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Machine learning approaches to identify genetic markers for goat climatic adaptation.

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Title: Machine learning approaches to identify genetic markers for goat climatic adaptation.
Authors: Chinnareddyvari, Chandana Sree1,2 (AUTHOR), Dharamshaw, C. A.1,2 (AUTHOR), Prashanthini, S. R.1,2 (AUTHOR), Singh, Sanjeev1 (AUTHOR), Dixit, Satpal1 (AUTHOR) dixitsp@gmail.com, Kanaka, K. K.3 (AUTHOR), Ganguly, Anita4 (AUTHOR), Goli, Rangasai Chandra1,2 (AUTHOR), Haritha, Pala1,2 (AUTHOR), Jat, Babu Lal1,2 (AUTHOR), Vijh, Ramesh Kumar1 (AUTHOR), Arora, Reena5 (AUTHOR), Ahlawat, Sonika5 (AUTHOR), Bhatia, A. K.6 (AUTHOR), Ganguly, Indrajit1 (AUTHOR) drindrajit@gmail.com
Source: 3 Biotech. 6/27/2026, Vol. 16 Issue 7, p1-20. 20p.
Database: Academic Search Ultimate
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An: 194893721
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Machine learning approaches to identify genetic markers for goat climatic adaptation.
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  Data: <searchLink fieldCode="JN" term="%223+Biotech%22">3 Biotech</searchLink>. 6/27/2026, Vol. 16 Issue 7, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194893721
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        Value: 10.1007/s13205-026-04921-w
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      – Code: eng
        Text: English
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        PageCount: 20
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      – TitleFull: Machine learning approaches to identify genetic markers for goat climatic adaptation.
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              M: 06
              Text: 6/27/2026
              Type: published
              Y: 2026
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