Applications of Population Genetics to Animal Breeding, from Wright, Fisher and Lush to Genomic Prediction

被引:77
|
作者
Hill, William G. [1 ]
机构
[1] Univ Edinburgh, Sch Biol Sci, Inst Evolutionary Biol, Edinburgh EH9 3JT, Midlothian, Scotland
关键词
QUANTITATIVE TRAIT LOCI; LONG-TERM RESPONSE; ARTIFICIAL SELECTION; COMPLEX TRAITS; DAIRY-CATTLE; NATURAL-SELECTION; BODY-WEIGHT; LINKAGE; SIZE; HERITABILITY;
D O I
10.1534/genetics.112.147850
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Although animal breeding was practiced long before the science of genetics and the relevant disciplines of population and quantitative genetics were known, breeding programs have mainly relied on simply selecting and mating the best individuals on their own or relatives' performance. This is based on sound quantitative genetic principles, developed and expounded by Lush, who attributed much of his understanding to Wright, and formalized in Fisher's infinitesimal model. Analysis at the level of individual loci and gene frequency distributions has had relatively little impact. Now with access to genomic data, a revolution in which molecular information is being used to enhance response with "genomic selection" is occurring. The predictions of breeding value still utilize multiple loci throughout the genome and, indeed, are largely compatible with additive and specifically infinitesimal model assumptions. I discuss some of the history and genetic issues as applied to the science of livestock improvement, which has had and continues to have major spin-offs into ideas and applications in other areas.
引用
收藏
页码:1 / 16
页数:16
相关论文
共 50 条
  • [31] POPULATION-GENETICS IN ANIMAL BREEDING, 2ND EDITION - PIRCHNER,F
    FRANKHAM, R
    AMERICAN SCIENTIST, 1983, 71 (06) : 652 - 653
  • [32] POPULATION-GENETICS IN ANIMAL BREEDING, 2ND EDITION - PIRCHNER,F
    HILL, WG
    QUARTERLY REVIEW OF BIOLOGY, 1984, 59 (01): : 67 - 67
  • [33] Inbreeding - lessons from animal breeding, evolutionary biology and conservation genetics
    Kristensen, TN
    Sorensen, AC
    ANIMAL SCIENCE, 2005, 80 : 121 - 133
  • [34] Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery
    John M Hickey
    Tinashe Chiurugwi
    Ian Mackay
    Wayne Powell
    Nature Genetics, 2017, 49 : 1297 - 1303
  • [35] Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery
    Hickey, John M.
    Chiurugwi, Tinashe
    Mackay, Ian
    Powell, Wayne
    NATURE GENETICS, 2017, 49 (09) : 1297 - 1303
  • [36] Genomic prediction and quantitative trait locus discovery in a cassava training population constructed from multiple breeding stages
    Somo, Mohamed
    Kulembeka, Heneriko
    Mtunda, Kiddo
    Mrema, Emmanuel
    Salum, Kasele
    Wolfe, Marnin D.
    Rabbi, Ismail Y.
    Egesi, Chiedozie
    Kawuki, Robert
    Ozimati, Alfred
    Lozano, Roberto
    Jannink, Jean-Luc
    CROP SCIENCE, 2020, 60 (02) : 896 - 913
  • [37] Comparing genomic studies in animal breeding and human genetics: focus on disease-related traits in livestock - A review
    Gervais, Olivier
    Nagamine, Yoshitaka
    ANIMAL BIOSCIENCE, 2025, 38 (02) : 189 - 197
  • [38] Quantitative genetics theory for genomic selection and efficiency of breeding value prediction in open-pollinated populations
    Soriano Viana, Jose Marcelo
    Piepho, Hans-Peter
    Silva, Fabyano Fonseca e
    SCIENTIA AGRICOLA, 2016, 73 (03): : 243 - 251
  • [39] Across-population genomic prediction in grapevine opens up promising prospects for breeding
    Brault, Charlotte
    Segura, Vincent
    This, Patrice
    Le Cunff, Loic
    Flutre, Timothee
    Francois, Pierre
    Pons, Thierry
    Peros, Jean-Pierre
    Doligez, Agnes
    HORTICULTURE RESEARCH, 2022, 9
  • [40] Genomic Prediction of Biomass Yield in Two Selection Cycles of a Tetraploid Alfalfa Breeding Population
    Li, Xuehui
    Wei, Yanling
    Acharya, Ananta
    Hansen, Julie L.
    Crawford, Jamie L.
    Viands, Donald R.
    Michaud, Real
    Claessens, Annie
    Brummer, E. Charles
    PLANT GENOME, 2015, 8 (02):