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IntroductionThe vast genetic diversity of Indian sheep in semi-arid regions remains largely unexplored, posing difficulties in conservation and sustainable management. Genetic characterization is essential for safeguarding these breeds and designing selective breeding strategies to enhance their resilience and productivity. To bridge this knowledge gap, an investigation was undertaken to genetically characterize different populations of semi-arid sheep (Nellore breed Palla, Brown, and Jodipi phenotypic strains, Macherla and Vizianagaram sheep) from India through microsatellite loci and to explore their genetic divergence.MethodsBlood samples and genetic data from five distinct sheep populations were collected from 672 shepherds across 162 flocks. To ensure a thorough genetic characterization, thirty microsatellite markers were utilized. Genetic diversity and population structure were then analyzed using MICROCHECKER, LDNe, STRUCTURE, and Genepop.Results and DiscussionVizianagaram sheep population displayed the highest allele count (276) with a mean allele number of 12.545, while Nellore Palla had the lowest allele count (205) with a mean allele number of 9.318. Private alleles identified in the populations were 22, 33, 48, 57, and 41 for Macherla, Nellore Brown, Nellore Jodipi, Vizianagaram, and Nellore Palla sheep, respectively. The mean observed heterozygosity (Ho) values ranged from 0.587 to 0.732, while the expected heterozygosity (He) values ranged from 0.692 to 0.769 among the populations studied. The microsatellite markers demonstrated a high level of polymorphism, with the Polymorphic Information Content (PIC) value ranging from 0.61 to 0.85. The most notable genetic differentiation among the populations investigated was observed between Vizianagaram and Palla sheep, as evidenced by a high FST value of 0.180. Conversely, the lowest genetic differentiation was recorded between Macherla and Nellore Brown sheep, with an FST value of 0.011. Nei’s unbiased genetic distance varied across populations, with the highest distance observed between Nellore Palla and Vizianagaram sheep (0.926) and the lowest between Macherla and Nellore Brown sheep (0.032), complementing the results of genetic differentiation using FST value. Bottleneck analysis conducted across all populations revealed an abundance of low-frequency alleles, suggesting the absence of recent bottlenecks. Effective population size is optimum in all populations except Nellore Palla and Brown sheep. Structure analysis and factorial correspondence analysis revealed that the five sheep populations under study were distributed into three distinct clusters, with Palla forming a separate cluster. Furthermore, the results of principal component analysis demonstrated that Palla sheep formed a separate sub-cluster within the cluster containing Brown and Macherla sheep. The findings provide valuable insights for conservation and sustainable utilization of the sheep populations for breeding programs.
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The dataset contains year-, state-, region- and breed-wise compiled census data on livestock animals such as Bovine, Buffalo, Cattle, Sheep, Goats, Mules, Donkeys, Mithun, Pig, Camels, Horses, Ponies, Yak , etc. and poultry birds such as Cock, Hen, Chicken, Quail, Turkey, Layer, Broiler, Duck, Ducklings, Emu, Ostrich, etc., by their different breeds such as desi, exotic, indigenous, improved, etc., during the period of 2012 to 2019. The dataset also contains separate data on population of stray cattle and dogs
In 2022, the sheep stock in China was the highest in the Asia-Pacific region, amounting to approximately 194 million head of sheep. India followed with nearly 75 million sheep. In comparison, the sheep stock in Nepal was around 12 thousand that year.
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The dataset contains All India compiled data on the quinquennial livestock and poultry population from the year 1956 to 2019. The livestock covered in the dataset include Cattle, Buffaloes, Sheep, Goats, Horses and ponies, Camels, Pigs, Mules, Donkeys, Yaks, etc.
Rajasthan had the highest goat population across India, at about 20.4 million in 2019. West Bengal ranked second that year, followed by Uttar Pradesh. Goat population across the country grew by over ten percent between 2012 and 2019. Furthermore, livestock population amounted to nearly 535.8 million with cattle, buffaloes and goats making up the largest share.
