نتایج جستجو برای: asreml

تعداد نتایج: 138  

Journal: :journal of agricultural science and technology 2012
m. dorostkar h. faraji arough j. shodja s. a. rafat m. rokouei

the objective of this study was to determine the inbreeding depression on growth traits in moghani sheep. pedigree information of 8836 animals collected during the years of 1987 to 2006 by moghani breed center in jafar abad moghan, were used for analysis. the base population year was 1988. analysis of the records was performed by asreml software. inbreeding depression was estimated as the regre...

Journal: :Animal Production Science 2021

Context Mortality of new-born lambs is well known to have important implications for both animal production and welfare. Improving survival rates by genetic selection very desirable, but the low heritability traits challenges prospect useful gain. Aim This study aimed derive environmental parameters lamb in Elsenburg Merino resource flock. It also investigated correlations possible indicator bi...

Journal: :International Turfgrass Society research journal 2021

St. Augustinegrass [Stenotaphrum secundatum (Walter) Kuntze] is a turfgrass extensively used in managed landscapes Florida and throughout the southeastern United States. To develop cultivars with broad adaptation, it necessary to understand effect of genotype × environment interactions. The objective this study was estimate genetic parameters for coverage, turf quality (TQ), color (TC) multienv...

Journal: :Journal of Buffalo Science 2023

Background: Ultrasound scanning is a non-invasive technique for evaluating animals based on carcass yield and meat quality traits. It has been incorporated into the beef cattle breeding program. However, little done in buffaloes. Thus, this study was conducted to estimate genetic parameters growth traits- body weights (BW) real-time ultrasound scan of eye muscle area (EMA) rib fat (RF) determin...

2014
Nihal H De Silva Luis Gea Russell Lowe

Linear Mixed models (LMMs) that incorporate genetic and spatial covariance structures have been used for many years to estimate genetic parameters and to predict breeding values in animal and plant breeding. Although the theoretical aspects for extending LMM to generalised linear mixed models (GLMMs) have been around for some time, suitable software has been developed only within the last decad...

Journal: :Animal : an international journal of animal bioscience 2011
S A Rafat P Namavar D J Shodja H Janmohammadi H Z Khosroshahi I David

Random regression (RR) analysis has been recommended to estimate the genetic parameters of longitudinal data. The objective of this study was to evaluate the growth of turkeys using RR models. Data were collected from 957 turkeys and included 15,478 individual body weight recorded during the first week of life and between weeks 2 and 32 by 2-week intervals. To take into account the repeated mea...

Journal: :Journal of dairy science 2005
A M Silvestre F Petim-Batista J Colaço

A spline animal model was fitted to 152,103 test-day milk, fat, and protein yield records from 14,423 first-lactation cows. The models included age at calving and the herd-test-month as fixed effects. Model fitting was carried out using Restricted Maximum Likelihood with ASREML. For milk yield, the heritability at 18 d in milk was 0.19, which increased to the maximum estimated value of 0.23 at ...

Journal: :Genetics and molecular research : GMR 2012
S A Fatemi H Mehrabani-Yeganeh A Nejati-Javaremi Sh Niknafs

Neuropeptide Y (NPY) and gonadotrophin-releasing hormone receptor (GnRHR) are two candidate genes with a wide variety of physiological functions in growth and especially in reproduction processes. We examined the association of one SNP from each of these genes with growth- and egg production-related traits in Mazandaran native chickens. Two hundred and six individuals were genotyped by PCR...

Journal: :Genetics research 2012
M Felleki D Lee Y Lee A R Gilmour L Rönnegård

The possibility of breeding for uniform individuals by selecting animals expressing a small response to environment has been studied extensively in animal breeding. Bayesian methods for fitting models with genetic components in the residual variance have been developed for this purpose, but have limitations due to the computational demands. We use the hierarchical (h)-likelihood from the theory...

2010
Thomas W. Lewis Sarah C. Blott John A. Woolliams

Hip dysplasia is an important and complex genetic disease in dogs with both genetic and environmental influences. Since the osteoarthritis that develops is irreversible the only way to improve welfare, through reducing the prevalence, is through genetic selection. This study aimed to evaluate the progress of selection against hip dysplasia, to quantify potential improvements in the response to ...

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