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dc.contributor.authorMcParland, Sinead*
dc.contributor.authorLewis, Eva*
dc.contributor.authorKennedy, Emer*
dc.contributor.authorMoore, Stephen G.*
dc.contributor.authorMcCarthy, B.*
dc.contributor.authorO'Donovan, Michael*
dc.contributor.authorButler, Stephen T.*
dc.contributor.authorPryce, J. E.*
dc.contributor.authorBerry, Donagh P.*
dc.date.accessioned2018-08-16T14:08:36Z
dc.date.available2018-08-16T14:08:36Z
dc.date.issued2014-09
dc.identifier.citationS. McParland, E. Lewis, E. Kennedy, S.G. Moore, B. McCarthy, M. O’Donovan, S.T. Butler, J.E. Pryce, D.P. Berry, Mid-infrared spectrometry of milk as a predictor of energy intake and efficiency in lactating dairy cows, Journal of Dairy Science, 2014. 97(9), 5863-5871, doi:https://doi.org/10.3168/jds.2014-8214en_US
dc.identifier.issn0022-0302
dc.identifier.urihttp://hdl.handle.net/11019/1593
dc.descriptionpeer-revieweden_US
dc.description.abstractInterest is increasing in the feed intake complex of individual dairy cows, both for management and animal breeding. However, energy intake data on an individual-cow basis are not routinely available. The objective of the present study was to quantify the ability of routinely undertaken mid-infrared (MIR) spectroscopy analysis of individual cow milk samples to predict individual cow energy intake and efficiency. Feed efficiency in the present study was described by residual feed intake (RFI), which is the difference between actual energy intake and energy used (e.g., milk production, maintenance, and body tissue anabolism) or supplied from body tissue mobilization. A total of 1,535 records for energy intake, RFI, and milk MIR spectral data were available from an Irish research herd across 36 different test days from 535 lactations on 378 cows. Partial least squares regression analyses were used to relate the milk MIR spectral data to either energy intake or efficiency. The coefficient of correlation (REX) of models to predict RFI across lactation ranged from 0.48 to 0.60 in an external validation data set; the predictive ability was, however, strongest (REX = 0.65) in early lactation (<60 d in milk). The inclusion of milk yield as a predictor variable improved the accuracy of predicting energy intake across lactation (REX = 0.70). The correlation between measured RFI and measured energy balance across lactation was 0.85, whereas the correlation between RFI and energy balance, both predicted from the MIR spectrum, was 0.65. Milk MIR spectral data are routinely generated for individual cows throughout lactation and, therefore, the prediction equations developed in the present study can be immediately (and retrospectively where MIR spectral data have been stored) applied to predict energy intake and efficiency to aid in management and breeding decisions.en_US
dc.language.isoenen_US
dc.publisherElsevier for American Dairy Science Associationen_US
dc.relation.ispartofseriesJournal of Dairy Science;vol 97
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectFeed efficiencyen_US
dc.subjectBiomarkersen_US
dc.subjectMid-infrared spectrumen_US
dc.subjectPredictoren_US
dc.titleMid-infrared spectrometry of milk as a predictor of energy intake and efficiency in lactating dairy cowsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3168/jds.2014-8214
dc.contributor.sponsorDepartment of Agriculture, Food and the Marine, Irelanden_US
dc.contributor.sponsorMarie Curie project International Research Staff Exchange Scheme SEQSELen_US
dc.contributor.sponsorGrantNumber13/S4/96
refterms.dateFOA2018-08-16T14:08:36Z


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