How many cattle are in the world? The global live cattle population amounted to about 1.57 billion heads in 2023, up from approximately 1.51 million in 2021. Cows as livestock The domestication of cattle began as early as 10,000 to 5,000 years ago. From ancient times up to the present, cattle are bred to provide meat and dairy. Cattle are also employed as draft animals to plow the fields or transport heavy objects. Cattle hide is used for the production of leather, and dung for fuel and agricultural fertilizer. In 2022, India was home to the highest number of milk cows in the world. Cattle farming in the United States Cattle meat such as beef and veal is one of the most widely consumed types of meat across the globe, and is particularly popular in the United States. The United States is the top producer of beef and veal of any country worldwide. In 2021, beef production in the United States reached 12.6 million metric tons. Beef production appears to be following a positive trend in the United States. More than 33.07 million cattle were slaughtered both commercially and in farms annually in the United States in 2019, up from 33 million in the previous year.

India's cattle inventory amounted to about *** million in 2023. In comparison, the global cattle population stood at over ***********, India had the highest cattle population followed by Brazil, China and the United States that year. Where are cattle bred in India? As one of the leading dairy producers and consumers worldwide, cattle in the south Asian country were bred mainly in the rural areas. However, its population was spread unevenly across the vast land. Uttar Pradesh ranked first in terms of milk production, followed by Rajasthan, and Madhya Pradesh in 2023. Contextualizing the holiness of the Indian cow Considered a sacred animal by Hindus in India, the cow is associated with several gods and goddesses. This deep religious and cultural significance has led to communal tensions. In 2014, the government established the Rashtriya Gokul Mission (RGM) to conserve and develop indigenous breeds of cows and buffaloes. While the general goal was well-received, it aligns with the underlying Hindu nationalist narrative of the current government.

This data-set shows the most recent global model of the cattle distribution. It is the first update (version 2.01) of the recently published Gridded Livestock of the World (GLW) 2.0 (May 2014). More information and access to the data of the GLW 2.0 are in the dedicated web-site: http://livestock.geo-wiki.org/ The GLW 2007 remains available for download in FAO Geonetwork. However, a quantitative assessment of change is not possible between the GLW 2007 and the GLW 2.0 (and its updates) due to different modeling techniques, spatial resolution, predicting variables and training data. The bibliographic reference to the GLW 2.0 and its updates is: Robinson TP, Wint GRW, Conchedda G, Van Boeckel TP, Ercoli V, Palamara E, Cinardi G, D’Aietti L, Hay SI, and Gilbert M. (2014) Mapping the Global Distribution of Livestock. PLoS ONE 9(5): e96084. doi:10.1371/journal.pone.0096084 The supplementary information includes a list of the observed data used to train this version of the cattle model.

Ethiopia had the highest number of cattle in Africa as of 2023, nearly ** million heads. United Republic of Tanzania possessed the second-highest bovine animal stock on the continent, with about ** million heads. In 2022, Africa had over *** million heads of cattle, one of the major species raised for livestock farming on the continent.

How many cows are in the world? India is home to the highest number of milk cows of any country, at over 61 million head as of 2024. That year, the European Union had the second most milk cows worldwide, at about 20 million head. Raising milk cows In the United States, the cost of feeding, housing, and caring for a single cow is around 2,260 U.S. dollars per 24 months. Though this price might seem high, when one considers that the average milk cow in the United States produces around 24.3 thousand pounds of milk per year, the investment might be worth it. Dairy production worldwide Although India is by far the largest producer of milk cows, the 27 member states of the European Union collectively produce nearly twice the amount of cow milk of India. The United States came in second place with just under 104 million metric tons of milk, followed by India with about 100 million metric tons. The European Union is also the leading producer of cheese worldwide.

