Literature DB >> 27354521

Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection.

Adriana García-Ruiz1, John B Cole2, Paul M VanRaden2, George R Wiggans2, Felipe J Ruiz-López3, Curtis P Van Tassell4.   

Abstract

Seven years after the introduction of genomic selection in the United States, it is now possible to evaluate the impact of this technology on the population. Selection differential(s) (SD) and generation interval(s) (GI) were characterized in a four-path selection model that included sire(s) of bulls (SB), sire(s) of cows (SC), dam(s) of bulls (DB), and dam(s) of cows (DC). Changes in SD over time were estimated for milk, fat, and protein yield; somatic cell score (SCS); productive life (PL); and daughter pregnancy rate (DPR) for the Holstein breed. In the period following implementation of genomic selection, dramatic reductions were seen in GI, especially the SB and SC paths. The SB GI reduced from ∼7 y to less than 2.5 y, and the DB GI fell from about 4 y to nearly 2.5 y. SD were relatively stable for yield traits, although modest gains were noted in recent years. The most dramatic response to genomic selection was observed for the lowly heritable traits DPR, PL, and SCS. Genetic trends changed from close to zero to large and favorable, resulting in rapid genetic improvement in fertility, lifespan, and health in a breed where these traits eroded over time. These results clearly demonstrate the positive impact of genomic selection in US dairy cattle, even though this technology has only been in use for a short time. Based on the four-path selection model, rates of genetic gain per year increased from ∼50-100% for yield traits and from threefold to fourfold for lowly heritable traits.

Entities:  

Keywords:  Holstein; dairy cattle; generation interval; genetic improvement; genomic selection

Mesh:

Year:  2016        PMID: 27354521      PMCID: PMC4948329          DOI: 10.1073/pnas.1519061113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  40 in total

1.  Accurate prediction of genetic values for complex traits by whole-genome resequencing.

Authors:  Theo Meuwissen; Mike Goddard
Journal:  Genetics       Date:  2010-03-22       Impact factor: 4.562

2.  The use of progeny testing with artificial insemination in dairy cattle.

Authors:  A ROBERTSON; J M RENDEL
Journal:  J Genet       Date:  1950-06       Impact factor: 1.166

Review 3.  Reproductive loss in high-producing dairy cattle: where will it end?

Authors:  M C Lucy
Journal:  J Dairy Sci       Date:  2001-06       Impact factor: 4.034

4.  Productive life evaluations: calculation, accuracy, and economic value.

Authors:  P M VanRaden; G R Wiggans
Journal:  J Dairy Sci       Date:  1995-03       Impact factor: 4.034

5.  Three methods to validate the estimation of genetic trend for dairy cattle.

Authors:  D Boichard; B Bonaiti; A Barbat; S Mattalia
Journal:  J Dairy Sci       Date:  1995-02       Impact factor: 4.034

Review 6.  Selection on somatic cell score to improve resistance to mastitis in the United States.

Authors:  G E Shook; M M Schutz
Journal:  J Dairy Sci       Date:  1994-02       Impact factor: 4.034

7.  Superovulation and embryo transfer in cattle.

Authors:  G E Seidel
Journal:  Science       Date:  1981-01-23       Impact factor: 47.728

Review 8.  Invited review: selection on net merit to improve lifetime profit.

Authors:  P M VanRaden
Journal:  J Dairy Sci       Date:  2004-10       Impact factor: 4.034

9.  Sheep cloned by nuclear transfer from a cultured cell line.

Authors:  K H Campbell; J McWhir; W A Ritchie; I Wilmut
Journal:  Nature       Date:  1996-03-07       Impact factor: 49.962

Review 10.  Invited review: Genomic selection in dairy cattle: progress and challenges.

Authors:  B J Hayes; P J Bowman; A J Chamberlain; M E Goddard
Journal:  J Dairy Sci       Date:  2009-02       Impact factor: 4.034

View more
  88 in total

Review 1.  Complex Trait Prediction from Genome Data: Contrasting EBV in Livestock to PRS in Humans: Genomic Prediction.

Authors:  Naomi R Wray; Kathryn E Kemper; Benjamin J Hayes; Michael E Goddard; Peter M Visscher
Journal:  Genetics       Date:  2019-04       Impact factor: 4.562

2.  Screening Human Embryos for Polygenic Traits Has Limited Utility.

Authors:  Ehud Karavani; Or Zuk; Danny Zeevi; Nir Barzilai; Nikos C Stefanis; Alex Hatzimanolis; Nikolaos Smyrnis; Dimitrios Avramopoulos; Leonid Kruglyak; Gil Atzmon; Max Lam; Todd Lencz; Shai Carmi
Journal:  Cell       Date:  2019-11-21       Impact factor: 41.582

3.  Potential exists to change, through breeding, the yield of individual primal carcass cuts in cattle without increasing overall carcass weight1.

Authors:  Michelle M Judge; Thierry Pabiou; Jessica Murphy; Stephen B Conroy; P J Hegarty; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-07-02       Impact factor: 3.159

4.  Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator.

Authors:  Miguel Pérez-Enciso; Natalia Forneris; Gustavo de Los Campos; Andrés Legarra
Journal:  Genetics       Date:  2016-12-02       Impact factor: 4.562

5.  Multitrait meta-analysis identified genomic regions associated with sexual precocity in tropical beef cattle.

Authors:  Thaise P Melo; Marina R S Fortes; Tiago Bresolin; Lucio F M Mota; Lucia G Albuquerque; Roberto Carvalheiro
Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

6.  Holsteins are the genomic selection poster cows.

Authors:  Jeremy F Taylor; Kristen H Taylor; Jared E Decker
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-29       Impact factor: 11.205

7.  DNA methylation rather than single nucleotide polymorphisms regulates the production of an aberrant splice variant of IL6R in mastitic cows.

Authors:  Yan Zhang; Xiuge Wang; Qiang Jiang; Haisheng Hao; Zhihua Ju; Chunhong Yang; Yan Sun; Changfa Wang; Jifeng Zhong; Jinming Huang; Huabin Zhu
Journal:  Cell Stress Chaperones       Date:  2018-01-20       Impact factor: 3.667

Review 8.  Review: Genomics of bull fertility.

Authors:  Jeremy F Taylor; Robert D Schnabel; Peter Sutovsky
Journal:  Animal       Date:  2018-04-05       Impact factor: 3.240

9.  Genomic prediction with non-additive effects in beef cattle: stability of variance component and genetic effect estimates against population size.

Authors:  Akio Onogi; Toshio Watanabe; Atsushi Ogino; Kazuhito Kurogi; Kenji Togashi
Journal:  BMC Genomics       Date:  2021-07-07       Impact factor: 3.969

10.  Influences of sire conception rate on pregnancy establishment in dairy cattle.

Authors:  M Sofia Ortega; João G N Moraes; David J Patterson; Michael F Smith; Susanta K Behura; Scott Poock; Thomas E Spencer
Journal:  Biol Reprod       Date:  2018-12-01       Impact factor: 4.285

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.