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2011Zeitschriftenartikel DOI: 10.18452/22491
Modelling of lactation curves of dairy cows based on monthly test day milk yield records under inconsistent milk recording scenarios
dc.contributor.authorWasike, Chrilukovian
dc.contributor.authorKahi, A. K.
dc.contributor.authorPeters, Kurt J.
dc.date.accessioned2021-02-17T12:36:16Z
dc.date.available2021-02-17T12:36:16Z
dc.date.issued2011none
dc.identifier.other10.1017/S1751731111000954
dc.identifier.urihttp://edoc.hu-berlin.de/18452/23105
dc.description.abstractThe objective of this study was to describe the lactation curve of dairy cattle in Kenya using a suitable lactation function in order to facilitate inclusion of partial lactations in national dairy cattle evaluation and to assess the effect of data characteristics on lactation curve parameters. Six functions were fitted to test day (TD) milk yield records from six parities of Ayrshire, Guernsey, Holstein Friesian, Jersey and Sahiwal cattle. Five datasets: DS-1 (12-TD dataset with randomly missing records), DS-2 (10-TD dataset without missing records), DS-3 (10-TD dataset with randomly missing records), DS-4 (7-TD dataset, with only TD 4 to 10 records) and DS-5 (7-TD dataset, with TD 1 to 4, 6, 8 and 10 records) depicting various recording circumstances were derived to assess the effects of data characteristics on lactation curves and to assess the feasibility of reducing the number of TD samples per lactation. The fit of the functions was evaluated using adjusted R2 and their predictive abilities were compared using mean square prediction error, percentage of squared bias and the correlation between the predicted and actual milk yield. These criteria plus the changes in the parameters of curve functions and their associated standard errors were used in determining the effects of data characteristics on lactation curves. The mechanistic functions of Dijkstra (DIJ) and Pollott (APOL), and the incomplete gamma function of Wood (WD) had the highest adjusted R2 > 0.75. The APOL function was eliminated due to convergence failures when analysis of individual lactations within breeds was carried out. Both DIJ and WD had good predictive ability, although DIJ performed slightly better. Convergence difficulties were noted in some DIJ analysis where data were limiting. Missing records, especially at the beginning of a lactation, greatly influenced parameters a and b of the functions. It also resulted in estimates with large standard errors. Missing records in later lactation hardly affected the parameter estimates. The WD and DIJ functions showed superior fit to the data. The WD function demonstrated higher adaptability to various data characteristics than DIJ and could be used in situations where animal recording is not consistently practised and where recording of animal performance is routinely practised. DIJ function had high data requirements, which restricts it to dairy systems with consistent recording, despite easy physiological interpretation of its parameters. The number of TD per lactation could be reduced by minimising sampling frequency in the later lactation while maintaining the monthly sampling frequency in early lactation.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectlactation curveeng
dc.subjectdairy cattleeng
dc.subjectlactation functioneng
dc.subjecttest day milk yieldeng
dc.subject.ddc590 Tiere (Zoologie)none
dc.subject.ddc630 Landwirtschaft und verwandte Bereichenone
dc.titleModelling of lactation curves of dairy cows based on monthly test day milk yield records under inconsistent milk recording scenariosnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/23105-1
dc.identifier.doihttp://dx.doi.org/10.18452/22491
dc.type.versionpublishedVersionnone
local.edoc.container-titleAnimalnone
local.edoc.pages11none
local.edoc.anmerkungThis publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.none
local.edoc.type-nameZeitschriftenartikel
local.edoc.institutionLebenswissenschaftliche Fakultätnone
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameCambridge University Pressnone
local.edoc.container-publisher-placeCambridgenone
local.edoc.container-volume5none
local.edoc.container-issue11none
local.edoc.container-firstpage1780none
local.edoc.container-lastpage1790none
dc.description.versionPeer Reviewednone
dc.identifier.eissn1751-732X

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