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 Author(s): COSTA, W. G. da; BARBOSA, I. de P.; SOUZA, J. E. de; CRUZ, C. D.; NASCIMENTO, M.; OLIVEIRA, A. C. B. de Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain. Determining the influence of these factors is of... ... |
 Author(s): BARRETO, C. A. V.; DIAS, K. O. das G.; SOUSA, I. C. de; AZEVEDO, C. F.; NASCIMENTO, A. C. C.; GUIMARAES, L. J. M.; GUIMARÃES, C. T.; PASTINA, M. M.; NASCIMENTO, M. In the context of multi-environment trials (MET), genomic prediction is proposed as a tool that allows the prediction of the phenotype of single cross hybrids that were not tested in field trials. Thi... ... |
 Author(s): SOUSA, I. C. de; NASCIMENTO, M.; SILVA, G. N.; NASCIMENTO, A. C. C.; CRUZ, C. D.; SILVA, F. F. e; ALMEIDA, D. P. de; PESTANA, K. N.; AZEVEDO, C. F.; ZAMBOLIM, L.; CAIXETA, E. T. Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several statistical methodologies have been used in GS for the p... ... |
 Author(s): LOUZADA, R. O.; BERGIER, I.; BOLFE, E. L.; BARBEDO, J. G. A. Abstract: Remote sensing is a crucial tool for soil assessment, yet soil complexity and sensor limitations hinder accurate analysis. This study integrates active and passive remote sensing data with M... ... |
 Author(s): OLIVEIRA, D. A. B.; PEREIRA, L. G. R.; BRESOLIN, T.; FERREIRA, R. E. P.; DREA, J. R. R. In livestock operations, systematically monitoring animal body weight, bio-metric body measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is manually unfeasible due to... ... |
 Author(s): AZEVEDO, C. F.; NASCIMENTO, M.; FONTES, V. C.; SILVA, F. F. e; RESENDE, M. D. V. de; CRUZ, C. D. GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, w... ... |
 Author(s): BOLFE, E. L.; PARREIRAS, T. C.; SILVA, L. A. P. da; SANO, E. E.; BETTIOL, G. M.; VICTORIA, D. de C.; DEL'ARCO SANCHES, I.; VICENTE, L. E. Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado), mainly in the transition between Cerrado and the Amazon Forest, to increase productivity while reducing pre... ... |
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 Author(s): VALADARES, A. P.; COELHO, R. M.; OLIVEIRA, S. R. de M. ABSTRACT:Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full... ... |
 Author(s): TERNES, S.; MOURA, M. F.; SOUZA, K. X. S. de; VAZ, G. J.; OLIVEIRA, S. R. de M.; HIGA, R. H.; LIMA, H. P. de; TAKEMURA, C. M.; COELHO, E. A.; BARBOSA, F. F. L.; VISOLI, M. C.; MENEZES, G. R. de O.; SILVA, L. O. C. da; SANTOS, S. A.; MASSRUHÁ, S. M. F. S.; ABREU, U. G. P. de; SORIANO, B. M. A.; SALIS, S. M.; OLIVEIRA, M. D. de; TOMAS, W. M. Introduction. Artificial intelligence: Automatic soil classification; SiBCS-based expert system; Intelligent soil classification system. Text mining in technical-scientific publications. Mathematical... ... |
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