Abstract: Many food processing industries utilizing bread wheat as a raw material are being established in the country. As a result, information on physico-chemical characteristics to match end use quality is very essential. In line with this, the current study was initiated with objectives to characterize physico-chemical properties in relation to bread making quality and to classify bread wheat cultivars as soft and hard wheat based on data generated. The grain of 44 Ethiopian improved bread wheat cultivars were collected from different agricultural research centers in the country and grown under rain fall condition at two locations (Ginnir and Sinana on station) during Bona (July-Jan., 2015/16 and 2016/17) growing season and analyzed for grain physical and flour chemical quality characteristics. The experiment was laid out in RCBD with three replications. Result of analysis of variance indicated that, there is significant variations in all quality parameters considered among cultivars. Grain physical characteristics, such as thousand kernel weight (TKW), percent vitreous kernel (%Vk), were showed highly significant difference (P<0.01) due to cultivars. Grain chemical quality as expressed by protein quantity (%P) and quality, percent gluten index (% Gl), Zeleny index (Zl), have also shown highly significant difference (P<0.01) due to genotypes. In addition, strong environmental variation was observed on measured quality characters. The present results indicated that there is huge genetic variation among Ethiopian wheat varieties for quality traits considered in this study.
Abstract: Many food processing industries utilizing bread wheat as a raw material are being established in the country. As a result, information on physico-chemical characteristics to match end use quality is very essential. In line with this, the current study was initiated with objectives to characterize physico-chemical properties in relation to bread mak...Show More
Abstract: Antimicrobial resistance (AMR) is rising globally and is likely to cause more deaths because of antibiotic-resistant microbial infections and antibiotic residues in animal foods and products as a result of misuse of antibiotics in dairying. Thus, we determined the presence and quantities of sulfonamide, tetracycline, and beta-lactam drug residues in milk sampled in Nyandarua, Meru, and Kiambu counties in Kenya using the Charm TRIO® test kit and liquid chromatography (LC) coupled to the triple quadrupole mass spectroscopy (MS) (LC-MS/MS). The TRIO® test kit showed dicloxacillin as the most prevalent at 9.3%, followed by penicillin and cloxacillin at 3.7% each, and nafcillin at 0.9% among the beta-lactams. Among the tetracyclines, demeclocycline and tigecycline were the most prevalent at 10.3% each, followed by oxytetracycline at 9.3%, chlortetracycline at 7.5%, and doxycycline at 3.7%, while sulfaquinoxaline was the only sulfonamide drug detected at 4%. The LC-MS/MS detected the presence of all the tested β-lactam and tetracycline antimicrobial traces and all sulfonamide drugs except sulfamerazine in all three counties. All the tetracycline antibiotics recorded between 3 and 10.5% of antibiotic residues above the recommended Maximum Residue Levels (MRLs) in milk across all three counties, with beta-lactam antibiotics recording between 2 and 33.3%, indicating their misuse in the three counties. Sulfaquinoxaline was the only sulfonamide detected in milk samples above the recommended MRLs, indicating sulfonamides are less used in those counties. Therefore, it is important to enforce a regulatory framework to control antibiotic use in livestock to minimize potential health risks related to their traces in the foods.
Abstract: Antimicrobial resistance (AMR) is rising globally and is likely to cause more deaths because of antibiotic-resistant microbial infections and antibiotic residues in animal foods and products as a result of misuse of antibiotics in dairying. Thus, we determined the presence and quantities of sulfonamide, tetracycline, and beta-lactam drug residues i...Show More