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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Animal Genomics and Improvement Laboratory » Research » Publications at this Location » Publication #313461

Research Project: Understanding Genetic and Physiological Factors Affecting Nutrient Use Efficiency of Dairy Cattle

Location: Animal Genomics and Improvement Laboratory

Title: Cambridge journals blog: Improving feed efficiency in dairy production

item Connor, Erin

Submitted to: Popular Publication
Publication Type: Other
Publication Acceptance Date: 1/16/2015
Publication Date: 1/18/2015
Citation: Connor, E.E. 2015. Cambridge journals blog: Improving feed efficiency in dairy production. Popular Publication.

Interpretive Summary:

Technical Abstract: Because the cost of feeding animals is one of the greatest expenses in dairy production (40-60% of production costs), research focused on ways to identify and select for animals that are the most efficient at converting feed into milk has greatly expanded during the last decade. The animal Article of the Month is a review of current methodologies, advances, and future challenges for improving feed efficiency in growing dairy heifers and lactating cows. The article focuses primarily on the use of residual feed intake, or RFI, as an estimate of net feed efficiency, and describes the benefits of selecting for its improvement. Benefits include lower feed costs and reduced manure production and greenhouse gas emissions, which should increase producer profitability and enhance sustainability of dairy production, respectively. The article points out, however, that despite the utility in knowing the net efficiency of dairy herds to support selection decisions, assessment of RFI or other efficiency measures among commercial herds is rarely performed due to the expense and difficulty of measuring feed intake of individual cows that is required to estimate their feed conversion efficiency. Thus, recent research findings on possible alternative approaches to improving feed efficiency are discussed. These include selection for correlated traits that are more readily available than measures dependent on feed intake; the use of biological or genetic markers of superior feed efficiency as the basis of selection; and the development of appropriate reference populations for application of genomic selection in place of traditional animal breeding schemes. Finally, the article summarizes current knowledge of the biological mechanisms contributing to variation in RFI among dairy cattle, which will help to predict the impacts of selection for greater feed efficiency on other production traits. Topics of discussion include differences in rumen microbial populations, feeding behavior and physical activity, and variation in gene copy numbers between dairy cattle divergent for RFI. Ultimately, the review indicates that the potential benefits for improving feed efficiency are substantial but considerable research still is needed to develop more rapid and cost-effective means to identify and select for superior feed efficiency among dairy cattle without negative consequences on animal health and productivity. Future genomic selection for greater feed efficiency may be possible if the accuracy of genomic breeding values for efficiency measures such as RFI can be increased, and will require multinational collaboration to establish large reference populations to derive genomic breeding values.