Asian-Australasian Journal of Animal Sciences

  • 제30권5호
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  • Pages.666-671
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  • 2017
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  • 1011-2367(pISSN)
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  • 1976-5517(eISSN)
아세아태평양축산학회 (Asian Australasian Association of Animal Production Societies)
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Comparative study on production, reproduction and functional traits between Fleckvieh and Braunvieh cattle

  • Cziszter, Ludovic-Toma (Research and Development Station for Bovine Arad, Academy for Agricultural and Forestry Sciences) ;
  • Ilie, Daniela-Elena (Research and Development Station for Bovine Arad, Academy for Agricultural and Forestry Sciences) ;
  • Neamt, Radu-Ionel (Research and Development Station for Bovine Arad, Academy for Agricultural and Forestry Sciences) ;
  • Neciu, Florin-Cristian (Research and Development Station for Bovine Arad, Academy for Agricultural and Forestry Sciences) ;
  • Saplacan, Silviu-Ilie (Research and Development Station for Bovine Arad, Academy for Agricultural and Forestry Sciences) ;
  • Gavojdian, Dinu (Research and Development Station for Bovine Arad, Academy for Agricultural and Forestry Sciences)
  • 투고 : 2016.08.03
  • 심사 : 2016.11.14
  • 발행 : 2017.05.01
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초록

Objective: Aim of the current comparative study was to evaluate production outputs, reproduction efficiency and functional traits in dual-purpose Fleckvieh and Braunvieh cows, reared under temperate European conditions. Methods: A data-set from 414 Fleckvieh and 42 Braunvieh cows and 799 lactations was analysed. ID tag number, milk yield per milking session, number of steps/interval and milk conductivity were recorded and collected daily using AfiMilk 3.076 A-DU software (Afimilk Ltd., Kibbutz, Israel). Production and milk quality data were taken from the results of the official performance recordings and the reproductive outputs of cows were recorded by the research stations veterinarians. Comparisons between the two genotypes were carried out using the one way analysis of variance protocol, with categorical factor being considered the breed of cows. All the statistical inferences were carried out using Statistica software (StatSoft Inc., Tulsa, OK, USA). Results: Fleckvieh cows significantly outperformed ($p{\leq}0.05$) the Braunvieh herd, with average milk yields of $5,252.1{\pm}35.79kg$ and $4,897.6{\pm}128.94kg$, respectively. Age at first calving was significantly ($p{\leq}0.01$) influenced by the breed, with Fleckvieh heifers being more precocious ($32.8{\pm}0.29mo$) compared to those of Braunvieh breed ($35.7{\pm}0.84mo$). Reproduction efficiency as defined by the number of inseminations per gestation, calving interval, dystocia, days dry and days open, was not influenced by genotype (p>0.05). Incidences of sub-clinical mastitis, clinical mastitis, lameness and abortions were not influenced by the breed factor (p>0.05). Stay-ability of cows was significantly ($p{\leq}0.001$) influenced by genotype, with Braunvieh cows having an average age at culling of $117.88{\pm}11.78$ months compared to $90.88{\pm}2.89$ months in Fleckvieh. Conclusion: Overall, results have shown that genotype significantly influenced milk yield, age at first calving and longevity.

