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Paper Title:
Effects of Artificial Insemination (AI) on the Gene Pool of the Bos genera Linnaeus (1758): A Study with Reference to Block Mehadwani, Dindori, Madhya Pradesh, India
The objective of this study was to study the effect of artificial insemination (AI) on the gene pool of the genus Bos Linnaeus (1758). The training session was carried out on artificial insemination and field investigation. The field survey was conducted during the years 2021–2022 to extract realistic data. We found that the Bos race in the area was identified as the local name "Aavnat Nssal." Bos primigenius is the wild ancestor of the domesticated "Avnat Nassl" of Bos. The local indigenous race has yet to be specifically identified and documented. Random sampling, investigation, interviews, training, and demonstration techniques were used to obtain data. The survey data was analysed using the z-test formula, which yielded a criteria-based p-value. The p-values obtained for the level of awareness of artificial insemination were 0.0000063 and 0.0 for the locations of Sarsdoli, Mehadwani, Khamaria, Sudgaon, and Kathotia, respectively. We found significant results with P<0.10 values. The result indicates that Block Mehadwani currently has a 40% population that breeds calves by artificial insemination (AI) extensively. It is interpreted that the intensive use of AI can result in improved genetic advantage as well as genetic diversity, but deteriorates the pure gene pool. As a result, the data suggest that widespread use of AI may deplete the region's indigenous Bos genus gene pool.
"Effects of Artificial Insemination (AI) on the Gene Pool of the Bos genera Linnaeus (1758): A Study with Reference to Block Mehadwani, Dindori, Madhya Pradesh, India", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.1372 - 1377, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208223.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator