본문 바로가기
KERD
논문

Genetic parameters for daily milk somatic cell score and relationships with yield traits of primiparous Holstein cattle in Iran

2

조회

0

다운로드

1

인용

0

참고문헌

키워드

주제분류축산학

초록

Background: Despite the importance of relationships between somatic cell score (SCS) and currently selected traits (milk, fat and protein yield) of Holstein cows, there was a lack of comprehensive literature for it in Iran. Therefore we tried to examine heritabilities and relationships between these traits using a fixed-regression animal model and Bayesian inference. The data set consisted of 1,078,966 test-day observations from 146,765 primiparous daughters of 1930 sires, with calvings from 2002 to 2013. Results: Marginal posterior means of heritability estimates for SCS (0.03 ± 0.002) were distinctly lower than those for milk (0.204 ± 0.006), fat (0.096 ± 0.004) and protein (0.147 ± 0.005) yields. In the case of phenotypic correlations, the relationships between production and SCS were near zero at the beginning of lactation but become increasingly negative as days in milk increased. Although all environmental correlations between production and SCS were negative (−0.177 ± 0.007, −0.165 ± 0.008 and −0.152 ± 0.007 between SCS and milk, fat, and protein yield, respectively), slightly antagonistic genetic correlations were found; with posterior mean of relationships ranging from 0.01 ± 0.039 to 0.11 ± 0.036. This genetic opposition was distinctly higher for protein than for fat. Conclusion: Although small, the positive genetic correlations suggest some genetic antagonism between desired increased milk production and reduced SCS (i.e., single-trait selection for increased milk production will also increase SCS).

Abstract

Background: Despite the importance of relationships between somatic cell score (SCS) and currently selected traits (milk, fat and protein yield) of Holstein cows, there was a lack of comprehensive literature for it in Iran. Therefore we tried to examine heritabilities and relationships between these traits using a fixed-regression animal model and Bayesian inference. The data set consisted of 1,078,966 test-day observations from 146,765 primiparous daughters of 1930 sires, with calvings from 2002 to 2013. Results: Marginal posterior means of heritability estimates for SCS (0.03 ± 0.002) were distinctly lower than those for milk (0.204 ± 0.006), fat (0.096 ± 0.004) and protein (0.147 ± 0.005) yields. In the case of phenotypic correlations, the relationships between production and SCS were near zero at the beginning of lactation but become increasingly negative as days in milk increased. Although all environmental correlations between production and SCS were negative (−0.177 ± 0.007, −0.165 ± 0.008 and −0.152 ± 0.007 between SCS and milk, fat, and protein yield, respectively), slightly antagonistic genetic correlations were found; with posterior mean of relationships ranging from 0.01 ± 0.039 to 0.11 ± 0.036. This genetic opposition was distinctly higher for protein than for fat. Conclusion: Although small, the positive genetic correlations suggest some genetic antagonism between desired increased milk production and reduced SCS (i.e., single-trait selection for increased milk production will also increase SCS).

참고문헌 (23)

