Browsing by Subject "dairy farm"

The purpose of the study was to find a model to examine the effectiveness of feeding through monitoring calculations (MoC), while also investigating the total protein and energy responses of the feed diet. The mutual effectiveness of the environmental factors was also examined. Today, as a result of changes in pricing, the milk protein and fat content are increasingly affecting the dairy's financial performance. The volatility of price for milk producer calculated based on the contents of the MoC used in the statistical analysis was 39,2 per cent if the pricing model 2018 of Cooperative Tuottajain Maito is used. However, nowadays the efficiency of milk production is mainly evaluated through the amount of milk. This study seeks to determine what the added value a milk yield efficiency assessment could bring to dairy farms. The exceptionally dry year of 2018 influenced the comparison of inefficiencies between production inputs, for which statistics have been collected. From silage analyses, it can be concluded that, due to drought, farms have aimed at maximizing yields at the expense of the D value. This is particularly evident in the results of clover silage analyses. The aim Was to improve the comparability of results by considering the effect of the D value. The material used in the thesis is a sample of the 2018 ProAgria milk production MoC, compiled from Valio farms. The statistics to be examined consist of 1 948 MoC: s to which 2 829 silage analyses can be attached. The analyses must be used to answer the research questions. MoC:s includes 91 984 individual observations of cows. Testing of the Stochastic Production Frontier Function started from the Cobb-Douglas function, ending in a translog model based on the likehood ratio test. The model obtained is best suited to describe the statistics to be analysed. The model used in the thesis makes it relatively easy to set up the MoC:s, or alternatively, the dairy farms in order of efficiency. Most of the input data is available from the MoC:s and supplementary data from the regional cooperatives. But the fitting variable used to calculate is not enough to describe the variation in input prices in the analysis. Several environmental factors were used to test the effect of feeding, barn, milking type and sharing of concentrated feed on milk yield. The differences between the different options were not so large that their output impact outweighed the expected cost of investments. It is worth looking at the impact on returns when the investment is timely for other reasons. At the same time, the effect of the silage harvest and the clover content of the silage on the milk yield was evaluated. The clover silage had a slightly positive impact if the effect of the D value was considered. One contribution of this thesis is the emphasis on technical efficiency in the evaluation of milk production performance. The current method of assessing the efficiency of milk production is largely based on the measurement of milk volumes. Efficiency is thus based on the annual milk amount of the cows or the annual energy-corrected milk amount. However, through quality pricing, milk levels have an increasingly significant impact on milk yield. Environmental factors affect the analysis results when testing other environmental factors as well as the actual analysis model. Their interaction must therefore be measured. Finally, the most significant contribution of the thesis is to apply protein and energy as inputs instead of different forages. And the following economic assessments. The response of energy was determined 0,94 and the one of protein was determined 0,19. The mean of MRTSe,p was -23,0 and the cost minimizing price ratio was around 115.