotechnology, particularly in postmortem cell recovery, genome editing in livestock, and myostatin gene targeting. Dr. Singh has pioneered work demonstrating that individual cells remain viable in mammalian tissues for much longer periods after death than previously believed, with applications for cellular therapies and germplasm preservation. His work with CRISPR/Cas technology aims to reduce milk allergens and mastitis in goats, while his myostatin research seeks to enhance muscular mass in meat goats for agricultural applications. Analysis of his recent publications reveals a consistent focus on cellular viability after death across multiple livestock species (cattle, goats, sheep), with particular attention to temperature effects and storage conditions. His work bridges basic cellular biology with practical agricultural applications, demonstrating how fundamental discoveries about postmortem cellular life can translate into biotechnological advances for livestock preservation and improvement. USDA-ARS 1890 Faculty Research Fellowship Award (2017) STEM Research Excellence Award, Fort Valley State University (2014-15) Multiple student research presentation awards at FVSU Annual Research Day symposiums Best Poster Award at National Symposium on Biotechnology, CIMAP, Lucknow, India (1999) Fogarty International Visiting Fellowship at NIH (1991-93) Dr. Singh has supervised an impressive 38 students across multiple educational levels, including 4 PhD, 13 MS, 7 BS, 8 HS, and 6 middle school students. His research has been supported by USDA-ARS, USDA-NIFA programs, and various other grants. He serves on multiple editorial boards, grant review panels, and university committees, and is an active member of professional societies including the American Society of Animal Science and Society for In Vitro Biology. Based in the Stallworth Biotechnology Building at FVSU, Dr. Singh leads research projects that bridge molecular biology with practical agricultural applications, working collaboratively with researchers from USDA-ARS, University of Illinois, University of Maryland, and other institutions to advance animal biotechnology and improve livestock production systems.

• Genomics
• Genetics
• Breed
• +5 more

Richard Crooijmans is an Associate Professor at Wageningen University & Research in the field of Animal Breeding and Genetics. With over 363 research outputs and 50 datasets, his work spans genomics, genetic divergence, and livestock breeding. Research interests include: Genomics and Whole Genome Sequencing Animal Genetics and Breeding Programs Genetic Variability and Marker-Assisted Selection Recent publications in 2025 focus on probiotic effects on broiler breeders, pig mutation rates, and genomic selection in Holstein cattle. His projects involve advising PhD candidates in areas like ethical egg industry development and milk composition genetics. Current advising : Fotowatikha Someeserai (PhD, ethical egg industry) Zhuang Z. (PhD, epigenomic regulatory elements) Gao J. (PhD, genomic data analysis) Media contributions include genetic research on Dutch chicken breeds and aurochs extinction.

Shannon NeibergsView profile

Researcher

• Economics of Livestock Production and Management
• Auction Markets
• Agribusiness Employment
• +3 more

Shannon Neibergs is an academic professional at Washington State University (WSU), serving as Director of the Western Center for Risk Management Education and Extension Specialist in the School of Economic Sciences. She holds a Ph.D. in Agricultural Economics from Texas A&M University (1993), an M.A. in Agricultural Economics from WSU (1987), and a B.S. in Animal Science from WSU (1983). Her research focuses on livestock production economics, auction market dynamics, and agribusiness employment strategies, with significant contributions to risk management education and sustainable agriculture. Notable honors include NACAA National and Regional Finalist awards for team newsletters (2010, 2008), a Faculty Member of the Year Award (University of Louisville, 1997), and multiple annual evaluation awards for service and research excellence. Her work bridges academic research with practical extension programs, addressing challenges in beef production systems, genomic selection tools, and rangeland management. Risk Management Education: Leads initiatives to help farmers navigate market uncertainties and policy changes. Livestock Economics: Specializes in production costs, crossbreeding impacts, and disease management economics. Regional Agriculture: Analyzes economic contributions of Washington's beef and dairy sectors through input-output models. Her advisory and collaborative efforts include managing the Western Center for Risk Management and contributing to the Beef Risk Control (BRD CAP) project. She collaborates with ranchers and policymakers to enhance agricultural resilience. Active in interdisciplinary teams such as the IMPACT Center and Transportation Research Group, her work emphasizes translating research into actionable solutions for agricultural stakeholders.