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India has a centuries-old tradition of sheep production and breeding that accomplish economic, agricultural, and religious roles. In addition to the 44 registered sheep breeds, there is a fat-tailed sheep population referred to as Dumba. This study evaluated genetic variation in Dumba sheep and its differentiation from other Indian sheep breeds using mitochondrial DNA and genomic microsatellite loci. Haplotype and nucleotide diversity based on mitochondrial DNA analysis revealed substantially high maternal genetic diversity in Dumba sheep. Major ovine haplogroups A and B observed in sheep populations across the globe registered their presence in the Dumba sheep. The molecular genetic analysis using microsatellite markers also showed high measures of allele (10.125 ± 0.762) and gene diversity (0.749 ± 0.029). Results correspond to the non-bottleneck population that is near mutation-drift equilibrium despite some deficiency in the number of heterozygotes (FIS = 0.043 ± 0.059). Phylogenetic clustering confirmed Dumba to be a distinct population. Results of this study endow authorities with critical information imperative for sustainable utilization and conservation of Indian fat-tailed sheep, which is considered to be an untapped genetic resource contributing to the food security, livelihood, and economic sustainability of rural households in marginal areas of the country.
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The global electric sheep shears market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach USD 2.3 billion by 2032, growing at a CAGR of 4.8% during the forecast period. This growth is primarily driven by the increasing demand for efficient and time-saving shearing solutions in the agriculture sector. With the rise in sheep farming and the need for high-quality wool across various industries, the adoption of electric sheep shears is expected to witness significant growth.
One of the major growth factors in this market is the continuous technological advancements in agricultural equipment. Modern electric sheep shears offer enhanced precision, reduced shearing time, and improved animal welfare compared to traditional shearing methods. These advancements have made shearing less labor-intensive and more efficient, encouraging more farmers and professional shearers to invest in electric options. Additionally, the growing awareness about animal welfare and the need to reduce stress and injury during shearing are further propelling the market's growth.
Another significant factor contributing to the expansion of the electric sheep shears market is the increasing global sheep population. As the demand for wool and mutton rises, so does the need for efficient shearing tools. Countries with large sheep populations, such as China, Australia, and New Zealand, are witnessing substantial growth in the adoption of electric sheep shears. Moreover, government initiatives and subsidies aimed at modernizing the agricultural sector are also playing a crucial role in driving market growth.
The rise of e-commerce platforms and online retail is another critical driver for the market. The convenience of purchasing equipment online, coupled with the availability of a wide range of products, has significantly boosted sales of electric sheep shears. Additionally, the ability to compare prices and read reviews online allows farmers and shearers to make informed purchasing decisions. This shift towards online shopping is expected to continue, further fueling the growth of the electric sheep shears market.
Regionally, the market outlook varies significantly. The Asia Pacific region, led by China and India, is expected to dominate the market due to its large sheep population and increasing demand for efficient shearing tools. North America and Europe are also anticipated to witness substantial growth, driven by technological advancements and the rising awareness of animal welfare. Meanwhile, regions such as Latin America and the Middle East & Africa are gradually adopting electric sheep shears as part of their efforts to modernize agricultural practices.
The electric sheep shears market can be segmented based on product type into corded and cordless shears. Corded shears are traditionally more popular due to their consistent power supply and ability to handle extensive shearing tasks without interruptions. These shears are typically preferred in large-scale operations where long hours of continuous use are required. They offer robust performance and are generally more durable, making them a staple in professional shearing scenarios. However, their dependency on a power source can limit their mobility, which is a significant consideration in the field of sheep shearing.
On the other hand, cordless electric sheep shears are gaining traction due to their convenience and flexibility. Advances in battery technology have significantly improved the performance and battery life of cordless models, making them a viable option for both small-scale farmers and professional shearers who need to work in remote locations without access to electricity. The ease of maneuverability and the ability to shear sheep in any location without being tethered to a power outlet make cordless shears increasingly popular. Despite their generally higher cost, the benefits they offer in terms of flexibility and ease of use are driving their adoption.
The choice between corded and cordless shears often depends on the specific needs and preferences of the user. For instance, professional shearers who travel frequently and work in different environments may prefer cordless models, while those who operate in a fixed location with access to power may opt for corded shears. The market for both types is expected to grow, with cordless shears likely to see faster adoption rates due to their increasing reliability and convenience.
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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.
