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Correction: Population structure, genetic diversity, and GWAS analyses with GBS-derived SNPs and silicodart markers unveil genetic potential for breeding and candidate genes for agronomic and root quality traits in an international sugar beet germplasm collection

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Title: Correction: Population structure, genetic diversity, and GWAS analyses with GBS-derived SNPs and silicodart markers unveil genetic potential for breeding and candidate genes for agronomic and root quality traits in an international sugar beet germplasm collection
Authors: Bahjat, Noor Maiwan1 (AUTHOR), Yıldız, Mehtap1 (AUTHOR) mehtapyildiz@gmail.com, Nadeem, Muhammad Azhar2,3 (AUTHOR), Morales, Andres4,5 (AUTHOR), Wohlfeiler, Josefina6 (AUTHOR), Baloch, Faheem Shahzad2,7 (AUTHOR), Tunçtürk, Murat8 (AUTHOR), Koçak, Metin1 (AUTHOR), Chung, Yong Suk7 (AUTHOR), Grzebelus, Dariusz9 (AUTHOR), Sadik, Gökhan1 (AUTHOR), Kuzğun, Cansu1 (AUTHOR), Cavagnaro, Pablo Federico6,9 (AUTHOR) cavagnaro.pablo@inta.gob.ar
Source: BMC Plant Biology. 5/21/2025, Vol. 25 Issue 1, p1-7. 7p.
Database: Academic Search Ultimate
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  Data: Correction: Population structure, genetic diversity, and GWAS analyses with GBS-derived SNPs and silicodart markers unveil genetic potential for breeding and candidate genes for agronomic and root quality traits in an international sugar beet germplasm collection
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  Data: <searchLink fieldCode="JN" term="%22BMC+Plant+Biology%22">BMC Plant Biology</searchLink>. 5/21/2025, Vol. 25 Issue 1, p1-7. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185281694
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        Value: 10.1186/s12870-025-06525-7
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        Text: English
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