Using 13C in cattle hair to trace back the maize level in the feeding regime-A field test

PLoS One. 2017 Nov 28;12(11):e0188926. doi: 10.1371/journal.pone.0188926. eCollection 2017.

Abstract

Sections from cattle hair serve as an isotopic archive-they contain information on the cattle diet from different time periods. We tested the reliability of 13C signatures (δ13C) in cattle tail switch hair to retrospectively trace back the annual dietary proportion of maize of different production systems without having to sample and analyze the feed. Furthermore, we investigated if differences in dietary proportion of maize during summer and winter feeding can be detected in a single tail switch hair by sampling hair only once a year. We sampled hair and obtained information on management and annual composition of diets on 23 cattle farms in northern Germany. Farms differed in dietary proportions of maize, grass and concentrates as well as in grazing regime (year-round grazing, summer grazing, no grazing). We found that the annual mean δ13C values (δ13CY) of two hair sections that contain the isotopic information of summer and winter feeding is a robust indicator for the annual proportion of maize in cattle diet on a farm. The grazing regimes could clearly be distinguished by analyzing seasonal mean δ13C values (δ13CS). We could also demonstrate short term changes in the diet changes by means of δ13CS. We conclude that the method can be used in different cattle production systems to check on dietary proportions of maize for a period of one year before sampling of hair.

MeSH terms

  • Animal Feed*
  • Animals
  • Carbon Isotopes
  • Cattle
  • Hair / chemistry*
  • Zea mays*

Substances

  • Carbon Isotopes

Grants and funding

This project (Nachhaltiges Landmanagement im Norddeutschen Tiefland, FKZ 033L029) was supported by the German Federal Ministry of Education and Research (BMBF) https://www.bmbf.de. Centre Stable Isotopes (KOSI, University of Goettingen) for analysis of the isotope samples. Furthermore we acknowledge support by the German Research Foundation and the Open Access Publication Funds of the Göttingen University.