Results 11 to 20 of about 63,643 (106)
bioRxiv, 2022 Efficient computing techniques allow the estimation of variance components for virtually any traditional dataset. When genomic information is available, variance components can be estimated using genomic REML (GREML).
V. S. Junqueira +6 more
semanticscholar +1 more source
Journal of Applied Animal Research, 2022 Bayesian and average information restricted maximum likelihood (AI-REML) approaches were used to estimate variance components and genetic parameters of Wood’s lactation curve parameters of milk production traits in three lactations of Iranian Holstein ...
K. Radjabalizadeh +3 more
semanticscholar +1 more source
LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY
Revista Caatinga, 2022 - Based on its nutritional and economic value, the lima bean (Phaseolus lunatus L.) is the second most important species of the genus. It has high genetic diversity and potential for production and is considered an alternative food and income source. The
Jhessica Lanna Rodrigues DE Carvalho +5 more
semanticscholar +1 more source
PLANTROPICA: Journal of Agricultural Science, 2022 In order to build a mathematical model that can provide an overview of plant growth, a qualified analysis is needed. It is hoped that the resulting model will be able to assist researchers and other parties in assessing plant growth, especially peanuts ...
Arie Purwanto, Umul Aiman
semanticscholar +1 more source
Structured additive regression for multicategorical space-time data: A mixed model approach [PDF]
, 2004 In many practical situations, simple regression models suffer from the fact that the dependence of responses on covariates can not be sufficiently described by a purely parametric predictor.
Fahrmeir, Ludwig, Kneib, Thomas
core +1 more source
Use of the REML/BLUP methodology for the selection of sweet orange genotypes
Pesquisa Agropecuária Brasileira, 2021 : The objective of this work was to select superior sweet orange (Citrus sinensis) genotypes with higher yield potential based on data from eight harvests, using the residual or restricted maximum likelihood/best linear unbiased prediction (REML/BLUP ...
M. C. Capistrano +6 more
semanticscholar +1 more source
Modelling global annual N2O and NO emissions from fertilized fields [PDF]
, 2002 Information from 846 N2O emission measurements in agricultural fields and 99 measurements for NO emissions was used to describe the influence of various factors regulating emissions from mineral soils in models for calculating global N2O and NO emissions.
Batjes, N.H. +2 more
core +2 more sources
, 2021 The aim of this work was to estimate genetic parameters and predict genetic progress via selection indexes using the REML / BLUP methodology in a population of sour passion fruit under recurrent intra-population selection.
Dhiego Pereira Krause +6 more
semanticscholar +1 more source
Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting [PDF]
, 2011 With the emergence of semi- and nonparametric regression the generalized linear mixed model has been expanded to account for additive predictors. In the present paper an approach to variable selection is proposed that works for generalized additive mixed
Groll, Andreas, Tutz, Gerhard
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Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation [PDF]
, 2012 We consider a particular maximum likelihood estimator (MLE) and a computationally-intensive Bayesian method for differentially private estimation of the linear mixed-effects model (LMM) with normal random errors.
Abowd, John M. +2 more
core +3 more sources