Publications by authors named "A A Oladeinde"
Article Synopsis
- - The study aimed to investigate the effects of replacing soybean meal (SBM) with canola meal (CM) or corn-distillers' dried grains with solubles (cDDGS) in reduced-protein diets on infected broiler chicks, using a sample of 1,120 birds divided into various diet and infection groups.
- - Results indicated that while the diet had little effect on uninfected birds, the RP-SBM diet led to higher weight gain in infected birds and significant immune responses, such as increased bile anti-IgA and splenocyte proliferation.
- - The findings suggest that partial replacement of SBM with CM or cDDGS offers minimal benefits, with only the RP-SBM diet showing notable positive outcomes
Chicken ceca are a rich source of bacteria, including zoonotic pathogens such as Salmonella enterica. The microbiota includes strains/species carrying antimicrobial resistance genes and horizontal transfer of resistance determinants between species may increase the risk to public health and farming systems. Possible sources of these antimicrobial resistance donors - the eggshell carrying bacteria from the hen vertically transmitted to the offspring, or the barn environment where chicks are hatched and raised - has been little explored.
View Article and Find Full Text PDF. Heidelberg survived up to 21 days in PWS which is often used as broiler bedding. .
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- Increased consumer interest in pasture-raised, antibiotic-free poultry has led to more pastured poultry operations in the U.S., raising concerns about Campylobacter exposure.
- A study sampled 40 pastured poultry flocks across nine farms, revealing a Campylobacter prevalence of 47.91%, with the highest load in the caeca and the lowest in whole carcass rinses.
- Campylobacter jejuni and Campylobacter coli were the most common isolates found, with significant antibiotic resistance, particularly to tetracycline, but low rates of multidrug resistance were observed.
Networks are widely used to represent relationships between objects, including microorganisms within ecosystems, based on high-throughput sequencing data. However, challenges arise with appropriate statistical algorithms, handling of rare taxa, excess zeros in compositional data, and interpretation. This work introduces a novel Slope-Matrix-Graph (SMG) algorithm to identify microbiome correlations primarily based on slope-based distance calculations.
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