Prediction of 24-hour milk yield and composition in dairy cows from a single part-day yield and sample
dc.contributor.author | McParland, Sinead | |
dc.contributor.author | Coughlan, B. | |
dc.contributor.author | Enright, B. | |
dc.contributor.author | O’Keeffe, M. | |
dc.contributor.author | O’Connor, R. | |
dc.contributor.author | Feeney, L. | |
dc.contributor.author | Berry, Donagh | |
dc.date.accessioned | 2020-04-28T15:58:33Z | |
dc.date.available | 2020-04-28T15:58:33Z | |
dc.date.issued | 2019-08-09 | |
dc.identifier.citation | 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 | en_US |
dc.identifier.issn | 2009-9029 | |
dc.identifier.issn | 0791-6833 | |
dc.identifier.issn | 2009-9029 | |
dc.identifier.uri | http://hdl.handle.net/11019/1891 | |
dc.description | peer-reviewed | en_US |
dc.description | Teagasc Publication | en_US |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Teagasc | en_US |
dc.relation.ispartofseries | Irish Journal of Agricultural and Food Research;Volume 58: Issue 1 | |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | AM milking | en_US |
dc.subject | PM milking | en_US |
dc.subject | milk recording | en_US |
dc.subject | low cost | en_US |
dc.subject | Vistamilk | en_US |
dc.title | Prediction of 24-hour milk yield and composition in dairy cows from a single part-day yield and sample | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.2478/ijafr-2019-0007 | |
dc.contributor.sponsor | Department of Agriculture, Food and Marine | en_US |
dc.contributor.sponsor | Science Foundation Ireland | en_US |
dc.contributor.sponsorGrantNumber | 16/RC/3835 | en_US |
dc.source.volume | 58 | |
dc.source.issue | 1 | |
dc.source.beginpage | 66-70 | |
refterms.dateFOA | 2020-04-28T15:58:33Z |
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Livestock Systems [315]
Teagasc LIvestock Systems Department includes Dairy, Cattle and Sheep research. -
IJAFR, volume 58, 2019 [9]
Irish Journal of Agricultural and Food Research, volume 58, 2019 -
Animal & Bioscience [731]