Previous archeological and genetic research has shown that modern cattle breeds are descended from multiple independent domestication events of the wild aurochs (Bos primigenius) about ten thousand years ago. Two primary areas of domestication in the Middle East/Europe and the Indian subcontinent resulted in taurine and indicine lines of cattle, respectively. American descendants of cattle brought by European explorers to the New World beginning in 1493 generally have been considered to belong to the taurine lineage. Our analyses of 54,609 single nucleotide polymorphisms show that these New World cattle breeds, as well as the many related breeds of cattle in southern Europe, actually exhibit ancestry from both the taurine and indicine lineages. In this study we show that although European cattle are largely descended from the taurine lineage, gene flow from the indicine lineage has contributed substantial genomic components to both southern European cattle breeds and their New World descendants. New World cattle breeds, such as Texas Longhorns, provide an opportunity to study global population structure and domestication in cattle. Following their introduction into the Americas in the late 1400s, semi-feral herds of cattle underwent between 80 and 200 generations of predominantly natural selection, as opposed to the human-mediated artificial selection of Old World breeding programs. Our analyses of global cattle breed population history show that the hybrid ancestry of New World breeds contributed genetic variation that likely facilitated the adaptation of these breeds to a novel environment.

In the U.S., there have been approximately three times more beef cows than dairy cows each year since 2001. As of 2024, it was estimated that there were about 28 million beef cows and only about 9.3 million dairy cows. Beef vs. dairy cows Both beef and dairy cows are bred for their respective purposes and farmers often look for different qualities in each. Dairy cows are often bigger, as they can produce a larger volume of milk. Beef cows on the other hand are generally shorter and there is more emphasis on their muscle growth, among other qualities. In 2022, over 28 billion pounds of beef were produced in the United States. U.S. milk production and consumption The United States was among the top consumers of milk worldwide in 2022, surpassed only by India and the European Union. The annual consumption of milk in the U.S. that year was just under 21 million metric tons. To keep up with this level of consumption, milk production in the U.S. has increased by over 60 billion pounds since 1999 and is expected to exceed 228 billion pounds by 2023. California and Wisconsin were the top producing states as of 2022, producing about 41.8 and 31.9 billion pounds of milk, respectively.

The raster dataset consists of a 500m score grid for slaughterhouse industry facilities siting, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.

The analysis is based on cattle production intensification potential defined using crop production, livestock production systems, and cattle distribution.

The score is achieved by processing sub-model outputs that characterize logistical factors: 1. Supply - Feed, livestock production systems, cattle distribution. 2. Demand - Human population density, large cities, urban areas. 3. Infrastructure - Transportation network (accessibility) It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.2) + ("Human Population Density" * 0.2) + (“Major Cities Accessibility” * 0.3) + (”Cattle Intensification” * 0.3)

Data publication: 2021-10-18

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Dariia Nesterenko

Data lineage:

Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets: 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. 3. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2) 4. Global Livestock Production Systems v.5 2011. 5. OpenStreetMap.

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)

Online resources:

Zipped raster TIF file for Angola Slaughterhouse Location Score: Cattle (Angola- ~ 500m)

The raster dataset consists of a 500 m score grid for dairy processing industry facilities siting, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.

The analysis is based on cattle dairy production intensification potential, defined using crop production, livestock production systems, and cattle distribution.

The score is achieved by processing sub-model outputs that characterize logistical factors: 1. Supply - Feed, livestock production systems, livestock distribution. 2. Demand - Human population density, large cities, urban areas. 3. Infrastructure - Transportation network (accessibility)

It consists of an arithmetic weighted sum of normalized grids (0 to 100): (”Dairy Intensification” * 0.4) + ("Crop Production" * 0.3) + (“Major Cities Accessibility” * 0.2) + (“Population Density” * 0.1)

Data publication: 2021-10-15

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Justeen De Ocampo

Data lineage:

Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets: 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. 3. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2) 4. Global Livestock Production Systems v.5 2011. 5. OpenStreetMap.

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)

Online resources:

Zipped raster TIF file for dairy processing (UHT/powder) location score (Bangladesh - ~ 500m)

The raster dataset consists of a 500m score grid for dairy processing industry (UHT and milk powder) facilities siting, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.

The analysis is based on cattle dairy production intensification potential defined using crop production, livestock production systems, and cattle distribution.

The score is achieved by processing sub-model outputs that characterize logistical factors: 1. Supply - Feed, livestock production systems, cattle distribution. 2. Demand - Human population density, large cities, urban areas. 3. Infrastructure - Transportation network (accessibility) 4. Poverty.

It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.3) + ("Human Population Density" * 0.1) + (“Major Cities Accessibility” * 0.1) + ( "Asset Wealth" * 0.1) + (”dairyIntensification” * 0.4).

