scholarly journals Phenotypic and Genetic Characteristics of Parameters of Lactation Curve in Dairy Cattle

1981 ◽  
Vol 52 (6) ◽  
pp. 480-482
Author(s):  
Tuguyoshi SUGANO ◽  
Kinichi WATANABE ◽  
Yasuhiro MINESAKI ◽  
Tokukazu IZUMI ◽  
Hisashi SAITO ◽  
...  
2011 ◽  
Vol 53 (1) ◽  
Author(s):  
Fredrik Andersen ◽  
Olav Østerås ◽  
Olav Reksen ◽  
Nils Toft ◽  
Yrjo T Gröhn

2012 ◽  
Vol 143 (2-3) ◽  
pp. 249-258 ◽  
Author(s):  
Fredrik Andersen ◽  
Olav Østerås ◽  
Geir Henning Eid Fjuk ◽  
Harald Volden

2004 ◽  
Vol 87 (11) ◽  
pp. 3789-3799 ◽  
Author(s):  
D. Val-Arreola ◽  
E. Kebreab ◽  
J. Dijkstra ◽  
J. France

2011 ◽  
Vol 37 (3) ◽  
pp. 244-248
Author(s):  
N. S. Marzanov ◽  
N. A. Popov ◽  
L. K. Marzanova ◽  
A. N. Popov ◽  
S. N. Petrov ◽  
...  

Author(s):  
Melis Çelik Güney ◽  
Gökhan Tamer Kayaalp ◽  
Gökhan Gökçe ◽  
Serap Göncü

In this study, the lactation curve of the milk yield datas of 45 Holstein which were taken from Cukurova University, Faculty of Agriculture, Research and Application Farm, Dairy Cattle Unit were estimated. Three different models, gamma function, exponential function and parabolic exponential function, were used in the estimation of the lactation curve. When compared models, R-squared and mean squared error (MSE) were used as criteria. The analyses were made with Minitab 13.0 V. The graph was drawn with Microsoft Excel 2007. As a result of the study, the model giving the lowest mean squared error and the highest R-squared value was determined as Gama function model. This model is the best among the models used. When the significance test of the parameters, all the parameters were found statistically significant.


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