A multiple regression model was used to derive equations for predicting 24
h milk, fat, and protein yields of dairy cows on either two-times or three-
times-a-day milking under different testing schemes. New prediction equatio
ns were developed for 72 subclasses of days in milk, parity, and season of
calving for each of 18 possible three-times-a-day testing schemes and for e
ach of four possible two-times-a-day testing schemes. The prediction equati
ons were compared to current official factors and found to be slightly bett
er than the official factors. For two-times-a-day testing schemes the accur
acies of 24 h fat yield predictions from one milk weight and one fat and pr
otein determination were 0.88 for an evening milking and 0.89 for a morning
milking. For three-times-a-day milkings the accuracies of 24 h fat and pro
tein yields from two milk weights with fat and protein contents on each wer
e 0.91-0.94 depending on which two of the three milkings were observed. If
only one of three milkings were recorded, then accuracies of 24 h predicted
fat and protein yields dropped to 0.80-0.82. More data from herds milking
three-times-a-day are needed on all breeds. (C) 2000 Elsevier Science B.V.
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