  1. Mrode RA, "Genetic and statistical properties of somatic cell count and its suitability as an indirect means of reducing the incidence ofmastitis in dairy cattle", Anim Breed Abs, 64, pp.847~857 (1996)
  2. Heringstad B, "Selection for mastitis resistance in dairy cattle: a review with focus on the situation in the Nordic countries", Livest Prod Sci, 64, pp.95~106 (2000)
  3. Vallimont J, "Heritability estimates associated with alternative definitions of mastitis and correlations with somatic cell score and yield", J Dairy Sci, 92, pp.3402~3410 (2009)
  4. Ødegard J, "Genetic analysis of somatic cell score in Norwegian cattle using random regression test-day models", J Dairy Sci, 86, pp.4103~4114 (2003)
  5. Emanuelson U, "Genetic parameters for clinical mastitis, somatic cell counts, and milk production estimated by multipletrait restricted maximum likelihood", J Dairy Sci, 71, pp.467~476 (1988)
  6. Carlén E, "Genetic parameters for clinical mastitis, somatic cell score, and production in the first three lactations of Swedish Holstein cows", J Dairy Sci, 87, pp.3062~3070 (2004)
  7. Ma Y, "Effects of somatic cell count on quality and shelf-life of pasteurized fluid milk", J Dairy Sci, 83, pp.264~274 (2000)
  8. Politis I, "Association between somatic cell count of milk and cheese-yielding capacity", J Dairy Sci, 71, pp.1720~1727 (1988)
  9. Sewalem A, "Analysis of the relationship between somatic cell score and functional longevity in Canadian dairy cattle", J Dairy Sci, 89, pp.3609~3614 (2006)
  10. Rekik B, "Effect of somatic cell count on milk and protein yields and female fertility in Tunisian Holstein dairy cows", Livest Sci, 116, pp.309~317 (2008)
  11. Ali AKA, "An optimum transformation for somatic cell concentration in milk", J Dairy Sci, 63, pp.487~490 (1980)
  12. "BLUPF90 family of programs"[URL]
  13. "R: a language and environment for statistical computing" (2015)[URL]
  14. Jamrozik J, "Relationships between milk yield and somatic cell score in Canadian Holsteins from simultaneous and recursive random regression models", J Dairy Sci, 93, pp.1216~1233 (2010)
  15. Welper RD, "Genetic parameters for yield traits of Holsteins, including lactose and somatic cell score", J Dairy Sci, 75, pp.1342~1348 (1992)
  16. Rajala-Schultz PJ, "Effects of clinical mastitis on milk yield in dairy cows", J Dairy Sci, 82, pp.1213~1220 (1999)
  17. Kheirabadi K, "Modeling lactation curves and estimation of genetic parameters in Holstein cows using multiple‐trait random regression models", Anim Sci J, 85, pp.925~934 (2014)
  18. Razmkabir M, "Genetic evaluation of production traits with random regression models in Holstein dairy cattle", 박사, pp.2011
  19. Wu X-L, "Inferring relationships between somatic cell score and milk yield using simultaneous and recursive models", J Dairy Sci, 90, pp.3508~3521 (2007)
  20. Haile-Mariam M, "Genetic and environmental correlations between test-day somatic cell count and milk yield traits", Livest Prod Sci, 73, pp.1~13 (2001)
  21. Kheirabadi K, "Estimation of genetic parameters and genetic trends of somatic cell score in Iranian Holstein cows using test-day records", Iranian J Appl Anim Sci, 4, pp.707~716 (2014)
  22. Kheirabadi K, "Estimation of genetic parameters for daily milk yields of primiparous Iranian Holstein cows", Arch Tierz, 56, pp.455~466 (2013)
  23. Yazgan K, "Genetic relationship between milk dry matter and other milk traits in extended lactations of Polish Holstein cows", Czech J Anim Sci, 55, pp.91~104 (2010)

관련 논문AI추천

Estimation of Genetic Parameters for Somatic Cell Scores of Holsteins Using Multi-trait Lactation Models in Korea조광현, 최태정, B. Park, C.I. Cho, J.G. Choi, M. Alam, S.S. Lee, Y.H. Choy아세아·태평양축산학회 · Animal Bioscience2015 · 제28권 제3호Somatic Cells Count and Its Genetic Association with Milk Yield in Dairy Cattle Raised under Thai Tropical Environmental ConditionsD. Jattawa, M.A. Elzo, S. Koonawootrittriron, T. Suwanasopee아세아·태평양축산학회 · Animal Bioscience2012 · 제25권 제9호Influence of milking frequency on genetic parameters associated with the milk production in the first and second lactations of Iranian Holstein dairy cows using random regression test day modelsAhmad Ayatollahi Mehrgardi, Masood Asadi Fozi, Moslem Moghbeli Damane한국축산학회 · 한국축산학회지2016 · 제58권 제2호Genetic parameters for somatic cell score, milk yield and type traits in Nigerian Dwarf goatsÁvila-Ramos Fidel, Lechuga-Arana Alma Arianna, Montaldo Hugo H., Shepard Lisa, Valencia-Posadas Mauricio아세아·태평양축산학회 · Animal Bioscience2022 · 제35권 제3호Application of random regression models for genetic analysis of 305-d milk yield over different lactations of Iranian HolsteinsHomayoun Farhangfar, Mahdi Elahi Torshizi, Mojtaba Hosseinpour Mashhadi아세아·태평양축산학회 · Animal Bioscience2017 · 제30권 제10호홀스타인의 유생산형질에 대한 유전모수 추정박병호, 이승수, 조광현, 조충일, 최연호, 최재관, 최태정한국축산학회 · 한국축산학회지2013 · 제55권 제1호

이 간행물의 다른 논문 (2건)