Modeling extended lactations of Holsteins.

Modeling extended lactations for the US Holsteins is useful because a majority (>55%) of the cows in the present population produce lactations longer than 305 d. In this study, 9 empirical and mechanistic models were compared for their suitability for modeling 305-d and 999-d lactations of US Holsteins. A pooled data set of 4,266,597 test-day yields from 427,657 (305-d complete) lactation records from the AIPL-USDA database was used for model fitting. The empirical models included Wood (WD), Wilmink (WIL), Rook (RK), monophasic (MONO), diphasic (DIPH), and lactation persistency (LPM) functions; Dijkstra (DJ), Pollott (POL), and new-multiphasic (MULT) models comprised the mechanistic counterparts. Each model was separately tested on 305-d (>280 days in milk) and 999-d (>800 days in milk) lactations for cows in first parity and those in third and greater parities. All models were found to produce a significant fit for all 4 scenarios (2 parity groups and 2 lactation lengths). However, the resulting parameter estimates for the 4 scenarios were different. All models except MONO, DIPH, and LPM yielded residuals with absolute values smaller than 2 kg for the entire period of the 305-d lactations. For the extended lactations, the prediction errors were larger. However, the RK, DJ, POL, and MULT models were able to predict daily yield within a +/- 3 kg range for the entire 999-d period. The POL and MULT models (having 6 and 12 parameters, respectively) produced the lowest mean square error and Bayesian information criteria values, although the differences from the other models were small. Conversely, POL and MULT were often associated with poor convergence and highly correlated, unreliable, or biologically atypical parameter estimates. Considering the computational problems of large mechanistic models and the relative predictive ability of the other models, smaller models such as RK, DJ, and WD were recommended as sufficient for modeling extended lactations unless mechanistic details on the extended curves are needed. The recommended models were also satisfactory in describing fat and protein yields of 305-d and 999-d lactations of all parities.

[1]  D. Vicario,et al.  Detection of different shapes of lactation curve for milk yield in dairy cattle by empirical mathematical models. , 2005, Journal of dairy science.

[2]  L. R. Schaeffer,et al.  Application of random regression models in animal breeding , 2004 .

[3]  J. H. M. Thornley,et al.  The lactation curve in cattle: a mathematical model of the mammary gland , 1983, The Journal of Agricultural Science.

[4]  B. Yandell,et al.  Use of lactation curves for analysis of milk production data. , 1996, Journal of dairy science.

[5]  T. R. Batra COMPARISON OF TWO MATHEMATICAL MODELS IN FITTING LACTATION CURVES FOR PURELINE AND CROSSLINE DAIRY COWS , 1986 .

[6]  W. J. Koops,et al.  Multiphasic analysis of lactation curves in dairy cattle. , 1988 .

[7]  J. Cobby,et al.  On fitting curves to lactation data , 1978 .

[8]  W R Butler,et al.  Review: effect of protein nutrition on ovarian and uterine physiology in dairy cattle. , 1998, Journal of dairy science.

[9]  A M Silvestre,et al.  The accuracy of seven mathematical functions in modeling dairy cattle lactation curves based on test-day records from varying sample schemes. , 2006, Journal of dairy science.

[10]  I Misztal,et al.  Changing definition of productive life in US Holsteins: effect on genetic correlations. , 2005, Journal of dairy science.

[11]  W. Koops,et al.  Modeling extended lactation curves of dairy cattle: a biological basis for the multiphasic approach. , 2003, Journal of dairy science.

[12]  D Pietersma,et al.  A case-acquisition and decision-support system for the analysis of group-average lactation curves. , 2001, Journal of dairy science.

[13]  W. Silvia Addressing the Decline in Reproductive Performance of Lactating Dairy Cows: A Researcher’s Perspective , 2003 .

[14]  J. A. Nelder,et al.  Inverse Polynomials, a Useful Group of Multi-Factor Response Functions , 1966 .

[15]  I. Papajcsik,et al.  Modelling lactation curves of Friesian cows in a subtropical climate , 1988 .

[16]  J. T. Hag,et al.  Genetic and economic evaluation of persistency in dairy cattle , 1996 .

[17]  W. Koops,et al.  Persistency of lactation yield: a novel approach. , 1999, Journal of dairy science.

[18]  Mathematical equations to describe lactation curves for Holstein- Friesian cows in New South Wales , 1999 .

[19]  Luc BAUWENS,et al.  Bayesian Methods , 2011 .

[20]  K. Weigel,et al.  Selection for female fertility using censored fertility traits and investigation of the relationship with milk production. , 2006, Journal of dairy science.

[21]  J.B.M. Wilmink,et al.  Adjustment of test-day milk, fat and protein yield for age, season and stage of lactation , 1987 .

[22]  M. Herrero,et al.  Comparison of models for describing the lactation curve of latxa sheep and an analysis of factors affecting milk yield. , 2000, Journal of dairy science.

[23]  J France,et al.  A model to describe growth patterns of the mammary gland during pregnancy and lactation. , 1997, Journal of dairy science.

[24]  M. Dhanoa,et al.  On the mathematical description of lactation curves , 1993, The Journal of Agricultural Science.

[25]  B. Freeze,et al.  Lactation curve estimation for use in economic optimization models in the dairy industry. , 1992, Journal of dairy science.

[26]  O. González-Recio,et al.  Economic value of female fertility and its relationship with profit in Spanish dairy cattle. , 2004, Journal of dairy science.

[27]  P. D. P. WOOD,et al.  Algebraic Model of the Lactation Curve in Cattle , 1967, Nature.

[28]  J. Huber,et al.  Effects of bovine somatotropin on milk yield and composition in Holstein cows in advanced lactation fed low- or high-energy diets. , 2000, Journal of dairy science.

[29]  M. Herrero,et al.  Modeling extended lactations of dairy cows. , 2000, Journal of dairy science.

[30]  D Val-Arreola,et al.  Study of the lactation curve in dairy cattle on farms in central Mexico. , 2004, Journal of dairy science.

[31]  P. VanRaden,et al.  Productive life including all lactations and longer lactations with diminishing credits. , 2006, Journal of dairy science.

[32]  D. E. Beever,et al.  A review of empirical and mechanistic models of lactational performance by the dairy cow , 1991 .

[33]  James Durbin,et al.  An Alternative to the Bounds Test for Testing for Serial Correlation in Least-Squares Regression , 1970 .

[34]  M. Grossman,et al.  Lactation curves in dairy goats: a review , 1990 .

[35]  Jeff Gill,et al.  What are Bayesian Methods , 2008 .

[36]  G. Pollott,et al.  A biological approach to lactation curve analysis for milk yield. , 2000, Journal of dairy science.