Andrew RisemanView profile

Associate Professor

• Sustainable Agriculture
• Plant Breeding
• Agroecology
• +6 more

Andrew Riseman serves as an Associate Professor in the Department of Applied Biology within the Faculty of Land and Food Systems at the University of British Columbia. His academic work bridges sustainable agricultural systems, plant breeding, and educational innovation, with particular emphasis on integrated crop-livestock models and urban farming applications. His educational background includes: PhD from Pennsylvania State University (1997) MSc from Pennsylvania State University (1990) BSc from Pennsylvania State University (1984) Riseman's research program investigates plant genetics for sustainable production systems, focusing on intercrop interactions, nutrient use efficiency, root physiology, and biotic/abiotic stress resistance. He develops germplasm specifically for multi-trophic production environments and urban agriculture contexts. Complementing his biological research, he actively engages in the Scholarship of Teaching and Learning and Community Based Action Research, with interests in critical thinking pedagogy and technology-enhanced educational environments. Analysis of his 2011-2015 publications reveals consistent investigation into intercropping dynamics (wheat-bean, barley-pea), nutrient cycling, and water management across diverse cropping systems. Key contributions include evaluations of organic production methods, root architecture variation, and sustainable rice intensification techniques, demonstrating a systems-oriented approach to agroecological challenges. No scientific awards or honors were documented in the provided source material. As a graduate supervisor, Riseman mentors students in UBC's Integrated Studies in Land and Food Systems and Plant Science programs. His research portfolio includes funded projects on bioactive agricultural formulations, plant genetics in intercropping systems, and nitrogen source evaluations in organic production. Educational grants have supported his development of computer simulations for plant breeding education and scaffolded experiential learning initiatives within Land and Food Systems curriculum. Riseman maintains active affiliation with the Centre for Sustainable Food Systems at UBC Farm and the Diversified Agroecosystem Cluster. He champions the UBC Farm as a vital academic resource for sustainable food system research, teaching, and community outreach, viewing its continued evolution as essential to advancing land and food systems scholarship.

Romdhane RekayaView profile

Professor

• Animal Breeding and Genetics
• Quantitative Genetics
• Genomics
• +4 more

Romdhane Rekaya serves as a Professor in the Department of Animal and Dairy Science within the College of Agricultural & Environmental Sciences at the University of Georgia. He also holds courtesy faculty positions in the Department of Statistics and is an associate faculty member with the Institute of Bioinformatics at UGA. His research program focuses on developing statistical and computational tools for analyzing large genetic and genomic datasets with applications in livestock, poultry, and human health. Dr. Rekaya's educational background includes: Agriculture Engineer from the High Institute of Agriculture, Tunisia Master of Science from the International Center for Advanced Studies in Mediterranean Agriculture of Zaragoza, Spain Ph.D. from the Polytechnic University of Madrid, Spain Dr. Rekaya's research interests span quantitative genetics, genomics, biostatistics, and bioinformatics. His work centers on developing statistical and computational methodologies for analyzing big genetic and genomic data sets with practical applications in livestock, poultry, and human health. His research has been particularly focused on addressing critical challenges in animal agriculture including horn fly resistance in beef cattle, water utilization efficiency in poultry, and greenhouse gas emissions in dairy production. His methodological approaches often integrate machine learning, Bayesian statistics, and genomic technologies to solve complex biological problems. Dr. Rekaya's publication record demonstrates a consistent focus on statistical methodology development for genetic analysis, with recent work increasingly emphasizing practical applications of genomic technologies in animal agriculture. His research spans both theoretical statistical development and practical implementation in livestock improvement programs, with particular emphasis on innovative approaches to traditional breeding challenges. Among his professional recognitions: Student Career Success Influencer Award 2024 Mini-Sabbatical Award Student Career Success Influencer Award 2022 Carnegie fellowship Carnegie African Diaspora Fellow Faculty with significant positive impact of at least one graduate student Gamma Sigma Delta outstanding Research Achievements Award Dr. Rekaya has successfully mentored numerous graduate students including PhD candidates Amanda Warner, Mahsa Zare, Koushik Das, and Evan Hartono, along with undergraduate researchers. His research has been consistently supported by major funding agencies including USDA NIFA, USDA ARS, Georgia Agricultural Commodity Commission for Beef, National Academy of Sciences, and industry partners including Tyson Foods and Cobb-Vantress. Current projects include developing genetic solutions to the horn fly problem in beef cattle, improving water utilization efficiency in poultry, and examining associations between greenhouse gas emissions and feed efficiency in dairy cattle. Dr. Rekaya leads an active research laboratory that collaborates with multiple departments and institutions. His lab focuses on applying advanced statistical and computational methods to solve pressing problems in animal agriculture, with particular emphasis on integrating genomic information into practical breeding programs. The lab maintains strong industry connections and international collaborations, particularly with researchers in Africa through the African Animal Breeding Network.

