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6. Antimicrobial Usage in Animal Production Systems

Author

Manimaran, Ayyasamy, Kumaresan, Arumugam, Sejian, Veerasamy, Mothadaka, Mukteswar Prasad, editor, Vaiyapuri, Murugadas, editor, Rao Badireddy, Madhusudana, editor, Nagarajrao Ravishankar, Chandragiri, editor, Bhatia, Rajesh, editor, and Jena, Joykrushna, editor

Published
2023
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8. Goat as the Ideal Future Climate Resilient Animal Model

Author

Sejian, Veerasamy, Silpa, M. V., Reshma Nair, M. R., Devaraj, Chinnasamy, Devapriya, A., Ramachandran, N., Awachat, V. B., Shashank, C. G., Fonsêca, Vinícius F. C., Bhatta, Raghavendra, Sejian, Veerasamy, editor, Chauhan, Surinder Singh, editor, Devaraj, Chinnasamy, editor, Malik, Pradeep Kumar, editor, and Bhatta, Raghavendra, editor

Published
2021
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9. Future Vision for Climate Change Associated Livestock Production

Author

Sejian, Veerasamy, Chauhan, Surinder Singh, Devaraj, Chinnasamy, Malik, Pradeep Kumar, Vadhana, E., Silpa, M. V., Shashank, C. G., Bhatta, Raghavendra, Sejian, Veerasamy, editor, Chauhan, Surinder Singh, editor, Devaraj, Chinnasamy, editor, Malik, Pradeep Kumar, editor, and Bhatta, Raghavendra, editor

Published
2021
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17. Behavioural Responses of Domestic Animals for Adapting to Thermal Stress

Author

Fonsêca, Vinícius F. C., Saraiva, Edilson P., dos Santos, José D. C., da Cunha Morais, Larissa Kellen, Nascimento, Sheila T., de Melo Costa, Cíntia C., Moura, Gustavo B., Xavier Neta, Geni Caetano, Bícego, Kênia C., Sejian, Veerasamy, Neto, Marcos Chiquitelli, Maia, Alex S. C., Sejian, Veerasamy, editor, Chauhan, Surinder Singh, editor, Devaraj, Chinnasamy, editor, Malik, Pradeep Kumar, editor, and Bhatta, Raghavendra, editor

Published
2021
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18. Impact of Climate Change on Animal Production and Welfare

Author

Sejian, Veerasamy, Silpa, M. V., Devaraj, Chinnasamy, Trivedi, S., Ezhil Vadhana, P., Ruban, W., Suganthi, R. U., Manimaran, A., Maurya, V. P., Bhatta, Raghavendra, Sejian, Veerasamy, editor, Chauhan, Surinder Singh, editor, Devaraj, Chinnasamy, editor, Malik, Pradeep Kumar, editor, and Bhatta, Raghavendra, editor

Published
2021
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20. Applications of Artificial Intelligence for Heat Stress Management in Ruminant Livestock.

Author

Rebez, Ebenezer Binuni, Sejian, Veerasamy, Silpa, Mullakkalparambil Velayudhan, Kalaignazhal, Gajendirane, Thirunavukkarasu, Duraisamy, Devaraj, Chinnasamy, Nikhil, Kumar Tej, Ninan, Jacob, Sahoo, Artabandhu, Lacetera, Nicola, and Dunshea, Frank Rowland

Subjects
*PRODUCTION losses, *SUSTAINABILITY, *PHYSIOLOGY, *DIGITAL technology, *ARTIFICIAL intelligence
Abstract

Heat stress impacts ruminant livestock production on varied levels in this alarming climate breakdown scenario. The drastic effects of the global climate change-associated heat stress in ruminant livestock demands constructive evaluation of animal performance bordering on effective monitoring systems. In this climate-smart digital age, adoption of advanced and developing Artificial Intelligence (AI) technologies is gaining traction for efficient heat stress management. AI has widely penetrated the climate sensitive ruminant livestock sector due to its promising and plausible scope in assessing production risks and the climate resilience of ruminant livestock. Significant improvement has been achieved alongside the adoption of novel AI algorithms to evaluate the performance of ruminant livestock. These AI-powered tools have the robustness and competence to expand the evaluation of animal performance and help in minimising the production losses associated with heat stress in ruminant livestock. Advanced heat stress management through automated monitoring of heat stress in ruminant livestock based on behaviour, physiology and animal health responses have been widely accepted due to the evolution of technologies like machine learning (ML), neural networks and deep learning (DL). The AI-enabled tools involving automated data collection, pre-processing, data wrangling, development of appropriate algorithms, and deployment of models assist the livestock producers in decision-making based on real-time monitoring and act as early-stage warning systems to forecast disease dynamics based on prediction models. Due to the convincing performance, precision, and accuracy of AI models, the climate-smart livestock production imbibes AI technologies for scaled use in the successful reducing of heat stress in ruminant livestock, thereby ensuring sustainable livestock production and safeguarding the global economy. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Elucidation of the liver proteome in response to an antioxidant intake in rabbits

Author

Akeem Babatunde Sikiru, Arunachalam Arangasamy, Stephen Sunday Acheneje Egena, Sejian Veerasamy, Ippala Janardhan Reddy, and Bhatta Raghavendra

