Literature DB >> 26953266

Is Continued Genetic Improvement of Livestock Sustainable?

William G Hill1.   

Abstract

Large genetic improvements in the quantitative traits of growth, production, and efficiency of farmed livestock have been made over recent decades, and by introduction of genomic technology these are being enhanced. Such continued improvement requires that there be available variation to utilize. The evidence is that little variation has been lost and such rates are indeed sustainable in the future.
Copyright © 2016 by the Genetics Society of America.

Mesh:

Year:  2016        PMID: 26953266      PMCID: PMC4788124          DOI: 10.1534/genetics.115.186650

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  30 in total

1.  Growth, livability, and feed conversion of 1957 versus 2001 broilers when fed representative 1957 and 2001 broiler diets.

Authors:  G B Havenstein; P R Ferket; M A Qureshi
Journal:  Poult Sci       Date:  2003-10       Impact factor: 3.352

Review 2.  Theoretical models of selection and mutation on quantitative traits.

Authors:  Toby Johnson; Nick Barton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

3.  Long-term dynamics of adaptation in asexual populations.

Authors:  Michael J Wiser; Noah Ribeck; Richard E Lenski
Journal:  Science       Date:  2013-11-14       Impact factor: 47.728

4.  Accounting for additive genetic mutations on litter size in Ripollesa sheep.

Authors:  J Casellas; G Caja; J Piedrafita
Journal:  J Anim Sci       Date:  2009-12-18       Impact factor: 3.159

5.  Growth, efficiency, and yield of commercial broilers from 1957, 1978, and 2005.

Authors:  M J Zuidhof; B L Schneider; V L Carney; D R Korver; F E Robinson
Journal:  Poult Sci       Date:  2014-09-26       Impact factor: 3.352

6.  Racehorses are getting faster.

Authors:  Patrick Sharman; Alastair J Wilson
Journal:  Biol Lett       Date:  2015-06       Impact factor: 3.703

7.  Polygenic mutation in Drosophila melanogaster: estimates from response to selection of inbred strains.

Authors:  T F Mackay; J D Fry; R F Lyman; S V Nuzhdin
Journal:  Genetics       Date:  1994-03       Impact factor: 4.562

8.  Predictions of response to artificial selection from new mutations.

Authors:  W G Hill
Journal:  Genet Res       Date:  1982-12       Impact factor: 1.588

9.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

10.  Utilization of farm animal genetic resources in a changing agro-ecological environment in the Nordic countries.

Authors:  Juha Kantanen; Peter Løvendahl; Erling Strandberg; Emma Eythorsdottir; Meng-Hua Li; Anne Kettunen-Præbel; Peer Berg; Theo Meuwissen
Journal:  Front Genet       Date:  2015-02-25       Impact factor: 4.599

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  15 in total

1.  The Impact of Genomic and Traditional Selection on the Contribution of Mutational Variance to Long-Term Selection Response and Genetic Variance.

Authors:  Herman A Mulder; Sang Hong Lee; Sam Clark; Ben J Hayes; Julius H J van der Werf
Journal:  Genetics       Date:  2019-08-20       Impact factor: 4.562

2.  In silico validation of pooled genotyping strategies for genomic evaluation in Angus cattle.

Authors:  Pâmela A Alexandre; Antonio Reverter; Sigrid A Lehnert; Laercio R Porto-Neto; Sonja Dominik
Journal:  J Anim Sci       Date:  2020-06-01       Impact factor: 3.159

3.  Genomic Prediction of Complex Traits in Animal Breeding with Long Breeding History, the Dairy Cattle Case.

Authors:  Joel Ira Weller
Journal:  Methods Mol Biol       Date:  2022

4.  Optimal cross selection for long-term genetic gain in two-part programs with rapid recurrent genomic selection.

Authors:  Gregor Gorjanc; R Chris Gaynor; John M Hickey
Journal:  Theor Appl Genet       Date:  2018-06-06       Impact factor: 5.699

5.  Comparison of infinitesimal and finite locus models for long-term breeding simulations with direct and maternal effects at the example of honeybees.

Authors:  Manuel Plate; Richard Bernstein; Andreas Hoppe; Kaspar Bienefeld
Journal:  PLoS One       Date:  2019-03-06       Impact factor: 3.240

Review 6.  A Vision for Development and Utilization of High-Throughput Phenotyping and Big Data Analytics in Livestock.

Authors:  James E Koltes; John B Cole; Roxanne Clemmens; Ryan N Dilger; Luke M Kramer; Joan K Lunney; Molly E McCue; Stephanie D McKay; Raluca G Mateescu; Brenda M Murdoch; Ryan Reuter; Caird E Rexroad; Guilherme J M Rosa; Nick V L Serão; Stephen N White; M Jennifer Woodward-Greene; Millie Worku; Hongwei Zhang; James M Reecy
Journal:  Front Genet       Date:  2019-12-17       Impact factor: 4.599

7.  The Impact of Non-additive Effects on the Genetic Correlation Between Populations.

Authors:  Pascal Duenk; Piter Bijma; Mario P L Calus; Yvonne C J Wientjes; Julius H J van der Werf
Journal:  G3 (Bethesda)       Date:  2020-02-06       Impact factor: 3.154

8.  Temporal and genomic analysis of additive genetic variance in breeding programmes.

Authors:  Letícia A de C Lara; Ivan Pocrnic; Thiago de P Oliveira; R Chris Gaynor; Gregor Gorjanc
Journal:  Heredity (Edinb)       Date:  2021-12-15       Impact factor: 3.821

9.  China's livestock transition: Driving forces, impacts, and consequences.

Authors:  Zhaohai Bai; Wenqi Ma; Lin Ma; Gerard L Velthof; Zhibiao Wei; Petr Havlík; Oene Oenema; Michael R F Lee; Fusuo Zhang
Journal:  Sci Adv       Date:  2018-07-18       Impact factor: 14.136

10.  Breeding Strategy Shapes the Composition of Bacterial Communities in Female Nile Tilapia Reared in a Recirculating Aquaculture System.

Authors:  Yousri Abdelhafiz; Jorge M O Fernandes; Simone Larger; Davide Albanese; Claudio Donati; Omid Jafari; Artem V Nedoluzhko; Viswanath Kiron
Journal:  Front Microbiol       Date:  2021-09-10       Impact factor: 5.640

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