Research Article
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Year 2025, Volume: 65 Issue: 1, 26 - 32, 30.06.2025
https://doi.org/10.46897/livestockstudies.1725764

Abstract

References

  • Adamczyk, K., Gil, Z., Felenczak, A., Skrzyński, G., Zapletal, P., Choroszy, Z. (2011). Relationship between milk yield of cows and their 24-hour walking activity.
  • Aghamohammadi, M., Haine, D., Kelton, D. F., Barkema, H. W., Hogeveen, H., Keefe, G. P., Dufour, S. (2018). Herd-level mastitis-associated costs on Canadian dairy farms. Frontiers in Veterinary Science, 5, 100. https://doi.org/10.3389/fvets.2018.00100
  • Alaçam, E., Alpan, O., Tekeli, T. (1983). Süt ineklerinde bazı meme ölçümleri ve süt verimi ile ilgili subklinik mastitis arasındaki ilişkiler. Lalahan Hayvancılık Araştırma Enstitüsü Dergisi, 23(3-4), 85–99.
  • Arslan, E., Karaman, Ö., Tok, M., Kuzucu, U., İnal, Ş. (2024). Küresel Isınmanın Çiftlik Hayvanlarında Sürü Sağlığı ve Verimliliği Üzerine Etkisi. Manas Journal of Agriculture Veterinary ve Yaşam Bilimleri, 14(1), 82-91. https://doi.org/10.53518/mjavl.1388101
  • Atasever, S., Erdem, H. (2008). Süt sığırlarında mastitis ile sütün elektriksel iletkenliği arasındaki ilişkiler. Anadolu Tarım Bilimleri Dergisi, 23(2), 131–136. https://doi.org/10.7161/anajas.2008.23.2.131-136
  • Bayrakdar, A., Mendi, H. E., Kul, E. (2024). Siyah Alaca İneklerde Süt Elektriksel İletkenlik ile Süt Verimi, Sağım ve Meme Özellikleri Arasındaki İlişkiler. Hayvan Bilimi ve Ürünleri Dergisi, 7(2), 121–133. https://doi.org/10.51970/jasp.1576484
  • Bruckmaier, R. M., Weiss, D., Wiedemann, M., Schmitz, S., Wendl, G. (2004). Changes of physicochemical indicators during mastitis and the effects of milk ejection on their sensitivity. Journal of Dairy Research, 71(3), 316–321. https://doi.org/10.1017/S0022029904000366
  • Cavero, D., Tölle, K. H., Buxadé, C., Krieter, J. (2006). Mastitis detection in dairy cows by application of fuzzy logic. Livestock Science, 105, 207–213. https://doi.org/10.1016/j.livsci.2006.06.006
  • Chapinal, N., de Passillé, A. M., Pastell, M., Hänninen, L., Munksgaard, L., Rushen, J. (2011). Measurement of acceleration while walking as an automated method for gait assessment in dairy cattle. Journal of Dairy Science, 94(6), 2895–2901. https://doi.org/10.3168/jds.2010-3882
  • Çelik, Ö. (2020). Aydın ili Söke ilçesinde siyah-alaca sütçü ineklerde subklinik mastitis prevalansının belirlenmesi [Master’s thesis]. Aydın Adnan Menderes Üniversitesi Sağlık Bilimleri Enstitüsü.
  • Dağ, B., Zulkadir, U. (2024). Ankara Etimesgut’daki Bazı Süt Sığırı İşletmelerindeki İneklerin Süt Bileşenlerinin ve Bunlara Etkili Faktörlerin Belirlenmesi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 27(2), 478–488. https://doi.org/10.18016/ksutarimdoga.vi.1295074
  • Davis, J. G. (1947). The rapid abnormality indicator. A simple electrical apparatus for the rapid detection of abnormal (mastitis) milk. Dairy Industries, 12(1), 35.
  • Erzurum, O. (2024). Küresel İklim Değişiklikleri ve Süt Sığırı Yetiştiriciliği. Manas Journal of Agriculture, Veterinary and Life Sciences, 14(1), 92-100.
  • Erzurum, O., Kayar, T. (2024). Evaluation of the Relationship of Some Environmental Factors and Number of Inseminations per Pregnancy with Milk Yield in Holstein Cows. Livestock Studies, 64(1), 32–37. https://doi.org/10.46897/livestockstudies.1512318
  • Eşki, F., Kurt, S. (2021). Holstein süt ineklerinde laktasyon sayısının süt verimine etkisi. Türk Veterinerlik Araştırmaları Dergisi, 5(1), 1–4. https://doi.org/10.47748/tjvr.772135
  • Firth, C. L., Laubichler, C., Schleicher, C., Fuchs, K., Käsbohrer, A., Egger-Danner, C., Obritzhauser, W. (2019). Relationship between the probability of veterinary-diagnosed bovine mastitis occurring and farm management risk factors on small dairy farms in Austria. Journal of Dairy Science, 102(5), 4452–4463. https://doi.org/10.3168/jds.2018-15657
