Literature DB >> 9781489

The impact of genetic markers on selection.

G P Davis1, S K DeNise.   

Abstract

Genetic marker technologies, such as marker-assisted selection, parentage identification, and gene introgression can be applied to livestock selection programs. Highly saturated genetic maps are now available for cattle, swine, and sheep to provide the genetic framework for developing MAS programs. These programs rely on three phases for commercialization of the technology: the detection phase, in which quantitative trait loci are located and their effects on the phenotype measured; the evaluation phase, in which the markers are evaluated in commercial populations; and the implementation phase, in which markers are combined with phenotypic and pedigree information in genetic evaluation for predicting the genetic merit of individuals within the population. Predicting the economic impact of genetic technologies is a complex process that requires quantitative prediction and economic analysis. Evaluating the impact of these benefits across an industry can be achieved through a process in which gains from implementation of a genetic technology are assessed at the individual, enterprise, and industry levels. A pattern of annual benefits and costs can be predicted using gene flows that can be evaluated by conventional economic analysis.

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Year:  1998        PMID: 9781489     DOI: 10.2527/1998.7692331x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  6 in total

1.  Gene-based single nucleotide polymorphism discovery in bovine muscle using next-generation transcriptomic sequencing.

Authors:  Anis Djari; Diane Esquerré; Bernard Weiss; Frédéric Martins; Cédric Meersseman; Mekki Boussaha; Christophe Klopp; Dominique Rocha
Journal:  BMC Genomics       Date:  2013-05-07       Impact factor: 3.969

2.  SNP Data Quality Control in a National Beef and Dairy Cattle System and Highly Accurate SNP Based Parentage Verification and Identification.

Authors:  Matthew C McClure; John McCarthy; Paul Flynn; Jennifer C McClure; Emma Dair; D K O'Connell; John F Kearney
Journal:  Front Genet       Date:  2018-03-15       Impact factor: 4.599

3.  Forensic use of the genomic relationship matrix to validate and discover livestock pedigrees.

Authors:  Kirsty Lee Moore; Conrad Vilela; Karolina Kaseja; Raphael Mrode; Mike Coffey
Journal:  J Anim Sci       Date:  2019-01-01       Impact factor: 3.159

4.  Imputation of microsatellite alleles from dense SNP genotypes for parental verification.

Authors:  Matthew McClure; Tad Sonstegard; George Wiggans; Curtis P Van Tassell
Journal:  Front Genet       Date:  2012-08-14       Impact factor: 4.599

5.  Identification of Reproduction-Related Gene Polymorphisms Using Whole Transcriptome Sequencing in the Large White Pig Population.

Authors:  Daniel Fischer; Asta Laiho; Attila Gyenesei; Anu Sironen
Journal:  G3 (Bethesda)       Date:  2015-04-27       Impact factor: 3.154

6.  Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle.

Authors:  Mohammed K Abo-Ismail; Gordon Vander Voort; James J Squires; Kendall C Swanson; Ira B Mandell; Xiaoping Liao; Paul Stothard; Stephen Moore; Graham Plastow; Stephen P Miller
Journal:  BMC Genet       Date:  2014-01-30       Impact factor: 2.797

  6 in total

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