Random Regression Model for Genetic Analysis Milk Traits Holstein Friesian Cow

Genetic analysis of milk traits using the random regression model was performed on the basis of data from completed lactations of Holstein-Friesian cows in Vojvodina in the period from 2011 to 2016.The effect of fixed factors (breed, year of calving, calving season, lactation in order and age) were tested using the GLM in Statica 13.0.Quantitative genetic analysis of data was performed in the WOMBAT software.The average milk yield in standard lactation of 6916.51 kg, with an average fat content 3.80% and proteins content 3.21%, indicate that milk yield in the examined population is lower than the genetic potential of the breed.All factors showed a statistically significant effect on the observed traits.The heritability of the milk yield ranged from 0.041 to 0.419, for fat content from 0.389 to 0.490, proteins content from 0.323 to 0.393 and increased with increasing age in all of the tested traits.Milk cattle, due to their high quality products, are one of the most studied types of domestic mammals.The cultivation accent is on milk production.When it comes to this direction of production, we can say that the Holstein-Friesian race is the most appropriate race on a global scale.By breeding, selection and quality keeping of this race, high production of milk, milk fat and proteins is achieved, which have the greatest impact on revenue.It is believed that the breeding of dairy cattle belongs to the most intensive form of production.Due to the increased need for these products (milk, fat, protein), attention is paid to the precision of selection, that is, to the improvement of the education of high quality throats, which should ensure the production of high quality products.The breeding goal for the Holstein-Friesian (HF) race is to achieve maximum genetic values for economically important traits, and in line with the economic effects of genetic improvement that this race has achieved in developed countries of the world.For the purpose of achieving the goal of the breeding, it is necessary to select and implement the appropriate selection program.This implies the selection of the next-generation parents, with the application of genetic assessments and ranking of breeding throats.Different countries use different mathematical-statistical methods for assessing breeding values due to specific geographical and economic conditions.In most developed countries, the Animal Model is applied, of which the Test Day Model is most commonly used.When designing breeding programs for dairy breeds, it is nec-essary to pay attention to the selection of elite parents whose mating is given to the male calves for the progeny tests.It is necessary to mention that this branch of production is one of the leading in the application of advanced techniques such as artificial insemination, embryo transfer and cloning, of which artificial insemination is the most important [1].Artificial Insemination is a zootechnical method by which an expert person, by applying adequate sources, inserts the sperm dose into the appropriate part of the female full tract at optimum time, during the duration of the estrus, in order to establish normal gravidity.This is very important from the point of view of the selection effect, as with the increase in the number of offspring per breeder that can be tested affects the increase in the intensity of the selection, and therefore the increase in the effect of selection.According to some authors, the organization of artificial insemination and the probe test directly contribute to the improvement and economic progress of production [2].When it comes to our country, especially in Vojvodina, Holstein-Friesian race is the pillar of milk production [3].According to the results of the Expert Report [4,5], a large number of cattle breeds of HF race, all categories, in controlled seas from 2012 to 2017, recorded a steady and significant increase.In 2013, compared to 2012, the total number of cattle in controlled mammals increased by 7.65% and amounted to 92.051 heads.The growth trend of the number of throats continued in the period from 2014 to 2017, reaching the number of 125,644 heads, which represents the maximum for the observed period.