A study on the lactation curve characteristics of grade and Iranian purebred Holstein cows with the use of raw, fat-corrected, and energy-corrected milk test day records

Document Type : Research Paper

Authors

1 Professor, Animal Science Department, Agriculture Faculty, University of Birjand, Birjand, Iran

2 Former MSc Student, Animal Science Department, Agriculture Faculty, University of Birjand, Birjand, Iran

3 Assistant Professor, Animal Science Department, Agriculture Faculty, University of Birjand, Birjand, Iran

4 MSc Expert, Animal Breeding Center and Promotion of Animal Products, Karaj, Iran

Abstract

Introduction: In dairy cattle enterprise, there are several economic traits associated with productive and reproductive performance which milk yield is the main source of income for the herd keeper. Knowledge of lactation is considered a useful tool for management decision-making. Based on this, lactation curve modeling can be utilized as an appropriate guide for planning nutrition programs as well as genetic selection schemes. So far, main research has been focused on using raw (unadjusted) milk test day records to model the shape of the lactation curve by applying a variety of linear and non-linear mathematical models and a few research have been carried out to use adjusted milk test day records in terms of fat and protein percentages. The main objective of the present research was to compare lactation curve parameters of Iranian first-parity dairy cows among three types of milk test day records including raw milk (RM), fat-corrected milk (FCM), and energy-corrected milk (ECM).
Materials and methods: The initial data set was provided by the Animal Breeding Center and Promotion of Animal Products of Iran. Editing of the data was carried out by FOXPRO and Excel software based on some criteria such as age at first calving (was set to be in the range of 18-48 months), minimum (3 kg), and maximum (99.9 kg) of RM. There were a minimum of five test day records for each cow during the lactation period. Final data consisted of a total number of 1,902,071 milk test day records belonging to 226,255 first-parity cows (progeny of 5,094 sires and 178,390 dams) distributed in 797 herds and calved during 1996-2015 were utilized. For a mathematical description of the shape of the lactation curve, Wood’s incomplete gamma function was used. The function has three parameters including parameter a (associated with initial milk yield), parameter b (associated with the inclining slope of the lactation), and parameter c (associated with the declining slope of the lactation). Wood's function was fitted to the records of RM, FCM, and ECM of individual cows using SAS software. Based on the estimated parameters, lactation characteristics including peak time (PT), peak yield (PY), and persistency (Per) were subsequently calculated for each cow. Estimated parameters and calculated lactation characteristics were then subjected to a fixed linear model in which the effects of herd, year of calving, the season of calving, age at first calving, genotype group (grade or purebred Holstein), type of milk test day record (RM, FCM or ECM) along with some two-way interactions were included.  
Results and discussion: The results showed that FCM had the greatest parameter a as compared with RM and ECM (P<0.0001). The greatest magnitude of the parameters b and c were found for RM (P<0.0001). Later PT and higher Per were observed for ECM (P<0.0001), while the highest PY was detected for RM (P<0.0001). For all types of records, minimum and maximum PY were observed for the cows calving in the spring and autumn seasons, respectively. Later PT was observed for ECM in all calving seasons except autumn. As compared to RM and FCM, cows calved in spring and summer had the highest persistency based on ECM while cows calved in autumn and winter were found to have more persistence based upon RM compared with FCM and ECM. The least-square means of peak time (PT) in grade cows were found to be 77.74, 69.5, and 79.85 d for RM, FCM, and ECM, respectively, while the corresponding figures for purebred Holstein cows were 80.27, 72.89, and 83.15 d, respectively. In grade cows, least-square means of peak time (PY) were found to be 32.02, 29.23, and 30.70 kg for RM, FCM, and ECM, respectively, while the corresponding figures for purebred Holstein cows were 32.51, 29.56, and 31.14 kg, respectively. For both purebred Holstein and grade cows, minimum and maximum persistency (Per) were obtained for FCM and ECM, respectively, which were significantly different from each other (P<0.001). For RM, FCM, and ECM, annual change trends of PT were found to be 2.132, 2.306, and 2.293 d, respectively, while the corresponding figures for PY were 0.408, 0.369, and 0.395 kg, respectively, and for Per were 0.037, 0.036, and 0.035, respectively. All trends were statistically significant (P<0.0001).
Conclusions: The finding of the present research revealed that purebred Holsteins reach the peak time later than grade cows which is an appropriate characteristic of the lactation curve. Based upon energy-corrected milk yield, peak time as well as persistency was found to be greater than those for raw milk and fat-corrected milk yields. Therefore, the use of energy-corrected milk yield could be suggested to be applied as different experimental nutritional treatments are to be compared in terms of the persistency of the cows. All lactation characteristics of Iranian dairy cows were found to be changed favorably over time.

