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A comparison of regression methods based on dimensional reduction for genomic prediction. Author(s): COSTA, J. A. da; AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F. e; RESENDE, M. D. V. de; NASCIMENTO, A. C. C. multicollinearity and high dimensionality problems, making it impossible to obtain stable estimates through the traditional method of estimation based on ordinary least squares. To overcome such chall... ... Repository: BDPA Publication year: 2021
Genetic evaluation for persistency of lactation in Holstein cows using a random regression model. A model for analyzing test day records including both fixed and random coefficients was applied to the genetic evaluation of first lactation data for Holstein cows. Data comprising 87045 test-day milk... ... Repository: BDPA Publication year: 2007
Regularized quantile regression for SNP marker estimation of pig growth curves. Author(s): RESENDE, M. D. V. de Background: Genomic growth curves are generally defined only in terms of population mean; an alternative approach that has not yet been exploited in genomic analyses of growth curves is the Quantile R... ... Repository: BDPA Publication year: 2017
Regularized quantile regression applied to genome-enabled prediction of quantitative traits. Author(s): RESENDE, M. D. V. de Genomic selection (GS) is a variant of marker-assisted selection, in which genetic markers covering the whole genome predict individual genetic merits for breeding. GS increases the accuracy of breedi... ... Repository: BDPA Publication year: 2017
Truncated beta nonlinear regression models for soil-water characteristic curves estimation. Author(s): MAIA, A. de H. N.; RODRIGUES, L. N. We propose an alternative approach for estimating soil-water characteristic curves based on truncated beta nonlinear regression models. Thus, assuming that the response variable follows a truncated be... ... Repository: BDPA Publication year: 2013
Population size in QTL detection using quantile regression in genome?wide association studies. Author(s): RESENDE, M. D. V. de The aim of this study was to evaluate the performance of Quantile Regression (QR) in Genome-Wide Association Studies (GWAS) regarding the ability to detect QTLs (Quantitative Trait Locus) associated w... ... Repository: BDPA Publication year: 2023
Brachiaria plantaginea as a potential (new) source of shikimic acid: quantification by NIR and PLS regression. Author(s): COSTA, M. C. A.; MATALLO, M. B.; FERREIRA, M. M. C.; QUEIROZ, S. C. do N. de; ALMEIDA, S. D. B.; FRANCO, D. A. S. Abstract: Shikimic acid is a natural organic compound produced in the biochemical pathways of eukaryotic organisms and is generally utilized as a starting material of the antiviral drug Oseltamivir (T... ... Repository: BDPA Publication year: 2016
Prediction of topsoil texture through regression trees and multiple linear regressions. Author(s): CARVALHO JUNIOR, W. de; CHAGAS, C. da S. Users of soil survey products are mostly interested in understanding how soil properties vary in space and time. The aim of digital soil mapping (DSM) is to represent the spatial variability of soil p... ... Repository: BDPA Publication year: 2018
Deep learning regression approaches applied to estimate tillering in tropical forages using mobile phone images. Author(s): SANTOS; MARCATO JUNIOR, J.; ZAMBONI, P.; SANTOS, M. F.; JANK, L.; CAMPOS, E.; MATSUBARA, E. T. We assessed the performance of Convolutional Neural Network (CNN)-based approaches using mobile phone images to estimate regrowth density in tropical forages. We generated a dataset composed of 1124 l... ... Repository: BDPA Publication year: 2022
Genetic parameters for test day milk yields of first lactation Holstein cows by random regression models. Covariance components for test day milk yield using 263 390 first lactation records of 32 448 Holstein cows were estimated using random regression animal models by restricted maximum likelihood. Three... ... Repository: BDPA Publication year: 2007

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