• Grassland Ecology
• Forage Science
• Sustainable Livestock Production
• +4 more

Juan Solomon serves as an Associate Professor in the Department of Agriculture, Veterinary and Rangeland Sciences at the University of Nevada, Reno. His research lab operates from Building FA, Room 226d (Mail Stop 202), with direct contact via (775) 784-6888 or juansolomon@unr.edu. Education: B.S. in Agriculture, University of Guyana (2000) Graduate Diploma in Education-Science, University of Guyana (2005) M.S. in Agriculture, Mississippi State University (2010) Ph.D. in Agriculture, Mississippi State University (2013) Research Focus: Dr. Solomon's work centers on grassland ecology and sustainable pastoral systems for ruminant livestock, with emphasis on grazing management, forage quality evaluation, and drought-tolerant crop development. His research program investigates water use efficiency in semiarid forage systems, nutrient cycling dynamics, and climate-resilient crop screening—particularly for native and improved forages in arid western environments. Field studies often integrate ecosystem service valuation with practical livestock production metrics. Publication Trends: Recent work (2023-2025) demonstrates concentrated expertise in alternative forage systems, with 15 high-impact studies examining teff double-cropping, industrial hemp varietals, and cover crop nutrient cycling in Nevada's semiarid landscapes. Key methodological approaches include deficit irrigation analysis, nitrogen optimization trials, and biomass decomposition modeling—all targeting resource-efficient agricultural solutions for water-limited regions.

Lindsay R. MehrkamView profile

Associate Professor

• Animal Behavior
• Applied Behavior Analysis
• Human-Animal Interaction
• +3 more

Lindsay R. Mehrkam, Ph.D., BCBA-D is an Associate Professor in the Department of Psychology at Monmouth University. She directs the Human-Animal Wellness Collaboratory (HAWC) and Aquatic Animal Learning Lab, serves as Program Coordinator for the MU-Six Flags Affiliation, and holds Vice-Chair position on the Institutional Animal Care & Use Committee (IACUC). Her work bridges applied animal behavior, welfare science, and behavior analysis across diverse settings including zoos, shelters, and sanctuaries. Education: Ph.D., University of Florida M.S., University of Florida B.A., Franklin & Marshall College Research Focus: Dr. Mehrkam investigates environmental influences on play, aggression, and stereotypic behaviors in companion and exotic animals, develops evidence-based enrichment and training protocols for captive welfare, and evaluates human-animal interactions in therapeutic contexts. Her approach integrates behavior analysis with ethology to create practical solutions for animal care facilities, emphasizing measurable welfare outcomes through rigorous experimental design. Publication Trends: Analysis of her 15 most recent publications reveals consistent focus on applied behavior analysis in animal contexts (2014-2020), with 60% targeting canine behavior, 20% marine/exotic species, and 20% cross-species welfare assessment. Key methodological themes include functional analysis of problem behaviors (33% of papers), enrichment efficacy testing (27%), and preference assessment protocols (20%). Her work increasingly incorporates physiological biomarkers alongside behavioral metrics since 2017. Awards & Recognition: Creativity Grant (2020) Maddie's Fund Grant: Do Playgroups Increase Behavioral and Physiological Welfare in Shelter Dogs? (2017, $131,395 as PI) Doctoral-Level Board-Certified Behavior Analyst (BACB, Certificate #1-15-17919) Featured in Scientific American, Gizmodo, and Phys.org for feline/dolphin welfare research Professional Leadership: As Departmental Advising Coordinator, she guides students through field experiences at Six Flags and animal shelters. She serves as Vice President of ABAI's Applied Animal Behavior SIG and advisor for Big Oak Wolf Sanctuary. Her FEMA-invited webinar on Animal Emergency Preparedness demonstrates real-world impact of her research, while Swiss Veterinary Congress presentations establish international influence in clinical animal behavior. Laboratory Operations: The HAWC lab conducts collaborative research with animal shelters and sanctuaries on behavioral assessment protocols, while the Aquatic Animal Learning Lab partners with Six Flags to study marine mammal cognition. Both labs emphasize student involvement through the PY 411 Field Experience course, producing peer-reviewed publications with undergraduate co-authors and developing evidence-based welfare protocols adopted by multiple zoological institutions.

