fungal and micotoxin contamination in mixed feeds: evaluating risk in cattle intensive rearing operations (feedlots)

fungal and micotoxin contamination in mixed feeds: evaluating risk in cattle intensive rearing operations (feedlots)

;Cavaglieri LR;Dalcero AM;Rosa CAR;Chiacchiera SM;González Pereyra ML
impact of e-business technologies on public and private organizations: industry comparisons and perspectives 2012 Vol. 2 pp. 69-80
252
lr2012revistafungal

Abstract

Argentina is the fourth global beef producer. Exposure to mycotoxins through contaminated feed is a major hazard for ruminants. In the present study we assess mycobiota, aflatoxin B1 (AFB1), fumonisin B1 (FB1), deoxynivalenol (DON) and zearalenone (ZEA) levels in total mixed rations (TMRs) during two consecutive years. Total fungal counts were evaluated and fungal species were identified. Also, ability of A. flavus isolates to produce AFB1 in vitro was tested. Natural contamination with AFB1 and FB1 was quantified by HPLC. Deoxynivalenol and zearalenone were analysed by immunochromatography and thinlayer chromatogra- phy (TLC), respectively. Fungal counts varied from not detectable (ND) to 2.10 x 108 CFU g-1. The prevalent genera were Aspergillus spp (60 %) and Fusarium spp (66.7 %), respectively The prevalent species was Aspergillus fumigatus. 50 % of A. flavus strains produced 75 to 112.5 μg g-1 AFB1. 46 % of 2007 samples were contaminated with 4 to 10 μg kg-1 AFB1. Deoxynivalenol was detected in 33.3 % of the samples (≥ 1. 25 μg g-1). Fumonisin B1 and ZEA were not detected. This study can be useful to estimate the mycotoxicological risk of cattle TMRs in this region and to compare results with studies from other beef-producing countries.

Citation

ID: 231821
Ref Key: lr2012revistafungal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
231821
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet