Farm Management Practices and Diversity of the Dominant Bacterial Species in Raw Goat's Milk

2010 ◽  
Vol 6 (1) ◽  
pp. 29-43 ◽  
Author(s):  
H. Tormo ◽  
A. Delacroix- ◽  
C. Lopez ◽  
D. Ali Haimoud Lekhal ◽  
C. Roques
2019 ◽  
Vol 43 (1) ◽  
pp. 50-58
Author(s):  
H. S. Alnaemi

     Fate of AflatoxinM1 in soft white cheese and its by-product (whey) and in yogurt locally made from raw sheep's and goat's milk experimentally inoculated with 0.05 and 0.5 µg/l AflatoxinM1 were investigated using ELISA technique. Results reported that AflatoxinM1 was concentrated in cheese at levels significantly higher than that recorded in the raw milk that used for its processing, with a significant decrease in AflatoxinM1 levels in its by-product (whey) comparable to the raw milk used in manufacturing at both inoculated levels. Yogurt produced from raw sheep's milk at second inoculated level exerted AflatoxinM1concentration significantly lower than that present in the milk. Significant differences in AflatoxinM1distribution in cheese and whey produced from sheep's milk comparable to their counterparts produced from goat's milk were recorded. Finally, results revealed the efficacious role of the various dairy manufacturing processes in AflatoxinM1 distribution and the necessity to issue of local legislations concerning the maximum permissible limits for AflatoxinM1 in milk in order to stay within the universal permissible levels for AflatoxinM1 in dairy products to provide greater protection for consumer health. 


2021 ◽  
pp. 108201322110037
Author(s):  
Ercan Sarica ◽  
Hayri Coşkun

This study was aimed to determine the changes in kefir samples (CK and GK) made from cow’s and goat’s milk during frozen storage. The CK and GK samples were first stored at +4 °C for 14 and 21 days. Thereafter, all the samples were frozen at –35 °C for 24 h and kept at –18 °C for 45 days. There was no significant change in the fat, protein, acidity and pH values in both samples during the storage. The values of viscosity, WI and C* were higher in the CK samples while the syneresis value was higher in the GK samples throughout the frozen storage. The microorganisms ( Lactococcus spp., Lactobacillus spp., Leuconostoc spp., total mesophilic aerobic bacteria and yeasts) found in kefir made from goat's milk were more affected from the frozen storage. In both samples, the changes in organic acids and volatile flavor components were not significant during frozen storage, except acetic, citric and oxalic acids and acetaldehyde in GK sample. In addition, CK samples were preferred sensorially more by the panellists during frozen storage.


Pathogens ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 545
Author(s):  
Paramanandham Krishnamoorthy ◽  
Kuralayanapalya P. Suresh ◽  
Kavitha S. Jayamma ◽  
Bibek R. Shome ◽  
Sharanagouda S. Patil ◽  
...  

In this study, the major mastitis pathogen prevalence in the cattle and buffalo of the world was estimated by a meta-analysis. Staphylococcus (S) species, Streptococcus (St) species, and Escherichia coli (Ec) prevalence studies reported during 1979–2019 were collected using online databases, and offline resources. A meta-analysis of these data was done with the meta package in R-Software. The Staphylococcus aureus was the major mastitis pathogen, mostly causing subclinical mastitis, Ec causing clinical mastitis and St causing subclinical and clinical mastitis. The pooled prevalence estimates of S, St, and Ec were 28%, 12%, and 11% in the world from 156, 129, and 92 studies, respectively. The S, St, and Ec prevalences were high in Latin America (51%), Oceania (25%), and Oceania (28%), respectively. Higher S, St, and Ec prevalences were observed by molecular methods, signifying high sensitivity and usefulness for future studies. Among bacterial species, S. aureus (25%) followed by coagulase-negative Staphylococcus species (20%), Escherichia coli (11%), St. agalactiae (9%), St. uberis (9%) were the important pathogens present in the milk of the world. We hypothesize that there is a urgent need to reduce mastitis pathogen prevalence by ensuring scientific farm management practices, proper feeding, therapeutic interventions to augment profits in dairying, and improving animal and human health.


