Lumpy virus cow

  1. Safe to consume milk from Lumpy Skin Disease
  2. How ICAR’s new vaccine against Lumpy Skin Disease, the viral infection killing India’s cattle, will work
  3. Lumpy virus kills 236 cattle in UP, affects 25 districts across state
  4. A Deep Learning Approach to Detect Lumpy Skin Disease in Cows


Download: Lumpy virus cow
Size: 54.45 MB

Safe to consume milk from Lumpy Skin Disease

Lumpy Skin Disease (LSD) has spread in more than a dozen states including Gujarat, Rajasthan, Punjab and Haryana. The disease has affected 16.42 lakh cattle in 197 districts and has killed 75,000 cattle between July and September 11, 2022, according to data maintained by the Department of Animal Husbandry. LSD is a contagious viral disease that affects cattle and causes fever, nodules on the skin and can also lead to death. The disease gets spread by mosquitoes, flies, lice, and wasps by direct contact among the cattle, and through contaminated food and water. Speaking to PTI, on safety and quality of milk from the infected cattle, IVRI Joint Director Ashok Kumr Mohanty said LSD is a non-zoonotic disease and not transmissible from animals to humans. "It is safe to consume milk from the infected cattle. There is no problem in the quality of milk even if you have it after boiling or without boiling," Mohanty said. However, milk production in the infected cattle gets affected depending on the severity of the disease and immunity level of the animal, he added. Mohanty said there can be a localised impact on milk production but it is difficult to quantify right now in the absence of accurate data on the spread of the infection in cattle across the country. "When cattle are infected, the animals become weak due to nodule formation, fever and other symptoms. This severely affects milk production. When the animal is dying, its entire body system is affected," he said. The disease ...

How ICAR’s new vaccine against Lumpy Skin Disease, the viral infection killing India’s cattle, will work

Premium How ICAR’s new vaccine against Lumpy Skin Disease, the viral infection killing India’s cattle, will work Lumpy Skin Disease vaccine: Lumpi-ProVacInd, which could be commercially launched in a few months, is a homologous, live attenuated vaccine specifically targeted to protect cattle against the LSD virus. The Indian Council of Agricultural Research (ICAR) is aiming to commercially launch in “four-five months” its indigenously-developed vaccine against the Lumpy Skin Disease (LSD) virus that has killed around 50,000 heads of cattle in several states since April. Bhupendra Nath Tripathi, Deputy Director-General (Animal Sciences) of ICAR, said that Agrinnovate India, the commercialisation arm for products and technologies developed by ICAR institutes, had issued an expression of interest document for the vaccine, ‘Lumpi-ProVacInd’, last month, and that three companies had shown interest. What is Lumpi-ProVacInd, and how does it work? The vaccine, which has been jointly developed by ICAR’s National Research Centre on Equines (NRCE) at Hisar, Haryana and the Indian Veterinary Research Institute (IVRI) at Izatnagar, UP, is a live attenuated vaccine, similar to those used against tuberculosis, measles, mumps and rubella. “It is also homologous, providing 100 per cent protection against LSD in cattle. Currently, we are only administering goat pox and sheep pox virus vaccines. These are heterologous vaccines offering only cross-protection (up to 60-70 per cent) for cattle ...

Lumpy virus kills 236 cattle in UP, affects 25 districts across state

By Abhishek Mishra: The Lumpy virus is rapidly spreading across several districts in Uttar Pradesh. So far, 236 cattle have succumbed to the virus while there are more than 25,000 cases across 2,600 villages in 25 districts. As many as 15 lakh cattle are currently in the infection zone. The catastrophic effect of the virus is not only visible in animals but it has also affected the production of milk and other businesses related to it. This immune belt passes through Bisalpur, Barkheda, Lalorikheda, Marori and Amaria development blocks of Pilibhit district via Khudaganj, Nigohi, Sidhauli, Bhawal Kheda, Kant, Jalalabad and Mirzapur development blocks of Shahjahanpur district, Kaimganj, Shamsabad and Rajepur development blocks of Farrukhabad district. via Kurawali of Mainpuri district, Sultanganj and Ghirour development blocks and Badhpura, Jaswantnagar, Saifai, Basrehar and Takha development blocks of Etawah. The process of making immune belts through vaccination was started by the Animal Husbandry Department, in which 100 per cent vaccination of the animals will be done. So far, belt vaccination of 2 lakh cattle and 12.56 lakh infection-related vaccinations have been done. ALSO READ | Talking to India Today, State Animal Disease Director Dr PK Singh said that the situation in UP is better than other states. A special task force has been constituted for surveillance, which will take care of the tracking and treatment of animals infected with the virus. He said, "A total of ...

A Deep Learning Approach to Detect Lumpy Skin Disease in Cows

Diseases in cows are an influential point for human concern. There are some diseases in animals identified in the early phases that can be diagnosed and cured in the early phases of the disease itself. The effect of lumpy skin disease can cause large capital losses in the farm animal industry if it is not taken care of properly. The main reason for this disease is the lumpy skin virus, and this virus is a part of the Poxviridae family. The major symptom of lumpy skin disease is the Neethling strain, and other symptoms are a few mild forms of circumscribed skin nodules. These symptoms also include mucous membranes of internal organs like respiratory organs and reproductive organs. By the infection of such disease, animals like cattle get their skin permanently damaged. Some of the detrimental outcomes of this disease in cows are reduction in milk projection, infertility, poor growth, abortion and sometimes death. In this research work, an architecture using machine learning techniques to detect the disease is proposed. This architecture employs the pre-trained models like VGG-16, VGG-19 and Inception-v3 for feature extraction and then followed by multiple classifiers. The work is tested on our manually collected dataset, and the extracted features were further classified using the classifiers like kNN, SVM, NB, ANN and LR. Using this methodology, the state-of-the-art solution obtaining a classification accuracy of 92.5% over the test dataset. Keywords • Feature extraction •...