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Sanjana Anan


Position/Title: MSc. Candidate
email: sanan@uoguelph.ca
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Education

Bachelor of Science, University of Guelph (2016-2020)

  • Major in Animal Biology

Masters of Science, University of Guelph (2021-present)

  • Specializing in Companion Animal Nutrition

Background

Growing up in Bangladesh, I was fascinated to see how the general public embraced pet ownership quickly over the last decade and how people altered their lifestyles around taking care of cats and dogs. This interest influenced my decision to pursue a Bachelors of Science, majoring in Animal Biology at the University of Guelph. I was happy to be received by a welcoming community here in Guelph which pushed me to join various extra curricular programs revolving around student wellness advocacy and assisting other international students within campus. I gained an interest in research after completing two independent course projects and working with Dr. Eduardo Ribeiro's team.

Research Interest

After completing my undergraduate degree at the University of Guelph, I felt motivated to pursue research projects related to companion animals under the guidance of my advisor Dr. Anna Kate Shoveller. My current project is focused on quantifying net energy within high protein and fibre commercial diets fed to cats using indirect calorimetry. North American formulation for companion animals estimate metabolizable energy to determine energy content within diets. The issue with using these predictive equations is that they have been found to overestimate the required energy needed for maintenance, predisposing cats towards positive energy balance and increased risk of obesity. Net energy systems for feed formulation has been well established in agricultural species such as cows and pigs, and has been proposed to be included in other production animals such as chickens and rainbow trout. This provides an opportunity to investigate net energy within companion animals which has not been done so previously. Changing macronutrient levels of protein and fibre from low to high intake could give insight on how cats are able to adjust their energy expenditure and the resulting impact on net energy. Furthermore, cats being the model for carnivorous species would highlight species specific differences in energy utilization. Using data available on gaseous kinetics gained from indirect calorimetry studies, a predictive net energy model can be proposed for feline diets, which would target energy balance better and reduce chances of long term weight gain.