Sapkota, P.;                     Fonseca, J.;                     Perumal, R.;                     Crossa, J.;                     Rooney, W.L.    
        Near-Infrared Spectroscopy-Based Phenomics Data Can Improve Genomic Prediction of Agronomic and Grain Quality Traits Across Multi-Environment Sorghum Hybrid Trials. Plants 2025, 14, 2871.
    https://doi.org/10.3390/plants14182871
    AMA Style
    
                                Sapkota P,                                 Fonseca J,                                 Perumal R,                                 Crossa J,                                 Rooney WL.        
                Near-Infrared Spectroscopy-Based Phenomics Data Can Improve Genomic Prediction of Agronomic and Grain Quality Traits Across Multi-Environment Sorghum Hybrid Trials. Plants. 2025; 14(18):2871.
        https://doi.org/10.3390/plants14182871
    
    Chicago/Turabian Style
    
                                Sapkota, Pradip,                                 Jales Fonseca,                                 Ramasamy Perumal,                                 José Crossa,                                 and William L. Rooney.        
                2025. "Near-Infrared Spectroscopy-Based Phenomics Data Can Improve Genomic Prediction of Agronomic and Grain Quality Traits Across Multi-Environment Sorghum Hybrid Trials" Plants 14, no. 18: 2871.
        https://doi.org/10.3390/plants14182871
    
    APA Style
    
                                Sapkota, P.,                                 Fonseca, J.,                                 Perumal, R.,                                 Crossa, J.,                                 & Rooney, W. L.        
        
        (2025). Near-Infrared Spectroscopy-Based Phenomics Data Can Improve Genomic Prediction of Agronomic and Grain Quality Traits Across Multi-Environment Sorghum Hybrid Trials. Plants, 14(18), 2871.
        https://doi.org/10.3390/plants14182871