Variance components
Variance Components Estimation In Mixed Linear Models
... as variance components, have been widely investigated mainly in the last fifty years of the last century (see Khuri and Sahai [35], Searle ([65], [66]), for example), and thanks to the proliferation of ...
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Estimation of variance components and prediction of breeding values in rubber tree breeding using the REML/BLUP procedure
... The present paper deals with estimation of variance components, prediction of breeding values and selection in a population of rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Müell.-Arg.] from Rio ...
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Estimation of Variance Components and Genetic Parameters for Direct and Maternal Effects on Birth Weight in Brown Swiss Cattle
... Many of the published heritability estimates for birth weight of Brown Swiss breeds were derived from sire models that did not take into account of additive maternal effects. However, no attempt has yet been made to ...
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Estimability of variance components when all model matrices commute
... of variance components in mixed models when all model matrices ...possible variance– covariance matrices forms an orthogonal block structure, then there are the same number of variance ...
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Estimation models of variance components for farrowing interval in swine
... the variance for most traits in swine, including those manifested late in the animals’ life (Robinson, 1972; Irgang et ...of variance components, including those of reproductive traits (Kaufmann et ...
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Confidence regions for variance components using inducing pivot variables
... In the next section we will show how pivot variables induce probability measures in parameter spaces. Then, in section 3, we will show how to use Monte Carlo methods to generate distributions and how to apply these to ...
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Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
... ABSTRACT - The objective of this work was to determine genetic parameters for body weight of tinamou in captivity. It was used random regression models in analyses of data by considering the direct additive genetic (DA) ...
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CHARACTERIZATION AND GENETIC DIVERSITY BETWEEN GUARANA PROGENIES
... estimate variance components for morpho-agronomic traits and yield, and to estimate the genetic diversity among 36 guarana progenies for use in a program of controlled crosses and development of clonal and ...
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Estimates of Genetic Parameters of Production Traits for Khuzestan Buffaloes of Iran using Repeated-Records Animal Model
... Variance components were estimated for each trait using Restricted Maximum Likelihood procedures via a derivative-free algorithm using the repeated-record animal model by DFREML method, using REML ...
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BAR, Braz. Adm. Rev. vol.6 número2
... A well-known, and currently active, line of research in strategy has dealt with a similar question when analyzing the variance components of firm financial performance, using profitability measures. This ...
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Genotype x environment interaction of melon families based on fruit quality traits
... The G x E interaction may be minimized by the use of specific cultivars for each environment, or cultivars with broad adaptability and good stability. Otherwise, the G x E interaction may be minimized by stratification ...
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Single-Trait Bayesian Analysis of Some Growth Traits in Japanese Quail
... estimate variance components date back from Fisher’s study on the inheritance of continuous traits, after which several methods have been developed (Robinson, 1987; Searle et ...
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Genetic parameters and variability in physic nut accessions during early developmental stages
... Variance components and estimates of genetic parameters (Table 1) showed, in general, the existence of genetic variability for the nine physic nut phenotypic characters in the early stage of ...genetic ...
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REPRODUCTIVE TRAITS SELECTION IN NELORE BEEF CATTLE
... Genetic breeding programs of beef cattle in Brazil are including new features, mainly related to reproductive efficiency. Thus, it is necessary to study the effectiveness of selection and quantify genetic gain for these ...
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Estimation in mixed models through three step minimization
... Prior to the early 1990s, most applications used some version of analysis of vari- ance (ANOVA). The sums of squares for an ANOVA table are easily calculated and are unambiguous, see for example LaMotte (1973) and ...
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Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle
... Threshold models usually present certain some prob- lems in estimating variance components and predicting ge- netic values, when there are many levels of fixed effects (Moreno et al., 1997; Varona et al., ...
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Quantitative genetic analysis for meat tenderness trait in Polled Nellore cattle
... (co) variance components and genetic parameters for meat tenderness indicated that most of the genes responsible for the meat tenderness trait (WBSF) have no direct additive genetic ...
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O país tem importância?
... This paper intends to contribute the effort of reducing the above mentioned shortcomings of current knowledge. The first objective is to detect the country influence in the heterogeneity of performance. Drawing from ...
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Parental selection in diallel crosses of Jatropha curcas using mixed models
... of variance components were obtained using the method of restricted maximum likelihood (REML), while breeding values were estimated by using the best linear unbiased prediction ...
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Estimate of genetic parameters for carcass traits and visual scores in meat sheep using Bayesian inference via threshold and linear models
... genetic component estimation methods increased the possibility of choosing among different procedures to estimate (co)variance components, especially of traits that indicated animal nutritional status. Body ...
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