The Livestock dataset contains four variables which provide census data for Cattle, Hogs, Horses (horses, donkeys and camels), and Sheep (sheep and goats). These census data are based on 1990 statistics.
See the references for the sources of these data.
China County Data collection contains seven datasets which were compiled in the early 1990s for use as inputs to the DNDC (Denitrification-Decomposition) model at UNH. DNDC is a computer simulation model for predicting carbon (C) and nitrogen (N) biogeochemistry in agricultural ecosystems. The datasets were compiled from multiple Chinese sources and all are at the county scale for 1990. The datasets which comprise this collection are listed below.
1) Agricultural Management 2) Crops 3) N-Deposition 4) Geography and Population 5) Land Use 6) Livestock 7) Soil Properties
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Get data on number of Non Households Enterprises and Institutions Owning Animals/Poultry Birds in Rural and Urban Combined. Non-household enterprise: A non-household enterprises is one which is institutional i.e. owned and run by the public sector (Central or State Government, local bodies, government undertakings, etc.), private corporate sector (include public and private limited companies registered as joint stock companies under the Companies Act 1956), Co-operative societies, other type of societies, institutions, associations, trusts, etc. Livestock census actually covers the census of livestock, poultry, implements and machinery used for livestock rearing. It is the only source for providing various kind of detailed information for these groups. Livestock Census conducted in every five years in India. India has largest livestock numbers in the world.
This coverage contains estimates of livestock holdings in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S. Department of Commerce, 1989a). Livestock holdings data are reported as either a number (for example, number of milk cows), number of farms, or in thousands of dollars. Livestock holdings estimates were generated from surveys of all farms where $1,000 or more of agricultural products were sold, or normally would have been sold, during the census year. Most of the attributes summarized represent 1987 data, but some information for the 1982 Census of Agriculture also was included. The polygons representing county boundaries in the conterminous United States, as well as lakes, estuaries, and other nonland-area features were derived from the Digital Line Graph (DLG) files representing the 1:2,000,000-scale map in the National Atlas of the United States (1970). Livestock Census of Agriculture Counties United States
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The dataset contains 20th livestock census compiled data on year-, district-, region-, town-, ward-, block- and village-wise number of cattle, buffaloes, goats, sheeps and pigs in the Union Territory of Puducherry in the year 2019
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The number of households engaged in agriculture and husbandry in the 104 Agricultural, Forestry, Fishery and Livestock Census, and classified by main operating type.
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Engaged in agriculture, forestry, fishery, and livestock census, the artificial area of agricultural and animal husbandry surfaces, and the cultivation types of agricultural facilities are also classified.
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Market Summary of Brucellosis Vaccine Market:
• The global Brucellosis Vaccines market size in 2023 was XX Million. The Brucellosis Vaccines Industry compound annual growth rate (CAGR) will be XX% from 2024 to 2031 • As the population of livestock increases, the chances of catching Brucellosis disease increase, which increases the demand for prevention through vaccination and drives the market • the market for brucellosis vaccines is anticipated to realize its full potential throughout the period due to the decline in COVID-19 cases and the opening of the global economy. • As the main points of contact for both pet owners and livestock keepers, veterinary hospitals and clinics are essential to the prevention and treatment of disease. They are the preferred places to obtain brucellosis immunizations due to their professional knowledge and extensive accessibility • North America currently holds a dominant position in the industry. Due to effective regulatory frameworks, increased knowledge of disease prevention, and large expenditures in the infrastructure of veterinary healthcare.
Market Dynamics of Brucellosis Vaccines Market:
Key Drivers of of Brucellosis Vaccines Market
An increase in the Livestock population increases the demand for the prevention of disease through vaccines.
