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The study was conducted on 38,000 36-week-old chickens of the "ROSS-308" breed. The results of a clinical study of the drug "Amoxyantare" in cases of bacterial etiology diseases in poultry are presented. Bacteriological examinations of pathological material from deceased chickens revealed the following pathogens: Staphylococcus aureus, Enterobacter agglomerans, Proteus mirabilis, and Escherichia coli. To evaluate the efficacy of the drug, four experimental groups were simultaneously formed, consisting of 4000, 13,000, 15,000, and 6000 birds, respectively. The chickens were administered Amoxyantare at a daily dose of 17.5-35 mg per 1 kg of body weight for 3-5 days. The effectiveness of the drug was assessed based on the disappearance of clinical signs of the disease and the absence of disease agents in the biomaterial after the last administration of the drug. The obtained results indicate the high efficacy of the Amoxyantare drug against Staphylococcus aureus, Enterobacter agglomerans, Proteus mirabilis, and Escherichia coli, with no observed side effects on the birds at the specified dosage.
The study was conducted on 38,000 36-week-old chickens of the "ROSS-308" breed. The results of a clinical study of the drug "Amoxyantare" in cases of bacterial etiology diseases in poultry are presented. Bacteriological examinations of pathological material from deceased chickens revealed the following pathogens: Staphylococcus aureus, Enterobacter agglomerans, Proteus mirabilis, and Escherichia coli. To evaluate the efficacy of the drug, four experimental groups were simultaneously formed, consisting of 4000, 13,000, 15,000, and 6000 birds, respectively. The chickens were administered Amoxyantare at a daily dose of 17.5-35 mg per 1 kg of body weight for 3-5 days. The effectiveness of the drug was assessed based on the disappearance of clinical signs of the disease and the absence of disease agents in the biomaterial after the last administration of the drug. The obtained results indicate the high efficacy of the Amoxyantare drug against Staphylococcus aureus, Enterobacter agglomerans, Proteus mirabilis, and Escherichia coli, with no observed side effects on the birds at the specified dosage.
High-tech startups face a number of insurmountable problems that prevent them from turning innovative ideas into new products. The article investigates the managerial aspects of implementation and commercialization of high-tech startups in Russia using the case of an automated computer vision analytical system for industrial poultry farming. Entrepreneurship theory and the concept of strategic management constitute the theoretical basis of the study. Among the research methods used in the paper are the POCD framework in combination with SWOT analysis involved in the formation of startup management strategies, as well as Sandelovsky and Barroso’s Meta-Synthesis method applied to identify factors that determine the successful implementation of a startup. The empirical evidence of the work was a bank of video data collected at the VNITIP Federal Research Center of the Russian Academy of Sciences and covering the full life cycle of broiler chickens. The paper established three main sources of funding for high-tech start-ups to introduce machine vision systems in the poultry industry: the state, industrial corporations, and venture capital. At that, none of the enterprises, including the global leaders, has yet reached the IPO stage. We identify two central lines to launch and commercialize a Russian start-up in poultry farming, these are association with developers of integrated digital solutions and/or integration with poultry meat producers. Recommendations are formulated regarding the implementation of a high-tech start-up: to form a public-private partnership, actively interact with research centers and universities, cooper ate with business angels, expand the entrepreneurial competencies of startupers, and clarify the business model of the project. The mass introduction of machine vision technology in the poultry industry is possible due to the acceleration of technological progress and the elimination of the main obstacle, i.e., the high cost of components for machine vision systems.
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