Sustainable livestock production requires a fundamental transition from reactive feeding practices to lifecycle-based nutritional optimization strategies that integrate early-life biological programming with precision nutrition technologies. This review synthesizes evidence linking neonatal immune development, microbiome stabilization, and precision feeding systems within a unified sustainability framework. Neonatal life represents a critical developmental window during which immune competence, gut morphology, microbial colonization, and metabolic regulation are established. Adequate colostrum management, maternal nutrition during gestation, and early-life microbiome modulation enhance immune resilience, nutrient absorption efficiency, and long-term growth performance. Concurrently, Precision Livestock Farming (PLF) technologies including sensor-based monitoring, artificial intelligence-driven ration formulation, and real-time dietary adjustments enable dynamic alignment of nutrient supply with physiological demand, reducing feed wastage and improving nitrogen retention efficiency. Life Cycle Assessment (LCA) studies consistently identify feed production and manure management as primary environmental hotspots in livestock systems; precision feeding strategies that reduce dietary crude protein levels can significantly lower nitrogen excretion, ammonia emissions, and greenhouse gas intensity. When neonatal immunonutrition and precision feeding are integrated, synergistic improvements emerge in animal welfare, feed conversion efficiency, nutrient utilization, environmental sustainability, and farm profitability. This holistic model positions early-life immune programming as the biological foundation upon which precision feeding technologies can operate effectively. The convergence of immunology, microbiology, genomics, artificial intelligence, and environmental assessment represents the next frontier in resilient, resource-efficient livestock production systems capable of meeting global protein demands while minimizing ecological externalities.
Adama et al. (Tue,) studied this question.