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Article

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

BMC plant biology - 28 Feb 2026

Altaf Muhammad Tanveer, Liaqat Waqas, Bedir Mehmet, Cömertpay Gönül, Ali Seyid Amjad, Aasim Muhammad, Nadeem Muhammad Azhar, Baloch Faheem Shehzad

Abstract excerpt

BACKGROUND: Genotypic differences in nitrogen use efficiency strongly influence sorghum growth and yield, highlighting the need for precise and reliable prediction of cultivar responses to nitrogen (N) availability. This study investigates the impact of two N treatments on sorghum cultivars, using artificial intelligence (AI) models for prediction. RESULTS: A randomized complete block design with two treatments:...

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Identifiers

PMID: 41764445
DOI: 10.1186/s12870-026-08434-9
PMCID: PMC13059567

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