Recipient Organization
UNIVERSITY OF NEBRASKA
(N/A)
LINCOLN,NE 68583
Performing Department
(N/A)
Non Technical Summary
The emergence of climate change threatens the sustainability of animal agriculture and creates a critical need to identify livestock at the highest risk for heat stress susceptibility. However, no such advancements have been made, and producers cannot proactively manage these high-risk animals during critical times of production. Studies in zoo wildlife indicate that predictive indexes, often referred to as allostatic load indexes, determined from a panel of biomarkers can effectively predict poor outcomes of subsequent stress. The proposed project is designed to determine optimal allostatic load indexes for feedlot sheep and cattle to better understand individual differences in heat stress resiliency. It will test the hypothesis that these indexes will predict poor health and performance in animals experiencing heat stress. To test this hypothesis, this study will aim to correlate candidate index biomarkers with performance outcomes in finishing lambs prior to and throughout chronic heat stress and in finishing beef steers in a midwest feedlot prior to, during, and after sudden changes in environmental conditions. Successful completion of this project will provide a much-needed step toward strategies that improve on-farm decision-making during heat stress events to allocate available resources more appropriately.
Animal Health Component
50%
Research Effort Categories
Basic
50%
Applied
50%
Developmental
(N/A)
Goals / Objectives
Heat stress in finishing livestock continues to emerge as a significant and persistent barrier to sustainable food animal production. Thus, producers and feedlots are continually challenged to implement large-scale infrastructure changes and treatment strategies to reduce the impact of heat stress. While these management strategies can help mitigate the effects of heat stress, they can be costly to implement and maintain. Therefore, producers and feedlots would benefit from management strategies that identify high-risk individuals who are more susceptible to heat stress to allocate these costly resources more appropriately. With this in mind, this study's overall goal/objective is to evaluate the effectiveness of a predictive index (allostatic load index) in pre-determining individual differences in heat stress resiliency. Previous research has indicated that such indexes are effective in overcoming the natural variability of individual biomarkers often used to measure stress in livestock (e.g., cortisol) as a more comprehensive assessment of dynamic somatic system responses. To this end, our objectives are to: 1) determine allostatic load indexes that effectively identify finishing lambs at high risk for poor performance during chronic heat stress and 2) determine allostatic load indexes that effectively identify finishing steers with an increased susceptibility for heat stress when exposed to sudden changes in environmental conditions.
Project Methods
Objective 1.) Determining allostatic load indices that effectively identify finishing lambs at high risk for poor performance and health during chronic heat stress. This study will compare blood sample analysis and performance/health in 36 thermoneutral controls and 36 chronic heat-stressed wether lambs.1. Animals and Blood Samples: This study will utilize blood/plasma samples, health data, and performance data banked from 3 separate but similar studies from 2019 to 2023. For all studies, lambs were individually housed and randomly assigned to thermoneutral or heat stress (40°C, THI=86 for 12 h/d; 35°C, THI=82 for 12 h/d) conditions for 30 days. Control lambs were pair-fed to the average of the heat-stressed group. Whole blood analysis was performed, and plasma was isolated from blood samples collected via jugular venipuncture on d 0, 7, 14, and 21 of the treatment period. Banked data includes the following: Whole blood analysis, including blood glucose, lactate, blood gasses, pH, blood acid/base balance, total differential white blood cell counts, and hematology values. Data to be collected from banked plasma samples: blood metabolites related to glucose and lipid metabolism, stress biomarkers including epinephrine, cortisol, and ACTH, and immune factors including haptoglobin, heat shock protein 70, immunoglobin G, and circulating cytokine biomarkers.2. Animal Performance and Health Data: Growth metrics and health data were collected under basal conditions on d 0, throughout the treatment period, and at the end on d 30. Data collected includes bodyweight, rectal temperature, respiratory rates, intake, average daily gain, ultrasound and BIA-estimated body composition, heart rate, and blood pressure. Performance of each heat-stressed lamb will be determined by the difference in its value for these metrics from the average of thermoneutral controls.3. Allostatic Load Index Scoring: Initial allostatic load index scores will be calculated from banked whole blood analysis, planned plasma analysis, and banked performance and health data collected at d 0 of the treatment period. Each calculated version of allostatic load index will then be compared via correlation analyses to growth and health performance. Likewise, allostatic load index will be compared to stress biomarkers measured throughout the heat-stress period.Objective 2.) Determine allostatic load indexes that identify feedlot steers at high risk for heat stress susceptibility. This study will evaluate 24 feedlot steers finished at the West Central Research & Extension Center at feedlot entry, throughout the finishing period during heat events, and at harvest.1. Blood sampling and analysis: A total of 6 draws/steer will be collected at the following timepoints: I. at feedlot entry under thermoneutral conditions, II. on each day of the 1st 48-hour heat event (THI>83 for 2 consecutive days), III. on each day of the 2nd 48-hour heat event, and IV. just prior to harvest. Whole blood analysis and plasma analysis will be preformed for the same biomarkers described in objective 1.2. Animal Performance and Health Evaluation: Bodyweight, ultrasound, and BIA-estimated body composition, hair shed scores, panting scores, and rectal temperatures will be collected at each timepoint of the finishing period described above. Growth performance will also be evaluated during heat events for metrics including feed intake, water intake, and average daily gain. Carcass metrics, including hot carcass weight, rib-eye area, marbling score, and back fat, will be collected at harvest.3. Allostatic Load Index Scoring: Biomarkers and animal performance metrics for allostatic load indexes will be measured in samples collected at feedlot entry under thermoneutral conditions. These will be correlated with growth metrics at the end of the finishing period and health indicators measured throughout and at the end finishing.