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Association between culling reasons and lactation curve components in Holstein cows

Published online by Cambridge University Press:  04 December 2025

Nadia Hamdi Fahim
Affiliation:
Animal Production Department, Faculty of Agriculture, Cairo University, Giza, Egypt
Mohammed Hamed Eldawy
Affiliation:
Animal Production Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
Tharwat Imbabi
Affiliation:
Animal Production Department, Faculty of Agriculture, Benha University, Moshtohor, Egypt
Mohammed Hamdy Farouk*
Affiliation:
Animal Production Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
Mohammed Hassan Bakr
Affiliation:
Animal Production Department, Faculty of Agriculture, Cairo University, Giza, Egypt
*
Corresponding author: Mohammed Hamdy Farouk; Email: mhfarouk@azhar.edu.eg

Abstract

The lactation curve expresses the pattern of milk production throughout the lactation period. Such a curve provides insights to assist in designing proper management strategies. Culling dairy cows directly influences the farm economy and animal welfare. The lactation curve components (LCC) of culled Holstein cows, compared with those of retained cows, have not been studied. This study aims to investigate the LCC in culled Holstein cows compared with those retained unculled in the same herd. This research included 27,297 complete lactation records for Holstein cows described as retained or culled for low milk yield, reproductive disorders, udder problems, metabolic disorders, locomotive problems, endemic diseases, respiratory diseases and unknown reasons. The incomplete gamma function was fitted to estimate LCC, as represented by initial milk yield (IMY), the rate of milk increase to peak, the rate of milk decline after peak, peak yield (PY), time to reach peak and persistency. The general linear model was applied to analyse the effects of stayability class (retained/culled) on LCC. Cows culled for reproductive disorders showed no significant differences in LCC compared to retained cows, but they spent more days in milk (54.9 weeks) than retained cows (48.9 weeks). Except for those with reproductive disorders, all culled cows exhibited shorter lactation lengths, higher rates of milk decline after peak, shorter times to attain PY and lower persistence than retained cows. In addition, cows culled for metabolic disorders exhibited higher initial milk (35 kg) and peak milk yields (44.2 kg) than the retained cows and those culled for other reasons. In conclusion, by linking culling causes to milk production trends, this research equips farmers to identify risks earlier, such as tracking milk decline onset and adapting management to retain healthier, high-value cows longer. This strategy could reduce costs, enhance milk output and improve herd welfare on dairy farms.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation.

