Literature DB >> 17531307

Genetics and genomics to improve fertility in high producing dairy cows.

R F Veerkamp1, B Beerda.   

Abstract

Improving dairy cow fertility by means of genetic selection is likely to become increasingly important, since it is now well established that declining fertility cannot only be arrested by improved management. Profit margins per kg milk produced are decreasing, therefore farmers need to reduce cost and increase herd size. This restricts the labor input per cow and the disposable cost of getting a cow pregnant, whilst at the same time hormone treatments have become less acceptable. This makes it unlikely that additional management interventions will maintain fertility at acceptable levels in the near future. Genetic improvement seems the obvious solution. Effective selection tools are available in most Western countries using traditional breeding value estimation procedures. Also, in addition to gene assisted selection using individual genes or QTL, high throughput Single Nucleotide Polymorphism (SNP) technology allows genetic improvement of fertility based on information from the whole genome (tens of thousands SNP per animal), i.e. genomic selection. Simulation studies have shown that genomic selection improves the accuracy of selecting juvenile animals compared with traditional breeding methods and compared with selection using information from a few genes or QTL only. Research in the areas genomics and proteomics promise to make genetic selection even more effective. The genomic and proteomics technologies combined with the bioinformatics tools that support the interpretation of gene functioning and protein expression facilitate an exciting starting point for the development of new management strategies and tools for the improvement of reproductive performance.

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Year:  2007        PMID: 17531307     DOI: 10.1016/j.theriogenology.2007.04.034

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


  16 in total

1.  qPCR and HRM-based diagnosis of SNPs on growth differentiation factor 9 (GDF9), a gene associated with sheep (Ovis aries) prolificacy.

Authors:  Raquel Anahí Escobar-Chaparro; Gabriel Guillén; Luis Uribe Espejo-Galicia; Víctor Manuel Meza-Villalvazo; Julián Mario Peña-Castro; José Abad-Zavaleta
Journal:  3 Biotech       Date:  2017-06-30       Impact factor: 2.406

2.  Introduction of the Modern Methods of Assessing the Breeding Value of Cows in the Selection of Dairy Cattle in the Republic of Kazakhstan.

Authors:  S Abugaliev; L Bupebayeva; R Kulbayev; A Baisabyrova
Journal:  Arch Razi Inst       Date:  2021-12-30

3.  Assessment of progesterone profiles and postpartum onset of luteal activity in spring calving Hereford beef suckler cattle.

Authors:  Adam D Martin; Marit L Lystad; Olav Reksen; Erik Ropstad; Andres Waldmann; Ola Nafstad; Knut Karlberg
Journal:  Acta Vet Scand       Date:  2010-06-15       Impact factor: 1.695

4.  Gene expression patterns in four brain areas associate with quantitative measure of estrous behavior in dairy cows.

Authors:  Arun Kommadath; Henri Woelders; Bonne Beerda; Herman A Mulder; Agnes A C de Wit; Roel F Veerkamp; Marinus F W te Pas; Mari A Smits
Journal:  BMC Genomics       Date:  2011-04-19       Impact factor: 3.969

5.  Veterinary dairy herd fertility service provision in seasonal and non-seasonal dairy industries - a comparison.

Authors:  Jf Mee
Journal:  Ir Vet J       Date:  2010-04-01       Impact factor: 2.146

6.  Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows.

Authors:  Hassan Aliloo; Jennie E Pryce; Oscar González-Recio; Benjamin G Cocks; Ben J Hayes
Journal:  BMC Genet       Date:  2015-07-22       Impact factor: 2.797

7.  A dual targeted β-defensin and exome sequencing approach to identify, validate and functionally characterise genes associated with bull fertility.

Authors:  Ronan Whiston; Emma K Finlay; Matthew S McCabe; Paul Cormican; Paul Flynn; Andrew Cromie; Peter J Hansen; Alan Lyons; Sean Fair; Patrick Lonergan; Cliona O' Farrelly; Kieran G Meade
Journal:  Sci Rep       Date:  2017-09-25       Impact factor: 4.379

8.  Variance components and correlations of female fertility traits in Chinese Holstein population.

Authors:  Aoxing Liu; Mogens Sandø Lund; Yachun Wang; Gang Guo; Ganghui Dong; Per Madsen; Guosheng Su
Journal:  J Anim Sci Biotechnol       Date:  2017-07-01

9.  Monoallelic maternal expression of STAT5A affects embryonic survival in cattle.

Authors:  Hasan Khatib; Christian Maltecca; Ricky L Monson; Valerie Schutzkus; Jack J Rutledge
Journal:  BMC Genet       Date:  2009-03-10       Impact factor: 2.797

10.  Effects of fertility on gene expression and function of the bovine endometrium.

Authors:  Megan A Minten; Todd R Bilby; Ralph G S Bruno; Carolyn C Allen; Crystal A Madsen; Zeping Wang; Jason E Sawyer; Ahmed Tibary; Holly L Neibergs; Thomas W Geary; Stefan Bauersachs; Thomas E Spencer
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

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