RUMINANT NUTRITION SYMPOSIUM: A systems approach to integrating genetics, nutrition, and metabolic efficiency in dairy cattle

• Published in: Journal of animal science Vol. 90; no. 6; pp. 1846 - 1854
• Main Author: McNamara, J. P
• Format: Journal Article
• Language: English
• Published: United States American Society of Animal Science 01-06-2012
• Subjects: Adipose Tissue - physiology; Animal Husbandry; Animal Nutritional Physiological Phenomena; Animals; Biomarkers; Cattle - genetics; Cattle - physiology; dairy cows; Dairying; energy; Energy Metabolism - physiology; experimental design; farms; Female; genetic improvement; humans; Lactation - physiology; managers; milk; nutrients; reproductive efficiency; ruminant nutrition; Systems Biology - methods
• ISSN: 0021-8812; 1525-3163
• DOI: 10.2527/jas.2011-4609

The role of the dairy cow is to help provide high-quality protein and other nutrients for humans. We must select and manage cows with the goal of reaching the greatest possible efficiency for any given environment. We have increased efficiency tremendously over the years, yet the variation in productive and reproductive efficiency among animals is still quite large. In part this is because of a lack of full integration of genetic, nutritional, and reproductive biology into management decisions. However, integration across these disciplines is increasing as biological research findings show more specific control points at which genetics, nutrition, and reproduction interact. An ordered systems biology approach that focuses on why and how cells regulate energy and N use and on how and why organs interact by endocrine and neurocrine mechanisms will speed improvements in efficiency. More sophisticated dairy managers will demand better information to improve the efficiency of their animals. Using genetic improvement and proper animal management to improve milk productive and reproductive efficiency requires a deeper understanding of metabolic processes during the transition period. Using existing metabolic models, we can design experiments specifically to integrate new data from transcriptional arrays into models that describe nutrient use in farm animals. A systems modeling approach can help focus our research to make faster and large advances in efficiency and show directly how this can be applied on the farms.