G. N. Silva

发表

Methods for selecting peach cultivars in the tropics

C. Cruz, M. Olmstead, R. Pio, 2019, Scientia Horticulturae.

GENOME-ENABLED PREDICTION OF GENETIC VALUES FOR USING RADIAL BASIS FUNCTION NEURAL NETWORKS

C. F. Azevedo, C. Cruz, L. Glória, 2020, Functional Plant Breeding Journal.

Genomic prediction through machine learning and neural networks for traits with epistasis

A. Borém, M. Nascimento, C. F. Azevedo, 2022, Computational and structural biotechnology journal.

Multigenerational prediction of genetic values using genome-enabled prediction

C. Cruz, M. Nascimento, V. Q. Carneiro, 2019, PloS one.

DURATION OF THE PHENOLOGICAL STAGES OF PEACH TREES AT TROPICSDuration of the phenological stages of peach trees at tropics

C. Cruz, M. Olmstead, R. Pio, 2020 .

Computational intelligence to study the importance of characteristics in flood-irrigated rice

C. Cruz, M. Nascimento, P. Soares, 2022, Acta Scientiarum. Agronomy.

Artificial neural networks compared with Bayesian generalized linear regression for leaf rust resistance prediction in Arabica coffee

C. Cruz, M. Nascimento, Dênia Pires de Almeida, 2017 .

Neural networks for predicting breeding values and genetic gains

Leonardo Lopes Bhering, Cosme Damião Cruz, Moysés Nascimento, 2014 .

Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms

Gabi Nunes Silva, C. F. Azevedo, C. Cruz, 2021 .

Prediction of the importance of auxiliary traits using computational intelligence and machine learning: A simulation study

C. Cruz, M. Nascimento, Michele Jorge da Silva, 2021, PloS one.

A novel fuzzy approach to identify the phenotypic adaptability of common bean lines

C. Cruz, M. Nascimento, V. Q. Carneiro, 2023, Acta Scientiarum. Agronomy.

Comparison of projection of distance techniques for genetic diversity studies

C. Cruz, M. Nascimento, V. Q. Carneiro, 2019 .