  • Goodling, R. C., Rogers, G. W., Cooper, J. B., Rune, B. (2000). Heritability estimates for electrical conductivity of milk and correlations with predicted transmitting abilities for somatic cell scores. Journal of Dairy Science, 83(Suppl 1), 71.
  • Guimarães, J. L., Brito, M. A., Lange, C. C., Silva, M. R., Ribeiro, J. B., Mendonça, L. C., Souza, G. N. (2017). Estimate of the economic impact of mastitis: A case study in a Holstein dairy herd under tropical conditions. Preventive Veterinary Medicine, 142, 46–50. https://doi.org/10.1016/j.prevetmed.2017.04.011
  • Hamann, J., Zecconi, A. (1998). Evaluation of the electrical conductivity of milk as a mastitis indicator. Bulletin of the International Dairy Federation, 334, 5–22.
  • Hillerton, J. E., Walton, A. W. (1991). Identification of subclinical mastitis with a hand-held electrical conductivity meter. Veterinary Record, 128(22), 513–515.
  • Inzaghi, V., Zucali, M., Thompson, P. D., Penry, J. F., Reinemann, D. J. (2021). Changes in electrical conductivity, milk production rate and milk flow rate prior to clinical mastitis confirmation. Italian Journal of Animal Science, 20(1), 1554–1561. https://doi.org/10.1080/1828051X.2021.1984852
  • Janzekovic, M., Brus, M., Mursec, B., Vinis, P., Stajnko, D., Cus, F. (2009). Mastitis detection based on electric conductivity of milk. Journal of Achievements in Materials and Manufacturing Engineering, 34, 39–46.
  • Johri, A., Arora, N., Maansi, M. M., Singh, S. P., Singh, J. L. (2023). Milk electrical conductivity: An early tool to detect mastitis in buffaloes. The Pharma Innovation Journal, 12(4), 578–580.
  • Kadzere, C. T., Murphy, M. R., Silanikove, N., Maltz, E. (2002). Heat stress in lactating dairy cows: A review. Livestock Production Science, 77(1), 59–91. https://doi.org/10.1016/S0301-6226(01)00330-X
  • Kerslake, J. I., Amer, P. R., O’Neil, P. L., Wong, S. L., Roche, J. R., Phyn, C. V. C. (2018). Economic costs of recorded reasons for cow mortality and culling in a pasture-based dairy industry. Journal of Dairy Science, 101, 1795–1803. https://doi.org/10.3168/jds.2017-13124
  • Kurt, M., Kaygısız, A. (2024). Siyah Alaca, Kırmızı Alaca ve Simental sığır sütlerinde somatik hücre sayısı ile süt amiloid A, elektriksel iletkenlik ve pH arasındaki ilişkiler. Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi, 29(1), 120–132. https://doi.org/10.37908/mkutbd.1340860
  • Mottram, T., Rudnitskaya, A., Legin, A., Fitzpatrick, J. L., Eckersall, P. D. (2007). Evaluation of a novel chemical sensor system to detect clinical mastitis in bovine milk. Biosensors and Bioelectronics, 22(11), 2689–2693. https://doi.org/10.1016/j.bios.2006.11.006
  • National Research Council (NRC). (2001). Nutrient requirements of dairy cattle (7th rev. ed.). National Academies Press.
  • Nielen, M., Deluyker, H., Schukken, Y. H., Brand, A. (1992). Electrical conductivity of milk: measurement, modifiers, and meta-analysis of mastitis detection performance. Journal of Dairy Science, 75, 606–614. https://doi.org/10.3168/jds.S0022-0302(92)77798-4
  • Nielen, M., Schukken, Y. H., Van De Broek, J., Brand, A., Deluyker, H. A., Maatje, K. (1993). Relations between on-line electrical conductivity and daily milk production on a low somatic cell count farm. Journal of Dairy Science, 76, 2589–2596. https://doi.org/10.3168/jds.S0022-0302(93)77593-1
  • Norberg, E., Hogeveen, H., Korsgaard, I. R., Friggens, N. C., Sloth, K. H. M. N., Løvendahl, P. (2004). Electrical conductivity of milk: ability to predict mastitis status. Journal of Dairy Science, 87, 1099–1107. https://doi.org/10.3168/jds.S0022-0302(04)73256-7
  • Norberg, E. (2005). Electrical conductivity of milk as a phenotypic and genetic indicator of bovine mastitis: a review. Livestock Production Science, 96, 129–139. https://doi.org/10.1016/j.livprodsci.2004.12.014