Data publication: 2021-10-18

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Dariia Nesterenko

Data lineage:

Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets: 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. 3. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2) 4. Global Livestock Production Systems v.5 2011. 5. OpenStreetMap. 6. Altas AI - Asset Wealth Index 2020.

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)

Online resources:

Dairy Processing Location Score: Cattle (Cameroon - ~ 500m)

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Cattle Healthcare Market Size 2024-2028

The cattle healthcare market size is forecast to increase by USD 4.47 billion at a CAGR of 8.91% between 2023 and 2028.

The market is experiencing significant growth due to several key factors. The increasing burden of cattle diseases is a major driver for market expansion, as farmers seek effective solutions to maintaIn the health and productivity of their herds. Additionally, the rising shift towards animal farming, particularly in developing countries, is creating new opportunities for market participants. However, challenges remain In the form of problematic disease management practices, which necessitate the development of advanced healthcare solutions. These trends and growth factors are shaping the future of the market, offering potential for innovation and growth.

What will be the Size of the Cattle Healthcare Market During the Forecast Period?

Request Free SampleThe market encompasses a range of products and services aimed at maintaining the health and productivity of bovine livestock. Animal husbandry practices prioritize preventative measures against diseases such as bovine tuberculosis, anthrax, brucellosis, rabies, milk fever, and chronic conditions like mastitis and inflammation of the mammary gland. Clinical mastitis, a common ailment causing inflammation and infection In the mammary gland, significantly impacts milk production and necessitates timely intervention. Drug consumption and medical devices are integral components of cattle healthcare, with a focus on enhancing immunity and mitigating the spread of diseases. The adoption of advanced technologies, including vaccine development, is driving market revenues in this sector.The market is a critical aspect of livestock production, with implications for both milk and meat production industries, as well as poultry production.

How is this Cattle Healthcare Industry segmented and which is the largest segment?

The cattle healthcare industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. TypeBeef cattleDairy cattle ProductPharmaceuticalsFeed additivesVaccinesOthers GeographyNorth AmericaUSEuropeGermanyFranceAsiaChinaIndiaRest of World (ROW)

By Type Insights

The beef cattle segment is estimated to witness significant growth during the forecast period.

Beef cattle healthcare is a critical component of animal farming, focusing on the prevention, diagnosis, and treatment of diseases, as well as the promotion of productivity and animal welfare. Disease prevention is achieved through vaccination programs targeting illnesses like bovine tuberculosis, milk fever, and chronic diseases, ensuring herd health and reducing drug consumption. Proper nutrition plays a significant role in maintaining cattle health and productivity, with balanced diets tailored to various life stages. Regular health monitoring, including parasite control and hoof care, is essential to address potential health issues. Medical devices, such as diagnostic imaging tools like CT scans and magnetic resonance imaging, are used to diagnose and treat conditions affecting the mammary gland, such as clinical mastitis and inflammation.Veterinary services and medications, including vaccines and medicines naturally derived, are crucial in maintaining the well-being of the cattle population. Livestock production, including milk production, poultry production, and dairy industry, relies on effective cattle healthcare practices, with emerging economies investing in initiatives to improve infrastructure, funding, and awareness. Disease control and monitoring are essential for sustainable livestock production, addressing zoonotic diseases like Salmonellosis and ensuring animal welfare.

Get a glance at the Cattle Healthcare Industry report of share of various segments Request Free Sample

The Beef cattle segment was valued at USD 3.7 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 37% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American the market is experiencing significant growth due to several factors. The region's increasing cattle population and heightened focus on animal welfare have fueled the demand for advanced cattle healthcare solutions. Approximately 60% to 65% of US households own cattle, with around 85 million to 87 million homes housing them. To enhance cattle health, veterinary clinics and hospitals are adopting innovative healthcare p

The raster dataset consists of a 500m score grid for dairy processing industry (UHT and milk powder) facilities siting, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.

The analysis is based on cattle dairy production intensification potential defined using crop production, livestock production systems, and cattle distribution.

The score is achieved by processing sub-model outputs that characterize logistical factors: 1. Supply - Feed, livestock production systems, cattle distribution. 2. Demand - Human population density, large cities, urban areas. 3. Infrastructure - Transportation network (accessibility) 4. Poverty.

