comparison of fixed regression and random regression test-day models for genetic evaluation of milk yield trait in holstein cows razavi khorasan province

Authors

یاسمن شمشیرگران

علی اصغر اسلمی نژاد

همایون فرهنگ فر

مجتبی طهمورث پور

abstract

the fixed regression test-day model (frm) and random regression test-day model (rrm) for genetic evaluation of milk yield trait of dairy cattle in khorasan razavi province were studied. breeding values and genetic parameters of milk yield trait from two models were compared. a total of 164391 monthly test day milk records (three times milking per day) obtained from 19217 holstein cows distributed in 172 herds and calved from 1991 to 2008, were used to estimate genetic parameters and to predict breeding values. the contemporary group of herd- year- month of production was fitted as fixed effects in the models. also linear and quadratic forms of age at calving and holstein gene percentage were fitted as covariate. the random factors of the models were additive genetic and permanent environmental effects. in the random regression model, orthogonal legendre polynomial up to order 4(cubic) was implemented to take account of genetic and environmental aspects of milk production over the course of lactation. heritability estimates resulted from the frm was 0.15. the average heritability estimates resulted from the rrm of monthly test day milk production for the second half of the lactation was higher than that of the first half of lactation period. the highest and lowest heritability values were found for the first (0.102) and sixth (0.235) month of lactation. breeding value of animals predicted from frm and rrm were also compared. the results showed similar ranking of animals based on their breeding values from both models.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Analysis of Test Day Milk Yield by Random Regression Models and Evaluation of Persistency in Iranian Dairy Cows

Variace / covariance components of 227118 first lactaiom test-day milk yield records belonged to 31258 Iranian Holstein cows were estimated using nine random regression models. Afterwards, different measures of persistency based on estimation breeding value were evaluated. Three functions were used to adjust fixed lactation curve: Ali and Schaeffer (AS), quadratic (LE3) and cubic (LE4) order of...

full text

Random regression models using different functions to model test-day milk yield of Brazilian Holstein cows.

We analyzed 152,145 test-day records from 7317 first lactations of Holstein cows recorded from 1995 to 2003. Our objective was to model variations in test-day milk yield during the first lactation of Holstein cows by random regression model (RRM), using various functions in order to obtain adequate and parsimonious models for the estimation of genetic parameters. Test-day milk yields were...

full text

Evaluation of Test Day Milk Yield in Iranian Primiparous Holstein Using Different Random Regression Models

Several functions were used to model fixed and random part of the lactation curve in Iranian primiparous Holstein cows using random regression analysis. Legendre polynomials of orders three and four as well as parametric lactation curve for the random part of the first lactation milk production were compared to find the best model. The models differed in fixed regression lactation curve part an...

full text

estimation of genetic parameters for milk trait at different milking times for holstein cows of khorasan razavi using a random regression test day model

in this research in order to estimate genetic parameters for milk yield at different milking times for holstein cows of razavi khorasan, a total of 180,462 monthly test day records belonging to first lactation cows calved from 2000 to 2009 were utilized. the records were analysed by a random regression test day model. in the model, the fixed effects of contemporary group of geographical locatio...

full text

estimation of genetic parameters for milk yield using random regression test day model in iranian holstein

in this study a total of 171,360 monthly test day milk records obtained from first lactation of iranian holstein cattle (three times a day milking) distributed in 96 herds and calved from 1999 to 2008 were used to estimate genetic parameters and to predict breeding values of the animals. the data was analyzed using random regression test day model. the results showed that average of heritabilit...

full text

My Resources

Save resource for easier access later


Journal title:
پژوهش های علوم دامی ایران

جلد ۳، شماره ۱، صفحات ۰-۰

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023