  • Ordolff, D. (2001). Introduction of electronics into milking technology. Computers and Electronics in Agriculture, 30, 125–149. https://doi.org/10.1016/S0168-1699(00)00161-7
  • Özçelik, M., Arpacık, R. (2000). The Effect of Lactation Number on Milk Production and Reproduction in Holstein Cows. Turkish Journal of Veterinary & Animal Sciences, 24(1). https://journals.tubitak.gov.tr/veterinary/vol24/iss1/6
  • Özdemir, S., Kaymaz, M. (2013). Küçük aile işletmelerinde yetiştirilen ineklerde subklinik mastitis insidensi ve tanı yöntemlerinin karşılaştırılması. Atatürk Üniversitesi Veteriner Bilimleri Dergisi, 8(1), 71–79.
  • Rogers, G. W. (2002). Aspects of milk composition, productive life and type traits in relation to mastitis and other diseases in dairy cattle. 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France.
  • Samaraweera, A. M., van der Werf, J. H., Boerner, V., Hermesch, S. (2022). Economic values for production, fertility and mastitis traits for temperate dairy cattle breeds in tropical Sri Lanka. Journal of Animal Breeding and Genetics, 139(3), 330–341. https://doi.org/10.1111/jbg.12667
  • Sarıözkan, S. (2019). Türkiye’de süt sığırcılığı işletmelerinde mastitis nedeniyle oluşan finansal kayıpların tahmin edilmesi. Harran Üniversitesi Veteriner Fakültesi Dergisi, 8(2), 147–151. https://doi.org/10.31196/huvfd.667550
  • Sheldrake, R. F., Hoare, R. J. T., McGregor, G. D. (1983). Lactation stage, parity, and infection affecting somatic cells, electrical conductivity, and serum albumin in milk. Journal of Dairy Science, 66(3), 542–547. https://doi.org/10.3168/jds.S0022-0302(83)81823-2
  • Špauskas, V., Klimiene, I., Matusevičius, A. (2006). A comparison of indirect methods for diagnosis of subclinical mastitis in lactating dairy cows. Veterinarski Arhiv, 76(2), 101–109.
  • Tatlısu, B., Zulkadir, U. (2024). Siyah Alaca Sığırlarda Erken Laktasyon Dönemindeki Süt Bileşimleri ve Etkili Faktörlerin Belirlenmesi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 27(3), 735-747. https://doi.org/10.18016/ksutarimdoga.vi.1295107
  • Tekerli, M. (2000). Main Factors Affecting Milk Yield Traits of Holstein Cattle Bred under The Conditions of Different Operations, and Essential Parameters to Selection I. Effects of Environment and Heredity on the Shape of Lactation Curve in Holsteins. Lalahan Hayvancılık Araştırma Enstitüsü Dergisi, 40(1), 1–13.
  • Timurkan, H. (2004). İneklerde yaş ve ırkın sütün elektriksel iletkenliği üzerine etkisi. DAÜM Dergisi, 2, 55–58.
  • Timurkan, H. (2014). İneklerde California Mastitis Testi ve sütün elektrik iletkenliğinin karşılaştırılması. Fırat Üniversitesi Sağlık Bilimleri Veteriner Dergisi, 28(3), 135–136.
  • Veerkamp, R. F., Brotherstone, S. (1997). Genetic correlations between linear type traits, food intake, live weight and condition score in Holstein Friesian dairy cattle. Animal Science, 64(3), 385–392. https://doi.org/10.1017/S1357729800015976
  • Vijayakumar, M., Park, J. H., Ki, K. S., Lim, D. H., Kim, S. B., Park, S. M., Jeong, H. Y., Park, B. Y., Kim, T. I. (2017). The effect of lactation number, stage, length, and milking frequency on milk yield in Korean Holstein dairy cows using automatic milking system. *Asian-Australasian Journal of Animal Sciences, 30*(8), 1093–1098. https://doi.org/10.5713/ajas.16.0882
  • Vilas Boas, D. F., Vercesi Filho, A. E., Pereira, M. A., Roma Junior, L. C., El Faro, L. (2017). Association between electrical conductivity and milk production traits in Dairy Gyr cows. Journal of Applied Animal Research, 45(1), 227–233. http://dx.doi.org/10.1080/09712119.2016.1150849
  • Wilmink, J. B. M. (1987). Adjustment of test-day milk, fat and protein yield for age, season and stage of lactation. Livestock Production Science, 16(4), 335–348. https://doi.org/10.1016/0301-6226(87)90003-0

Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows during the Lactation Period

Year 2025, Volume: 65 Issue: 1, 26 - 32, 30.06.2025
https://doi.org/10.46897/livestockstudies.1725764

Abstract

This study aimed to evaluate the relationships between milk yield and variables such as milk electrical conductivity, animal activity, age, and lactation number. The study was based on 2022 data from Holstein cows on a private dairy farm located in the Karapınar district of Konya, Türkiye. Cows were fed a total mixed ration with a roughage-to-concentrate ratio of 55:45 and 17.5% crude protein. Data were obtained from the farm’s computerized herd management system, which recorded daily data on milk yield, milk conductivity, and animal activity for each cow. Pearson correlation analysis and one-way analysis of variance (ANOVA) were used to analyze the data. A significant positive correlation was found between milk yield and both age (r = 0.353, P<0.01) and lactation number (r = 0.269, P<0.01). However, the correlation between milk conductivity and milk yield was weak and not statistically significant (r =-0.086). ANOVA results revealed that milk yield differed significantly among age groups (P<0.001), with cows aged 4–5 years producing more milk than younger cows aged 1–3 years. These findings suggest that age and lactation number significantly affect milk yield, whereas milk conductivity and animal activity are not directly related to production. Although these factors may not directly influence milk yield, the results can provide a useful basis for developing herd management strategies that support animal health, economic outcomes, and farm efficiency. Future research involving different breeds or production systems could further validate these findings.

