Emily Leishman's PhD Defence
Date and Time
Animal robustness is essential in the poultry industry because of its consequences for animal health, wellbeing, and industry profitability. Strategies to improve animal robustness can include quantifying environmental sensitivity or direct selection for ro-bustness-related traits, however, these have come with limited success. An alternative approach is to investigate the genetics of the hypothalamic-pituitary-adrenal (HPA) axis as intense selection for production traits is believed to result in a reduced HPA axis response and ability to respond to perturbations leading to physiological and behavioural problems. The glucocorticoid hormone corticosterone (CORT) is one of the main end-products of the HPA axis. Quantifying CORT in feathers (FCORT) provides an oppor-tunity for a less invasive measure that represents average circulating level of CORT over time compared to traditional methods. Robustness-related issues are prevalent on commercial turkey farms and perturbations can impact meat quality through HPA axis activity. Therefore, the objective of this thesis was to investigate novel phenotypes (e.g., FCORT) related to HPA axis activity that could act as indicators of robustness in domestic turkeys. We developed a reliable method for quantifying FCORT in turkey feath-ers and characterized feather growth patterns to provide context to these measurements. Changes in energy balance are reflect-ed in FCORT measurements which provides validation for its use as a marker of HPA axis activity. Most importantly, our findings suggest that HPA axis activity, measured via FCORT, is a heritable trait in domestic turkeys and is negatively correlated with pro-duction traits (e.g., breast yield) but positively correlated with livability traits (e.g., walking ability). Although further investigation into the relationship between FCORT and other robustness traits is required, this thesis provides exciting avenues for improving robustness, health, and wellbeing in domestic turkeys through genetic selection.