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Simple Summary: In response to the challenges posed by a growing global population, the livestock industry must increase food production while ensuring environmental sustainability. This paper explores how feed producers can tackle these challenges using advanced formulation techniques. By leveraging AI decision support systems, producers can optimize feed composition to promote animal health and environmental stewardship. The study's findings offer valuable insights into improving animal feed production, supporting the livestock industry in achieving sustainability goals and contributing to global environmental conservation efforts. The unprecedented challenges presented by the increase in global population have placed substantial demands on the livestock industry for human nutrition, necessitating heightened animal productivity and leading to an increased demand for natural resources to produce animal feed. Feed producers are leading the charge, consistently refining formulations to adapt to the evolving needs of livestock, driven in part by the cost of over 50% associated with feed production. This paper critically analyses the pressing issues within feed formulation, addressing the requirement for environmentally sustainable practices amidst the challenges of climate change. The exploration extends to how advanced decision support tools can enhance formulation techniques and profitability and contribute to environmental sustainability. Through an in-depth review of current feed formulation technologies, encompassing their applications and limitations, this study aims to enhance the existing knowledge base. Additionally, we examined future trends, highlighting the essential role of connecting technologies to establish a resilient and sustainable system. The emphasis is on the potential of formulation techniques to positively impact the environment and enhance the overall quality and performance of the animals. This paper provides actionable insights to improve animal production by examining feed formulation models and decision support tools. The anticipated outcome is a more informed and sustainable decision-making process, addressing the multifaceted challenges confronted by the livestock industry and making contributions to global efforts in climate change mitigation and environmental stewardship in animal production agriculture. [ABSTRACT FROM AUTHOR]

Diaphragm test results of a full-scale post-fame building are presented. The post-frame building was tested at various stages of construction to determine the contributions of the different components of the building system as metal cladding was added. Subsequently, the effectiveness of different bracing systems (steel bracing, plywood sheathing, and stitching of panel overlap seams) was evaluated for supplemental reinforcement of an end wall that contains an opening equal to 25% or 50% of the area of the end wall. Wind loading was simulated by applying horizontal loads at the eave. Measured eave deflections and applied loads were used to predict stiffness values of interior frames, roof diaphragm, and end walls. Strain gauges were installed on roof purlins in end, middle, and intermediate bays across the building width to determine the interaction between the roof framing system and the metal-cladding membrane. The full-scale tests provided several insights, including (a) in-plane deflection of end walls, (b) continuity between the two roof halves, (c) load sharing between frames, (d) interaction between roof purlins and metal cladding, and (e) contribution of interior purlins in resisting diaphragm forces.

Thermal stress imposed on cows adversely affects health and productivity. Various thermal indices exist in the literature that can be used to assess the level of heat stress on cattle by linking environmental conditions with physiological responses. However, many of these indices either do not incorporate all of the environmental variables or may consider only the main effects of the independent variables without considering the interaction effects. The objective of this study was to develop a thermal index for dairy cattle, referred to as Equivalent Temperature Index for Cattle (ETIC), which incorporates air temperature, relative humidity, air velocity and solar radiation and their interactions. Environmental and physiological data from two studies were pooled together to develop and validate the proposed index. The index (ETIC) expressed in terms of temperature units is derived from equivalent air temperature of relative humidity, air velocity and solar radiation. ETIC heat-stress level thresholds were defined according to the thresholds for temperature-humidity index (THI). The results indicate that the ETIC model predicts the measured physiological responses very well. The coefficient of correlation, R 2 , for skin temperature, core-body temperature, and respiration rate were 0.79, 0.40, and 0.49, respectively. The ETIC prediction of skin temperatures, core-body temperatures, and respiration rates were better compared to that of three recently developed thermal indices (adjusted THI, heat load index, and comprehensive climate index). The proposed index could be a useful tool to assess thermal environments to ensure animal comfort. [ABSTRACT FROM AUTHOR]