Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees.
The purpose of this paper was to utilize the decision trees technique to determine the factors responsible for high monthly milk yield in Polish Holstein-Friesian cows from 27 herds equipped with milking robots. The applied statistical method-the decision tree technique-showed that the most important factors responsible for monthly milk yield of dairy cows using robots were, in descending order of importance: milking frequency, lactation number, month of milking, and type of lying stall. At the same time, it has been ascertained that the highest monthly milk yield (47.24 kg) can be expected from multiparous cows kept in barns with a deep bedding that were milked more frequently than three times per day. On the other hand, the lowest milk production (13.56 kg) was observed among dairy cows milked less frequently than two times a day, with an average number of milked quarters lower than 3.97. The application of the decision trees technique allows a breeder to select appropriate levels of environmental factors and parameters that will help to ensure maximized milk production.
['Piwczyński|Dariusz|D|', 'Sitkowska|Beata|B|', 'Kolenda|Magdalena|M|0000-0002-9260-4391', 'Brzozowski|Marcin|M|', 'Aerts|Joanna|J|', 'Schork|Pamela M|PM|']
D000822:Animal Husbandry D000818:Animals D002417:Cattle D003612:Dairying D003663:Decision Trees D004777:Environment D005260:Female D006799:Housing, Animal D007774:Lactation D008892:Milk D012371:Robotics D013997:Time Factors
milk yield cows automatic milking system decision trees