Literature DB >> 19028854

Milestones in beef cattle genetic evaluation.

B L Golden1, D J Garrick, L L Benyshek.   

Abstract

National beef cattle genetic evaluation programs have evolved in the United States over the last 35 yr to create important tools that are part of sustainable breeding programs. The history of national beef cattle genetic evaluation programs has lessons to offer the next generation of researchers as new approaches in molecular genetics and decision support are developed. Through a series of complex and intricate pressures from technology and organizational challenges, national cattle evaluation programs continue to grow in importance and impact. Development of enabling technologies and the interface of the disciplines of computer science, numerical methods, statistics, and quantitative genetics have created an example of how academics, government, and industry can work together to create more effective solutions to technical problems. The advent of mixed model procedures was complemented by a series of breakthrough discoveries that made what was previously considered intractable a reality. The creation of modern genetic evaluation procedures has followed a path characterized by a steady and constant approach to identification and solution for each technical problem encountered. At its core, the driving force for the evolution has been the need to constantly improve the accuracy of the predictions of genetic merit for breeding stock, especially young animals. Sensible approaches, such as the principle of economically relevant traits, were developed that created the rules to be followed as the programs grew. However, the current systems are far from complete or perfect. Modern genetic evaluation programs have a long way to go, and a great deal of improvement in the accuracy of prediction is still possible. But the greatest challenge remains: the need to understand that genetic predictions are only parameters for decision support procedures and not an end in themselves.

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Year:  2008        PMID: 19028854     DOI: 10.2527/jas.2008-1430

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


  4 in total

1.  Genetic trends for live weight traits reflect breeding strategies in registered Charolais Farms in Mexico.

Authors:  G M Parra-Bracamonte; N Lopez-Villalobos; S T Morris; A M Sifuentes-Rincón; L A Lopez-Bustamante
Journal:  Trop Anim Health Prod       Date:  2016-09-30       Impact factor: 1.559

Review 2.  The nature, scope and impact of genomic prediction in beef cattle in the United States.

Authors:  Dorian J Garrick
Journal:  Genet Sel Evol       Date:  2011-05-15       Impact factor: 4.297

3.  Whole genome resequencing of black Angus and Holstein cattle for SNP and CNV discovery.

Authors:  Paul Stothard; Jung-Woo Choi; Urmila Basu; Jennifer M Sumner-Thomson; Yan Meng; Xiaoping Liao; Stephen S Moore
Journal:  BMC Genomics       Date:  2011-11-15       Impact factor: 3.969

4.  Recent development of allele frequencies and exclusion probabilities of microsatellites used for parentage control in the German Holstein Friesian cattle population.

Authors:  Bertram Brenig; Ekkehard Schütz
Journal:  BMC Genet       Date:  2016-01-08       Impact factor: 2.797

  4 in total

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