There is increasing evidence that heritable variation in gene expression underlies genetic variation in susceptibility to disease. Therefore, a comprehensive understanding of the similarity between relatives for transcript variation is warranted--in particular, dissection of phenotypic variation into additive and non-additive genetic factors and shared environmental effects. We conducted a gene...

In this study phenotypic and genetic factors affecting the reproductive efficiency of Lori-Bakhtiari ewes were determined using 8202 reproductive records of 2478 ewes collected at Shooli research station in the southwestern part of Iran (Shahrekord) during 1989 to 2012. Reproductive efficiency over all consecutive lambing opportunities were calculated by adding the total reproductive efficiency...

Breed additive, dominance, and epistatic loss effects are of concern in the genetic evaluation of a multibreed population. Multiple regression equations used for fitting these effects may show a high degree of multicollinearity among predictor variables. Typically, when strong linear relationships exist, the regression coefficients have large SE and are sensitive to changes in the data file and...

objective: estimation of genetic parameters for kleiber ratio (kr) and genetic trends for pre-weaning weights of arabi sheep has not been previously conducted.methods: data and pedigree information were collected at the khuzestan ramin agricultural and natural resources university, animal science research station, located in southwest iran, from 2001 to 2008. (co)variance components and corresp...

Additive genetic variance in natural populations is commonly estimated using mixed models, in which the covariance of the genetic effects is modeled by a genetic similarity matrix derived from a dense set of markers. An important but usually implicit assumption is that the presence of any nonadditive genetic effect increases only the residual variance and does not affect estimates of additive g...

Components of (co)variance and genetic parameters were estimated for adjusted weights at ages 120 (W120), 240 (W240), 365 (W365) and 450 (W450) days of Polled Nellore cattle raised on pasture and born between 1987 and 2010. Analyses were performed using an animal model, considering fixed effects: herd-year-season of birth and calf sex as contemporary groups and the age of cow as a covariate. Gi...

to study general and specific combining ability of some rice varieties for grain physical properties and milling quality, a diallel design with five parents (hashemi, vandana, kadous, shahpasand and ir36) was used. parents and their f1 progenies (25 genotypes) were grown in a randomized complete blocks design with three replications in the research field of rice research institute of iran (rrii...

Random regression models (RRM) have become common for the analysis of longitudinal data or repeated records on individual over time. The goal of this paper was to explore the use of random regression models with orthogonal / Legendre polynomials (RRL) to analyze new repeated measures called clutch size (CS) as a meristic trait for Iranian native fowl. Legendre polynomial functions of increasing...

##An example using dglm.Pvalues(.) with 200 simulated observations set.seed(123) require(dglm) n = 200 a <rbinom(n, 1, 0.5) ##Covariate for additive genetic effects sex <rbinom(n, 1, 0.5) ##Covariate for a non-genetic effect add.effect = 0 sex.effect = 1 res.var = exp( a*add.effect ) ##Residual variance y <10 + a*add.effect + sex*sex.effect + rnorm(n ,0 , sqrt(res.var)) ##The additive genetic e...