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Title:Prediction of standard lactation curves for primiparous Holstein cows by using corrected regression models
Authors:ID Jeretina, Janez (Author)
ID Babnik, Drago (Author)
ID Škorjanc, Dejan (Author)
Files:.pdf Italian_Journal_of_Animal_Science_2015_Jeretina,_Babnik,_Skorjanc_Prediction_of_Standard_Lactation_Curves_for_Primiparous_Holstein_Cows.pdf (497,85 KB)
MD5: ED3A51157D7906618F8A4A72317A4710
PID: 20.500.12556/dkum/3978fa25-e813-4d13-b6a4-49463772a767
 
URL http://www.tandfonline.com/doi/full/10.4081/ijas.2015.3776
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FKBV - Faculty of Agriculture and Life Sciences
Abstract:Prediction of the expected milk yield is important for the management of the primiparous cows (PPC) with a few or no data on their own milk productivity. We developed a system of regression equations for predicting milk yields in standard lactation. The models include the systematic effects of the calving season, the five-year rolling herd average of milk yield of PPC, the breeding values of the parents for milk production, and daily milk recordings. A total of 21,901 lactations of Holstein PPC were collected during the regular monthly milk recordings of cows in the Republic of Slovenia. By including daily milk recordings in the model, the coefficients of determination of regression models for the prediction of milk yield increase: without known recordings (M0) R 2 =0.80; with one recording (M1) R 2 =0.82; with two first consecutive recordings (M2) R 2 =0.86; and with three recordings (M3) R 2 =0.89. Deviations of milk yield up to 500 kg in a standard lactation (<1.6 kg/day) were as follows: with the model M0, they occurred in 53.4% of PPC; with M1, they occurred in 56.3% of PPC; with M2, they occurred in 64.5% of PPC; and with M3, they occurred in 70.9% of PPC. We concluded that the developed system of regression models is an appropriate method for milk yield prediction of PPC.
Keywords:primiparous cows, milk yield, prediction, lactation curves, regression equations
Publication status:Published
Publication version:Version of Record
Year of publishing:2015
Number of pages:str. 628-633
Numbering:Letn. 14
PID:20.500.12556/DKUM-66996 New window
ISSN:1594-4077
UDC:636.2:637.1
ISSN on article:1594-4077
COBISS.SI-ID:4020524 New window
DOI:10.4081/ijas.2015.3776 New window
NUK URN:URN:SI:UM:DK:6GWZMICH
Publication date in DKUM:24.07.2017
Views:1490
Downloads:548
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Italian Journal of Animal Science
Shortened title:Ital. J. Anim. Sci.
Publisher:Taylor & Francis Group
ISSN:1594-4077
COBISS.SI-ID:1544840 New window

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:24.07.2017

Secondary language

Language:Slovenian
Keywords:krave prvesnice, mlečni pridelek, napovedovanje, laktacijske krivulje, regresijske enačbe


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