Molecules ◽  
2020 ◽  
Vol 25 (11) ◽  
pp. 2625
Author(s):  
Muzammeer Mansor ◽  
Jameel R. Al-Obaidi ◽  
Nurain Nadiah Jaafar ◽  
Intan Hakimah Ismail ◽  
Atiqah Farah Zakaria ◽  
...  

Two-dimensional electrophoretic (2DE)-based proteomics remains a powerful tool for allergenomic analysis of goat’s milk but requires effective extraction of proteins to accurately profile the overall causative allergens. However, there are several current issues with goat’s milk allergenomic analysis, and among these are the absence of established standardized extraction method for goat’s milk proteomes and the complexity of goat’s milk matrix that may hamper the efficacy of protein extraction. This study aimed to evaluate the efficacies of three different protein extraction methods, qualitatively and quantitatively, for the 2DE-proteomics, using milk from two commercial dairy goats in Malaysia, Saanen, and Jamnapari. Goat’s milk samples from both breeds were extracted by using three different methods: a milk dilution in urea/thiourea based buffer (Method A), a triphasic separation protocol in methanol/chloroform solution (Method B), and a dilution in sulfite-based buffer (Method C). The efficacies of the extraction methods were assessed further by performing the protein concentration assay and 1D and 2D SDS-PAGE profiling, as well as identifying proteins by MALDI-TOF/TOF MS/MS. The results showed that method A recovered the highest amount of proteins (72.68% for Saanen and 71.25% for Jamnapari) and produced the highest number of protein spots (199 ± 16.1 and 267 ± 10.6 total spots for Saanen and Jamnapari, respectively) with superior gel resolution and minimal streaking. Six milk protein spots from both breeds were identified based on the positive peptide mass fingerprinting matches with ruminant milk proteins from public databases, using the Mascot software. These results attest to the fitness of the optimized protein extraction protocol, method A, for 2DE proteomic and future allergenomic analysis of the goat’s milk.


2013 ◽  
Vol 64 (3) ◽  
pp. 304-310 ◽  
Author(s):  
P. Hueso ◽  
L. Zancada ◽  
F. Pérez-Díez ◽  
F. Sánchez-Juanes ◽  
J. M. Alonso ◽  
...  

2017 ◽  
Vol 90 ◽  
pp. 43-52 ◽  
Author(s):  
Libère Nkurunziza ◽  
Iman Raj Chongtham ◽  
Christine A. Watson ◽  
Håkan Marstorp ◽  
Ingrid Öborn ◽  
...  

2004 ◽  
Vol 31 (6) ◽  
pp. 597 ◽  
Author(s):  
Peter R. Brown ◽  
Micah J. Davies ◽  
Grant R. Singleton ◽  
J. David Croft

The impacts of a range of farm-management practices on house mouse (Mus domesticus) populations were tested in a large replicated field study in a complex irrigated farming system in southern New South Wales, Australia. An advisory panel, made up of farmers, extension officers, industry representatives and scientists developed a series of best-practice farm-management actions to minimise the impact of mice. Twelve experimental sites were split into six treated sites, where farmers were encouraged to conduct the recommended practices, and six untreated sites, where farmers conducted their normal farming practices. Mouse abundance was generally low to moderate for the 4-year project (5–60% adjusted trap success). We found significant reductions in population abundance of mice on treated sites when densities were moderate, but no differences when densities were low. Biomass of weeds and grasses around the perimeter of crops were significantly lower on treated sites because of applications of herbicide sprays and grazing by sheep. We could not detect any significant difference in mouse damage to crops between treated and untreated sites; however, levels of damage were low (<5%). Yields of winter cereals and rice crops were significantly higher on treated sites by up to 40%. An analysis of benefits and costs of conducting farming practices on treated sites compared with untreated sites showed a 2 : 1 benefit to cost ratio for winter cereals, 9 : 1 for rice and 4 : 1 for soybeans.


2020 ◽  
pp. 44-49
Author(s):  
Natalia Borisovna Gavrilova ◽  
Natalia Feonidovna Chernopolskaya ◽  
Elena Michailovna Shchetinina

Sign in / Sign up

Export Citation Format

Share Document