Ayesha AliView profile

Professor

• Graphical Markov models
• Pollination networks
• Multivariate statistics
• +7 more

Ayesha Ali is a Professor of Statistics and Director of the Master of Data Science program at the University of Guelph. She holds a PhD in Statistics from the University of Washington (2002) and has expertise in statistical methods for complex high-dimensional systems, including ecological networks, causal inference, and bioinformatics. Her research integrates graphical Markov models, machine learning, and statistical computing to address challenges in plant-pollinator networks, livestock genetics, and disease risk modeling. Education: B.Sc. Honours in Statistics and Actuarial Science, University of Western Ontario (1996) M.Sc. in Statistics, University of Toronto (1998) Ph.D. in Statistics, University of Washington (2002) Research Interests: Graphical Markov models and ecological networks Causal inference and longitudinal data analysis Machine learning and high-dimensional predictive modeling Statistical methods for livestock genetics and animal health Computational statistics and bioinformatics Articles Trends: Her recent work spans interdisciplinary applications, including veterinary oncology biomarker discovery, remote sensing for agricultural suitability, and pipeline development for cross-species transcriptomics. She emphasizes graphical structure exploitation in regression and predictive modeling, with contributions to both theoretical and applied statistical methodologies. Awards: Canadian Journal of Statistics Award (2020) for groundbreaking work on doubly sparse regression NSERC Discovery Grant (2018) NSERC Collaborative Research and Development Grant (2015) Advising & Grants: She has supervised numerous graduate and undergraduate students on projects ranging from plant-pollinator network analysis to bioinformatics. Her grants include NSERC-funded research on milk fatty acid genetics and statistical methods for clustered data. Labs/Teams: Involved in the Bioinformatics program at the University of Guelph, contributing to interdisciplinary research collaborations in ecology and animal science.

• Biometrics and Genetics
• Cattle Breeding and Improvement
• Small Animal Breeding and Improvement
• +3 more

Prof. Dr. Aziz ŞAHİN is a Professor in the Department of Animal Science at the Faculty of Agriculture, Kirşehir Ahi Evran University, Turkey. With over two decades of academic experience, he has progressed from Research Assistant to Professor, holding positions at both Gaziosmanpaşa University and Ahi Evran University. His scholarly contributions span numerous research areas within animal science, with particular emphasis on biometrics, genetics, and breeding of both large and small livestock. Dr. ŞAHİN earned his Bachelor's degree in Animal Science from Ondokuz Mayıs University (1996-2000), followed by a Master's degree in Animal Science from Gaziosmanpaşa University (2001-2004), and completed his PhD in Animal Science at the same institution (2004-2010). His academic journey reflects a consistent dedication to advancing knowledge in animal breeding and genetics. His research primarily focuses on Biometrics and Genetics, Cattle Breeding and Improvement, and Small Animal Breeding and Improvement . Analysis of his publication record reveals a strong emphasis on buffalo and cattle breeding, with particular attention to lactation curves, genetic parameter estimation, meat quality characteristics, and environmental factors affecting dairy production. His work bridges theoretical genetic principles with practical applications in livestock management. Dr. ŞAHİN has received significant recognition for his scholarly contributions, including the prestigious TÜBİTAK Yayın Teşvik award in both 2012 and 2014. His research impact is evident through substantial citation metrics across multiple platforms: UNIS (389 citations, h-index 10), Web of Science (174 citations, h-index 7), Scopus (207 citations, h-index 8), and Google Scholar (747 citations, h-index 15). As an academic mentor, Dr. ŞAHİN has supervised numerous graduate students, serving as primary advisor for 9 Master's theses and 1 Doctoral dissertation. His research program has been supported by 21 funded projects from higher education institutions and public organizations, including significant work on Anatolian buffalo genetics, DNA banking, and lactation parameter analysis. He has also held important administrative roles including Head of Department (since 2024) and Faculty Board Member (since 2018). Dr. ŞAHİN maintains active collaborations with researchers across Turkish institutions, particularly with colleagues at Ondokuz Mayıs University and other agricultural research centers. His ongoing work continues to advance understanding of livestock genetics and breeding practices in the Turkish context.

Jaap KeijerView profile

Professor

• Energy metabolism
• Mitochondrial function
• Metabolic pathways
• +7 more

Jaap Keijer is a Full Professor and Chairholder in the Department of Human and Animal Physiology at Wageningen University & Research. His research focuses on metabolic physiology, particularly energy metabolism, mitochondrial function, and the interplay between diet, aging, and chronic metabolic diseases. He leads projects investigating nicotinamide nucleotide transhydrogenase (NNT) in energy metabolism, galactose's effects on metabolic programming, and the role of environmental factors like hypoxia in muscle physiology. He serves on the editorial board of Molecular Nutrition and Food Research and advises the German Institute of Human Nutrition. His work integrates molecular, cellular, and whole-organism approaches to understand health and disease mechanisms. Key research themes include metabolic adaptations in obesity, mitochondrial dysfunction in aging, and translational biomarker development for physical activity and metabolic health. Dr. Keijer teaches courses on molecular nutritional physiology, model organisms for lifespan research, and dissection-free human/animal physiology. His projects address clinical challenges such as sarcopenia, atrial fibrillation, and nutrient interventions for metabolic disorders. Recent studies explore dietary galactose's programming effects on intestinal metabolism and the impact of NNT deficiency on cardiac health. His lab employs advanced techniques like single-cell transcriptomics and Seahorse extracellular flux analysis to study metabolic pathways in humans and animal models. Publications emphasize mitochondrial dysfunction, metabolic biomarkers, and translational models for aging and disease. His work bridges basic research and clinical applications, aiming to improve metabolic health through dietary and lifestyle interventions. Current initiatives include developing a human gut-on-a-chip model and validating integrative biomarkers for physical activity in adolescents.

• Biostatistics
• Statistical Analysis
• Applied Statistics
• +5 more

Professor Ufuk Karadavut serves at Karabük University Faculty of Medicine, Department of Basic Medical Sciences, where he holds the position of Professor and currently serves as Vice Dean. Previously, he was Dean of the Faculty of Medicine from 2021-2022 and has held multiple leadership roles including Head of Department since 2020. With an extensive publication record of 493 works and significant contributions to both medical and agricultural statistics, his career spans multiple Turkish universities including Ahi Evran University and Bingöl University. PhD, Selçuk University, Institute of Science (2001-2005) Bachelor's Degree, Ankara University, Faculty of Agriculture, Department of Animal Science (1987-1991) Professor Karadavut's research spans biostatistics, medical informatics, and agricultural statistics, with particular expertise in statistical experimental design. His work bridges healthcare applications (medical informatics, clinical data analysis) with agricultural science (crop breeding, animal husbandry). He has developed statistical methodologies applicable across diverse fields, from analyzing palliative care outcomes to optimizing chickpea breeding programs for drought tolerance. His research demonstrates a consistent pattern of applying advanced statistical techniques to solve practical problems in both medical and agricultural contexts. Analysis of his recent publications reveals a strong focus on applying statistical methodologies to address contemporary challenges. In medical informatics, he examines healthcare quality, medical education, and pandemic impacts. In agricultural science, his work centers on crop improvement (particularly chickpeas and other legumes) and animal breeding. His statistical approaches include multivariate analysis, QTL mapping, growth modeling, and machine learning techniques, demonstrating methodological versatility across disciplinary boundaries. While specific awards aren't detailed in the available information, his h-index of 11 (UNIS) and 8 (WoS), along with 583 total citations, indicate significant scholarly impact. His research has attracted funding from major Turkish research bodies including TÜBİTAK and university-supported projects. Professor Karadavut has supervised 13 theses across multiple institutions and taught diverse courses ranging from medical bioinformatics to agricultural statistics. His research portfolio includes 31 projects, with recent work focusing on climate change adaptation in livestock, medical informatics applications, and advanced statistical methodologies for agricultural research. He has collaborated extensively with researchers across multiple Turkish institutions, demonstrating strong interdisciplinary networking capabilities.

Gabriel DallagoView profile

Assistant Professor

• Animal Welfare
• Machine Learning Applications
• Livestock Production Systems
• +3 more

Gabriel Dallago serves as Assistant Professor in the Department of Animal Science within the Faculty of Agricultural and Food Sciences at the University of Manitoba. His research integrates advanced data analytics with livestock production systems to enhance animal welfare and farm decision-making processes. His educational background includes: PhD from McGill University, Canada MSc from Federal University of the Vales of Jequitinhonha and Mucuri, Brazil BSc from Federal University of the Vales of Jequitinhonha and Mucuri, Brazil Dallago's research program centers on machine learning and deep learning applications for livestock management. Key initiatives include developing predictive models for animal bio-responses, integrating multimodal data streams to analyze complex farm systems, and optimizing dairy cow longevity through data-driven interventions. His work bridges computational science with practical agricultural challenges, focusing on tangible improvements in production efficiency and animal well-being. Precision monitoring of dairy cow behavior and welfare Early-life management impacts on herd productivity Computer vision applications for livestock assessment Economic modeling of livestock production systems Analysis of his 15 most recent publications (2022-2025) reveals strong thematic concentration in dairy science (47%), swine production (20%), and animal nutrition (20%), with consistent application of computational methods. Notable trends include increasing use of machine learning for welfare assessment (evident in 60% of recent works), growing emphasis on economic sustainability metrics, and innovative sensor integration for real-time livestock monitoring. Dallago teaches ANSC 7500 (Methodology in Agricultural and Food Sciences) and AGRI 4100 (Current Issues in Agricultural Systems), though specific advising relationships and grant details remain unreported in available materials. His research appears to operate through interdisciplinary collaborations leveraging computational tools and on-farm data collection systems, though dedicated laboratory descriptions are absent from current documentation.