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Adediran, S. A., Ratkowski, D. A., Donaghy, D. J., & Malau-Aduli, A. E. O. (2012). Comparative evaluation of a new lactation curve model for pasture-based Holstein-Friesian dairy cows. Journal of Dairy Science, 95(9), 5344-5356. doi:10.3168/jds.2011-4663
Albarran-Portillo, B., & Pollott, G. E. (2011). Environmental factors affecting lactation curve parameters in the United Kingdom’s commercial dairy herds. Archivos de Medicina Veterinaria, 43(2), 145-153. doi: 10.4067/S0301-732X2011000200007
Ardalan, M., Dehghan-Banadaky, M., Rezayazdi, K., & Ghavi Hossein-Zadeh, N. (2011). The effect of rumen-protected methionine and choline on plasma metabolites of Holstein dairy cows. Journal of Agricultural Science, 149, 639-646. doi: 10.1017/S0021859610001292
Arianfar, M., Rokouei, M., Dashab, G. R., & Faraji-Arough, H. (2022). Investigating the relationship between lactation curve parameters and some economic traits of Iranian Holstein cows. Animal Production Research, 11(1), 1-13. doi: 10.22124/AR.2022.18691.1590 [In Persian]
Atashi, H., Moradi Shahrbabak, M., & Moghimi Esfandabadi, A. (1997). An Investigation on the milk production change trend over lactation period using mathematical functions in Iranian Holstein cows. Iranian Journal of Agriculture Science, 38(1), 67-76. [In Persian]
Bakri, N. E., Pieramati, C., Sarti, F. M., Giovanini, S., & Djemali, M. N. (2022). Estimates of genetic parameters and genetic trend for Wood’s lactation curve traits of Tunisian Holstein-Friesian cows. Tropical Animal Health and Production, 54(4), 1-9. doi: 10.1007/s11250-022-03219-2
Bangar, Y. C., & Verma, M. R. (2017). Non-linear modelling to describe lactation curve in Gir crossbred cows. Journal of Animal Science and Technology, 59(3), 1-7. doi: 10.1186/s40781-017-0128-6
Bouallegue, M., Steri, R., M’hamdi, N., & Hamouda M. B. (2015). Modelling of individual lactation curves of Tunisian Holstein-Friesian cows for milk yield, fat, and protein contents using parametric, orthogonal and spline models. Journal of Animal and Feed Sciences24(1), 11-18. doi: 10.22358/jafs/65648/2015
Cankaya, S., Unalan, A., & Soydan, E. (2011). Selection of a mathematical model to describe the lactation curves of Jersey cattle. Archiv fur Tierzucht, 54(1), 27-35. doi: 10.5194/aab-54-27-2011
Cobuci, J. A., & Costa, C. N. (2012). Persistency of lactation using random regression models and different fixed regression modeling approaches. Revista Brasileira de Zootecnia, 41(9), 1996-2004. doi: 10.1590/S1516-35982012000900005
Daltro, D. S., Padilha, A. H., Silva, M. V. G. B., Kern, E. L., Santos, D. C. A., Panetto, J. C. C., Gama, L. T., & Cobuci, J. A. (2019). Heterosis in the lactation curves of Girolando cows with emphasis on variations of the individual curves. Journal of Applied Animal Research, 47(1), 85-95. doi: 10.1080/09712119.2019.1575223
Dekkers, J. C., Ten Hag, J. H., & Werrsink, A. (1998). Economic aspects of persistency of lactation in dairy cattle. Livestock Production Science, 53(3), 237-252. doi: 10.1016/S0301-6226(97)00124-3