It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.25) + ("Human Population Density" * 0.1) + (“Major Cities Accessibility” * 0.1) + (“ Accessibility to ports” * 0.1) + ( "Poverty" * 0.1) + (”Dairy Intensification” * 0.35).

Data publication: 2021-10-18

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Dariia Nesterenko

Data lineage:

Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets: 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. 2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. 3. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2) 4. Global Livestock Production Systems v.5 2011. 5. OpenStreetMap. 6. Poverty: VMPI source: UNDP (United Nations Development Programme).

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)

Online resources:

Zipped raster TIF file for Dairy Processing Location Score: Cattle (Pakistan - ~ 500m)

8_Iran_Cattle_Breeds_genoThe file contains genotypes of 8 Iranian cattle breeds (75 animals). The file is in a compressed rds format and can be used and modified in R.

Crossbreeding has been employed to address environmental challenges. One successful example is the Siboney de Cuba, developed in response to economic challenges in the 1960s. The aim of this study was to perform the first genomic characterization of the Siboney de Cuba breed, a successful hybrid breed resulting from the crossbreeding of Cuban Zebu and Holstein, using SNP array chip. For this purpose, 48 Siboney de Cuba cattle samples were collected and genotyped with the GGP Bovine 100k BeadChip, resulting in 83,314 SNPs after quality control. The genetic diversity was investigated using observed and expected heterozygosity, inbreeding coefficient, and minor allele frequency. Runs of homozygosity (ROH) analysis provided insights into molecular inbreeding. Additionally, the study investigated copy number variants (CNV), identifying CNV regions and their distribution. The genetic relationship and population structure of Siboney de Cuba were analyzed in comparison with worldwide cattle populations using ADMIXTURE, multidimensional scaling, and phylogenetic analysis. Six ROH islands containing a total of 50 genes were discovered, some of which were uncharacterized loci. Furthermore, 792 CNV with higher occurrence of genetic material loss were observed. The overall genome coverage for CNV regions was 2.16%. The Siboney de Cuba exhibited a good level of genetic variability with high heterozygosity and low inbreeding when compared with other cattle breeds worldwide. Also, the breed shared genetic similarity to hybrids from America and Bos indicus from Africa and highlighted a moderate level of genetic isolation with some overlaps with Bos taurus from America. The breed showed a complex genetic composition, influenced by historical factors. Overall, findings of the present study contribute to the understanding of genomic structure of Siboney de Cuba cattle breed.

The raster dataset consists of a 1km score grid for dairy processing industry facilities siting, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.

The analysis is based on cattle dairy production intensification potential defined using crop production, livestock production systems, and cattle distribution.

The score is achieved by processing sub-model outputs that characterize logistical factors:

1. Supply - Feed, livestock production systems, cattle distribution.

2. Demand - Human population density, large cities, urban areas.

3. Infrastructure - Transportation network (accessibility)

It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Total Crop Production" * 0.3) + ("Human Population Density" * 0.1) + (“Major Cities Accessibility” * 0.2) + (”Dairy Intensification” * 0.4).

Data publication: 2023-01-09

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Dariia Nesterenko

Data lineage:

Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets:

1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. https://data.apps.fao.org/catalog/iso/304c21fb-0f5a-44ad-9948-2af6a7144fb5
2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units.
3. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 and GLW 2)
4. Global Livestock Production Systems v.5 2011.
5. OpenStreetMap.

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)

Online resources:

Download: Dairy Processing Location Score: Cattle (Yemen - ~ 1km)

BackgroundModern cattle originate from populations of the wild extinct aurochs through a few domestication events which occurred about 8,000 years ago. Newly domesticated populations subsequently spread worldwide following breeder migration routes. The resulting complex historical origins associated with both natural and artificial selection have led to the differentiation of numerous different cattle breeds displaying a broad phenotypic variety over a short period of time. Methodology/Principal FindingsThis study gives a detailed assessment of cattle genetic diversity based on 1,121 individuals sampled in 47 populations from different parts of the world (with a special focus on French cattle) genotyped for 44,706 autosomal SNPs. The analyzed data set consisted of new genotypes for 296 individuals representing 14 French cattle breeds which were combined to those available from three previously published studies. After characterizing SNP polymorphism in the different populations, we performed a detailed analysis of genetic structure at both the individual and population levels. We further searched for spatial patterns of genetic diversity among 23 European populations, most of them being of French origin, under the recently developed spatial Principal Component analysis framework. Conclusions/SignificanceOverall, such high throughput genotyping data confirmed a clear partitioning of the cattle genetic diversity into distinct breeds. In addition, patterns of differentiation among the three main groups of populations—the African taurine, the European taurine and zebus—may provide some additional support for three distinct domestication centres. Finally, among the European cattle breeds investigated, spatial patterns of genetic diversity were found in good agreement with the two main migration routes towards France, initially postulated based on archeological evidence.

