搜索结果: 1-15 共查到“生物学 regression”相关记录23条 . 查询时间(0.078 秒)
Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models
body weight genetic parameters growth curves
2018/11/23
We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to des...
Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
Holstein Dairy Cattle Milk Protein Yields Random Regression Model Test-day Records
2016/12/28
The objective of this study was to estimate the genetic parameters of milk protein yields in Iranian Holstein dairy cattle. A total of 1,112,082 test-day milk protein yield records of 167,269 first la...
Investigations on Genetic Architecture of Hairy Loci in Dairy Cattle by Using Single and Whole Genome Regression Approaches
Genome Wide Association Analyses Discordant Sib Pair Analyses Whole Genome Regression Analyses
2016/7/27
Development of body hair is an important physiological and cellular process that leads to better adaption in tropical environments for dairy cattle. Various studies suggested a major gene and, more re...
Estimation of Genetic Parameters for First Lactation Monthly Test-day Milk Yields using Random Regression Test Day Model in Karan Fries Cattle
Test-day Milk Yield Random Regression Model Heritability Genetic Correlation Karan Fries Cattle
2016/7/27
A single trait linear mixed random regression test-day model was applied for the first time for analyzing the first lactation monthly test-day milk yield records in Karan Fries cattle. The test-day mi...
Random Regression Models Are Suitable to Substitute the Traditional 305-Day Lactation Model in Genetic Evaluations of Holstein Cattle in Brazil
Legendre Polynomials 305-Day Milk Yield Breeding Values Reliability Brazilian Holstein
2016/7/27
The aim of this study was to compare two random regression models (RRM) fitted by fourth (RRM4) and fifth-order Legendre polynomials (RRM5) with a lactation model (LM) for evaluating Holstein cattle i...
Models for Estimating Genetic Parameters of Milk Production Traits Using Random Regression Models in Korean Holstein Cattle
Random Regression Model Test Day Yield Milk Production Heritability Holstein
2016/5/20
The objectives of the study were to estimate genetic parameters for milk production traits of Holstein cattle using random regression models (RRMs), and to compare the goodness of fit of various RRMs ...
Using multivariate adaptive regression splines to predict the distributions of New Zealand’s freshwater diadromous fish
distribution environment fish fresh-water MARS
2015/8/21
Relationships between probabilities of occurrence for fifteen diadromous fish species and environmental variables characterising their habitat in fluvial waters were explored using an extensive collec...
Variation in demersal fish species richness in the oceans surrounding New Zealand:an analysis using boosted regression trees
Demersal fish Species richness Boosted regression trees Statistical model
2015/8/21
We analysed relationships between demersal fish species richness, environment and trawl characteristics using an extensive collection of trawl data from the oceans around New Zealand. Analyses were ca...
Penalized Logistic Regression for Detecting Gene Interactions
Penalized Logistic Regression Detecting Gene Interactions
2015/8/21
We propose using a variant of logistic regression with L2 regularization to fit genegene and gene-environment interaction models. Studies have shown that many common diseases are influenced by interac...
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
Distribution Environment Fish Freshwater Generalized additive model Multivariate adaptive regression splines
2015/8/21
Two statistical modelling techniques, generalized additive models (GAM) and multivariate adaptive regression splines (MARS), were used to analyse relationships between the distributions of 15 freshwat...
A working guide to boosted regression trees
data mining machine learning model averaging random forests species distributions
2015/8/21
A working guide to boosted regression trees.
We show in an idealized model that the narrow sense (linear) heritability from d autosomal SNPs can be estimated without bias from n independently sampled individuals, by a method of moments strategy ...
Genetic Parameters for Milk Yield and Lactation Persistency Using Random Regression Models in Girolando Cattle
Lactation Persistency Legendre’s Polynomials Random Regression Model Cattle
2016/5/19
A total of 32,817 test-day milk yield (TDMY) records of the first lactation of 4,056 Girolando cows daughters of 276 sires, collected from 118 herds between 2000 and 2011 were utilized to estimate the...
Genetic Analysis of Milk Yield in First-Lactation Holstein Friesian in Ethiopia: A Lactation Average vs Random Regression Test-Day Model Analysis
Dairy Cattle Genetic Parameters Random Regression Test-Day Model Test-Day Records
2016/5/18
The development of effective genetic evaluations and selection of sires requires accurate estimates of genetic parameters for all economically important traits in the breeding goal. The main objective...
Genomic Selection for Adjacent Genetic Markers of Yorkshire Pigs Using Regularized Regression Approaches
Pig, Litter Size Single Nucleotide Polymorphism Regularized Regression
2016/5/17
This study considers a problem of genomic selection (GS) for adjacent genetic markers of Yorkshire pigs which are typically correlated. The GS has been widely used to efficiently estimate target varia...