Random regression
Buffalos milk yield analysis using random regression models
... compare random regression models for estimating variance components and pre- dicting breeding values of the ...The random regression models included the effects of herd-year, month of parity ...
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Analysis of longitudinal data of Nellore cattle from performance test at pasture using random regression model
... This study was carried out to estimate (co)variance components and genetic parameters for live weight of Nellore cattle from Performance Test of Young Bulls using random regression models. Data of weights ...
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Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows
... There are different functions that can be used to it the yield trajectory. Among those used in random regression, the ones most often used are parametric functions and Legendre orthogonal polynomials. ...
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Breeding value accuracy estimates for growth traits using random regression and multi-trait models in Nelore cattle
... Generally, in beef cattle, breeding values for growth traits are predicted by inite models using multi-trait analyses (MT). For itting these models, weights are standardized to speciic ages and the weights that are out ...
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MODELOS DE REGRESSÃO ALEATÓRIA PARA CARACTERÍSTICA DE CRESCIMENTO EM BOVINOS DA RAÇA GUZERÁ RANDOM REGRESSION MODELS FOR GROWTH TRAIT IN GUZERA CATTLE
... yearling weight (550 days of age) in Guzerá cattle, using random regression models. Data set from animals (male and female) born between 1993 and 2011 belonging to ten farms in seven Brazilian States were ...
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Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model
... Random regression models also permit inferences re- garding the genetic aspects of the lactation ...natively, random regression coefficient functions provide the genetic merit of animals ...
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Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
... used random regression models in analyses of data by considering the direct additive genetic (DA) and permanent environmental effects of the animal (PE) as random ...
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Estimation of genetic parameters for partial egg production periods by means of random regression models
... models. Random regression mod- els (RRMs) are linear models, also known as inite-dimension models, are used to evaluate initial milk production in dairy cows (Jamrozik et ...
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Random regression models for the evaluation of the growth of goats of the Anglonubian breed
... the random regression did not imply improved fitting of the model to the ...all random effects considered was that which provided the best and most parsimonious ...
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Variance component estimates applying random regression models for test-day milk yield in Caracu heifers ( Bos taurus Artiodactyla, Bovidae)
... Random regression models (RRM) were used to estimate covariance functions for 2,155 first-lactation milk yields of native Brazilian Caracu ...a random regression model and Legendre polynomials ...
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Combining different functions to describe milk, fat and protein yield in goats using bayesian multiple- trait random regression models
... Thus, an alternative to improve the efficiency of milk yield, fat and protein percent in dairy goat herds is through genetic breeding, whose the success also depends on the improvement of statistical methods used for the ...
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Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests
... animal. Random regression models are often more appropriate for genetic evaluation of body weight because they describe phenotypic and genetic changes over ...
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Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding
... using random regression models fitted through Legendre polynomials (Resende et ...2014). Random regression models involve a parsimonious covariance structure that provides predicted genetic ...
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GENETIC PARAMETERS FOR POST WEANING GROWTH OF NELLORE CATTLE USING POLINOMYALS AND TRIGONOMETRIC FUNCTIONS IN RANDOM REGRESSION MODELS
... consider random regression models that assume additive genetic and animal permanent environment effect coefficients as random ...using random regression models in which the or- ...
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Weight evaluation of Tabapuã cattle raised in northeastern Brazil using random-regression models
... The random-regression models, used for the evaluation of longitudinal data, such as growth characteristics, are even more accurate than uni ...adjust random- regression models, a covariance ...
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Reliability of breeding values between random regression and 305-day lactation models
... from random regression models (RRF4 and ...from random regression models (RRP4 and RRP5), was higher in mid-lactation (90 to 270 days in milk) than that for 305-day yield estimated by 305- day ...
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Genetic evaluation for large data sets by random regression models in Nellore cattle
... Expected progeny differences (EPD) of Nellore cattle estimated by random regression model (RRM) and multiple trait model (MTM) were compared. Genetic evaluation data included 3,819,895 records of up nine ...
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Genetic evaluation studies in Tabapuã cattle breed using random regression models-Review
... Another advantage of these models is to estimate with greater accuracy the genetic and phenotypic covariance components, as they consider measurement over the time, using information from all the observations, therefore ...
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APPLICATION OF RANDOM REGRESSION MODELS FOR GROWTH TRAITS OF NELLORE CATTLE IN BRAZIL
... Random regression models have become standard in analyses of data arisen from animal production systems, especially in the last decade (HENDERSON JUNIOR, 1982; LAIRD and WARE, ...
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Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
... the random regression test day ...the random regres- sion test day model not only improves the accuracy of genetic evaluations but can also evaluate persistency be- cause the estimated breeding value ...
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