Sustainable dairy cattle selection in the genomic era

被引:38
|
作者
Boichard, D. [1 ]
Ducrocq, V. [1 ]
Fritz, S. [1 ,2 ]
机构
[1] INRA, Anim Genet & Integrat Biol UMR1313, F-78350 Jouy En Josas, France
[2] Allice, Paris, France
关键词
Dairy cattle; effective population size; genomic selection; ENVIRONMENT INTERACTIONS; PRODUCTION TRAITS; PREDICTION; EFFICIENCY; BREEDS; GENE;
D O I
10.1111/jbg.12150
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Genomic selection offers considerable flexibility to increase genetic trends in dairy cattle breeding. It is also an opportunity for more sustainable breeding, in terms of breeding goal and genetic variability. With a shorter generation interval, there is a big risk of increasing inbreeding if semen dissemination policy of elite bulls is not changed. However, using a large number of young bulls as service bulls and bull sires is a solution for both maximizing genetic trend while reducing inbreeding trend. Female genotyping is a key challenge for within-herd selection but, more importantly, for selection of new traits and for replacement of current reference populations based upon progeny-tested bulls. Genomic selection also opens new avenues for more customized breeding across herds or production systems. A big challenge is to reduce the dependency of genomic predictions on relationship between candidates and the reference population. A strong effort is presently dedicated to integrating genome sequence information into predictions, to improve their accuracy and persistency. In the longer term, further customization of selection will be possible by accounting for GxE interactions. Important developments are also necessary to decrease loss of favourable alleles through genetic drift.
引用
收藏
页码:135 / 143
页数:9
相关论文
共 50 条
  • [1] Genomic selection in dairy cattle
    Guillaume, F.
    Boichard, D.
    Ducrocq, V.
    Fritz, S.
    INRA PRODUCTIONS ANIMALES, 2011, 24 (04): : 363 - 367
  • [2] Genomic selection for tolerance to heat stress in Australian dairy cattle
    Nguyen, Thuy T. T.
    Bowman, Phil J.
    Haile-Mariam, Mekonnen
    Pryce, Jennie E.
    Hayes, Benjamin J.
    JOURNAL OF DAIRY SCIENCE, 2016, 99 (04) : 2849 - 2862
  • [3] Genomic selection in United States dairy cattle
    Wiggans, George R. R.
    Carrillo, Jose A.
    FRONTIERS IN GENETICS, 2022, 13
  • [4] Optimum multistage genomic selection in dairy cattle
    Boerner, V.
    Teuscher, F.
    Reinsch, N.
    JOURNAL OF DAIRY SCIENCE, 2012, 95 (04) : 2097 - 2107
  • [5] Genomic selection for feed efficiency in dairy cattle
    Pryce, J. E.
    Wales, W. J.
    de Haas, Y.
    Veerkamp, R. F.
    Hayes, B. J.
    ANIMAL, 2014, 8 (01) : 1 - 10
  • [6] A review of genomic selection - Implications for the South African beef and dairy cattle industries
    van Marle-Koester, E.
    Visser, C.
    Berry, D. P.
    SOUTH AFRICAN JOURNAL OF ANIMAL SCIENCE, 2013, 43 (01) : 1 - 17
  • [7] Integrating genomic selection into dairy cattle breeding programmes: a review
    Bouquet, A.
    Juga, J.
    ANIMAL, 2013, 7 (05) : 705 - 713
  • [8] Invited review: Genomic selection in dairy cattle: Progress and challenges
    Hayes, B. J.
    Bowman, P. J.
    Chamberlain, A. J.
    Goddard, M. E.
    JOURNAL OF DAIRY SCIENCE, 2009, 92 (02) : 433 - 443
  • [9] Genomic selection -: basics and perspectives for dairy cattle breeding programs
    Koenig, S.
    Simianer, H.
    ZUCHTUNGSKUNDE, 2008, 80 (01): : 50 - 60
  • [10] Genomic selection in dairy cattle simulated populations
    Seno, Leonardo de Oliveira
    Freire Guidolin, Diego Gomes
    Aspilcueta-Borquis, Rusbel Raul
    do Nascimento, Guilherme Batista
    Ribeiro da Silva, Thiago Bruno
    de Oliveira, Henrique Nunes
    Munari, Danisio Prado
    JOURNAL OF DAIRY RESEARCH, 2018, 85 (02) : 125 - 132