References

  • Adamczyk, K., Gil, Z., Felenczak, A., Skrzyński, G., Zapletal, P., Choroszy, Z. (2011). Relationship between milk yield of cows and their 24-hour walking activity.
  • Aghamohammadi, M., Haine, D., Kelton, D. F., Barkema, H. W., Hogeveen, H., Keefe, G. P., Dufour, S. (2018). Herd-level mastitis-associated costs on Canadian dairy farms. Frontiers in Veterinary Science, 5, 100. https://doi.org/10.3389/fvets.2018.00100
  • Alaçam, E., Alpan, O., Tekeli, T. (1983). Süt ineklerinde bazı meme ölçümleri ve süt verimi ile ilgili subklinik mastitis arasındaki ilişkiler. Lalahan Hayvancılık Araştırma Enstitüsü Dergisi, 23(3-4), 85–99.
  • Arslan, E., Karaman, Ö., Tok, M., Kuzucu, U., İnal, Ş. (2024). Küresel Isınmanın Çiftlik Hayvanlarında Sürü Sağlığı ve Verimliliği Üzerine Etkisi. Manas Journal of Agriculture Veterinary ve Yaşam Bilimleri, 14(1), 82-91. https://doi.org/10.53518/mjavl.1388101
  • Atasever, S., Erdem, H. (2008). Süt sığırlarında mastitis ile sütün elektriksel iletkenliği arasındaki ilişkiler. Anadolu Tarım Bilimleri Dergisi, 23(2), 131–136. https://doi.org/10.7161/anajas.2008.23.2.131-136
  • Bayrakdar, A., Mendi, H. E., Kul, E. (2024). Siyah Alaca İneklerde Süt Elektriksel İletkenlik ile Süt Verimi, Sağım ve Meme Özellikleri Arasındaki İlişkiler. Hayvan Bilimi ve Ürünleri Dergisi, 7(2), 121–133. https://doi.org/10.51970/jasp.1576484
  • Bruckmaier, R. M., Weiss, D., Wiedemann, M., Schmitz, S., Wendl, G. (2004). Changes of physicochemical indicators during mastitis and the effects of milk ejection on their sensitivity. Journal of Dairy Research, 71(3), 316–321. https://doi.org/10.1017/S0022029904000366
  • Cavero, D., Tölle, K. H., Buxadé, C., Krieter, J. (2006). Mastitis detection in dairy cows by application of fuzzy logic. Livestock Science, 105, 207–213. https://doi.org/10.1016/j.livsci.2006.06.006
  • Chapinal, N., de Passillé, A. M., Pastell, M., Hänninen, L., Munksgaard, L., Rushen, J. (2011). Measurement of acceleration while walking as an automated method for gait assessment in dairy cattle. Journal of Dairy Science, 94(6), 2895–2901. https://doi.org/10.3168/jds.2010-3882
  • Çelik, Ö. (2020). Aydın ili Söke ilçesinde siyah-alaca sütçü ineklerde subklinik mastitis prevalansının belirlenmesi [Master’s thesis]. Aydın Adnan Menderes Üniversitesi Sağlık Bilimleri Enstitüsü.
  • Dağ, B., Zulkadir, U. (2024). Ankara Etimesgut’daki Bazı Süt Sığırı İşletmelerindeki İneklerin Süt Bileşenlerinin ve Bunlara Etkili Faktörlerin Belirlenmesi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 27(2), 478–488. https://doi.org/10.18016/ksutarimdoga.vi.1295074
  • Davis, J. G. (1947). The rapid abnormality indicator. A simple electrical apparatus for the rapid detection of abnormal (mastitis) milk. Dairy Industries, 12(1), 35.
  • Erzurum, O. (2024). Küresel İklim Değişiklikleri ve Süt Sığırı Yetiştiriciliği. Manas Journal of Agriculture, Veterinary and Life Sciences, 14(1), 92-100.
  • Erzurum, O., Kayar, T. (2024). Evaluation of the Relationship of Some Environmental Factors and Number of Inseminations per Pregnancy with Milk Yield in Holstein Cows. Livestock Studies, 64(1), 32–37. https://doi.org/10.46897/livestockstudies.1512318
  • Eşki, F., Kurt, S. (2021). Holstein süt ineklerinde laktasyon sayısının süt verimine etkisi. Türk Veterinerlik Araştırmaları Dergisi, 5(1), 1–4. https://doi.org/10.47748/tjvr.772135
  • Firth, C. L., Laubichler, C., Schleicher, C., Fuchs, K., Käsbohrer, A., Egger-Danner, C., Obritzhauser, W. (2019). Relationship between the probability of veterinary-diagnosed bovine mastitis occurring and farm management risk factors on small dairy farms in Austria. Journal of Dairy Science, 102(5), 4452–4463. https://doi.org/10.3168/jds.2018-15657
