The effect of activity on some milking parameters in holstein cows

Yıl 2022, Cilt: 7 Sayı: 2, 77 - 82, 31.08.2022

Önder Akkaş Eda Ülkü

https://doi.org/10.24880/maeuvfd.1066890

Öz

The study was conducted on 41-second lactation Holstein cows of German origin. The shelter type is a semi-open field type and the research period is 12 months. The activities in the first 100 days of lactation per day were 451.4 ± 133.5, and in the second 100 days, it was determined at 420.78 ± 118.0. The activities are divided into 3 parts within 24 hours (at night, during the day between two milkings, and in the evening). While there was no statistical difference between days 100 and 200 of lactation, the lowest activity was recorded at night and the highest activity during the day. The conductance, milk flow, and milking duration of the milk were within the normal range in the first 100 and 200 days and no statistical difference between them could be determined. Mean daily milk yield was 28.28 ± 3.86 kg for the first 100 days and 25.15 ± 3.61 kg for the following 100 days, and the difference was found to be significant (P<0.001). To investigate the influence of the daily activity numbers taken into account as factors on the milking parameters, 4 groups were formed for the 100th and 200th days. Accordingly, the effect of activity on milk conductivity, milking duration, and milk yield could not be determined in the first 100 days; its effect on milk flow rate proved significant (P<0.05). No effect of activity on milking parameters was observed in 200 days of lactation. It is assumed that the inclusion of the housing type, lactation number, and lactation period as well as the seasonal effect in activity studies in cows will contribute positively to animal welfare in herd management.

Anahtar Kelimeler

holstein, activity, milking parameters

Kaynakça

• 1. Cook NB. Time budgets for dairy cows: how do cow comfort influence health, reproduction, and productivity. Penn State Dairy Cattle Nutrition Workshop. (2008) Grantville, PA
• 2. Grant R. Incorporating dairy cow behavior into management tools. Penn State Dairy Cattle Nutrition Workshop 2006, Grantville
• 3. López-Gatiusa F, Santolaria P, Mundet I, Yanız J. Walking activity at estrus and subsequent fertility in dairy cows. Theriogenology. 2005; 63(5):1419-1429
• 4. Kiddy CA. Variation in Physical Activity as an Ind ication of Estrus in Dairy Cows. In: J of Dairy Sci. 1977, 60 (2): 235–243. DOI: 10.3168/js.S0022-0302(77)83859-9 5.Rolefs JB, Van Eerdenburg FJCM, Soede NM, Bas KK. Pedometer readings for estrous detection and as predictors for the time of ovulation in dairy cattle. Theriogenology. 2005; 64: 1690- 1703
• 6.Graf AM. Untersuchungen zu Auswirkungen von simulierten Energieausfällen eines automatischen Melksystems auf ausgewählte Stressparameter von Milchkühen. Disserrtation. Ernährung, Landnutzung und Umwelt der Technischen Universität München, 2017;München
• 7. Edwards JL, Tozer PR. Using Activity and Milk Yield as Predictors of Fresh Cow Disorders. J of Dairy Sci. 2004; 87 (2): 524–531. DOI: 10.3168/js.S0022- 0302(04)73192-6
• 8. Wangler A, Meyer A, Rehbock F, Sanftleben P. Wie effizient ist die Aktivitätsmessung als ein Hilfsmittel in der Brunsterkennung bei Milchrindern. In: Züchtungskunde. 2005;77 (2/3):110–127
• 9.Strapak P, Mičiaková M , Strapáková E , Neirurerová P , Bujko J. Influence of estrus on changes of locomotion activity and rumination time in cattle dams. Acta fytotechn zootechn. 2021; 24: 127-130
• 10.Shepley E, Lensink j,Leruste H, Vasseur E. The effect of free-stall versus straw yard housing and access to pasture on dairy cow locomotor activity and time budget. An. Behavior Sci. 2020; 224:104928
• 11. Dohme-Meier F, Kaufmann LD, Görs S, Junghans P, Metges CC, Van Dorland H.An et al. Comparison of energy expenditure, eating pattern and physical activity of grazing and zero-grazing dairy cows at different time points during lactation. Livest. Sci. 2014; 162, 86–96. doi.org/10.1016/j.livsci. 2014.01.006
• 12. Zebari HM, Rutter MS, Bleach ECL. Characterizing changes in activity and feeding behavior of lactating dairy cows during behavioral and silent oestrus. Appl. Anim. Behav. Sci, 2018;206: 12-17
• 13. Hillerton JE, Walton AW. Identification of subclinical mastitis with a hand- held electrical conductivymeter. Vet. Rec. 1991; 128(22): 513-515
• 14. Peaker M. The electrical conductivity of milk for detection of subclinical mastitis in cows: comparison of various methods of handling conductivity data with the use of cell counts and bacteriological examination British Vet. Jour. 1978; 134: 308-314
• 15. Sharipov D, Kayumov R, Akhmetov T, Ravilov R, Akhmetzyanova F. The effect of milking frequency and intervals on milk production and functional properties of the cows' udder in automatic milking systems. BIO Web of Conferences 17, 00036 (2020).
• 16. Sandrucci A, Tamburini A, Bava L, Zucali M. Factors Affecting Milk Flow Traits in Dairy Cows: Results: of a Field Study. J. Dairy Sci. 2020; 90:1159–1167
• 17. Minitab. Minitab forWindows Version Release 19, 2019; Minitab Inc
• 18. Akdeniz M. Holştayn Irki Siğirlarda Gübre Ve Kum Altlik Kullaniminin Bazi Refah Ve Davraniş Özellikleri Üzerine Etkileri. Aydin Adnan Menderes Üniversitesi Sağlik Bilimleri Enstitüsü ,Yüksek Lisans Tezi, 2020; Aydın
• 19.Demir MÖ. Esmer Irk İneklerde Süt Verimi, Sütün Elektrik Ġletkenliği ve Pedometre Aktivitesine Bazı Çevre Faktörlerinin Etkileri, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, 2010; Konya
• 20. Bruckmaier R M, Rothenanger E, Blum J W. Milking characteristics in dairy cows of different breeds from different farms and during lactation. J. Anim. Breed. Genet. 1995;112: 293-302
• 21.Huth FW. Die Laktation des Rindes. Analyse, Einfluss, Korrektur. Eugen Ullmer-Verlag, Stuttgart.1995
• 22. Tilki M, Çolak M, İnal Ş, Çağlayan T. Effects of Teat Shape on Milk Yield and Milking Traits in Brown Swiss Cows. Turk J Vet Anim Sci. 2005;29: 275-278
• 23.Edwards J P, Jago J G, Lopez- Villalabos N. Analysis of milking characteristics in New Zealand dairy cows. J. Dairy Sci. 2014;97(1):259-269
• 24.Rossing W E, Benders P H, Hogewerf H, Hopster H, Maatje K .Practical experiences with real time measurements of milk conductivity for detecting mastitis. In: Proceedings of the “3rd symposium Automation in Dairying” Wageningen .1987; S: 138-146
• 25. Firk R, Stamer E, Junge W, Krieter J. Systematic effects on activity, milk yield, milk flow rate and electrical conductivity. Arch. Tierz. 2002; 3: 213-222