Literature DB >> 8572368

Prediction of informativeness for microsatellite markers among progeny of sires used for detection of economic trait loci in dairy cattle.

M Ron1, H Lewin, Y Da, M Band, A Yanai, Y Blank, E Feldmesser, J I Weller.   

Abstract

Individual loci affecting economic traits can be located using genetic linkage. Application of either daughter or granddaughter design requires determination of allele origin in the progeny. If only the sires and their progeny are genotyped, the paternal allele origin of progeny having the same genotype as the sire cannot be determined. The expected frequency of informative sons can be predicted for each sire and genetic marker from the allele frequencies in the population. The accuracy of a predictor of the frequency of informative progeny was tested on 103 grandsire x microsatellite combinations. Number of sons per grandsire varied from 24 to 129. Allele frequencies in the population were estimated by genotyping seven sires. The regression of the frequency of informative sons on the predicted frequency was 1.04 with a zero intercept model. Thus, considering the large number of genetic markers available for analysis, predicted informative frequency is a useful criterion for selection of genetic markers.

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Year:  1995        PMID: 8572368     DOI: 10.1111/j.1365-2052.1995.tb02697.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  2 in total

1.  Estimation of quantitative trait locus allele frequency via a modified granddaughter design.

Authors:  Joel Ira Weller; Hayim Weller; David Kliger; Micha Ron
Journal:  Genetics       Date:  2002-10       Impact factor: 4.562

2.  Detection of QTL affecting fatty acid composition in the pig.

Authors:  Alex Clop; Cristina Ovilo; Miguel Perez-Enciso; Albert Cercos; Anna Tomas; Ana Fernandez; Agustina Coll; Josep M Folch; Carmen Barragan; Isabel Diaz; Maria A Oliver; Luis Varona; Luis Silio; Armand Sanchez; Jose L Noguera
Journal:  Mamm Genome       Date:  2003-09       Impact factor: 2.957

  2 in total

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