Commercial poultry feed required for proper growth of birds and egg production contains essential nutrients with maize as key component. Inadequately dried maize is prone to aflatoxin contamination and therefore when used in feed formulation for poultry may compromise the safety of the feeds and poultry products. This study investigated the levels of aflatoxins in feed ingredients, feed and poultry products sampled from Eastern and Greater -Accra regions of Ghana. The aflatoxin levels of B B G and G were determined using a High-Performance Liquid Chromatography (HPLC) methodology. Main feed ingredients used were fishmeal, cotton seed cake, soya meal, rice, wheat and maize bran as well as maize grains. There was correlation between the level of aflatoxins and moisture content in poultry feed ingredients. All the poultry feeds (100 %) analysed showed the presence of aflatoxins with total aflatoxins recorded ranging from 5.32 to 29.88 μg/kg. Maize samples of the poultry feeds, from all two regions, revealed maize to be a major contributor to the overall total aflatoxin contents found in the feed. Five (5) out of ten (10) communities investigated in the two (2) regions where the poultry feeds were examined recorded total aflatoxin levels in maize above the Ghana Standard Authority (GSA) specification of 20 μg/kg. Aflatoxins G and G were not detected in all samples of chicken meat and eggs. Total aflatoxin levels recorded for all chicken meat and eggs were below GSA specification of 5 μg/kg; implying that these products were safe for consumption.
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http://dx.doi.org/10.1016/j.heliyon.2023.e22567 | DOI Listing |
Drug Des Devel Ther
January 2025
Department of Cardiology, The Seventh Affiliated Hospital of Southern Medical University, Southern Medical University, Foshan, 528244, People's Republic of China.
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College of Animal Science and Technology, Ningxia University, Yinchuan, China.
Introduction: Postpartum dairy cows are susceptible to negative energy balance caused by decreased feed intake and the initiation of lactation. Sijunzi San, a famous Chinese traditional herbal formulation, can promote gastrointestinal digestion and absorption and improve disorders of intestinal microbiota. Therefore, we hypothesized that Sijunzi San might alleviate negative energy balance in postpartum dairy cows by modulating the structure of the rumen microbiota and enhancing its fermentation capacity.
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December 2024
Environmental Sciences, Faculty of Environmental and Conservation Sciences, North Dakota State University, Fargo, ND 58102, USA.
A rise in population and societal changes have increased pressure on resources required to meet the growing demand for food and changing dietary preferences. The increasing demand for animal protein is concerning and raises questions regarding sustainability due to its environmental impact. Subsequently, scientists seek alternative proteins, such as microbial proteins (MPs), as an environmentally friendly choice.
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December 2024
State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
This study was conducted to develop equations to predict the digestible (DE) and metabolizable energy (ME) for growing pigs by using the chemical compositions of five corn, two wheat and six rice samples. A total of 13 castrated boars were chosen and fed 13 diets formulated with different cereal feed ingredients according to a 13 × 6 Youden square design. The DE and ME contents, the ratio of ME to DE, and the nutrient digestibility among the 13 cereal feed ingredients were different ( < 0.
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December 2024
Key Laboratory of Feed Biotechnology, Ministry of Agriculture and Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Beijing 100081, China.
Zearalenone (ZEN) has been detected in both pet food ingredients and final products, causing acute toxicity and chronic health problems in pets. Therefore, the early detection of mycotoxin contamination in pet food is crucial for ensuring the safety and well-being of animals. This study aims to develop a rapid and cost-effective method using an electronic nose (E-nose) and machine learning algorithms to predict whether ZEN levels in pet food exceed the regulatory limits (250 µg/kg), as set by Chinese pet food legislation.
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