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References

Abutarbush, S, Ababneh, M, Al Zoubi, I, Al Sheyab, O, Al Zoubi, M, Alekish, M and Al Gharabat, R (2015) Lumpy skin disease in J ordan: disease emergence, clinical signs, complications and preliminary‐associated economic losses. Transboundary and Emerging Diseases 62(5), 549554.CrossRefGoogle Scholar
Ali, TM, Narang, R, Dubey, P and Kaur, S (2023) Characterization of lactation curve patterns using non-linear models in crossbred dairy cattle. Indian Journal of Animal Research 57(3), 290297.Google Scholar
Andersen, F, Østerås, O, Reksen, O, Toft, N and Gröhn, YT (2011) Associations between the time of conception and the shape of the lactation curve in early lactation in Norwegian dairy cattle. Acta Veterinaria Scandinavica 53, 18.CrossRefGoogle ScholarPubMed
Atashi, H, Asaadi, A and Hostens, M (2021) Association between age at first calving and lactation performance, lactation curve, calving interval, calf birth weight, and dystocia in Holstein dairy cows. PloS One 16(1), e0244825.CrossRefGoogle ScholarPubMed
Bahashwan, S and Alfadli, S (2014) Dhofari cow's potentiality of milk production and lactation curve. Net Journal of Agricultural Science 2(2), 7478.Google Scholar
Capuco, A, Ellis, S, Hale, S, Long, E, Erdman, R, Zhao, X and Paape, M (2003) Lactation persistency: insights from mammary cell proliferation studies. Journal of Animal Science 81(15_suppl_3), 1831.10.2527/2003.81suppl_318xCrossRefGoogle ScholarPubMed
Do, D, Bissonnette, N, Lacasse, P, Miglior, F, Sargolzaei, M, Zhao, X and Ibeagha-Awemu, E (2017) Genome-wide association analysis and pathways enrichment for lactation persistency in Canadian Holstein cattle. Journal of Dairy Science 100(3), 19551970.10.3168/jds.2016-11910CrossRefGoogle ScholarPubMed
Duque, NP, Casellas, J, Quijano, JH, Casals, R and Such, X (2018) Fitting lactation curves in a Colombian Holstein herd using nonlinear models. Revista Facultad Nacional de Agronomía Medellín 71(2), 84598468.CrossRefGoogle Scholar
Fahim, NH, Ibrahim, M-A-AM, Amin, AH and Sadek, RR (2021) Milk production and reproductive performance of retained and culled cows in a Large Holstein Herd in Egypt. World's Veterinary Journal 3, 474483.10.54203/scil.2021.wvj61CrossRefGoogle Scholar
Harder, B, Bennewitz, J, Hinrichs, D and Kalm, E (2006) Genetic parameters for health traits and their relationship to different persistency traits in German Holstein dairy cattle. Journal of Dairy Science 89(8), 32023212.10.3168/jds.S0022-0302(06)72595-4CrossRefGoogle ScholarPubMed
Hostens, M, Ehrlich, J, Van Ranst, B and Opsomer, G (2012) On-farm evaluation of the effect of metabolic diseases on the shape of the lactation curve in dairy cows through the MilkBot lactation model. Journal of Dairy Science 95(6), 29883007.10.3168/jds.2011-4791CrossRefGoogle ScholarPubMed
Jiang, H, Hickson, R, Woods, O, Morandeau, M, Burke, J, Correa-Luna, M, Donaghy, D and Lopez-Villalobos, N (2020) Persistency and lactation curves modelled using nonlinear random regression in dairy cows milked once a day. New Zealand Journal of Animal Science and Production 80, 131136.Google Scholar
Jingar, S, Mehla, R, Singh, M and Roy, A (2014) Lactation curve pattern and prediction of milk production performance in crossbred cows. Journal of Veterinary Medicine 2014(1), 814768.CrossRefGoogle ScholarPubMed
Kramarenko, O (2023) Investigating lactation curve characteristics of dairy cows. Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies. Series: Agricultural Sciences 25(98), 310.10.32718/nvlvet-a9801CrossRefGoogle Scholar
Lee, M, Lee, S, Park, J and Seo, S (2020) Clustering and characterization of the lactation curves of dairy cows using K-medoids clustering algorithm. Animals 10(8), 1348.CrossRefGoogle ScholarPubMed
Marumo, J, Lusseau, D, Speakman, J, Mackie, M and Hambly, C (2022) Influence of environmental factors and parity on milk yield dynamics in barn-housed dairy cattle. Journal of Dairy Science 105(2), 12251241.10.3168/jds.2021-20698CrossRefGoogle ScholarPubMed
Mellado, M, Pérez, E, Morales, JL, Macías-Cruz, U, Avendaño-Reyes, L, Guillén, M and García, JE (2021) Risk factors associated with testing positive for tuberculosis in high-yielding Holstein cows. Tropical Animal Health and Production 53, 18.10.1007/s11250-021-02599-1CrossRefGoogle ScholarPubMed
Moru, NH, Umoh, J, Maikai, B, Barje, P and Adeyinka, I (2017) Prevalence of clinical mastitis and the suitability of gamma function in predicting milk yield of mastitic and non-mastitic Friesian x Bunaji dairy cows in Zaria, Nigeria. Agriculture and Veterinary Science (IOSR-JAVS) 15(5), 97102.Google Scholar
Muir, B, Fatehi, J and Schaeffer, L (2004) Genetic relationships between persistency and reproductive performance in first-lactation Canadian Holsteins. Journal of Dairy Science 87(9), 30293037.10.3168/jds.S0022-0302(04)73435-9CrossRefGoogle ScholarPubMed
Niozas, G, Tsousis, G, Malesios, C, Steinhöfel, I, Boscos, C, Bollwein, H and Kaske, M (2019) Extended lactation in high-yielding dairy cows. II. Effects on milk production, udder health, and body measurements. Journal of Dairy Science 102(1), 811823.CrossRefGoogle ScholarPubMed
Omar, AI, Khan, MYA, Su, X, Dhakal, A, Hossain, S, Razu, MT, Si, J, Pauciullo, A, Faruque, MO and Zhang, Y (2024) Factors affecting the milk production traits and lactation curve of the indigenous River buffalo populations in Bangladesh. Animals 14(8), 1248.10.3390/ani14081248CrossRefGoogle ScholarPubMed
Onono, JO, Wieland, B and Rushton, J (2013) Constraints to cattle production in a semiarid pastoral system in Kenya. Tropical Animal Health and Production 45, 14151422.CrossRefGoogle Scholar
Onyiro, O, Offer, J and Brotherstone, S (2008) Risk factors and milk yield losses associated with lameness in Holstein-Friesian dairy cattle. Animal 2(8), 12301237.10.1017/S1751731108002279CrossRefGoogle ScholarPubMed
Ranzato, G, Aernouts, B, Lora, I, Adriaens, I, Abdelkrim, AB, Gote, M and Cozzi, G (2024) Comparison of 3 mathematical models to estimate lactation performance in dairy cows. Journal of Dairy Science 107(9), 68886901.10.3168/jds.2023-24224CrossRefGoogle Scholar
Senturk, B and Yalcin, C (2005) Financial impact of foot-and-mouth disease in Turkey: acquisition of required data via Delphi expert opinion survey. Veterinární Medicína 50(10), 451460.CrossRefGoogle Scholar
Strapáková, E, Candrák, J and Strapák, P (2016) Genetic relationship of lactation persistency with milk yield, somatic cell score, reproductive traits, and longevity in Slovak Holstein cattle. Archives Animal Breeding 59(3), 329335.CrossRefGoogle Scholar
Torshizi, ME, Mashhadi, MH and Farhangfar, H (2019) Different aspects of lactation persistency in dairy cows. The Indian Journal of Animal Sciences 89(6), 607614.10.56093/ijans.v89i6.91098CrossRefGoogle Scholar
Walsh, S, Williams, E and Evans, A (2011) A review of the causes of poor fertility in high milk producing dairy cows. Animal Reproduction Science 123(3-4), 127138.CrossRefGoogle ScholarPubMed
Wood, P (1967) Algebraic model of the lactation curve in cattle. Nature 216(5111), 164165.10.1038/216164a0CrossRefGoogle Scholar
Yamazaki, T, Hagiya, K, Takeda, H, Yamaguchi, S, Osawa, T and Nagamine, Y (2014) Genetic correlations among female fertility, 305-day milk yield and persistency during the first three lactations of Japanese Holstein cows. Livestock Science 168, 2631.CrossRefGoogle Scholar
Yamazaki, T, Takeda, H, Nishiura, A and Togashi, K (2009) Relationship between the lactation curve and udder disease incidence in different lactation stages in first-lactation Holstein cows. Animal Science Journal 80(6), 636643.10.1111/j.1740-0929.2009.00695.xCrossRefGoogle ScholarPubMed
Yıldırır, M (2024) Factors effecting the lactation curve parameters of Brown Swiss and Jersey cows in Türkiye. Journal of the Hellenic Veterinary Medical Society 75(2), 76037610.10.12681/jhvms.35368CrossRefGoogle Scholar
Zavadilová, L, Němcová, E, Přibyl, J and Wolf, J (2005) Definition of subgroups for fixed regression in the test-day animal model for milk production of Holstein cattle in the Czech Republic. Czech Journal of Animal Science 50(1), 713.10.17221/3976-CJASCrossRefGoogle Scholar