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The global ruminant animal feed market is a significant and expanding sector, driven by the rising global population and increasing demand for meat and dairy products. While precise market size figures aren't provided, industry reports suggest a substantial market value, likely in the billions of dollars, exhibiting a Compound Annual Growth Rate (CAGR) indicating steady expansion. This growth is fueled by several key factors, including advancements in feed formulation leading to improved animal health and productivity, a growing preference for high-quality meat and dairy products, and increasing investments in livestock farming, particularly in developing economies. Further driving this market is the expansion of organized farming practices, adoption of precision feeding techniques, and the development of specialized feeds tailored to specific animal breeds and production goals. However, challenges such as fluctuating raw material prices, stringent regulations regarding feed composition and safety, and the growing concerns about the environmental impact of livestock farming act as restraints to market growth. The market is segmented by feed type (concentrated feed, concentrate supplementary feed, premixed feed) and application (cattle, sheep, others). The cattle segment holds the largest share, followed by sheep, reflecting their significant contribution to global meat and dairy production. Concentrated feeds are likely the dominant feed type due to their high nutrient density and efficacy in promoting animal growth. Geographically, the market is spread across various regions, with North America, Europe, and Asia Pacific representing major contributors. China and India, given their large livestock populations, are expected to be key growth markets in the coming years. Leading companies in this sector such as Charoen Pokphand Group, Cargill, and Archer Daniels Midland benefit from their established distribution networks and strong brand recognition. The competitive landscape is intense, with companies focusing on research and development to improve feed efficiency and sustainability, thereby gaining a competitive edge. Future growth will depend on navigating these challenges and adapting to evolving consumer preferences and environmental concerns. Sustainable and traceable feed sources are becoming increasingly important considerations for both producers and consumers.
Feed Phytogenics Market Size 2024-2028
The feed phytogenics market size is forecast to increase by USD 337.8 billion at a CAGR of 7.08% between 2023 and 2028. The market is experiencing significant growth, driven by the expanding poultry industry and the increasing adoption of encapsulated technology. The poultry sector's growth is attributed to the rising demand for eggs and pork meat, particularly in the foodservice and retail sectors. In the aquaculture industry, there is a growing trend toward using phytogenics in fish feed production to enhance fish growth and improve feed conversion rates. Additionally, consumer preferences are shifting toward plant-based diets, leading to an increase in demand for vegan food alternatives. The Department of Fisheries and Aquaculture in the US is also promoting the use of phytogenics in seafood production to reduce the reliance on traditional animal-derived feeds. Overall, these trends are expected to drive the growth of the market in the US, particularly in the egg, pig meat, and aquaculture sectors. The animal feed industry is experiencing a significant shift towards sustainable and natural solutions for livestock nutrition.
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Phytogenics, derived from plant extracts, are gaining popularity as effective feed additives in the livestock industry. These natural solutions include organic acids, prebiotics, and probiotics, which enhance digestion, improve feed conversion efficiency, and boost animal performance. Phytogenics are particularly beneficial for poultry and swine production, as they help maintain gut health and reduce the use of antibiotics. With the EU government's push towards reducing antibiotic usage due to antibiotic resistance concerns, phytogenics offer a viable alternative. Ruminant livestock, such as cattle and sheep, also benefit from phytogenics, as they improve rumen fermentation and reduce methane emissions.
Furthermore, plant-derived feed additives, including phytogenics, are expected to dominate the feed additives market in the coming years. Feed phytogenic producers are investing in research and development to create innovative solutions for various animal populations. Silvateam SPA is one such company that specializes in phytogenic solutions for animal nutrition. Phytogenics not only improves animal health but also contributes to reducing zoonotic diseases and enhancing the overall sustainability of feed production in livestock farming.
Market Segmentation
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for 2024-2028, as well as historical data from 2018-2022 for the following segments.
Type
Essential oils
Herbs and spices
Oleoresins
Others
Geography
APAC
China
India
Japan
North America
US
Europe
Germany
South America
Middle East and Africa
By Type Insights
The essential oils segment is estimated to witness significant growth during the forecast period. The market is driven by the utilization of essential oils and oleoresins in livestock feed, particularly in the swine sector. Essential oils hold the largest market share and are anticipated to maintain their dominance due to their increasing significance as a substitute for antibiotics in animal nutrition. These natural additives enhance the shelf life of animal feed components and contribute positively to animal health and performance. Comprised of terpenoids and phenylpropanoids, essential oils exhibit antimicrobial properties, making them effective against various pathogens. Furthermore, they function as antioxidants, immuno-stimulants, and anti-inflammatory agents, thereby improving overall animal health.
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The essential oils segment was valued at USD 306.70 million in 2018 and showed a gradual increase during the forecast period.
Regional Insights
APAC is estimated to contribute 50% 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.
