Models for the Control of Feral Water Buffalo (Bubalus Bubalis) Using Constant Levels of Offtake and Effort.

1991 ◽  
Vol 18 (1) ◽  
pp. 63 ◽  
Author(s):  
WJ Boulton ◽  
WJ Freeland

A model of population growth of feral water buffalo is presented and used as a basis for simulating buffalo control exercises. Simulations incorporated annual removal of constant numbers of buffalo, annual allocations of constant amounts of control effort, or continous application of effort until control density had been achieved. The models rely on data from helicopter-based shooting and shooting by shooters on the ground (Bayliss 1986). Approximately 60% of a starting population had to be removed per annum for control to extinction to be achieved within two years. Annual allocations of constant levels of control effort resulted in failure to reach the control target within 150 years, control in about 40 years, or control within the first two years of operation, depending on the level of effort expended. Addition of two helicopters to a team of four helicopters working for 20 days changed the result from no control to control within two years. Optimal allocation of control effort requires continuous application of control measures until the objective has been achieved. Lower levels of effort result in prolonged campaigns that may not achieve desired objectives.

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Maged El-Ashker ◽  
Mohamed Salama ◽  
Mohamed El-Boshy

The present study was carried out to describe the clinical picture of traumatic reticuloperitonitis (TRP) in water buffalo (Bubalus bubalis) and to evaluate the inflammatory and immunologic responses for this clinical condition. Twenty-two buffalo with acute local TRP were monitored in our study. Additionally, 10 clinically healthy buffalo were randomly selected and served as controls. Acute local TRP was initially diagnosed by clinical examination and confirmed by ultrasonographic (USG) examination and/or necropsy findings. Blood samples were collected from all examined buffalo to measure the respective levels of tumor necrosis factor alpha (TNF-α), interleukin (IL)-1β, IL-6, IL-10 and interferon gamma (INF)-γ, serum amyloid A (SAA), C-reactive protein (CRP), haptoglobin (Hp), fibrinogen (Fb), and serum sialic acid (SSA). It was found that TNF-α, IL-1β, IL-6, IL-10, SAA, CRP, Hp, Fb, and SSA were significantly higher in buffalo with TRP than the controls. Our findings suggest that the examined immunologic variables were helpful in documenting the inflammatory response in buffalo with TRP. However, their diagnostic usefulness only becomes apparent when considered in tandem with the clinical findings for any given animal, its anamnesis, and a subsequent USG assessment. Due to the frequent complications of TRP, more accurate indicators of its occurrence and severity would be useful.


2004 ◽  
Vol 75 (6) ◽  
pp. 549-555 ◽  
Author(s):  
Rosalina M. LAPITAN ◽  
Arnel N. DEL BARRIO ◽  
Osamu KATSUBE ◽  
Tomomi TOKUDA ◽  
Edgar A. ORDEN ◽  
...  

2015 ◽  
Vol 36 (5) ◽  
pp. 3239 ◽  
Author(s):  
Maria Cecília Florisbal Damé ◽  
Clairton Marcolongo-Pereira ◽  
Letícia Fiss ◽  
Maria de Lourdes Adrién ◽  
Ana Lucia Schild

<p>Two albino water buffalo affected by multiple melanocytic tumors in Southern Brazil are described. Grossly, there were multiple dark tumors within the skin, skeletal muscle, lungs, and lymph nodes. The tumor was also present in the pericardial sac, renal capsule, mediastinum and pleura. Microscopically, the tumors consisted of polyhedral epithelioid cells arranged in solid nests or interwoven fascicles supported by a thin and sparse collagenous stroma. The cytoplasm was eosinophilic and sometimes contained varying amounts of melanin pigment. The mitotic rates were low. Immunohistochemistry staining with Tyrosinase, Melan-A, Vimentin, S-100 protein, and neurofilament were positive. It is possible that the polymorphisms related to pigmentation in albino buffalo contributed with a high risk of developing melanoma as suggested in humans.</p>


Author(s):  
Mariel Aguilar-Domínguez ◽  
Dora Romero-Salas ◽  
Sokani Sánchez-Montes ◽  
Francisco Barradas-Piña ◽  
Greta Rosas-Saito ◽  
...  

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