Quantitative analysis of genetic improvement of milk production phenotypes in Simmental cows | Zendy

М.M. Petrovic | Zendy; Lj. Sretenovic | Zendy; Vladan Bogdanović | Zendy; P. Perišić | Zendy; S. Aleksić | Zendy; V. Pantelić | Zendy; Milun Petrović | Zendy; Ž. Novaković | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Quantitative analysis of genetic improvement of milk production phenotypes in Simmental cows

Author(s) -

М.M. Petrovic,

Lj. Sretenovic,

Vladan Bogdanović,

P. Perišić,

S. Aleksić,

V. Pantelić,

Milun Petrović,

Ž. Novaković

Publication year - 2009

Publication title -

biotechnology in animal husbandry

Language(s) - English

Resource type - Journals

eISSN - 2217-7140

pISSN - 1450-9156

DOI - 10.2298/bah0902045p

Subject(s) - sire , ice calving , best linear unbiased prediction , statistics , random effects model , selection (genetic algorithm) , biology , mixed model , milk production , zoology , mathematics , dairy cattle , holstein cattle , statistical analysis , veterinary medicine , lactation , genetics , computer science , pregnancy , medicine , meta analysis , artificial intelligence

Results of the effect of direct and indirect selection on quantitative properties of milk production of first calving Simmental cows in Serbia, are presented in the paper. Analysis of quantitative phenotypic parameters was carried out in four breeding regions and certain number of smaller farms where 1319 daughters of 13 bull sires were reared. Results of the analysis were obtained by application of mathematical-statistical data analysis, using mixed models (Harvey, 1990). Mathematical-statistical analysis of data was carried out using linear methods with fixed effect, through method of least squares (LS method), and for evaluation of bull breeding value mixed model of random bull sire effect was used (BLUP method). Based on obtained results it was established that analyzed breeding region has statistically highly significantly (**P<0.01.) caused deviations of production phenotypes from general average. Season and year of calving (*P<0.05.) have caused significant variations of production properties. .

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research