chicken farm
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Antibiotics ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 81
Author(s):  
Bing-Mu Hsu ◽  
Jung-Sheng Chen ◽  
Gwo-Jong Hsu ◽  
Suprokash Koner ◽  
Viji Nagarajan ◽  
...  

Methicillin-resistant Staphylococcus aureus (MRSA) is a dynamic and tenacious pathogenic bacterium which is prevalent in livestock farming environments. This study investigated the possibility of MRSA spread via bioaerosol transmission from an indoor chicken farm environment to outdoors downwind (up to 50 m). The concentration of total airborne bacteria colony formation units (CFUs) was decreased with increasing sampling distance ranging from 9.18 × 101 to 3.67 × 103 per air volume (m3). Among the 21 MRSA isolates, 15 were isolated from indoor chicken sheds and exposure square areas, whereas 6 were isolated from downwind bioaerosol samples. Molecular characterization revealed that all of them carried the staphylococcal cassette chromosome mec (SCCmec) VIII, and they were remarkably linked with the hospital-associated MRSA group. Spa typing analysis determined that all MRSA isolates belonged to spa type t002. Virulence analysis showed that 100% of total isolates possessed exfoliative toxin A (eta), whereas 38.09% and 23.80% strains carried exfoliative toxin B (etb) and enterotoxin A (entA). Additionally, all of these MRSA isolates carried multidrug resistance properties and showed their resistance against chloramphenicol, ciprofloxacin, clindamycin, tetracycline, and erythromycin. In addition, chi-squared statistical analysis displayed a significant distributional relationship of gene phenotypes between MRSA isolates from chicken farm indoor and downwind bioaerosol samples. The results of this study revealed that chicken farm indoor air might act as a hotspot of MRSA local community-level outbreak, wherein the short-distance dispersal of MRSA could be supported by bioaerosols.


2021 ◽  
Author(s):  
Chenming Hu ◽  
Han Pen ◽  
Li Yang ◽  
Xia Xiong ◽  
Xiaoyan Song ◽  
...  

2021 ◽  
Vol 4 (6) ◽  
pp. 390-396
Author(s):  
Ida Royani Simanungkalit ◽  
Bosker Sinaga

Poultry farming in Indonesia is still not successful in meeting some of the domestic needs, including being vulnerable to attacks by dangerous animal diseases. People are also restless because of dangerous diseases from chickens that can be transmitted to humans due to consuming chicken meat that has been infected with the disease. The case study in conducting research to diagnose free-range chicken disease was carried out at the Bang Ari Chicken Farm on Jalan Jamin Ginting Pamen Complex No.14 Padang Bulan, Medan Baru District, Medan City. The required criteria data is the type of disease and symptoms of the disease that attacks native chickens as well as the treatment actions that will be taken against the diseased chickens according to the disease experienced. This study aims to build a web-based expert system in diagnosing free-range chicken diseases using the certainty factor method. From the case example, the results of the calculation of certainty factor on the symptoms of free-range chickens, the disease that has the largest percentage value is P 7, namely Chronic Cough Disease of 97.50%. The system for diagnosing free-range chicken disease was built using a web-based programming language and MySQL database.


2021 ◽  
Vol 60 (2) ◽  
Author(s):  
J. J. Kalita ◽  
R. S. Arya ◽  
R. Ravindran ◽  
Y. D. Singh ◽  
T. K. Rajkhowa ◽  
...  

2021 ◽  
Vol 888 (1) ◽  
pp. 012009
Author(s):  
F Mustofa ◽  
A P Z N L Sari ◽  
A Agus ◽  
H Sasongko ◽  
E Suryanto ◽  
...  

Abstract The production of local chickens in Indonesia is determined by the availability of high-quality local chicken stocks. However, information on local chicken performance is limited, therefore, this study aims to determine the live weight performance of three local Indonesian chicken namely Merawang, Murung Panggang, and KUB in the starter phase. The study was conducted at chicken farm located in Semanu Gunung Kidul, Yogyakarta. Meanwhile, the live weight data were collected at the starter phase (0, 2, and 4 weeks. The samples consisted of 196 Merawang, 157 Murung Panggang, and 416 KUB chickens reared in a battery cage in a closed house under similar conditions. Furthermore, the live weight performance data were analyzed using analysis of variance (ANOVA). As a result, the Merawang chicken had the highest live weight (P<0.05) at the day-old chick (DOC) age. At the same age, no significant difference was detected between the KUB and Murung Panggang chicken (P>0.05). However, the live weight of Murung Panggang was significantly higher at 2 and 4 weeks compared to others (P< 0.05). Therefore, it was concluded that there are variations in the live weight of the three local chickens during the starter phase.


Author(s):  
Tengfei Zhang ◽  
Ming Jia ◽  
Yiluo Cheng ◽  
Wenting Zhang ◽  
Qin Lu ◽  
...  
Keyword(s):  

2021 ◽  
Vol 5 (3) ◽  
pp. 148-155
Author(s):  
Ni Kadek Mita Sumadi Astrini ◽  
Budi Rahayu Tanama Putri ◽  
James Hellyward

This study aims for a deep understanding of the business strategy of layer chicken farms during the new normal era in Bali. The expected output in this study focused on the establishment of strategic recommendations that apply to layer chicken farms within Bali to raise the production as well as overcome the challenges during the new normal era new normal. 134 respondents were involved, which consists of 80 consumers, 48 livestock farmers, and 6 experts. Results of IFE-EFE analysis showed that the value of an internal factor is 3.72 and external factor is 2.73 which determine that the business of layer chicken farm is in quadrant IV in matrix IE and categorized group of growth and build strategy. Seven business strategies could be recommended to the farmers in Bali during this new normal era, namely; 1) applying digital marketing; 2) implementation of laying chickens information system (abbreviated as SIAP in Bahasa Indonesia); 3) socialization and empowerment in utilizing e-commerce; 4) collaborating with livestock platforms; 5) training and mentoring for the public regarding a business opportunity in an egg-based product; 6) forming industry cluster of laying chicken farms; 7) development of livestock cooperative. 


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