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2015 | 33 | 2 |

Tytuł artykułu

Genetic analysis of lactation persistency in the Polish Holstein-Friesian cows

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
The objectives of this study were to analyze the genetic properties of three measures of lactation persistency in Polish Holstein-Friesian cows, and possibly to choose one measure which could be used for estimation of breeding value for lactation persistency in the Polish dairy cattle population.Data included 117,327 first three lactations of 110,141 cows calved in 1995-2009. The lactation curie model of Ali and Schaeffer was fitted to test-day milk yields. The first definition of persistency (P2:1)was milk yield in the second 100 days in milk (DIM) divided by yield in the first 100 DIM. The second definition (P3:1) was milk yield in the third 100 DIM divided by yield in the first 100 DIM, and the third definition (Pd) was milk yield at 280 DIM divided by milk yield at 60 DIM. The multipletrait REML method was applied for (co)variance component estimation. Heritabilities for three measures of persistency were very low, and ranged from 0.01 to 0.08. Genetic correlations were highest between P3:1 and Pd (0.96-0.99), and lowest between P2:1 and Pd (0.66-0.81),in the first three lactations. The correlations between 305-d milk yield and P3:1 or Pd in each of the first three lactations, and P2:1 in the second lactation, were negative and moderate. The phenotypic correlations between 305-d milk yield and persistency measures were low in the first three lactations.The phenotypic correlation between milk yield and Pd in each lactation was almost the same (0.14-0.15); the correlation between milk yield and P3:1 (0.11-0.17) or P2:1 (0.08-0.13) showed little variation in the first three lactations. All three compared measures of persistency were low-heritable and practically uncorrelated with total milk yield of 305-d lactations, so any of them could be used in the breeding program. However, the Pd measure could be recommended for use in practice because it is easy to calculate and interpret.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

33

Numer

2

Opis fizyczny

p.109-117,ref.

Twórcy

  • Department of Genetics and Animal Breeding, Agricultural University, Mickiewicza 24/28, 30-059 Krakow, Poland
autor
  • Department of Genetics and Animal Breeding, Agricultural University, Mickiewicza 24/28, 30-059 Krakow, Poland

Bibliografia

  • Ali T.E., Schaeffer L.R., 1987 – Accounting for covariances among test day milk yields in dairy cows. Canadian Journal of Animal Science 67, 637-644.
  • Canadian Dairy Network, 2004 – Genetic Selection for persistency. Available from http://www.cdn.ca/document.php?id=28 (accessed Mar. 2015).
  • Dekkers J.C.M., Ten Hag J.H., Weersink A., 1998 – Economic aspects of persistency of lactation in dairy cattle. Livestock Production Science 53, 237-252.
  • Gengler N., Keown J.F., Van Vleck L.D., 1995 – Various persistency measures and relationships with total, partial and peak milk yields. Brazilian Journal of Genetics 18, 237-243.
  • Gengler N., 1996 – Persistency of lactation yields: a review. Interbull Bulletin 12, 87-96.
  • Jamrozik J., Jansen G., Schaeffer L.R., Liu Z., 1998 – Analysis of persistency of lactation calculated from a random regression test day model. Interbull Bulletin 17, 64-69.
  • Johansson I., Hansson A., 1940 – Causes of variation in milk and butterfat yields in dairy cows. Kungliga Lantbruksakademiens Tidskrift 79, 1-127.
  • Khorshidie R., Shadparvar A.A., Ghavihossein -Zadeh N., Joezyshakalgurabi S., 2012 – Genetic trends for 305-day milk yield and persistency in Iran Holsteins. Livestock Science 144, 211-217.
  • Misztal I., 2008 – Reliable computing in estimation of variance components. Journal of Animal Breeding and Genetics 125, 363-370.
  • Muir B.L., Fatehi J., Schaeffer L.R., 2004 – Genetic relationships between persistency and reproductive performance in first-lactation Canadian Holsteins. Journal of Dairy Science 87, 3029-3037.
  • Rekaya R., Weigel K.A., Gianola D., 2001 – Hierarchical nonlinear model for persistency of milk yield in the first three lactations of Holsteins. Livestock Production Science 68,181-187.
  • Schaeffer L.R., Jamrozik J., 1996 – Multiple-trait prediction of lactation yields for dairy cows. Journal of Dairy Science 79, 2044-2055.
  • Sölkner J., Fuchs W., 1987 – A comparison of different measures of persistency with special respect to variation of test-day milk yields. Livestock Production Science 16, 305-319.
  • Strabel T., Jamrozik J., 2006a – Alternative measures of lactation persistency from random regression models with Legendre polynomials. 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Brazil.
  • Strabel T., Jamrozik J., 2006b – Genetic analysis of milk production traits of Polish Black and White cattle using large-scale random regression test-day models. Journal of Dairy Science 89,3152-3163
  • Swalve H.H., 1994 – Genetic relationships between test-day milk production and persistency In dairy cattle performance records. Proceedings of the fifth World Congress on Genetics Applied to Livestock Production, Guelph, 18, 467-470.
  • Swalve H.H., Gengler N., 1999 – Genetics of lactation persistency. British Society of Animal Science. Occasional Publication 24, 75-82.
  • Tekerli M., Akinci Z., Dogan I., Akcan A., 2000 – Factors affecting the shape of lactation curves of Holstein cow from the Balikesir province of Turkey. Journal of Dairy Science 83, 1381-1386.
  • Weller J.I., Ezra E., Leitner G., 2006 – Genetic analysis of persistency in the Israeli Holstein population by a multitrait animal model. Journal of Dairy Science 89, 2738-2746.

Typ dokumentu

Bibliografia

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