Milk Cow Feed Market Outlook

The global milk cow feed market size was valued at approximately $15.3 billion in 2023 and is projected to reach around $22.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 4.5% during the forecast period. The growth of this market is primarily driven by the increasing demand for dairy products worldwide, driven by both population growth and rising per capita consumption of milk and milk-based products.

One of the significant growth factors is the increasing disposable income in developing countries, which has led to a rise in the consumption of high-value nutritious food, including dairy products. This, in turn, has increased the demand for milk cow feed as dairy farmers strive to boost milk yield. Advances in feed technology have also played a critical role, enabling farmers to optimize the nutritional content of the feed, leading to healthier cows and better milk production.

Another factor contributing to the market's growth is the implementation of government initiatives and subsidies aimed at modernizing the dairy farming sector. Governments across various regions are investing in the development of advanced dairy farming practices and providing financial incentives to encourage the adoption of high-quality cow feed. Additionally, the increasing awareness about the benefits of balanced nutrition for cows among dairy farmers is spurring the growth of the market.

The rising trend of organic and non-GMO (Genetically Modified Organism) feed is also influencing market dynamics. As consumer preference shifts toward organic dairy products, dairy farmers are increasingly opting for organic and non-GMO feeds, which are perceived to be healthier for cows and produce higher-quality milk. This trend is particularly prominent in developed regions such as North America and Europe, where consumer awareness about the health and environmental benefits of organic foods is higher.

Regionally, North America and Europe are the leading markets for milk cow feed due to their well-established dairy industries and high levels of technological adoption in farming practices. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increasing disposable incomes, and a growing middle-class population that is increasingly consuming dairy products.

Product Type Analysis

The milk cow feed market is segmented by product type into grains, oilseeds, forage, supplements, and others. Grains, including corn, barley, and wheat, are a staple in cow feed due to their high energy content and relatively low cost. They play a crucial role in providing the necessary carbohydrates that cows require for energy, which is essential for milk production. The widespread availability and affordability of grains make them a popular choice among dairy farmers worldwide.

Oilseeds, such as soybeans and canola, are another critical component of milk cow feed. They are valued for their high protein content, which is vital for the growth and development of cows and for enhancing milk yield. The use of oilseeds in cow feed has been increasing, driven by advancements in processing techniques that make these ingredients more accessible and cost-effective. Additionally, oilseeds help improve the overall health of cows, making them a preferred choice for many dairy farmers.

Forage, which includes hay, silage, and pasture, is a traditional and essential part of cow feed. It provides fiber, which is necessary for the proper functioning of the digestive system of cows. Forage is particularly important in regions where dairy farming is predominantly pasture-based. The quality of forage can significantly impact milk production, and farmers are increasingly focusing on optimizing forage quality through better cultivation practices and storage methods.

Supplements are becoming increasingly popular in the milk cow feed market as farmers look to enhance the nutritional profile of the feed. These include vitamins, minerals, amino acids, and other additives that help improve cow health and milk production. The use of supplements is driven by the need to address specific nutritional deficiencies that may not be met by traditional feed components. Innovations in supplement formulations are providing dairy farmers with more effective solutions to boost milk yield.

Other types of feed, including by-products from the food processing industry, are also used in cow feed. These by-pro

How many cows are in the U.S.? The United States is home to approximately **** million cattle and calves as of 2024, dropping slightly from the 2023 value. Cattle farming in the United States There are over ***** times more beef cows than milk cows living in the United States. Raising cattle is notoriously expensive, not only in terms of land, feed, and equipment, but also in terms of the environmental impact of consuming beef. Beef and milk have the highest carbon footprints of any type of food in the United States. U.S. milk market The volume of milk produced in the United States has been steadily increasing over the last several years. In 2023, total milk production in the U.S. was about ***** billion pounds, up from ***** billion pounds in 2010. ********** is the leading producer of milk of any U.S. state, generating approximately ** billion pounds of milk in 2022. Wisconsin came in second, producing about **** billion pounds of milk in that year.

