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New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.

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Title: New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.
Authors: Sachdeva, Supriya1 (AUTHOR), Singh, Rakesh1 (AUTHOR) rakesh.singh2@icar.gov.in, Maurya, Avantika1 (AUTHOR), Singh, Vikas K2 (AUTHOR), Singh, Uma Maheshwar3 (AUTHOR), Kumar, Arvind4 (AUTHOR), Singh, Gyanendra Pratap5 (AUTHOR)
Source: BMC Plant Biology. 2/16/2024, Vol. 24 Issue 1, p1-18. 18p.
Database: Academic Search Ultimate
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An: 175782719
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  Data: New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Plant+Biology%22">BMC Plant Biology</searchLink>. 2/16/2024, Vol. 24 Issue 1, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175782719
RecordInfo BibRecord:
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        Value: 10.1186/s12870-024-04810-5
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        Text: English
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      – TitleFull: New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.
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              Text: 2/16/2024
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              Y: 2024
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