The market for brucellosis vaccines is driven by the increase in animal populations worldwide. The need for efficient vaccines to manage and prevent brucellosis in animals rises with the amount of livestock, which promotes market expansion. For Instance, according to Ministry of Fisheries, Animal Husbandry & Dairying India’s 20th Livestock Census, there are around 303.76 million bovines (cattle, buffalo, mithun, and yak), 74.26 million sheep, 148.88 million goats, 9.06 million pigs, and approximately 851.81 million fowl.(Source:http://https://pib.gov.in/PressReleasePage.aspx?PRID=1988609https://pib.gov.in/PressReleasePage.aspx?PRID=1988609 )Thus, the chances of getting the disease are also high. According to an NCBI, study, brucellosis is highly prevalent in cattle and buffalo in the study area; at least one animal from a third of dairy farms tested seropositive, and 15.1% of big ruminants tested positive. (Source:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034737/)Hence, the Vaccine usage is the most efficient means of avoiding disease. Through herd immunity, vaccinations not only protect vaccinated animals but also lessen sickness in unvaccinated ones. Additionally, they lessen the need for antibiotics and lower the possibility of antibiotic resistance. According to WHO, Those who work with cattle are also thought to be at risk for the sickness at work. Blood, placenta, foetuses, and uterine fluids are among the things that people who interact with animals are more likely to come into contact with. Farmers, butchers, hunters, veterinarians, and laboratory workers are the main industries affected by this mode of transmission. Working with diseased animals and handling aborted foetuses or placentae puts veterinarians, and farmers at risk of infection. Primarily, human brucellosis can be avoided by managing the animal infection. One key method of lowering human infection is the pasteurization of milk from affected animals.(Source:https://www.who.int/news-room/fact-sheets/detail/brucellosis)Hence, as the population of livestock increases, the chances of catching Brucellosis disease increase, which increases the demand for prevention through vaccination and drives the market. Along with that, farmers or people who cater to animals are also prone to a high risk of getting Brucellosis which increases the demand for Vaccination for humans as well.
Government Initiatives for Vaccines for the protection of Brucellosis disease increase the growth of the market.
The market is growing because of strong government support and strict laws requiring animals to be protected against brucellosis. The adoption of immunization campaigns and adherence to regulations are key factors in the market's rising trend. Numerous governments worldwide are initiating a brucellosis vaccination campaign for cattle and other animals to eradicate the disease, which is anticipated to have an even greater favorable effect on the market under study. The Hon'ble Prime Minister launched th...
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There is an increasing emphasis in conservation strategies for large carnivores on facilitating their coexistence with humans. Justification for coexistence strategies should be based on a quantitative assessment of currently remaining large carnivores in human-dominated landscapes. An essential part of a carnivore’s coexistence strategy has to rely on its prey. In this research, we studied snow leopards Panthera uncia whose habitat mainly comprises human-dominated, unprotected areas, to understand how a large carnivore and its primary prey, the bharal Pseudois nayaur, could coexist with human land use activities in a large proportion of its range. Using a combination of livestock census, camera trapping and wildlife surveys, across a broad gradient of livestock grazing intensity in a 363,000 km2 landscape on the Tibetan Plateau, we found no evidence of livestock grazing impacts on snow leopard habitat use, bharal density and spatial distribution, even though livestock density was 13 times higher than bharal density. Bharal were found to prefer utilizing more rugged habitats at higher elevations with lower grass forage conditions, whereas livestock dominated in flat valleys at lower elevations with higher productivity, especially during the resource-scarce season. These findings suggest that the spatial niche separation between bharal and livestock, together with snow leopards’ specialized bharal diet, minimized conflicts and allowed snow leopards and bharal to coexist in landscapes dominated by livestock grazing. In recent years, reduced hunting and nomadic herder’s lifestyle changes towards permanent residence may have further reinforced this spatial separation. Our results indicated that, for developing conservation strategies for large carnivores, the niche of their prey in relation to human land-use is a key variable that needs to be evaluated.
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The Livestock dataset contains four variables which provide census data for Cattle, Hogs, Horses (horses, donkeys and camels), and Sheep (sheep and goats). These census data are based on 1990 statistics.
See the references for the sources of these data.
China County Data collection contains seven datasets which were compiled in the early 1990s for use as inputs to the DNDC (Denitrification-Decomposition) model at UNH. DNDC is a computer simulation model for predicting carbon (C) and nitrogen (N) biogeochemistry in agricultural ecosystems. The datasets were compiled from multiple Chinese sources and all are at the county scale for 1990. The datasets which comprise this collection are listed below.
1) Agricultural Management 2) Crops 3) N-Deposition 4) Geography and Population 5) Land Use 6) Livestock 7) Soil Properties