Estimation of genetic parameters for young stock survival in beef x dairy crossbred calves

被引:11
|
作者
Davis, R. B. [1 ,2 ]
Norberg, E. [2 ,3 ]
Fogh, A. [1 ]
机构
[1] SEGES, Danish Milk & Beef Res Ctr, Agro Food Pk 15, DK-8200 Aarhus N, Denmark
[2] Aarhus Univ, Dept Mol Biol & Genet, Blichers Alle 20, DK-8830 Tjele, Denmark
[3] Norwegian Univ Life Sci, Fac Biosci, Dept Anim & Aquacultural Sci, Arboretveien 6, N-1432 As, Norway
关键词
calf mortality; beef x dairy crossbreeding; veal production; genetic parameters; post-natal survival; CALF MORTALITY; THRESHOLD;
D O I
10.1017/S1751731119002386
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Young stock survival is a trait of crucial importance in cattle breeding as calf mortality leads to economic losses and represents an animal welfare issue. The aim of this study was to estimate genetic parameters and sire breeding values for young stock survival in beef x dairy crossbred calves. Two traits were analysed with a univariate animal model: young stock survival between 1 to 30 days and 31 to 200 days after birth. Breed combinations with Belgian Blue sires outperformed all other sire breeds. The lowest survival rates were found for breed combinations with Jersey dams or Blonde d'Aquitaine sires. The results showed low but significant heritabilities (0.045 to 0.075) for both survival traits. Differences in breeding values between sires ranged from -2.5% to 3.5% and from -5.4% to 4.7% survival from 1 to 30 days and 31 to 200 days, respectively. Based on these findings, we concluded that it is feasible to breed for improved young stock survival in beef x dairy crossbred calves. This will hopefully contribute to increasing the survival rate of the calves and reduce economic losses for the farmers.
引用
收藏
页码:445 / 451
页数:7
相关论文
共 50 条
  • [1] Estimation of genetic parameters for young stock survival in Danish beef x dairy crossbred calves
    Davis, R. B.
    Norberg, E.
    Fogh, A.
    JOURNAL OF DAIRY SCIENCE, 2019, 102 : 257 - 257
  • [2] Repeatability and genetic parameters for phenotypes of methane emission in crossbred beef x dairy slaughter calves
    Johansen, K. K.
    Kargo, M.
    Christensen, O. F.
    Bjerring, M.
    Lovendahl, P.
    Buitenhuis, A. J.
    ANIMAL, 2025, 19 (04)
  • [3] Effects of milk replacer composition on growth and development of beef x dairy crossbred calves
    Carter, Rachel E.
    Emenheiser, Joseph C.
    Zinn, Steven A.
    Govoni, Kristen E.
    Felix, Tara L.
    Reed, Sarah A.
    TRANSLATIONAL ANIMAL SCIENCE, 2025, 9
  • [4] MORTALITY IN CROSSBRED CALVES AND YOUNG STOCK AT LEH (LADAKH)
    JADHAV, KL
    SINGH, B
    KALE, MM
    INDIAN JOURNAL OF ANIMAL SCIENCES, 1995, 65 (01): : 110 - 112
  • [5] Estimation of genetic parameters and heterosis for longevity in crossbred Danish dairy cattle
    Clasen, J. B.
    Norberg, E.
    Madsen, P.
    Pedersen, J.
    Kargo, M.
    JOURNAL OF DAIRY SCIENCE, 2017, 100 (08) : 6337 - 6342
  • [6] Invited review: Beef-on-dairy-The generation of crossbred beef x dairy cattle
    Berry, D. P.
    JOURNAL OF DAIRY SCIENCE, 2021, 104 (04) : 3789 - 3819
  • [7] GENETIC PARAMETERS IN STRAIGHTBRED AND CROSSBRED BEEF CATTLE
    DUNN, RJ
    MAGEE, WT
    GREGORY, KE
    CUNDIFF, LV
    KOCH, RM
    JOURNAL OF ANIMAL SCIENCE, 1970, 31 (04) : 656 - &
  • [8] Estimation of genetic and phenotypic parameters for ultrasound and carcass merit traits in crossbred beef cattle
    Miar, Y.
    Plastow, G. S.
    Bruce, H. L.
    Moore, S. S.
    Durunna, O. N.
    Nkrumah, J. D.
    Wang, Z.
    CANADIAN JOURNAL OF ANIMAL SCIENCE, 2014, 94 (02) : 273 - 280
  • [9] EFFECT OF INCLUDING RELATIONSHIPS IN THE ESTIMATION OF GENETIC-PARAMETERS OF BEEF-CALVES
    JOHNSON, ZB
    WRIGHT, DW
    BROWN, CJ
    BERTRAND, JK
    BROWN, AH
    JOURNAL OF ANIMAL SCIENCE, 1992, 70 (01) : 78 - 88
  • [10] Estimation of genetic parameters for primal tissue component traits in commercial crossbred beef cattle
    Sood, Vipasha
    Rodas-Gonzalez, Argenis
    Valente, Tiago S.
    Li, Changxi
    Vinsky, Michael
    Lam, Stephanie
    Lopez-Campos, Oscar
    Segura, Jose
    Basarab, John
    Juarez, Manuel
    MEAT SCIENCE, 2023, 202