[
Abdel-Azim G.A., Freeman A.E., Kehrli Jr., M.E., Kelm S.C., Burton J.L., Kuck A.L., Schnell. S. (2005). Genetic basis and risk factors for infectious and noninfectious diseases in US Holsteins. Estimation of genetic parameters for single diseases and general health. J. Dairy Sci., 88: 1199–1207.
]Search in Google Scholar
[
Aerts, J., Kolenda M., Piwczyński D., Sitkowska B., Önder H. (2022). Forecasting milking efficiency of dairy cows milked in an automatic milking system using the decision tree technique. Animals, 12: 1040.
]Search in Google Scholar
[
Atashi H., Hostens M. (2021). GplusE consortium. Genetic parameters for milk urea and its relationship with milk yield and compositions in Holstein dairy cows. PLoS One, 16(6): e0253191.
]Search in Google Scholar
[
Antanaitis R., Žilaitis V., Juozaitienė V., Palubinskas G., Kučinskas A., Sederevičius A., Beliavska-Aleksiejūnė D. (2015). Efficient diagnostics and treatment of bovine mastitis according to herd management parameters. Vet. Med. Zoot., 69: 3–10.
]Search in Google Scholar
[
Berry D.P., Coyne J., Coughlan B., Burke M., McCarthy J., Enright B., Cromie A.R., McParland S. (2013). Genetics of milking characteristics in dairy cows. Animal, 7: 1750–1758.
]Search in Google Scholar
[
Bijl E., Van Valenberg H.J.F., Huppertz T., Van Hooijdonk A.C.M. (2013). Protein, casein, and micellar salts in milk: Current content and historical perspectives. J. Dairy Sci., 96: 5455–5464.
]Search in Google Scholar
[
Brito L.F., Bédère N., Douhard F., Oliveira H.R., Arnal M., Peñagaricano F., Schinckela A.P., Baesdg C.F., Miglior F. (2021). Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world. Animal, 1: 100292.
]Search in Google Scholar
[
Buaban S., Puangdee S., Duangjinda M., Boonkum W. (2020). Estimation of genetic parameters and trends for production traits of dairy cattle in Thailand using a multiple-trait multiple-lactation test day model. Asian-Australas. J. Anim. Sci., 33: 1387.
]Search in Google Scholar
[
Čítek J., Brzáková M., Hanusová L., Hanuš O., Večerek L., Samková E., Jozová E., Hoštičková I., Trávníček J., Klojda M., Hasoňová L. (2022). Somatic cell score: gene polymorphisms and other effects in Holstein and Simmental cows. Anim. Biosci., 35: 13–21.
]Search in Google Scholar
[
Czajkowska A., Sitkowska B., Piwczyński D., Wójcik P., Mroczkowski S. (2015). Genetic and environmental determinants of the urea level in cow’s milk. Arch. Anim. Breed., 58: 65–72.
]Search in Google Scholar
[
Fleming K. (2014). Variation of bioactive components in colostrum and milk from Canadian Holstein dairy cattle classified as high, average, or low immune responder. MSc Thesis. University of Guelph. https://atrium.lib.uoguelph.ca/xmlui/bitstream/handle/10214/8185/Fleming_Kelly_201406_MSc.pdf?sequence=3.
]Search in Google Scholar
[
Hayes J.F., Ng-Kwai-Hang K.F., Moxley J.E. (1984). Heritability of milk casein and genetic and phenotypic correlations with production traits. J. Dairy Sci., 67: 841–846.
]Search in Google Scholar
[
INTERBULL (2023). National genetic evaluation forms provided by countries. Available online: https://interbull.org/ib/geforms (accessed on 19 January 2023).
]Search in Google Scholar
[
IZOO (2021). Estimation of HF sire breeding values. National Research Institute of Animal Production. Available online: http://wycena.izoo.krakow.pl/doc/methods_2021_1_bulls.pdf (accessed on 19 January 2023).
]Search in Google Scholar
[
Kolenda M., Piwczyński D., Brzozowski M., Sitkowska B., Wójcik P. (2021). Composition and quality of milk of Polish Holstein-Friesian cows in conventional and automatic milking systems. Ann. Anim. Sci., 21: 709–720.
]Search in Google Scholar
[
Larmer S.G., Mallard B.A. (2017). High immune response sires reduce disease incidence in North American large commercial dairy populations. Cattle Pract., 25: 74–81.
]Search in Google Scholar
[
Mallard B.A., Cartwright S., Emam M., Fleming K., Gallo N., Hodgins D., Paibomesai M., Thompson-Crispi K., Wagter-Lesperance L. (2014). Doug genetic selection of cattle for improved immunity and health. Adv. Dairy Technol., 26: 247–257.
]Search in Google Scholar
[
Mallard B.A., Emam M., Paibomesai M., Thompson-Crispi K., Wagter-Lesperance L. (2015). Genetic selection of cattle for improved immunity and health. Jpn. J. Vet. Res.. 63 Suppl 1: 37–44.