Elahi Torshizi, M. (2016). Effects of season and age at first calving on genetic and phenotypic characteristics of lactation curve parameters in Holstein cows. Journal of Animal Science and Technology58(8), 2-14. doi: 10.1186/s40781-016-0089-1
Farhangfar, H., & Naeemipour, H. (2007). Phenotypic study of lactation curve in Iranian Holsteins. Journal of Agricultural Science and Technology, 9(4), 279-286. doi: 20.1001.1.16807073.2007.9.4.8.9
Farhangfar, H., Nezamdoost, S., Montazar Torbati, M. B., & Asghari, M. R. (2018). Genetic analysis of Pollott-Gootwine mechanistic model parameters for lactation curve of Iranian dairy cows. Journal of Animal Science Research, 28(3), 31-46. [In Persian]
Fathi Nasri, M. H., France, J., Odongo, N. E., Lopez, S., Bannink, A., & Kebreab E. (2008). Modelling the lactation curve of dairy cows using the differentials of growth functions. Journal of Agricultural Science, 146(6), 633-641. doi: 10.1017/S0021859608008101
Ghavi Hossein-Zadeh, N. (2014). Comparison of non-linear models to describe the lactation curves
of milk yield and composition in Iranian Holsteins. Journal of Agricultural Science, 152, 309-324. doi: 10.1017/S0021859613000415
Ghavi Hossein-Zadeh, N. (2017). Application of growth models to describe the lactation curves for test-day milk production in Holstein cows. Journal of Applied Animal Research, 45(1), 145-151. doi: 10.1080/09712119.2015.1124336
Ghavi Hossein-Zadeh, N. (2019). Comparison of the parameters of the lactation curve between normal and difficult calvings in Iranian Holstein cows. Spanish Journal of Agricultural Research, 17(1), 1-13. doi: 10.5424/sjar/2019171-13673
Græsbøll, K., Kirkeby, C., Nielsen, S. S., Halasa, T., Toft, N., & Christiansen L. E. (2016). Models to estimate lactation curves of milk yield and somatic cell count in dairy cows at the herd level for the use in simulations and predictive models. Frontiers in Veterinary Science, 3, 1-10. doi: 10.3389/fvets.2016.00115
Grzesiak, W., Zaborski, D., Szatkowska, I., & Królaczyk, K. (2021). Lactation milk yield prediction in primiparous cows on a farm using the seasonal auto-regressive integrated moving average model, nonlinear autoregressive exogenous artificial neural networks and Wood’s model. Animal Bioscience, 34(4), 770-782. doi: 10.5713/ajas.19.0939
Grossman, M., Hartz, S. M., & Koops, W. J. (1999). Persistency of lactation yield: A novel approach. Journal of Dairy Science, 82(10), 2192-2197. doi: 10.3168/jds.S0022-0302(99)75464-0
ICAR (International Committee for Animal Recording). (2017). Introduction to the ICAR Guidelines: Section 2- Guidelines for Dairy Cattle Milk Recording. 27 p.
Izadkhah, R., Farhangfar, H., & Fathi Nasri, M. H. (2011). Application of Wilmink’s Exponential Function in Genetic Analysis of 305-d Milk Production and Lactation Persistency in Holstein Cows of Razavi Khorasan. Iranian Journal of Animal Science Research, 3(3), 297-303. doi: 10.22067/IJASR.V3I3.11307 [In Persian]
Izadkhah, R., Farhangfar, H., & Fathi Nasri, M. H. (2015). Application of Wilmink's exponential function in genetic analysis of peak milk yield and time traits for Holstein cows of Razavi Khorasan. Journal of Animal Science Research, 25(1), 141-150. [In Persian]