• Animal Breeding
• Livestock Genetics
• Beef Cattle Management
• +3 more

Mark Johnson is a Professor in the Department of Animal & Food Sciences at Oklahoma State University (OSU), holding dual roles as an Extension Specialist for Livestock Evaluation and academic faculty. He has been with OSU since 1992, serving as Associate Professor from 1997 to 2020 before attaining his current rank. He earned his Ph.D. in Animal Sciences from Kansas State University in 1992. His research focuses on animal breeding, livestock genetics, and beef cattle management, with particular emphasis on genetic parameters and livestock evaluation techniques. His work integrates ultrasound imaging for measuring carcass traits in Brangus cattle and develops methodologies for livestock scoring systems. Teaching responsibilities include courses on animal breeding, beef seedstock management, and peer-led learning strategies in animal science. Dr. Johnson’s publications span genetic analysis in livestock to pedagogical methods in music education, reflecting his interdisciplinary approach. He actively contributes to OSU Extension, providing expertise in livestock evaluation and agricultural outreach. His teaching portfolio includes 67 documented courses across three decades, emphasizing practical application of genetic principles and cattle enterprise management.

Angela Maria Gonella DiazaView profile

Assistant Professor

• Beef Cattle Reproduction
• In Vitro Embryo Production
• Reproductive Physiology
• +4 more

Dr. Angela Maria Gonella-Diaza is an Assistant Professor in Beef Cattle Reproduction at the University of Florida's North Florida Research and Education Center. Born in Colombia, her early exposure to agricultural production shaped her career in veterinary science and reproductive physiology. She earned her DVM from the National University of Colombia, followed by a Master's in Reproductive Physiology and a Ph.D. at the University of São Paulo, Brazil. Her postdoctoral research focused on molecular patterns of reproductive tract receptivity in beef cows. Dr. Gonella-Diaza's work emphasizes improving reproductive efficiency in Bos indicus breeds through molecular, metabolomic, and genetic approaches. Her research interests include heat stress mitigation strategies, embryo transfer optimization, and the role of metabolomics in bovine reproduction. She has developed protocols for estrus synchronization and pregnancy diagnostics, contributing to practical advancements in beef cattle management. Key themes in her work include understanding how environmental factors like temperature and dietary supplements influence reproductive outcomes and offspring health. Dr. Gonella-Diaza has published extensively on topics such as conceptus survival mechanisms, maternal-offspring metabolic interactions, and the application of microRNA profiling to predict placental phenotypes. Her research bridges fundamental biology with applied agricultural solutions, aiming to enhance livestock productivity and sustainability in subtropical climates.

Whit StewartView profile

Associate Professor

• Sheep Production Systems
• Wool Quality and Genetics
• Mineral and Nutritional Supplementation
• +4 more

Dr. Whit Stewart is an Associate Professor and Extension Sheep Specialist at the University of Wyoming , affiliated with the Department of Animal Science . His work integrates research, teaching, and extension to enhance the sustainability, productivity, and resilience of the U.S. sheep industry. Education: B.S. in Agriculture Education, Brigham Young University - Idaho M.S. in Animal Science, Oregon State University Ph.D. in Animal Science, New Mexico State University Research Interests focus on alternative feedstuffs, mineral supplementation, range sheep crossbreeding, and the role of plant secondary compounds in sheep production systems. His teaching portfolio includes advanced sheep production, wool evaluation, and lamb feeding systems. Extension Interests emphasize adopting emerging technologies, on-farm research, and decision-making tools for producers. He also serves as faculty advisor to the UW Collegiate Wool Growers and coach of the UW Intercollegiate Wool Judging Team. Professional Experience spans roles at the University of Wyoming (2017–present), Montana State University (2015–2017), and prior positions in research and extension.