]Search in Google Scholar
[
Mallard B.A., Wilkie B.N., Kennedy B.W., Quinton M. (1992). Use of estimated breeding values in a selection index to breed Yorkshire pigs for high and low immune and innate resistance factors. Anim. Biotechnol., 3: 257–280.
]Search in Google Scholar
[
Miglior F., Fleming A., Malchiodi F., Brito L.F., Martin P., Baes C.F. (2017). A 100-year review: Identification and genetic selection of economically important traits in dairy cattle. J. Dairy Sci., 100: 10251–10271.
]Search in Google Scholar
[
PFHBiPM (2022). Polish Federation of Cattle Breeders and Dairy Farmers. The Results of Breeding Value of Cattle, Data from 2010 to 2022. Available online: http://www.pfhb.home.pl (accessed on 20 December 2022).
]Search in Google Scholar
[
PFHBiPM (2023). Polish Federation of Cattle Breeders and Dairy Farmers. Milk recording. Available online: https://pfhb.pl/en/recording/milk-recording/recording (accessed on 20 January 2023).
]Search in Google Scholar
[
Piwczyński D., Kolenda M., Gondek J., Sitkowska B. (2021). Comparison of parameters of automatic milking in selected countries in European Union and United States. Livest. Sci., 61: 1–8.
]Search in Google Scholar
[
Piwczyński D., Sitkowska B., Kolenda M., Brzozowski M., Aerts J., Schork P.M. (2020). Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees. Anim. Sci. J., 91: e13414.
]Search in Google Scholar
[
Rzewuska K., Strabel T. (2013). Genetic parameters for milk urea concentration and milk traits in Polish Holstein-Friesian cows. J. Appl. Genet., 54: 473–482.
]Search in Google Scholar
[
Sawa A., Siatka K., Krężel-Czopek S. (2019). Effect of age at first calving on first lactation milk yield, lifetime milk production and longevity of cows. Ann. Anim. Sci., 19: 189–200.
]Search in Google Scholar
[
Shannon J.J., Mallard B.A., Thompson-Crispi K. (2015). The use of high immune response bulls in a herd. Proc. Large Herds Conference, 1–3.06.2015, Port Elizabeth, South Africa.
]Search in Google Scholar
[
Sitkowska B., Piwczynski D., Aerts J., Kolenda M., Özkaya S. (2017). Detection of high levels of somatic cells in milk on farms equipped with an automatic milking system by decision trees technique. Turk. J. Vet. Anim. Sci., 41: 532–540.
]Search in Google Scholar
[
Stoop C.L., Thompson-Crispi K.A., Cartwright S.L., Mallard. BA. (2016). Variation in production parameters among Canadian Holstein cows classified as high, average, and low immune responders. J. Dairy Sci., 99: 4870–4874.
]Search in Google Scholar
[
Thompson-Crispi K.A., Sewalem A., Miglior F., Mallard B.A. (2012 a). Genetic parameters of adaptive immune response traits in Canadian Holsteins. J. Dairy Sci., 95: 401–409.
]Search in Google Scholar
[
Thompson-Crispi K.A., Hine B., Quinton M., Miglior F., Mallard B.A. (2012 b). Association of disease incidence and adaptive immune response in Holstein dairy cows. J. Dairy Sci., 95: 3888–3893.
]Search in Google Scholar
[
Thompson-Crispi K., Atalla H., Miglior F., Mallard B.A. (2014). Bovine mastitis: frontiers in immunogenetics. Front. Immunol., 5: 493.
]Search in Google Scholar
[
Thompson-Crispi K.A., Cartwright S., Miglior F., Mallard B. (2015). The 3000 cow high immune response (hir) genomics project. Dairy Cattle Breeding & Genetics Committee Meeting. BestGenetics.
]Search in Google Scholar
[
Toghiani S. (2012). Genetic relationships between production traits and reproductive performance in Holstein dairy cows. Arch. Anim. Breed., 55: 458–468.
]Search in Google Scholar
[
Tyasi T.L., Gxasheka M., Tlabela C.P. (2015). Assessing the effect of nutrition on milk composition of dairy cows: A review. Int. J. Curr. Sci. Res. Rev., 17: 56–63. Wagter L.C., Mallard B.A., Wilkie B.N., Leslie K.E., Boettcher P.J., Dekkers J.C. (2003).
]Search in Google Scholar
[
The relationship between milk production and antibody response to ovalbumin during the peripartum period. J. Dairy Sci., 86: 169–73.
]Search in Google Scholar
[
Wagter L.C., Mallard B.A., Wilkie B.N., Leslie K.E., Boettcher P.J., Dekkers J.C. (2000). A quantitative approach to classifying Holstein cows based on antibody responsiveness and its relationship to peripartum mastitis occurrence. J. Dairy Sci., 83: 488–498.
]Search in Google Scholar
[
Wagter-Lesparance L.C., Mallard B.A. (2007). University of Guelph 2007. Method of Identifying Immune Response Animals. United States Patent US 7.258.858 B2.
]Search in Google Scholar
