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- W4231539221 abstract "Milk producers in the UK are paid according to their production of milk fat, protein and lactose and are also subject to a production quota which includes an element restricting fat production. The ability to predict the production of milk solids consequent on the feed inputs and animal state is therefore important. Results reported previously (Rook, Sutton and France, 1990) showed that multiple regressions of milk constituent yields on feed variables and animal characteristics such as parity and postcalving liveweight fitted poorly, with R 2 ranging from 0.35 for lactose yield to 0.52 for protein yield. In practice, however, previous yields are often available and can be used to improve the fit of these empirical models. This study investigated the use of models including previous yields." @default.
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- W4231539221 date "1991-03-01" @default.
- W4231539221 modified "2023-10-18" @default.
- W4231539221 title "Autoregressive models for the prediction of constituents of milk in dairy cows" @default.
- W4231539221 cites W2054531019 @default.
- W4231539221 doi "https://doi.org/10.1017/s0308229600019796" @default.
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