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참고문헌

  1. Egger-Danner C, Cole JB, Pryce JE, et al. Invited review: overview of new traits and phenotyping strategies in dairy cattle with a focus on functional traits. Animal 2015;9:191-207. https://doi.org/10.1017/S1751731114002614
  2. Hietala P, Wolfova M, Wolf J, Kantanen J, Juga J. Economic values of production and functional traits, including residual feed intake, in Finnish milk production. J Dairy Sci 2014;97:1092-106. https://doi.org/10.3168/jds.2013-7085
  3. Koeck A, Heringstad B, Egger-Danner C, et al. Genetic analysis of clinical mastitis and somatic cell count traits in Austrian Fleckvieh cows. J Dairy Sci 2010;93:5987-95. https://doi.org/10.3168/jds.2010-3451
  4. Koeck A, Egger-Danner C, Fuerst W, Obritzhauser W, Fuerst-Waltl B. Genetic analyses of reproductive disorders and their relationship to fertility and milk yield in Austrian Fleckvieh dual-purpose cows. J Dairy Sci 2010;93:2185-94. https://doi.org/10.3168/jds.2009-2570
  5. Koeck A, Loker S, Miglior F, et al. Genetic relationships of clinical mastitis, cystic ovaries, and lamness with milk yield and somatic cell score in first-lactation Canadian Holsteins. J Dairy Sci 2014;97:5806-13. https://doi.org/10.3168/jds.2013-7785
  6. Felius M, Koolmees PA, Theunissen B. European cattle genetic diversity consortium. Diversity 2011;3:660-92. https://doi.org/10.3390/d3040660
  7. ANARZ. Annual report of National Agency for Animal Improving and Reproduction from Romanian. [Internet]. ANZ; 2014 [cited 2016 Sept 15]. Available from: http://www.anarz.eu/AnarzAdministratorSite/public/Raport+de+activitate.aspx
  8. Directive 2010/63/EU of the European Parliament and of the Council of 22 September 2010 on the protection of animals used for scientific purposes Text with EEA relevance. [Internet]. Official Journal of the European Union L 276/33; [cited 2016 Apr 15]. Available from: http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32010L0063
  9. ICAR [Internet]. International Committee for Animal Recording; 2012 [cited 2016 Jun 10]. Available from: http://www.icar.org/pages/statutes.htm
  10. Stanciu G, Acatincai S, Cziszter LT. Cattle breeding technology - Practical guide. Timisoara, Romania: Eurostampa; 2005. p. 161-4.
  11. Madouasse A, Huxley JH, Browne WJ, Bradley AJ, Green MJ. Somatic cell count patterns in a large sample of UK dairy herds, In: Lam TJGM, editor. Proceedings of international conference Mastitis control: From science to practice. The Hague, the Netherlands: Wageningen Academic Publishers; 2008. p. 219-25.
  12. Hill T, Lewicki P. Statistics: methods and applications. Tulsa, OK: StatSoft; 2006.
  13. Anton I, Kovacs K, Hollo G, et al. Effect of DGAT1, leptin and TG gene polymorphisms on some milk production traits in different dairy cattle breeds in Hungary. Archiv Tierzucht 2012;55:307-14.
  14. Pilarczyk R, Wojcik J, Czerniak P, et al. Concentrations of toxic heavy metals and trace elements in raw milk of Simmental and Holstein-Friesian cows from organic farm. Environ Monit Assess 2013;185:8383-92. https://doi.org/10.1007/s10661-013-3180-9
  15. European Commission. EU prices of cow's raw milk 2016 [Internet]. Milk Market Observatory. [cited 2016 Jun 5] Available from: http://ec.europa.eu/agriculture/milk-market-observatory/pdf/eu-raw-milkprices_en.pdf
  16. Piccand V, Cutullic E, Schori F, et al. Comparison of Swiss breeds with New Zealand Holstein-Friesian in pasture-based, seasonal-calving systems. In: Grassland farming and land management systems in mountainous regions. Proceedings of the 16th Symposium of the European Grassland Federation; 2011 29th-31st August: Gumpenstein, Austria: Grassland Sci in Europe; 2011. 16:380-2.
  17. Cecchinato A, Albera A, Cipolat-Gotet C, Ferragina A, Bittante G. Genetic parameters of cheese yield and curd nutrient recovery or whey loss traits predicted using Fourier-transform infrared spectroscopy of samples collected during milk recording on Holstein, Brown Swiss, and Simmental dairy cows. J Dairy Sci 2015;98:4914-27. https://doi.org/10.3168/jds.2014-8599
  18. Berry DP, Buckley F, Dillon P, Evans RD, Veerkamp RF. Genetic relationships among linear type traits, milk yield, body weight, fertility and somatic cell count in primiparous dairy cows. Irish J Agric Food Res 2004;43:161-76.
  19. Zink V, Zavadilova L, Lassen J, et al. Analyses of genetic relationships between linear type traits, fat-to-protein ratio, milk production traits, and somatic cell count in first-parity Czech Holstein cows. Czech J Anim Sci 2014;59:539-47. https://doi.org/10.17221/7793-CJAS
  20. Diskin MG, Kenny DA. Optimising reproductive performance of beef cows and replacement heifers. Animal 2014;8:27-39. https://doi.org/10.1017/S175173111400086X
  21. Fuerst C, Gredler B. Genetic evaluation for fertility traits in Austria and Germany. Interbull Bull 2009;40:3-9.
  22. Philipsson J, Lindhe B. Experiences of including reproduction and health traits in Scandinavian dairy cattle breeding programmes. Livest Prod Sci 2003;83:99-112. https://doi.org/10.1016/S0301-6226(03)00047-2
  23. Jamrozik J, Miller SP. Genetic evaluation of calving ease in Canadian Simmentals using birth weight and gestation length as correlated traits. Livest Sci 2014;162:42-9. https://doi.org/10.1016/j.livsci.2014.01.027
  24. Hortet P, Seegers H. Loss in mlk yield and related composition changes resulting from clinical mastitis in dairy cows. Prev Vet Med 1998;37:1-20. https://doi.org/10.1016/S0167-5877(98)00104-4
  25. Green LE, Hedges VJ, Schukken YH, Blowey RW, Packington AJ. The impact of clinical lameness on the milk yield of dairy cows. J Dairy Sci 2002;85:2250-6. https://doi.org/10.3168/jds.S0022-0302(02)74304-X
  26. Whay HR, Main DCJ, Green LE, Webster AJF. Assessment of the welfare of dairy cattle using animal-based measurements: direct observations and investigation of farm records. Vet Rec 2003;153:197-202. https://doi.org/10.1136/vr.153.7.197
  27. Jamrozik J, McGrath S, Kemp RA, Miller SP. Estimates of genetic parameters for stayability to consecutive calvings of Canadian Simmentals by random regression models. J Anim Sci 2013;91:3634-43. https://doi.org/10.2527/jas.2012-6126
  28. Murray RD. Abortion and perinatal mortality in cattle. In: Cockcroft PD, editor. Bovine medicine. Chichester, UK: John Wiley & Sons, Ltd; 2015. p. 312-5.
  29. Knaus W. Dairy cows trapped between performance demands and adaptability. J Sci Food Agric 2009;89:1107-14. https://doi.org/10.1002/jsfa.3575
  30. Ahlman T, Berglund B, Rydhmer L, Strandberg E. Culling reasons in organic and conventional dairy herds and genotype by environment interaction for longevity. J Dairy Sci 2011;94:1568-75. https://doi.org/10.3168/jds.2010-3483

피인용 문헌

  1. The Analysis of Reproduction in Population of the Slovak Spotted Dairy Cows vol.67, pp.6, 2019, https://doi.org/10.11118/actaun201967061419
  2. Analyses of the genetic relationships between lactose, somatic cell score, and growth traits in Simmental cattle vol.15, pp.1, 2021, https://doi.org/10.1016/j.animal.2020.100027