Journal
ANIMAL FEED SCIENCE AND TECHNOLOGY
Volume 277, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.anifeedsci.2021.114961
Keywords
Nitrogen; Beef cattle; Protein; Urine; Nitrogen partitioning; Redundancy analysis
Categories
Funding
- University of Reading
- UK Biotechnology and Biological Sciences Research Council [BBS/E/C/000I0320]
Ask authors/readers for more resources
This study aimed to assess the impact of various individual feedstuffs and feedstuff types/groups on NUE and N partitioning in beef cattle, providing insights for the development of financially and environmentally sustainable feeding protocols.
Diet composition and intake are the main determinants of nitrogen (N) use efficiency (NUE) in beef cattle. Accounting for the interactions and comparative effects of different feedstuff types on NUE and N losses in urine and faeces can inform the development of financially and environmentally sustainable feeding protocols for beef cattle. This study aimed to assess the impact of various individual feedstuffs and feedstuff types/groups on NUE and N partitioning to faeces and urine in beef cattle, for diets with contrasting crude protein (CP) concentrations. Partial multivariate redundancy analysis (pRDA) was used to associate the influence of the intakes of individual feedstuffs and feedstuff types/groups on NUE and N partitioning by using results from 59 published trials with growing and finishing beef cattle. The data were split into three sub-sets, according to diet CP concentration (low CP, 47-120 g CP/kg DM, n = 73; medium CP, 121-150 g CP/kg DM, n = 90; high CP, 151-269 g CP/kg DM, n = 74). In low CP diets, the main feedstuffs that improved NUE and shifted N outputs from urine to faeces were fresh-cut grasses and legumes, grass hay, straws, brans and pulps. In medium CP diets, the main feedstuffs that improved NUE were fresh-cut grasses, grass hay, fresh-cut legumes, and straws; while legume and
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available