Optimization of paste formulations: The effects of using spices through a mixture design approach.

Previous studies have revealed the microbial quality of paste. However, limited reports describe the effect of individual spices on paste quality. A mixture design approach was used to determine the appropriate proportions, with 15 experimental points for independent variables including RP (60-90 %), GA (10-30 %), RO (5-20 %), and GI (5-10 %).

Optimization of spicy red pepper paste () formulation by D-optimal mixture design.

The aim of this study was to produce spicy red pepper paste () by addition of various sources of antioxidant, mineral, and fiber and optimize better processing methods of the paste. For this purpose, D-optimal mixture design was used, considering color value (a*), antioxidant content, mineral content, fiber content, chewiness, and viscosity of the paste as the main parameters. Various properties of the optimized formulation were evaluated.

Effects of storage bags type and storage duration on seed quality and proximate composition of emmer wheat () in Ethiopia.

This study was conducted to evaluate the effect of storage materials (Storage bags) and durations on seed quality and proximate composition of emmer wheat in farmer storage practices. The emmer wheat samples were stored for nine consecutive months in PICS (Purdue Improved Crop Storage) bag (PB), Grainpro® Bag (GPB), Polypropylene Bag (PPB), emmer wheat treated with Filter Cake (a byproduct of Aluminum Sulphate factory) (FC), stored in Polypropylene bag (PPBFC) and Emmer wheat treated with triplex (a by-product of soap factory) (TX) stored in Polypropylene bag (PPBTX). Data on seed quality and proximate composition were evaluated every three months' interval for 9 months.

Development and comparative analysis of ANN and SVR-based models with conventional regression models for predicting spray drift.

As monitoring of spray drift during application can be expensive, time-consuming, and labor-intensive, drift predicting models may provide a practical complement. Several mechanistic models have been developed as drift prediction tool for various types of application equipment. Nevertheless, mechanistic models are quite often intricate and complex with a large number of input parameters required.

The gut bacterial microbiome of Nile tilapia (Oreochromis niloticus) from lakes across an altitudinal gradient.

Background: Microorganisms inhabiting the gut play a significant role in supporting fundamental physiological processes of the host, which contributes to their survival in varied environments. Several studies have shown that altitude affects the composition and diversity of intestinal microbial communities in terrestrial animals. However, little is known about the impact of altitude on the gut microbiota of aquatic animals.

The Impact of Sampling Season and Catching Site (Wild and Aquaculture) on Gut Microbiota Composition and Diversity of Nile Tilapia ().

The gut microbiota of fishes is known to play an essential role in diverse aspects of host biology. The gut microbiota of fish is affected by various environmental parameters, including temperature changes, salinity and diet. Studies of effect of environment on gut microbiota enables to have a further understanding of what comprises a healthy microbiota under different environmental conditions.

Metabarcoding Analyses of Gut Microbiota of Nile Tilapia () from Lake Awassa and Lake Chamo, Ethiopia.

The Nile tilapia () gut harbors a diverse microbial community; however, their variation across gut regions, lumen and mucosa is not fully elucidated. In this study, gut microbiota of all samples across gut regions and sample types (luminal content and mucosa) were analyzed and compared from two Ethiopian lakes. Microbiota were characterized using 16S rRNA Illumina MiSeq platform sequencing.