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