ZANG Saige, PANG Guoliang , LIU Ying , YUE Ziting , GAO Wenchang, LI Cong , LUO Jun
This experiment aims to explore the effects of lactation stage and parity on the somatic cell count (SCC) and milk composition of Xinong Saanen dairy goat milk, and the correlation analysis of somatic cell score (SCS) and milk composition. In this experiment, a total of 120 Xinong Saanen dairy goats were selected, and milk samples were collected once a week in the early lactation period, and then every four weeks, somatic cell count in milk and the related indexes of milk composition were determined by on-line milk composition analyzer. The results showed that:(1) There were no significant changes in SCC in the milk of Xinong Saanen dairy goats at different stages of lactation (P>0.05), and there were extremely significant changes in milk fat percentage, milk protein percentage, lactose percentage and total solid content (P<0.01), there was a significant change in urea nitrogen (P<0.05), and there was significant correlation between SCS and milk components in different stages of lactation (P<0.01,P<0.05).(2) SCC in Xinong Saanen goat milk with different parity had significant changes (P<0.05), milk fat percentage, milk protein percentage, lactose percentage and total solids percentage had extremely significant changes (P<0.01), urea nitrogen had no significant changes (P>0.05), and SCS and milk composition had significant correlation among different parity (P<0.01,P<0.05).(3) With the increase of SCC, there was a very significant negative correlation between SCS and daily milk yield and lactose percentage (P<0.01). In summary, In summary, through the study of the change regularity and correlation between the somatic cell count and milk components in Xinong Saanen dairy goat milk, it was found that the milk quality of Xinong Saanen dairy goats was the best at the second and third litters 〖JP〗and early lactation, and goat milk SCS The correlation with milk production traits will help speed up the improvement of dairy goat populations and improve the scientific management of sheep farms.