  • Goodling, R. C., Rogers, G. W., Cooper, J. B., Rune, B. (2000). Heritability estimates for electrical conductivity of milk and correlations with predicted transmitting abilities for somatic cell scores. Journal of Dairy Science, 83(Suppl 1), 71.
  • Guimarães, J. L., Brito, M. A., Lange, C. C., Silva, M. R., Ribeiro, J. B., Mendonça, L. C., Souza, G. N. (2017). Estimate of the economic impact of mastitis: A case study in a Holstein dairy herd under tropical conditions. Preventive Veterinary Medicine, 142, 46–50. https://doi.org/10.1016/j.prevetmed.2017.04.011
  • Hamann, J., Zecconi, A. (1998). Evaluation of the electrical conductivity of milk as a mastitis indicator. Bulletin of the International Dairy Federation, 334, 5–22.
  • Hillerton, J. E., Walton, A. W. (1991). Identification of subclinical mastitis with a hand-held electrical conductivity meter. Veterinary Record, 128(22), 513–515.
  • Inzaghi, V., Zucali, M., Thompson, P. D., Penry, J. F., Reinemann, D. J. (2021). Changes in electrical conductivity, milk production rate and milk flow rate prior to clinical mastitis confirmation. Italian Journal of Animal Science, 20(1), 1554–1561. https://doi.org/10.1080/1828051X.2021.1984852
  • Janzekovic, M., Brus, M., Mursec, B., Vinis, P., Stajnko, D., Cus, F. (2009). Mastitis detection based on electric conductivity of milk. Journal of Achievements in Materials and Manufacturing Engineering, 34, 39–46.
  • Johri, A., Arora, N., Maansi, M. M., Singh, S. P., Singh, J. L. (2023). Milk electrical conductivity: An early tool to detect mastitis in buffaloes. The Pharma Innovation Journal, 12(4), 578–580.
  • Kadzere, C. T., Murphy, M. R., Silanikove, N., Maltz, E. (2002). Heat stress in lactating dairy cows: A review. Livestock Production Science, 77(1), 59–91. https://doi.org/10.1016/S0301-6226(01)00330-X
  • Kerslake, J. I., Amer, P. R., O’Neil, P. L., Wong, S. L., Roche, J. R., Phyn, C. V. C. (2018). Economic costs of recorded reasons for cow mortality and culling in a pasture-based dairy industry. Journal of Dairy Science, 101, 1795–1803. https://doi.org/10.3168/jds.2017-13124
  • Kurt, M., Kaygısız, A. (2024). Siyah Alaca, Kırmızı Alaca ve Simental sığır sütlerinde somatik hücre sayısı ile süt amiloid A, elektriksel iletkenlik ve pH arasındaki ilişkiler. Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi, 29(1), 120–132. https://doi.org/10.37908/mkutbd.1340860
  • Mottram, T., Rudnitskaya, A., Legin, A., Fitzpatrick, J. L., Eckersall, P. D. (2007). Evaluation of a novel chemical sensor system to detect clinical mastitis in bovine milk. Biosensors and Bioelectronics, 22(11), 2689–2693. https://doi.org/10.1016/j.bios.2006.11.006
  • National Research Council (NRC). (2001). Nutrient requirements of dairy cattle (7th rev. ed.). National Academies Press.
  • Nielen, M., Deluyker, H., Schukken, Y. H., Brand, A. (1992). Electrical conductivity of milk: measurement, modifiers, and meta-analysis of mastitis detection performance. Journal of Dairy Science, 75, 606–614. https://doi.org/10.3168/jds.S0022-0302(92)77798-4
  • Nielen, M., Schukken, Y. H., Van De Broek, J., Brand, A., Deluyker, H. A., Maatje, K. (1993). Relations between on-line electrical conductivity and daily milk production on a low somatic cell count farm. Journal of Dairy Science, 76, 2589–2596. https://doi.org/10.3168/jds.S0022-0302(93)77593-1
  • Norberg, E., Hogeveen, H., Korsgaard, I. R., Friggens, N. C., Sloth, K. H. M. N., Løvendahl, P. (2004). Electrical conductivity of milk: ability to predict mastitis status. Journal of Dairy Science, 87, 1099–1107. https://doi.org/10.3168/jds.S0022-0302(04)73256-7
  • Norberg, E. (2005). Electrical conductivity of milk as a phenotypic and genetic indicator of bovine mastitis: a review. Livestock Production Science, 96, 129–139. https://doi.org/10.1016/j.livprodsci.2004.12.014
