The Analysis And Research Of DHI Determination Results In The Large-scale Dairy Farm

Cow production performance of technology is to measure the performance of lactating dairy cows and milk components, also called cows population improvement system. DHI somatic cell count measurement and analysis is particularly important in an index, it can be directly used to measure milk quality and udder health status of the case. In this study, an analysis of the measurement results DHI dairy different sizes, in order to improve the quality of raw milk, reduced somatic cell counts, increase economic efficiency provides a basis for decision-making.This study aims to analyze the cattle type, variety, year, season, month, parity, affect daily milk yield of cows milk fat, milk protein, lactose rate, total solids and somatic cell score(SCS) of. Test collected 37 cattle in 2008 to 2014 measured data DHI 245,806 cattle and 88,946 records. By samples and least squares analysis of variance SPSS16.0 SAS8.1 traits correlation analysis results showed that the type of effect cattle, breed effect, year effect, January effect, birth order effect and the amount of daily milk fat percentage, respectively, milk protein percentage, lactose rate, total solids and somatic cell score were highly significant effect(P <0.01); the impact of seasonal effect on milk fat, milk protein, lactose rate, somatic cell scores were highly significant(P <0.01), seasonal effects had no significant effect(P> 0.05) of the total solids. Milk fat, milk protein, total solids and somatic cell score four traits level is a positive correlation between each other. Related levels of lactose and milk fat rate, milk protein and somatic cell score was a negative correlation between. From this, we can analyze the measurement data of the monthly DHI deepen the impact of milk fat, milk protein and somatic cell score factors in understanding, timely adjustment of feed formulation, strengthen management, improve milk production groups, prevention and reduce the incidence of mastitis, reduce the impact of unnecessary factors on milk fat, milk protein, lactose rate, total solids and somatic cell score, thereby reducing milk fat, milk protein, lactose rate, total solids and somatic cell score each other influence between, and thus to improve milk quality purposes.