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The market in the Asia Pacific (APAC) region is projected to expand significantly over the coming years. This growth can be attributed to the increasing consumption of swine meat, poultry, and other meat and meat products products in the region. Essential oils and oleoresins are commonly used phytogenic feed additives in livestock feed due to their antimicrobial properties. These additives help mitigate antibiotic resistance and improve animal health. In 2023, APAC emerged as the largest producer of feed phytogenics, with China, India, Japan, and Australia being the major markets. The formulation of poultry fe
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The global ovine and caprine artificial insemination (AI) market is projected to reach a valuation of USD 272.33 million by 2033, expanding at a CAGR of 4.6% from 2025 to 2033. The increasing demand for high-quality meat and milk from sheep and goats, along with the growing adoption of AI technology in livestock breeding, is driving the market growth. Additionally, government initiatives to promote AI in the livestock industry and the availability of advanced AI devices and equipment are contributing to market expansion. The North American region is anticipated to hold a significant market share throughout the forecast period due to the well-established livestock industry and high adoption rates of innovative breeding technologies. The Asia Pacific region is expected to witness notable growth, primarily driven by the increasing demand for animal protein and the presence of a large sheep and goat population in countries like China and India. Key market players include Agtech, Inc., B&D Genetics, Continental Genetics, LLC, IMV Technologies, Jorgensen Laboratories, MINITUB GMBH, Nasco, Neogen Corporation, SEK Genetics, and Zoetis. These companies are focusing on developing advanced AI solutions, expanding their global presence, and collaborating with research institutions to drive market innovation.
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The dataset contains year-, state-, region- and breed-wise compiled data on total number of livestock animals such as Bovine, Buffalo, Cattle, Sheep, Goats, Mules, Donkeys, Mithun, Pig, Camels, Horses, Ponies, Yak , etc. and poultry birds such as Cock, Hen, Chicken, Quail, Turkey, Layer, Broiler, Duck, Ducklings, Emu, Ostrich, etc., which existed in India during the period of 2012 to 2019. The dataset also contains separate data on population of stray cattle and dogs
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Prevalence of Theileria lestoquardi among various sheep breeds enrolled from district Dera Ghazi Khan.
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N represents the total number of collected samples. % prevalence of Theileria lestoquardi is given in parenthesis. P-value represents the results of Fischer Exact test calculated for each studied parameter.
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IntroductionThe vast genetic diversity of Indian sheep in semi-arid regions remains largely unexplored, posing difficulties in conservation and sustainable management. Genetic characterization is essential for safeguarding these breeds and designing selective breeding strategies to enhance their resilience and productivity. To bridge this knowledge gap, an investigation was undertaken to genetically characterize different populations of semi-arid sheep (Nellore breed Palla, Brown, and Jodipi phenotypic strains, Macherla and Vizianagaram sheep) from India through microsatellite loci and to explore their genetic divergence.MethodsBlood samples and genetic data from five distinct sheep populations were collected from 672 shepherds across 162 flocks. To ensure a thorough genetic characterization, thirty microsatellite markers were utilized. Genetic diversity and population structure were then analyzed using MICROCHECKER, LDNe, STRUCTURE, and Genepop.Results and DiscussionVizianagaram sheep population displayed the highest allele count (276) with a mean allele number of 12.545, while Nellore Palla had the lowest allele count (205) with a mean allele number of 9.318. Private alleles identified in the populations were 22, 33, 48, 57, and 41 for Macherla, Nellore Brown, Nellore Jodipi, Vizianagaram, and Nellore Palla sheep, respectively. The mean observed heterozygosity (Ho) values ranged from 0.587 to 0.732, while the expected heterozygosity (He) values ranged from 0.692 to 0.769 among the populations studied. The microsatellite markers demonstrated a high level of polymorphism, with the Polymorphic Information Content (PIC) value ranging from 0.61 to 0.85. The most notable genetic differentiation among the populations investigated was observed between Vizianagaram and Palla sheep, as evidenced by a high FST value of 0.180. Conversely, the lowest genetic differentiation was recorded between Macherla and Nellore Brown sheep, with an FST value of 0.011. Nei’s unbiased genetic distance varied across populations, with the highest distance observed between Nellore Palla and Vizianagaram sheep (0.926) and the lowest between Macherla and Nellore Brown sheep (0.032), complementing the results of genetic differentiation using FST value. Bottleneck analysis conducted across all populations revealed an abundance of low-frequency alleles, suggesting the absence of recent bottlenecks. Effective population size is optimum in all populations except Nellore Palla and Brown sheep. Structure analysis and factorial correspondence analysis revealed that the five sheep populations under study were distributed into three distinct clusters, with Palla forming a separate cluster. Furthermore, the results of principal component analysis demonstrated that Palla sheep formed a separate sub-cluster within the cluster containing Brown and Macherla sheep. The findings provide valuable insights for conservation and sustainable utilization of the sheep populations for breeding programs.