Cattle Vaccines Market Size And Forecast

Cattle Vaccines Market size was valued at USD 13.07 Billion in 2023 and is projected to reach USD 21.33 Billion by 2031, growing at a CAGR of 6.32% during the forecast period 2024-2031.

Global Cattle Vaccines Market Drivers

The market drivers for the Cattle Vaccines Market can be influenced by various factors. These may include:

Growing Rate Of Diseases In Cattle: Effective vaccines are in high demand in order to protect cattle from infectious diseases such as brucellosis, foot-and-mouth disease, and viral diarrhoea in cows.

Growing Requirement For Animal-Based Protein: The growing number of people on the planet has increased demand for dairy and meat products, which calls for robust herds of cattle. In order to prevent disease outbreaks and maintain constant production, this demand drives the need for vaccines.

Technological Developments In Vaccines: The creation of more potent and effective vaccinations, particularly those that provide extended immunity and broad-spectrum protection, has been facilitated by advancements in immunology and biotechnology. These developments support market expansion.

Governmental Proposals And Assistance: Worldwide, a large number of governments carry out immunisation campaigns and offer financial assistance or subsidies for veterinary services, which includes vaccinations for cattle. These programmes aid in the prevention of livestock illnesses and promote market expansion.

Raising Preventive Healthcare Awareness And Adoption: Vaccination rates are rising as a result of farmers and livestock owners' growing awareness of the advantages of preventive care for cattle. This is largely due to the education and outreach initiatives that veterinary businesses and organisations run.

Growth Of The Meat And Dairy Industries: The need for cow vaccinations is driven by the expansion of the meat and dairy industries, particularly in emerging economies. The necessity of keeping sizable, healthy herds grows as these sectors develop.

Livestock Diseases' Effects On The Economy: Cattle disease outbreaks can have serious economic repercussions, such as reduced production, trade restrictions, and animal losses. Vaccination is a reasonably priced way to reduce these dangers, which is fueling demand.

Creation Of Novel And Better Vaccines: New vaccinations with improved protection, fewer side effects, and simpler administration are introduced as a result of ongoing research and development efforts, which has a favourable effect on market expansion.

Standards And Regulations: Vaccine usage is encouraged by strict laws and guidelines pertaining to the health and safety of animals. Adherence to these standards is crucial for the commerce and export of livestock, hence promoting the implementation of vaccination campaigns.

Growing The Population Of Livestock: The number of animals worldwide is increasing, especially in emerging nations where raising cattle is a major source of income. More vaccinations are required to prevent and manage diseases in a greater population of cattle.

Background: Tunisian local cattle populations are at risk of extinction as they were massively crossed with imported breeds. Preservation of indigenous livestock populations is important because each of them comprises a unique set of genes resulting from a local environment-driven selection that occurred over hundreds of years. The diversity and genetic structure of Tunisian local cattle populations are poorly understood. However, such information is crucial to the conservation and sustainable use of genetic resources. In addition, comparing the genomic structure of population sets from different parts of the world could help yield insight into their origin and history. In the present study, we provide a detailed assessment of the population structure of the three Tunisian local cattle populations using various methods, and we highlight their origin and history by investigating approximately ~38,000 SNPs in a broad panel of 878 individuals from 37 worldwide cattle breeds representative of African, European and indicine populations. Results: Our study revealed a low level of divergence and high genetic diversity in Tunisian local cattle reflecting low levels of genetic drift. A Comparison with the worldwide cattle panel pinpointed the admixed origin of the genome of the three Tunisian populations with the two main European and African ancestries. Our results were in agreement with previous historical and archaeological reports about the past gene flow that existed between North African and South European breeds, in particular with Iberian cattle. We also detected a low-level indicine introgression in the three Tunisian populations and we inferred that indicine ancestry was inherited via African ancestors. Conclusions: Our results represent the first study providing genetic evidence about the origin and history of Tunisian local cattle. The information provided by the fine-scale genetic characterization of our study will enhance the establishment of a national conservation strategy for these populations. These results may enable the identification of genetic variants involved in adaptation to harsh environmental conditions.