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
[11]  
Croiseau P., 2012, Interbull Bulletin, P127
[12]   Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle [J].
Daetwyler, Hans D. ;
Capitan, Aurelien ;
Pausch, Hubert ;
Stothard, Paul ;
Van Binsbergen, Rianne ;
Brondum, Rasmus F. ;
Liao, Xiaoping ;
Djari, Anis ;
Rodriguez, Sabrina C. ;
Grohs, Cecile ;
Esquerre, Diane ;
Bouchez, Olivier ;
Rossignol, Marie-Noelle ;
Klopp, Christophe ;
Rocha, Dominique ;
Fritz, Sebastien ;
Eggen, Andre ;
Bowman, Phil J. ;
Coote, David ;
Chamberlain, Amanda J. ;
Anderson, Charlotte ;
VanTassell, Curt P. ;
Hulsegge, Ina ;
Goddard, Mike E. ;
Guldbrandtsen, Bernt ;
Lund, Mogens S. ;
Veerkamp, Roel F. ;
Boichard, Didier A. ;
Fries, Ruedi ;
Hayes, Ben J. .
NATURE GENETICS, 2014, 46 (08) :858-865
[13]   Reliability of Genomic Predictions Across Multiple Populations [J].
de Roos, A. P. W. ;
Hayes, B. J. ;
Goddard, M. E. .
GENETICS, 2009, 183 (04) :1545-1553
[14]   Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels [J].
Erbe, M. ;
Hayes, B. J. ;
Matukumalli, L. K. ;
Goswami, S. ;
Bowman, P. J. ;
Reich, C. M. ;
Mason, B. A. ;
Goddard, M. E. .
JOURNAL OF DAIRY SCIENCE, 2012, 95 (07) :4114-4129
[15]   Genomic BLUP Decoded: A Look into the Black Box of Genomic Prediction [J].
Habier, David ;
Fernando, Rohan L. ;
Garrick, Dorian J. .
GENETICS, 2013, 194 (03) :597-+
[16]   Invited review: Genomic selection in dairy cattle: Progress and challenges [J].
Hayes, B. J. ;
Bowman, P. J. ;
Chamberlain, A. J. ;
Goddard, M. E. .
JOURNAL OF DAIRY SCIENCE, 2009, 92 (02) :433-443
[17]   The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation [J].
Hayes, Ben J. ;
Lewin, Harris A. ;
Goddard, Michael E. .
TRENDS IN GENETICS, 2013, 29 (04) :206-214
[18]   Genetic Architecture of Complex Traits and Accuracy of Genomic Prediction: Coat Colour, Milk-Fat Percentage, and Type in Holstein Cattle as Contrasting Model Traits [J].
Hayes, Ben J. ;
Pryce, Jennie ;
Chamberlain, Amanda J. ;
Bowman, Phil J. ;
Goddard, Mike E. .
PLOS GENETICS, 2010, 6 (09)
[19]   A Validated Genome Wide Association Study to Breed Cattle Adapted to an Environment Altered by Climate Change [J].
Hayes, Ben J. ;
Bowman, Phil J. ;
Chamberlain, Amanda J. ;
Savin, Keith ;
van Tassell, Curt P. ;
Sonstegard, Tad S. ;
Goddard, Mike E. .
PLOS ONE, 2009, 4 (08)
[20]   Genomic testing interacts with reproductive surplus in reducing genetic lag and increasing economic net return [J].
Hjorto, L. ;
Ettema, J. F. ;
Kargo, M. ;
Sorensen, A. C. .
JOURNAL OF DAIRY SCIENCE, 2015, 98 (01) :646-658