Analysis of egg production in layer chickens using a random regression model with genomic relationships
نویسندگان
چکیده
منابع مشابه
Evaluation of egg production in layers using random regression models.
The objectives of this study were to estimate genetic parameters for egg production over the age trajectory in 3 layer lines, which represent different biotypes for egg production, and to validate the use of breeding values for slope as a measure of persistency to be used in the selection program. Egg production of more than 26,000 layers per line from 6 consecutive generations were analyzed wi...
متن کاملA model for individual egg production in chickens.
Our primary objective was to improve on an existing model for the individual weekly egg production curve by modeling the curve as a sum of logistic functions: one for the increasing phase of production and a sum for the decreasing phases. To illustrate the model, we used four data sets from two pairs of individuals. For these data, the model consisted of an increasing phase and a single decreas...
متن کاملSpatial Beta Regression Model with Random Effect
Abstract: In many applications we have to encountered with bounded dependent variables. Beta regression model can be used to deal with these kinds of response variables. In this paper we aim to study spatially correlated responses in the unit interval. Initially we introduce spatial beta generalized linear mixed model in which the spatial correlation is captured through a random effect. T...
متن کاملgenetic analysis of production traits of holstein cows in the mediterranean climate of iran using random regression and animal model
introduction productive traits such as milk production and fat and protein percentage have economic importance in the livestock industry. accurate prediction of breeding value of animals is one of the best tools available for maximizing response to selection program. it is a fact that the main objective of the breeding program, is to achieve the maximum economic benefit. for breeders of dairy c...
متن کاملEstimation of genetic parameters for production traits and somatic cell score in Iranian Holstein dairy cattle using random regression model
In this study test-day records of milk (kg), fat (g), and protein (g) yields, somatic cell score (SCS, cells/ML) collected by Animal Breeding Center of Iran during 2007 and 2009 were used to estimate genetic parameters using random regression model. Models with different order of Legendre polynomials were compared using Bayesian information criterion (BIC).For milk, fat yield and SCS genetic an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Poultry Science
سال: 2013
ISSN: 0032-5791
DOI: 10.3382/ps.2012-02882