Source: Functional Plant Breeding Journal. Unidade: ICMC
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, AGRICULTURA DE PRECISÃO, GENOMAS, BIOMARCADORES, ARROZ
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CRUZ, Agnes Cardoso da et al. Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology. Functional Plant Breeding Journal, v. 7, n. Ja-Dec. 2025, p. 01-12, 2025Tradução . . Disponível em: http://fpbjournal.com/fpbj/index.php/fpbj/article/view/225. Acesso em: 05 jan. 2026.APA
Cruz, A. C. da, Narciso, M. G., Cerri, R., Valdisser, P. A., Messias, L. M. G., Funicheli, B. O., et al. (2025). Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology. Functional Plant Breeding Journal, 7( Ja-Dec. 2025), 01-12. Recuperado de http://fpbjournal.com/fpbj/index.php/fpbj/article/view/225NLM
Cruz AC da, Narciso MG, Cerri R, Valdisser PA, Messias LMG, Funicheli BO, Vianello RP, Brondani C. Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology [Internet]. Functional Plant Breeding Journal. 2025 ; 7( Ja-Dec. 2025): 01-12.[citado 2026 jan. 05 ] Available from: http://fpbjournal.com/fpbj/index.php/fpbj/article/view/225Vancouver
Cruz AC da, Narciso MG, Cerri R, Valdisser PA, Messias LMG, Funicheli BO, Vianello RP, Brondani C. Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology [Internet]. Functional Plant Breeding Journal. 2025 ; 7( Ja-Dec. 2025): 01-12.[citado 2026 jan. 05 ] Available from: http://fpbjournal.com/fpbj/index.php/fpbj/article/view/225
