Acta Vet. Brno 2011, 80: 73-80
https://doi.org/10.2754/avb201180010073
Analysis of lactation curves, milk constituents, somatic cell count and urea in milk of cows by the mathematical model of Wood
References
1. TE, Schaeffer LR 1987: Accounting for covariances among test day milk yields in dairy cows. Can J Dairy Sci 67: 637-644
2. J, Miglior F, Jamrozik J, Misztal I, Sullivan PG 2008: Comparison of random regression models with Legendre polynomials and linear splices for production traits and somatic score cells of Canadian Holstein cows. J Dairy Sci 91: 3627-3638
<https://doi.org/10.3168/jds.2007-0945>
3. S, Turner CW, Ragsdale AC 1924: The relation between the initial rise and subsequent decline of milk secretion following parturition. J Gen Physiol 6: 541–545
<https://doi.org/10.1085/jgp.6.5.541>
4. P, Jasiorowski H, Reklewski Z 1989: Krzywe laktacji mieszańców F1 9 odmian bydła fryzyjskiego z krajowym bydłem czarno-białym. Rocz Nauk Rol 105: 7-18
5. W, Błaszczyk P, Lacroix R 2006: Methods of predicting milk yield in dairy cows – Predictive capabilities of Wood’s lactation curve and artificial neural networks (ANNs). Comput Electron Agr 54: 69-83
<https://doi.org/10.1016/j.compag.2006.08.004>
6. Z, Swalve HH 1995: Modeling of lactation curve as sub-model in the evaluation of test day records. Interbull Bulletin 11: 4-7
7. JV, Friggens NC, Hojsgaard S 2006: The influence of breed and parity on milk yield, and milk yield acceleration curves. 104: 53-62
8. B, Dillon P, Berry DP, O’Connor P, Rath M 2005: The effect of strain of Holstein-Friesian, feeding system and parity on lactation curves characteristic of spring-calving dairy cows. Livest Prod 95: 231-241
<https://doi.org/10.1016/j.livprodsci.2004.12.021>
9. J, Madsen P, Jensen J, Peersen J, Cristiensen LG, Sorensen DA 2002: Genetic parameters for milk production and persistency for Danish Holsteins estimated in random regression models using REML. J Dairy Sci 85: 1607-1616
<https://doi.org/10.3168/jds.S0022-0302(02)74231-8>
10. DW, Urquhart NS, Ortega AJ 1977: Estimating Holstein lactation curve with a gamma curve. J Dairy Sci 60: 1308-1315
<https://doi.org/10.3168/jds.S0022-0302(77)84028-9>
11. CU, McMilan I, Gentry RD, Wilton W 1995: Models for estimating typical lactation curves in dairy cattle. J Anim Breed Genet 112: 333-340
<https://doi.org/10.1111/j.1439-0388.1995.tb00575.x>
12. NPP, Vicario D, Cappio-Borlino A 2005: Detection of different shapes of lactation curve for milk yield in dairy cattle by empirical mathematical models. J Dairy Sci 88: 1178-1191
<https://doi.org/10.3168/jds.S0022-0302(05)72784-3>
13. VE, Brotherstone S, Hill WG, McGuric BJ 1999: Fit of standard models of the lactation curve to weekly records of milk production of cows in single herd. Livest Prod 58: 55-63
<https://doi.org/10.1016/S0301-6226(98)00194-8>
14. GE 2004: Deconstructing milk yield and composition during lactation using biologically based lactation models. J Dairy Sci 87: 2375-2387
<https://doi.org/10.3168/jds.S0022-0302(04)73359-7>
15. N, Killen L, Buckley F 2006: Modeling fat and protein concentration curves fore to weekly records of milk production of cows in single herd. Livest Prod 45: 13-23
16. B, Gara AB 2004: Factors affecting accuracy of atypical lactations for Holstein-Friesian cows. Livest Prod Sci 87: 245-250
<https://doi.org/10.1016/j.livprodsci.2003.09.023>
17. A, France J, Dhanoa M 1993: On the mathematical description of lactation curve. J Agric Sci Camb 121: 97-102
<https://doi.org/10.1017/S002185960007684X>
18. ADM, Martins AM, Santos MM, Ginja JA, Colaco JA 2009: Lactation curves for milk, fat and protein in dairy cows: A full approach. Livest Sci 122: 308-313
<https://doi.org/10.1016/j.livsci.2008.09.017>
19. J, Funchs W 1987: A comparison of different measures of persistency with special respect to variation of test day yields. Livest Prod Sci 16: 305-319
<https://doi.org/10.1016/0301-6226(87)90001-7>
20. SL, Jones IR, Everett RW, Kachman SD 1992: Estimating milk, fat and protein lactation curves with a test day model. J Dairy Sci 75: 1691-1700
<https://doi.org/10.3168/jds.S0022-0302(92)77926-0>
21. HH 2000: Theoretical basis and computational methods for different test-day genetic evaluation methods. J Dairy Sci 83: 1115-1124
<https://doi.org/10.3168/jds.S0022-0302(00)74977-0>
22. M, Akici Z, Dogan I, Acan A 2000: Factors affecting the shape of lactation curves of Holstein cows from the Balikesir province of Turkey. J Dairy Sci 83: 1381-1386
<https://doi.org/10.3168/jds.S0022-0302(00)75006-5>
23. S, Misztal I, Lawlor TJ 2004: Genetic correlation among production, body size, udder and productive life traits over time in Holsteins. J Dairy Sci 87: 1457-1468
<https://doi.org/10.3168/jds.S0022-0302(04)73297-X>
24. JBM 1987: Comparison of different methods of predicting 305-day milk yield using means calculated from within-herd lactation curves. Livest Prod Sci 17: 1-17
<https://doi.org/10.1016/0301-6226(87)90049-2>
25. GR, VanRaden PM, Philpot JC 2004: Technical note: detection and adjustments of abnormal test-day yields. J Dairy Sci 86: 2721-2724
<https://doi.org/10.3168/jds.S0022-0302(03)73868-5>
26. PDP 1967: Algebraic model of the lactation curve in cattle. Nature 216: 164-165
<https://doi.org/10.1038/216164a0>
27. PDP 1968: Factors affecting persistency of lactation in cattle. Nature 218: 894
<https://doi.org/10.1038/218894a0>
28. PDP 1970: A note on repeatability of parameters of the lactation curve in cattle. Anim Prod 12: 535-538
<https://doi.org/10.1017/S0003356100029135>
29. PDP 1976: Algebraic models of lactation curves for milk, fat and protein production, with estimates of seasonal variation. Anim Prod 22: 35-40
<https://doi.org/10.1017/S000335610003539X>
30. PDP 1980: Breed variation in the shape of the lactation curve of cattle and their implication for efficiency. Anim Prod 31: 131-141

