Literature DB >> 21739133

Application of DNA markers in parentage verification of Boran cattle in Kenya.

David Kios1, Estè van Marle-Köster, Carina Visser.   

Abstract

Boran cattle provide livelihood to thousands of households in the arid and semiarid lands of Kenya. Due to their superior adaptive and productive traits in comparison to other breeds of cattle, they have also become a popular choice for breeders in Eastern and Southern Africa. Continued genetic improvement of the breed is important, and therefore accurate performance and pedigree records are required. One hundred seventy-eight pedigree records and blood samples of four Boran stud herds were evaluated for accuracy of parentage allocation using 11 microsatellite markers recommended by ISAG for parentage verification. The panel of the 11 microsatellite markers was found to be highly polymorphic (PIC of 0.6901) with a combined probability of exclusion of 0.9997. The dam misidentification was low ranging between 0% and 5% for the herds tested. The estimated rate of mispaternity however ranged between 4.3% and 80% among the four stud herds, and more than 50% of the offspring of some herds were misidentified. The high rate of mispaternity will have a negative impact on the response to selection. The use of DNA markers for parentage assignment will improve the accuracy of the pedigree records of Boran stud cattle in Kenya and contribute to more accurate selection of superior animals.

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Year:  2011        PMID: 21739133     DOI: 10.1007/s11250-011-9921-2

Source DB:  PubMed          Journal:  Trop Anim Health Prod        ISSN: 0049-4747            Impact factor:   1.559


  21 in total

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Authors:  B G Cassell; V Adamec; R E Pearson
Journal:  J Dairy Sci       Date:  2003-09       Impact factor: 4.034

2.  Impact of candidate sire number and sire relatedness on DNA polymorphism-based measures of exclusion probability and probability of unambiguous parentage.

Authors:  G B Sherman; S D Kachman; L L Hungerford; G P Rupp; C P Fox; M D Brown; B M Feuz; T R Holm
Journal:  Anim Genet       Date:  2004-06       Impact factor: 3.169

3.  Bull selection and use in northern Australia. 4. Calf output and predictors of fertility of bulls in multiple-sire herds.

Authors:  R G Holroyd; V J Doogan; J De Faveri; G Fordyce; M R McGowan; J D Bertram; D M Vankan; L A Fitzpatrick; G A Jayawardhana; R G Miller
Journal:  Anim Reprod Sci       Date:  2002-05-15       Impact factor: 2.145

4.  DNA-based paternity analysis and genetic evaluation in a large, commercial cattle ranch setting.

Authors:  A L Van Eenennaam; R L Weaber; D J Drake; M C T Penedo; R L Quaas; D J Garrick; E J Pollak
Journal:  J Anim Sci       Date:  2007-09-18       Impact factor: 3.159

5.  Calculation and use of inbreeding coefficients for genetic evaluation of United States dairy cattle.

Authors:  G R Wiggans; P M VanRaden; J Zuurbier
Journal:  J Dairy Sci       Date:  1995-07       Impact factor: 4.034

6.  Effects of sire misidentification on estimates of genetic parameters for birth and weaning weights in Hereford cattle.

Authors:  S L Senneke; M D MacNeil; L D Van Vleck
Journal:  J Anim Sci       Date:  2004-08       Impact factor: 3.159

7.  Genetic and economic evaluation of a basic breeding programme for Kenya Boran cattle.

Authors:  T O Rewe; P Herold; H-P Piepho; A K Kahi; A Valle Zárate
Journal:  Trop Anim Health Prod       Date:  2009-08-27       Impact factor: 1.559

8.  Growth and pubertal development in Brahman-, Boran-, Tuli-, Belgian Blue-, Hereford- and Angus-sired F1 bulls.

Authors:  D D Lunstra; L V Cundiff
Journal:  J Anim Sci       Date:  2003-06       Impact factor: 3.159

9.  Statistical confidence for likelihood-based paternity inference in natural populations.

Authors:  T C Marshall; J Slate; L E Kruuk; J M Pemberton
Journal:  Mol Ecol       Date:  1998-05       Impact factor: 6.185

10.  Implementation of a parentage control system in Portuguese beef-cattle with a panel of microsatellite markers.

Authors:  Inês Carolino; Conceição O Sousa; Sónia Ferreira; Nuno Carolino; Fátima S Silva; Luís T Gama
Journal:  Genet Mol Biol       Date:  2009-03-06       Impact factor: 1.771

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  1 in total

Review 1.  Genetic Improvement in South African Livestock: Can Genomics Bridge the Gap Between the Developed and Developing Sectors?

Authors:  Esté van Marle-Köster; Carina Visser
Journal:  Front Genet       Date:  2018-08-23       Impact factor: 4.599

  1 in total

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