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Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models. Authorship: SUELA, M. M.; AZEVEDO, C. F.; NASCIMENTO, A. C. C.; MOMEN, M.; OLIVEIRA, A. C. B. de; CAIXETA, E. T.; MOROTA, G.; NASCIMENTO, M. Yield is one of the most important traits of arabica coffee. Plant breeders seek to maximize yield directly or indirectly, using other related traits. The standard multi-trait genome-wide association... ... Repository: BDPA Publication year: 2023
Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle. Authorship: NOVAIS, F. J. DE; YU, H.; CESAR, A. S. M.; MOMEN, M.; POLETI, M. D.; PETRY, B.; MOURÃO, G. B.; REGITANO, L. C. de A.; MOROTA, G.; COUTINHO, L. L. Data integration using hierarchical analysis based on the central dogma or common pathway enrichment analysis may not reveal non-obvious relationships among omic data. Here, we applied factor analysis... ... Repository: BDPA Publication year: 2022

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