  • Ordolff, D. (2001). Introduction of electronics into milking technology. Computers and Electronics in Agriculture, 30, 125–149. https://doi.org/10.1016/S0168-1699(00)00161-7
  • Özçelik, M., Arpacık, R. (2000). The Effect of Lactation Number on Milk Production and Reproduction in Holstein Cows. Turkish Journal of Veterinary & Animal Sciences, 24(1). https://journals.tubitak.gov.tr/veterinary/vol24/iss1/6
  • Özdemir, S., Kaymaz, M. (2013). Küçük aile işletmelerinde yetiştirilen ineklerde subklinik mastitis insidensi ve tanı yöntemlerinin karşılaştırılması. Atatürk Üniversitesi Veteriner Bilimleri Dergisi, 8(1), 71–79.
  • Rogers, G. W. (2002). Aspects of milk composition, productive life and type traits in relation to mastitis and other diseases in dairy cattle. 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France.
  • Samaraweera, A. M., van der Werf, J. H., Boerner, V., Hermesch, S. (2022). Economic values for production, fertility and mastitis traits for temperate dairy cattle breeds in tropical Sri Lanka. Journal of Animal Breeding and Genetics, 139(3), 330–341. https://doi.org/10.1111/jbg.12667
  • Sarıözkan, S. (2019). Türkiye’de süt sığırcılığı işletmelerinde mastitis nedeniyle oluşan finansal kayıpların tahmin edilmesi. Harran Üniversitesi Veteriner Fakültesi Dergisi, 8(2), 147–151. https://doi.org/10.31196/huvfd.667550
  • Sheldrake, R. F., Hoare, R. J. T., McGregor, G. D. (1983). Lactation stage, parity, and infection affecting somatic cells, electrical conductivity, and serum albumin in milk. Journal of Dairy Science, 66(3), 542–547. https://doi.org/10.3168/jds.S0022-0302(83)81823-2
  • Špauskas, V., Klimiene, I., Matusevičius, A. (2006). A comparison of indirect methods for diagnosis of subclinical mastitis in lactating dairy cows. Veterinarski Arhiv, 76(2), 101–109.
  • Tatlısu, B., Zulkadir, U. (2024). Siyah Alaca Sığırlarda Erken Laktasyon Dönemindeki Süt Bileşimleri ve Etkili Faktörlerin Belirlenmesi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 27(3), 735-747. https://doi.org/10.18016/ksutarimdoga.vi.1295107
  • Tekerli, M. (2000). Main Factors Affecting Milk Yield Traits of Holstein Cattle Bred under The Conditions of Different Operations, and Essential Parameters to Selection I. Effects of Environment and Heredity on the Shape of Lactation Curve in Holsteins. Lalahan Hayvancılık Araştırma Enstitüsü Dergisi, 40(1), 1–13.
  • Timurkan, H. (2004). İneklerde yaş ve ırkın sütün elektriksel iletkenliği üzerine etkisi. DAÜM Dergisi, 2, 55–58.
  • Timurkan, H. (2014). İneklerde California Mastitis Testi ve sütün elektrik iletkenliğinin karşılaştırılması. Fırat Üniversitesi Sağlık Bilimleri Veteriner Dergisi, 28(3), 135–136.
  • Veerkamp, R. F., Brotherstone, S. (1997). Genetic correlations between linear type traits, food intake, live weight and condition score in Holstein Friesian dairy cattle. Animal Science, 64(3), 385–392. https://doi.org/10.1017/S1357729800015976
  • Vijayakumar, M., Park, J. H., Ki, K. S., Lim, D. H., Kim, S. B., Park, S. M., Jeong, H. Y., Park, B. Y., Kim, T. I. (2017). The effect of lactation number, stage, length, and milking frequency on milk yield in Korean Holstein dairy cows using automatic milking system. *Asian-Australasian Journal of Animal Sciences, 30*(8), 1093–1098. https://doi.org/10.5713/ajas.16.0882
  • Vilas Boas, D. F., Vercesi Filho, A. E., Pereira, M. A., Roma Junior, L. C., El Faro, L. (2017). Association between electrical conductivity and milk production traits in Dairy Gyr cows. Journal of Applied Animal Research, 45(1), 227–233. http://dx.doi.org/10.1080/09712119.2016.1150849
  • Wilmink, J. B. M. (1987). Adjustment of test-day milk, fat and protein yield for age, season and stage of lactation. Livestock Production Science, 16(4), 335–348. https://doi.org/10.1016/0301-6226(87)90003-0
There are 48 citations in total.

