Different energy sources are often used in horse diets to enhance health and performance. Understanding how diet impacts the cecal and fecal microbiota is crucial for meeting the nutritional needs of horses. High-throughput sequencing and qPCR were used to compare the fecal and cecal microbiota of five healthy horses receiving three different diets: hay diet (HAY), hay + starch and sugar (SS), and hay + fiber and oil ingredients (FO). Assessment of short-chain fatty acids, pH, and buffer capacity was also performed. The HAY diet was associated with the highest values of fecal pH; the FO and SS diets were associated with higher values of BC6 in the cecum, and the SS diet had higher BC5 values in feces ( < 0.05). HAY was associated with a lower alpha diversity in feces and with a higher abundance of Treponema, Fibrobacter, Lachnospiraceae AC2044, and Prevotellaceae UCG-003 in feces. SS was associated with a higher abundance of Desulfovibrio, the Lachnospiraceae AC2044 group, and Streptococcus in the cecum, and Streptococcus and Prevotellaceae UCG-001 in feces, while FO was associated with higher Prevotella, Prevotellaceae UCG-003, and Akkermansia in the cecum, and the Rikenellaceae RC9 gut group and Ruminococcus in feces. This study indicated that different energy sources can influence cecal and fecal microbiota composition and fecal diversity without significantly affecting fermentation processes under experimental conditions. These findings suggest that the diets studied may not pose immediate health risks; however, further research is needed to generalize these effects on gastrointestinal microbiota in broader equine populations.

Download full-text PDF

Source
http://dx.doi.org/10.3390/ani14233494DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11639918PMC

Publication Analysis

Top Keywords

energy sources
12
cecal fecal
12
fecal microbiota
12
associated higher
12
microbiota healthy
8
healthy horses
8
hay diet
8
higher abundance
8
lachnospiraceae ac2044
8
prevotellaceae ucg-003
8

Similar Publications

Since agriculture is a major source of greenhouse gas emissions, accurately calculating these emissions is essential for simultaneously addressing climate change and food security challenges. This paper explores the critical role of trade in transferring agricultural greenhouse gas (AGHG) emissions throughout global agricultural supply chains. We develop a detailed AGHG emission inventory with comprehensive coverage across a wide range of countries and emission sources at first.

View Article and Find Full Text PDF

Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance.

Sci Rep

December 2024

Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, 03680, Ukraine.

Microgrids (MGs) have gained significant attention over the past two decades due to their advantages in service reliability, easy integration of renewable energy sources, high efficiency, and enhanced power quality. In India, low-voltage side customers face significant challenges in terms of power supply continuity and voltage regulation. This paper presents a novel approach for optimal power scheduling in a microgrid, aiming to provide uninterrupted power supply with improved voltage regulation (VR).

View Article and Find Full Text PDF

Short time solar power forecasting using P-ELM approach.

Sci Rep

December 2024

School of Electrical and Information, Hunan University, Changsha, 410083, China.

Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. This paper proposes an accurate short-term solar power forecasting method using a hybrid machine learning algorithm, with the system trained using the pre-trained extreme learning machine (P-ELM) algorithm. The proposed method utilizes temperature, irradiance, and solar power output at instant i as input parameters, while the output parameters are temperature, irradiance, and solar power output at instant i+1, enabling next-day solar power output forecasting.

View Article and Find Full Text PDF

The G20 countries are responsible for around 75% of the world's greenhouse gas (GHG) emissions, including the use of natural resources. In this regard, the role of globalization in achieving environmental sustainability is a relatively new topic of concern. As a result, the present study considers how globalization and natural resources affect GHG emissions, as well as the roles that renewable energy consumption and urbanization play in the G20 countries between 1990 and 2020.

View Article and Find Full Text PDF

A robust MPPT framework based on GWO-ANFIS controller for grid-tied EV charging stations.

Sci Rep

December 2024

Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.

As electric vehicles gain popularity, there has been a lot of interest in supporting their continued development with the aim of enhancing their dependability, environmental advantages, and charging efficiency. The scheduling of navigation and charging for electric vehicles is among the most well-known research topics. For optimal navigation and charging scheduling, the coupled network state between the transportation and power networks must be met; moreover, the scheduling outcomes might significantly impact these networks.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!