Application of Classification Tree Method to Determine Factors Affecting Somatic Cell Count in Holstein Cows

In the current study, the effect of phenotypic factors on Somatic Cell Count (SCC) was evaluated by using classification tree technique. The current study used a total of ۱,۹۷۲,۰۳۱ test day records of SCC in parity ۱ to ۴ collected from ۱,۲۸۱ Iranian Holstein-Friesian cows’ herds through ۲۰۰۴–۲۰۱۳. The SCC records were converted to binary trait, defined as ۱: If SCC≤ ۲۰۰,۰۰۰, and ۲: Otherwise. The CART (Classification And Regression Tree) algorithm for classification trees, with GINI index and Entropy function as the division criteria, was used to develop the tree. Statistical analysis was performed using ‘rpart’ package in R software. The constructed tree had ۱۲ leaves and it was ۶ levels deep. The results of classification tree procedure for ranking of importance of the variables responsible for the variation in SCC were, respectively, parity, test-day milk production, year of calving, season of calving, and days in milk (stage of lactation). Based on the obtained classification tree, different combination of variables associated with SCC could be identified. According to the classification tree, the lowest amount of SCC was expected in the group of cows that were in the ۱st or ۲nd parity; their test-day milk production was > ۳۰ kg; they were calved from year ۲۰۰۴ to ۲۰۱۳; and their calving season was autumn or winter.

کلیدواژه ها:

Entropy function ، GINI index ، Holstein-Friesian cows ، Mastitis ، Milk production.