Lombaard, C. S. (2006). Hierarchical Bayesian modelling for the analysis of the lactation of dairy animals. Ph.D. Thesis. University of the Free State, Bloemfontein. 256 p.
Lopez, S., France, J., Odongo, N. E., McBride, R. A., Kebreab, E., AlZahal, O., McBride, B. W., & Dijkstra, J. (2015). On the analysis of Canadian Holstein dairy cow lactation curves using standard growth functions. Journal of Dairy Science, 98(4), 2701-2712. doi: 10.3168/jds.2014-8132
Macciotta, N. P. P., Vicario, D., & Cappio-Borlino, A. (2005). Detection of different shapes of lactation curve for milk yield in dairy cattle by empirical mathematical models. Journal of Dairy Science, 88(3), 1178-1191. doi: 10.3168/jds.S0022-0302(05)72784-3
Marumo, J. L., Lusseau, D., Speakman, J. R., Mackie, M., & Hambly, C. (2022). Influence of environmental factors and parity on milk yield dynamics in barn-housed dairy cattle. Journal of Dairy Science, 105(2), 1225-1241. doi: doi.org/10.3168/jds.2021-20698
Mavrogenis, A. P., & Papachristoforou, C. H. R. (1988). Estimation of the energy value of milk and prediction of fat-corrected milk yield in sheep and goats. Small Ruminant Research, 1, 229-236. doi: 10.1016/0921-4488(88)90051-X
Mohammadpanah, M., Farhangfar, H., & Bashtani, M. (2014). Phenotypic analysis of energy-corrected test day milk records in first-parity dairy cows. Journal of Ruminant Research, 2(3), 139-163. doi: 20.1001.1.23454253.1393.2.3.9.1 [In Persian]
Mohammadpanah, M., Farhangfar, H., & Bashtani, M. (2015). Genetic evaluation of Iranian first lactation Holstein cows based upon crude and energy-corrected test day milk records. Animal Production, 17(2), 183-197. doi: 10.18869/acadpub.rap.7.13.162 [In Persian]
Naeemipour Younesi, H., Shariati, M. M., & Zerehdaran, S. (2018). Effects of season and age at first caving on phenotypic and genetic characteristics of lactation curve parameters in primiparous Iranian Holstein cows. Animal Science Journal, 30(117), 163-176. doi: 10.22092/ASJ.2018.116054 [In Persian] 
Penagaricano, F. (2020). Genetics and genomics of dairy cattle (In: Animal Agriculture, Sustainability, Challenges and Innovations. Edited by: F. W. Bazer, G. C. Lamb and G. Wu), p. 101.
Saghanezhad, F., Atashi, H., Dadpasand, M., Zamiri M. J., & Shokri‐Sangari, F. (2017). Estimation of genetic parameters for lactation curve traits in Holstein dairy cows in Iran. Iranian Journal of Applied Animal Science, 7(4), 559-566.
Solkner, J., & Fuchs, W. (1987). A comparison of different measures of persistency with special respect to variation of test-day milk yields. Livestock Production Science, 16(4), 305-319. doi: 10.1016/0301-6226(87)90001-7
Stefanon, B., Colitti, M., Gabai, G., Knight, C. H., & Wilde, C. J. (2002). Mammary apoptosis and lactation persistency in dairy animals. Journal of Dairy Research, 69(1), 37-52. doi: 10.1017/S0022029901005246
Tekerli, M., Akinci, Z., Dogan, I., & Akcan, A. (2000). Factors affecting the shape of lactation curves of Holstein cows from the Balikesir province of Turkey. Journal of Dairy Science, 83(6), 1381-1386. doi: 10.3168/jds.S0022-0302(00)75006-5
Wood, P. D. P. (1967). Algebraic model of the lactation curve in cattle. Nature, 216,164-165. doi: 10.1038/216164A0