Subjects
Oxidative stress, Chlorella vulgaris, LC-MS, Malondialdehyde, Liver Proteins, Rabbits, Surgery, RD1-811, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Abstract Background Antioxidant intakes are one of the most cherished dietary approaches for the management of oxidative stress-induced liver damages. These antioxidants exist as the bioactive compounds present in plants and other natural sources functioning in varieties of ways from acting as direct scavengers of the free radicals to acting as the modifiers of genes and proteins expressions. Chlorella vulgaris is one of such antioxidants; it is a unicellular microalga and a rich source of polyphenols which has been reported for its capacity of reducing oxidative stress by upregulation of antioxidant genes. However, there are scarce reports on its effect on antioxidant protein expressions and functions in the liver. This situation necessitates untargeted proteomic profiling of the liver due to the antioxidant intakes as carried out in this present study. Sixteen laboratory weaner rabbits of 8 weeks old with initial average bodyweight of 1060 ± 29.42 g were randomly divided into two groups (n = 8 per group); the first group served as control while the second served as the treatment group were used for this study. Results After a period of 120 days daily consumption of 500 mg of Chlorella vulgaris biomass per kg bodyweight of the rabbit models, the animals were sacrificed and their livers were harvested followed by protein extraction for the untargeted proteomic profiling using LC-MS/Orbitrap Fusion Tribrid™ peptides quantifier and sequencer. Also, there was an assessment of the oxidative stress biomarkers in the liver and serum of the rabbits. Five-hundred and forty-four (544) proteins were identified out of which 204 were unique to the control, 198 were unique to the treatment group, while 142 were common to both groups of the rabbits. Antioxidant proteins commonly found in both groups were upregulated in the treatment group and were significantly associated with oxidative stress-protective activities. There was a reduction in oxidative stress biomarkers of the supplemented group as indicated by the assessment of the liver malondialdehyde concentrations (p < 0.05), total antioxidant capacities (p < 0.05), and antioxidant enzyme activities (p < 0.05). Similarly, these biomarkers were significantly reduced in the serum of the supplemented rabbits (p < 0.05). Conclusion The study concluded that Chlorella vulgaris is an antioxidant agent that could be suitable for reducing liver oxidative stress damage and it is a potential drug candidate for protecting the liver against oxidative stress damages as revealed in the rabbit models.

Published
2021
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27. Adaptive Mechanisms of Sheep to Climate Change

Author

Sejian, Veerasamy, Hyder, Iqbal, Maurya, V. P., Bagath, M., Krishnan, G., Aleena, Joy, Archana, P. R., Lees, Angela M., Kumar, Davendra, Bhatta, Raghavendra, Naqvi, S. M. K., Sejian, Veerasamy, editor, Bhatta, Raghavendra, editor, Gaughan, John, editor, Malik, Pradeep Kumar, editor, Naqvi, S.M.K, editor, and Lal, Rattan, editor

Published
2017
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28. Impact of Climate Change on Sheep Reproduction

Author

Kumar, Davendra, De, Kalyan, Sejian, Veerasamy, Naqvi, S. M. K., Sejian, Veerasamy, editor, Bhatta, Raghavendra, editor, Gaughan, John, editor, Malik, Pradeep Kumar, editor, Naqvi, S.M.K, editor, and Lal, Rattan, editor

Published
2017
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30. Adaptation Strategies to Counter Climate Change Impact on Sheep

Author

Sejian, Veerasamy, Samal, Lipismita, Soren, N. M., Bagath, M., Krishnan, G., Vidya, M. K., Archana, P. R., Pragna, Prathap, Hyder, Iqbal, Maurya, V. P., Mortlock, Miranda Y., Bhatta, Raghavendra, Sejian, Veerasamy, editor, Bhatta, Raghavendra, editor, Gaughan, John, editor, Malik, Pradeep Kumar, editor, Naqvi, S.M.K, editor, and Lal, Rattan, editor

Published
2017
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34. Measurement of Severity of Heat Stress in Sheep

Author

Sejian, Veerasamy, Krishnan, G., Bagath, M., Vaswani, Shalini, Pragna, Prathap, Aleena, Joy, Lees, Angela M., Maurya, V. P., Bhatta, Raghavendra, Sejian, Veerasamy, editor, Bhatta, Raghavendra, editor, Gaughan, John, editor, Malik, Pradeep Kumar, editor, Naqvi, S.M.K, editor, and Lal, Rattan, editor

Published
2017
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38. Methane Estimation Methodologies in Sheep

Author

Malik, Pradeep Kumar, Bakshi, Bhoomika S., Sejian, Veerasamy, Zimmerman, Patrik R., Kurihara, M., Bhatta, Raghavendra, Sejian, Veerasamy, editor, Bhatta, Raghavendra, editor, Gaughan, John, editor, Malik, Pradeep Kumar, editor, Naqvi, S.M.K, editor, and Lal, Rattan, editor

Published
2017
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46. Conclusions and Researchable Priorities

Author

Sejian, Veerasamy, Bhatta, Raghavendra, Gaughan, John, Baumgard, Lance, Prasad, Cadaba S., Lal, Rattan, Sejian, Veerasamy, editor, Gaughan, John, editor, Baumgard, Lance, editor, and Prasad, Cadaba, editor

Published
2015
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