Thermal Micro-Environment during Poultry Transportation in South Central United States

Machine Learning Model for Assuring Bird Welfare during Transportation

Bird welfare and comfort is highly impacted by extreme environments, including hot/cold temperatures, relative humidity, and heat production within the coops during loading at the farm, transportation, and holding at the processing plants. Due to the complexity of the multiphysics phenomena involving fluid flow, heat transfer, and multispecies mixtures (humidity) within the coops, machine learning models may be helpful to evaluate broiler welfare under various environments. Machine learning techniques (Artificial Neural Networks and Bayesian Optimization) were applied to estimate the desired parameters required to ensure broiler welfare inside the coops. Artificial Neural Networks (ANNs) were trained with the results of Computational Fluid Dynamics (CFD) simulations for various ranges of inputs related to the microenvironment. Input variables included air velocity, broiler heat production, ambient temperature, and relative humidity. The Output variable was the Enthalpy Comfort Index (ECI), which is a measure of the bird welfare. The trained networks were then analyzed using Bayesian Optimization (BO) for the inverse mapping of ANNs and to predict the range of acceptable input parameters for a desired output, i.e., ECI in the comfort level. Results indicate that reducing the broilers heat production inside the coop along with increasing fan velocity enhances the broiler welfare and the thermal microenvironment. The BO developed in this study provide the microenvironmental parameters to estimate the bird welfare that is comfortable.

Comparison of the Automatic and Manual Broiler Pre-Slaughter Chain Based on Trailer Microclimate during Transportation and Its Effect on m. pectoralis major

Simple Summary

Improper pre-slaughter catching, loading/unloading, handling, and transport may cause negative effects on the welfare and meat quality of poultry. During the catch process, noisy, rough, or aggressive techniques can cause birds to panic, which can lead to injuries and lower meat quality. Fractures, joint dislocations, and bruises can be common and cause bird suffering, mortality, carcass degradation, and economic loss. Proper pre-slaughter processes can ensure the safety of poultry and workers. One way to prevent these problems is to use automatic catching machines (harvesters/chicken cat), handling machines (shuttles), and air-conditioned trucks (trailers) to collect and handle poultry. Microclimate in trailers is another important factor influencing welfare. Internal overheating may cause high mortality of the animals during transport and reduced meat quality. The use of modern air-conditioned trailers results in improved welfare conditions, reduced mortality and the incidence of injuries and fractures, and increased meat quality.

Abstract

This study aims to compare two broiler pre-slaughter chain methods: (i) the automatic pre-slaughter chain (APC) and (ii) manual pre-slaughter chain (MPC). The comparison is based on the evaluation of the trailer microclimate, number of injuries, and breast muscle (m. pectoralis major) quality. Transportation lasts 3.5 h, unloading 1 h. The selection of two hundred 39-day-old broilers (Ross 308 and Cobb 500 breeds) is random for each type of method. After slaughter, the pH value, electrical conductivity (EC), and color (lightness) of breast muscle tissues are determined at different post-mortem intervals. The MPC negatively affects the microclimate (p < 0.001), meat qualitative characteristics (p < 0.001), and places a greater strain on the body of chickens compared with APC. The average pH_15min value of MPC broiler breast muscle tissue, generally used as the main meat quality parameter, is 5.97 ± 0.12, in contrast to 6.36 ± 0.16 for APC. Higher pH_15min value of APC indicates better welfare and pre-slaughter handling. Values of EC and L* of breast tissues also confirms a difference between the methods of broiler handling (p < 0.001). No difference is found between the breed lines (p > 0.05).

Influence of Long-Distance Transportation Under Various Crating Densities on Broiler Meat Quality During Hot and Humid Weather

The objective of the study was to investigate the effect of transportation distance and crating density on broiler meat quality during hot and humid weather. Breast meat samples were collected from broilers (Ross-308) after transportation for 80, 160, and 240 km at crating densities of 10, 12, and 15 birds per crate. The broilers were transported in plastic crates of 0.91 × 0.55 × 0.31 m (length × width × height) in summer at an ambient temperature of 27.2–33.6°C and relative humidity of 52.7–62.9%. The birds were then slaughtered, and the meats' physicochemical characteristics, marination and cooking attributes were measured. Meat pH at 2 hours (h) postmortem (PM) was significantly higher in birds transported for 80 and 160 km compared to those transported for up to 240 km, while meat pH at 24 h PM was higher in birds transported for up to 160 km compared to the other treatments; however, no effect of different crating densities on meat pH and drip loss was observed. Meat losses such as drip loss, thaw loss, cooking loss in raw and marinated breast, and meat shear force were significantly higher in birds transported for up to 240 km compared to the other treatments. An increase in crating density above 12 birds per crate also increased thaw loss, whereas crating density of 12 birds per crate and higher increased cooking loss and meat shear force. Meat lightness also increased significantly with the increase in transportation distance above 160 km and crating density above 12 birds per crate. In conclusion, transportation of broilers for more than 80 km with crating density higher than 12 birds per crate during summer was associated with severe losses in yield and deterioration in physical appearance and functional characteristics of meat.