Details

Primary Language English
Subjects Zootechny (Other)
Journal Section 65-1
Authors

Tamer Kayar 0000-0002-4011-1050

Onur Erzurum 0000-0001-7074-8573

Early Pub Date June 23, 2025
Publication Date June 30, 2025
Submission Date May 14, 2025
Acceptance Date June 16, 2025
Published in Issue Year 2025 Volume: 65 Issue: 1

Cite

APA Kayar, T., & Erzurum, O. (2025). Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows during the Lactation Period. Livestock Studies, 65(1), 26-32. https://doi.org/10.46897/livestockstudies.1725764
AMA Kayar T, Erzurum O. Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows during the Lactation Period. Livestock Studies. June 2025;65(1):26-32. doi:10.46897/livestockstudies.1725764
Chicago Kayar, Tamer, and Onur Erzurum. “Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows During the Lactation Period”. Livestock Studies 65, no. 1 (June 2025): 26-32. https://doi.org/10.46897/livestockstudies.1725764.
EndNote Kayar T, Erzurum O (June 1, 2025) Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows during the Lactation Period. Livestock Studies 65 1 26–32.
IEEE T. Kayar and O. Erzurum, “Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows during the Lactation Period”, Livestock Studies, vol. 65, no. 1, pp. 26–32, 2025, doi: 10.46897/livestockstudies.1725764.
ISNAD Kayar, Tamer - Erzurum, Onur. “Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows During the Lactation Period”. Livestock Studies 65/1 (June2025), 26-32. https://doi.org/10.46897/livestockstudies.1725764.
JAMA Kayar T, Erzurum O. Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows during the Lactation Period. Livestock Studies. 2025;65:26–32.
MLA Kayar, Tamer and Onur Erzurum. “Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows During the Lactation Period”. Livestock Studies, vol. 65, no. 1, 2025, pp. 26-32, doi:10.46897/livestockstudies.1725764.
Vancouver Kayar T, Erzurum O. Effects of Electrical Conductivity, Activity Level, Age and Lactation Number on Milk Yield in Dairy Cows during the Lactation Period. Livestock Studies. 2025;65(1):26-32.