Cosme D. Cruz

Affiliations: 
Departamento de Biologia Geral, Instituto de Biotecnologia Aplicada à Agropecuária (BIOAGRO) Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil 
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"Cosme Cruz"
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Publications

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Saavedra LM, Caixeta ET, Barka GD, et al. (2023) Marker-Assisted Recurrent Selection for Pyramiding Leaf Rust and Coffee Berry Disease Resistance Alleles in L. Genes. 14
da Silva Júnior AC, Sant'Anna IC, Silva Siqueira MJ, et al. (2022) Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice. Plos One. 17: e0259607
Nardino M, Barros WS, Olivoto T, et al. (2020) Multivariate diallel analysis by factor analysis for establish mega-traits. Anais Da Academia Brasileira De Ciencias. 92: e20180874
Setotaw TA, Caixeta ET, Zambolim EM, et al. (2020) Genome Introgression of Híbrido de Timor and Its Potential to Develop High Cup Quality C. arabica Cultivars The Journal of Agricultural Science. 12: 64
Sant'Anna IdC, Silva GN, Nascimento M, et al. (2020) Subset selection of markers for the genome-enabled prediction of genetic values using radial basis function neural networks Acta Scientiarum-Agronomy. 43
Junior ACdS, Carneiro VQ, Santos IGd, et al. (2020) Genetic progress over twenty-three years of irrigated rice breeding in southeastern Brazil Acta Scientiarum-Agronomy. 43
Pontes DS, Rosado RDS, Cruz CD, et al. (2020) Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee Acta Scientiarum-Agronomy. 42
Frias YA, Ferreira EA, Cruz VH, et al. (2020) Early selection efficiency for recommendation of Eucalyptus sp. International Journal For Innovation Education and Research. 8: 304-315
Frias YA, Oliveira OGTMd, Dellaqua JVT, et al. (2020) Plant stand failures effect in genetic parameters estimation procedure in Eucalyptus sp. International Journal For Innovation Education and Research. 8: 264-276
Puiatti GA, Cecon PR, Nascimento M, et al. (2020) Nonlinear quantile regression to describe the dry matter accumulation of garlic plants Ciencia Rural. 50: 5
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