Multivariate analysis and machine learning prediction of Sorghum cultivar traits under nitrogen regulation.

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Title: Multivariate analysis and machine learning prediction of Sorghum cultivar traits under nitrogen regulation.
Authors: Altaf MT; Department of Field Crops, Faculty of Agriculture, Recep Tayyip Erdoğan University, Pazar, Rize, 53300, Türkiye. muhammadtanveer.altaf@erdogan.edu.tr., Liaqat W; Department of Field Crops, Faculty of Agriculture, Recep Tayyip Erdoğan University, Pazar, Rize, 53300, Türkiye. waqasliaqat0043@gmail.com., Bedir M; Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, 58140, Türkiye., Cömertpay G; Eastern Mediterranean Agricultural Research Institute, Adana, 01370, Türkiye., Ali SA; Department of Information Systems and Technologies, Bilkent University, Ankara, 06800, Türkiye., Aasim M; Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, 58140, Türkiye., Nadeem MA; Department of Biotechnology, Faculty of Science, Mersin University, Yenişehir, Mersin, 33343, Türkiye., Baloch FS; Department of Biotechnology, Faculty of Science, Mersin University, Yenişehir, Mersin, 33343, Türkiye.; Institute of Biochemistry, Department of Genetics, Sh. Rashidov Samarkand State University, Samarkand, 140104, Uzbekistan.
Source: BMC plant biology [BMC Plant Biol] 2026 Feb 28; Vol. 26 (1). Date of Electronic Publication: 2026 Feb 28.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Multivariate analysis and machine learning prediction of Sorghum cultivar traits under nitrogen regulation.
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  Data: <searchLink fieldCode="AU" term="%22Altaf+MT%22">Altaf MT</searchLink>; Department of Field Crops, Faculty of Agriculture, Recep Tayyip Erdoğan University, Pazar, Rize, 53300, Türkiye. muhammadtanveer.altaf@erdogan.edu.tr.<br /><searchLink fieldCode="AU" term="%22Liaqat+W%22">Liaqat W</searchLink>; Department of Field Crops, Faculty of Agriculture, Recep Tayyip Erdoğan University, Pazar, Rize, 53300, Türkiye. waqasliaqat0043@gmail.com.<br /><searchLink fieldCode="AU" term="%22Bedir+M%22">Bedir M</searchLink>; Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, 58140, Türkiye.<br /><searchLink fieldCode="AU" term="%22Cömertpay+G%22">Cömertpay G</searchLink>; Eastern Mediterranean Agricultural Research Institute, Adana, 01370, Türkiye.<br /><searchLink fieldCode="AU" term="%22Ali+SA%22">Ali SA</searchLink>; Department of Information Systems and Technologies, Bilkent University, Ankara, 06800, Türkiye.<br /><searchLink fieldCode="AU" term="%22Aasim+M%22">Aasim M</searchLink>; Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, 58140, Türkiye.<br /><searchLink fieldCode="AU" term="%22Nadeem+MA%22">Nadeem MA</searchLink>; Department of Biotechnology, Faculty of Science, Mersin University, Yenişehir, Mersin, 33343, Türkiye.<br /><searchLink fieldCode="AU" term="%22Baloch+FS%22">Baloch FS</searchLink>; Department of Biotechnology, Faculty of Science, Mersin University, Yenişehir, Mersin, 33343, Türkiye.; Institute of Biochemistry, Department of Genetics, Sh. Rashidov Samarkand State University, Samarkand, 140104, Uzbekistan.
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  Data: <searchLink fieldCode="JN" term="%22100967807%22">BMC plant biology</searchLink> [BMC Plant Biol] 2026 Feb 28; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Feb 28.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100967807 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2229 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712229%22">14712229 </searchLink><i>NLM ISO Abbreviation: </i>BMC Plant Biol <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12870-026-08434-9
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              Text: 2026 Feb 28
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