Literature DB >> 12499009

Factors affecting commercial application of embryo technologies in dairy cattle in Europe--a modelling approach.

Johan A M van Arendonk1, Piter Bijma.   

Abstract

Reproductive techniques have a major impact on the structure of breeding programmes, the rate of genetic gain and dissemination of genetic gain in populations. This manuscript reviews the impact of reproductive technologies on the underlying components of genetic gain and inbreeding with special reference to the role of female reproductive technology. Evaluation of alternative breeding schemes should be based on genetic gain while constraining inbreeding. Optimum breeding schemes can be characterised by: decreased importance of sib information; increased accuracy at the expense of intensity; and a factorial mating strategy. If large-scale embryo cloning becomes feasible, this will have a small impact on the rate of genetic gain but will have a large impact on the structure of breeding programmes.

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Year:  2003        PMID: 12499009     DOI: 10.1016/s0093-691x(02)01245-1

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  3 in total

1.  Increased genetic gains in sheep, beef and dairy breeding programs from using female reproductive technologies combined with optimal contribution selection and genomic breeding values.

Authors:  Tom Granleese; Samuel A Clark; Andrew A Swan; Julius H J van der Werf
Journal:  Genet Sel Evol       Date:  2015-09-14       Impact factor: 4.297

2.  Longitudinal study of reproductive performance of female cattle produced by somatic cell nuclear transfer.

Authors:  Irina A Polejaeva; Diane M Broek; Shawn C Walker; Wenli Zhou; Mark Walton; Abby D Benninghoff; David C Faber
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

3.  Genome-wide assessment of genetic diversity and population structure insights into admixture and introgression in Chinese indigenous cattle.

Authors:  Wengang Zhang; Xue Gao; Yang Zhang; Yumin Zhao; Jiabao Zhang; Yutang Jia; Bo Zhu; Lingyang Xu; Lupei Zhang; Huijiang Gao; Junya Li; Yan Chen
Journal:  BMC Genet       Date:  2018-12-20       Impact factor: 2.797

  3 in total

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