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Prediction of 24-hour milk yield and composition in dairy cows from a single part-day yield and sample
McParland, Sinead Coughlan, B. Enright, B. O’Keeffe, M. O’Connor, R. Feeney, L. Berry, Donagh
McParland, Sinead
Coughlan, B.
Enright, B.
O’Keeffe, M.
O’Connor, R.
Feeney, L.
Berry, Donagh
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2019-08-09
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McParland, S., Coughlan, B., Enright, B., O’Keeffe, M., O’Connor, R., Feeney, L. and Berry, D. (2019). Prediction of 24-hour milk yield and composition in dairy cows from a single part-day yield and sample. Irish Journal of Agricultural and Food Research, [online] 58(1), pp.66-70. Available at: https://dx.doi.org/10.2478/ijafr-2019-0007
Abstract
The objective was to evaluate the accuracy of predicting 24-hour milk yield and composition from a single morning (AM) or evening (PM) milk weight and composition. A calibration dataset of 37,481 test-day records with both AM and PM yields and composition was used to generate the prediction equations; equations were validated using 4,644 test-day records. Prediction models were developed within stage of lactation and parity while accounting for the inter-milking time interval. The mean correlation between the predicted 24-hour yields and composition of milk, fat and protein and the respective actual values was 0.97 when based on just an AM milk yield and composition with a mean correlation of 0.95 when based on just a PM milk yield and composition. The regression of predicted 24-hour yield and composition on the respective actual values varied from 0.97 to 1.01 with the exception of 24-hour fat percentage predicted from a PM sample (1.06). A single AM sample is useful to predict 24-hour milk yield and composition when the milking interval is known.