Analysis of The Effect of Region, Province and Breed on Somatic Cell Count in Dairy Cattle in Turkey By Regression Tree Method

This study aimed to determine the effect of various environmental factors on somatic cell count (SCC) in cow’s milk. The material consisted an SCC analysis result obtained from 207.614 raw milk samples collected 65.288 head cattle had different breeds, ages, lactation number, and length between May December 2019. They were raised 6,305 dairy farms that are members Cattle Breeders Association (CBAT). In order region, city, breed cattle, a regression tree was created using Chi-square Automatic Interaction Detection (CHAID) algorithm, Data Mining (DM) method. Accordingly, mean value all enterprises determined as 201.253 cells/mL. this study, it found city groups with highest average counts CAR, MSR, MR SAR region group (285.430 cells/mL); C09, C45, C20, C64, C48, C43 (266.744 HF, MC, BS (295.705 cells/mL). As variables affecting respectively, importance. Keywords: CHAID; Dairy cattle; Somatic