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 32 条
[1]  
[Anonymous], P 10 WORLD C GEN APP
[2]  
[Anonymous], 2002, P 7 WORLD C GEN APPL
[3]   The value of using probabilities of gene origin to measure genetic variability in a population [J].
Boichard, D ;
Maignel, L ;
Verrier, E .
GENETICS SELECTION EVOLUTION, 1997, 29 (01) :5-23
[4]  
Boichard D., 2013, Interbull Bulletin, P256
[5]   New phenotypes for new breeding goals in dairy cattle [J].
Boichard, D. ;
Brochard, M. .
ANIMAL, 2012, 6 (04) :544-550
[6]   Design of a Bovine Low-Density SNP Array Optimized for Imputation [J].
Boichard, Didier ;
Chung, Hoyoung ;
Dassonneville, Romain ;
David, Xavier ;
Eggen, Andre ;
Fritz, Sebastien ;
Gietzen, Kimberly J. ;
Hayes, Ben J. ;
Lawley, Cynthia T. ;
Sonstegard, Tad S. ;
Van Tassell, Curtis P. ;
VanRaden, Paul M. ;
Viaud-Martinez, Karine A. ;
Wiggans, George R. .
PLOS ONE, 2012, 7 (03)
[7]   Integrating genomic selection into dairy cattle breeding programmes: a review [J].
Bouquet, A. ;
Juga, J. .
ANIMAL, 2013, 7 (05) :705-713
[8]   Reliabilities of genomic prediction using combined reference data of the Nordic Red dairy cattle populations [J].
Brondum, R. F. ;
Rius-Vilarrasa, E. ;
Stranden, I. ;
Su, G. ;
Guldbrandtsen, B. ;
Fikse, W. F. ;
Lund, M. S. .
JOURNAL OF DAIRY SCIENCE, 2011, 94 (09) :4700-4707
[9]  
Calus M., 2013, JOINT INT ANN M EUR
[10]  
Colleau J. J., 2009, Rencontres Autour des Recherches sur les Ruminants, V16, P419