Literature DB >> 33579007

Identification of Genomic Regions for Carcass Quality Traits within the American Simmental Association Carcass Merit Program.

Jordan K Hieber1, Rachel L Endecott2, Jane A Boles1, Jennifer M Thomson1.   

Abstract

USDA quality and yield grade are primary driving forces for carcass value in the United States. Carcass improvements can be achieved by making selection decisions based on the results of genetic evaluations in the form of expected progeny differences (EPD), real-time ultrasound imaging, and physical evaluation of candidate breeding animals. In an effort to advance their ability to accurately predict the breeding value of potential sires for carcass traits, the American Simmental Association launched the Carcass Merit Program as a means to collect progeny sire group carcass information. All records were extracted from the American Simmental Association database. Progeny data were organized by sire family and progeny performance phenotypes were constructed. Sire genotypes were filtered, and a multi-locus mixed linear model was used to perform an association analysis on the genotype data, while correcting for cryptic relatedness and pedigree structure. Three chromosomes were found to have genome-wide significance and this conservative approach identified putative QTL in those regions. Three hundred ninety-three novel regions were identified across all traits, as well as 290 novel positional candidate genes. Correlations between carcass characteristics and maternal traits were less unfavorable than those previously reported.

Entities:  

Keywords:  back fat; carcass weight; genetic correlation; genome-wide association; marbling

Year:  2021        PMID: 33579007      PMCID: PMC7916785          DOI: 10.3390/ani11020471

Source DB:  PubMed          Journal:  Animals (Basel)        ISSN: 2076-2615            Impact factor:   2.752


  29 in total

1.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

2.  Quantitative trait loci for organ weights and adipose fat composition in Jersey and Limousin back-cross cattle finished on pasture or feedlot.

Authors:  C A Morris; C D K Bottema; N G Cullen; S M Hickey; A K Esmailizadeh; B D Siebert; W S Pitchford
Journal:  Anim Genet       Date:  2010-12       Impact factor: 3.169

3.  Genetic correlations among sex-limited traits in beef cattle.

Authors:  M D MacNeil; L V Cundiff; C A Dinkel; R M Koch
Journal:  J Anim Sci       Date:  1984-05       Impact factor: 3.159

4.  Large-effect pleiotropic or closely linked QTL segregate within and across ten US cattle breeds.

Authors:  Mahdi Saatchi; Robert D Schnabel; Jeremy F Taylor; Dorian J Garrick
Journal:  BMC Genomics       Date:  2014-06-06       Impact factor: 3.969

5.  Detection of quantitative trait loci for growth and carcass composition in cattle.

Authors:  E Casas; S D Shackelford; J W Keele; M Koohmaraie; T P L Smith; R T Stone
Journal:  J Anim Sci       Date:  2003-12       Impact factor: 3.159

6.  National Beef Quality Audit-2011: In-plant survey of targeted carcass characteristics related to quality, quantity, value, and marketing of fed steers and heifers.

Authors:  M C Moore; G D Gray; D S Hale; C R Kerth; D B Griffin; J W Savell; C R Raines; K E Belk; D R Woerner; J D Tatum; J L Igo; D L VanOverbeke; G G Mafi; T E Lawrence; R J Delmore; L M Christensen; S D Shackelford; D A King; T L Wheeler; L R Meadows; M E O'Connor
Journal:  J Anim Sci       Date:  2012-09-05       Impact factor: 3.159

7.  Whole genome association study identifies regions of the bovine genome and biological pathways involved in carcass trait performance in Holstein-Friesian cattle.

Authors:  Anthony G Doran; Donagh P Berry; Christopher J Creevey
Journal:  BMC Genomics       Date:  2014-10-01       Impact factor: 3.969

8.  Multi-objective optimized genomic breeding strategies for sustainable food improvement.

Authors:  Deniz Akdemir; William Beavis; Roberto Fritsche-Neto; Asheesh K Singh; Julio Isidro-Sánchez
Journal:  Heredity (Edinb)       Date:  2018-09-27       Impact factor: 3.821

9.  Cross-breed comparisons identified a critical 591-kb region for bovine carcass weight QTL (CW-2) on chromosome 6 and the Ile-442-Met substitution in NCAPG as a positional candidate.

Authors:  Kouji Setoguchi; Masako Furuta; Takashi Hirano; Tomoko Nagao; Toshio Watanabe; Yoshikazu Sugimoto; Akiko Takasuga
Journal:  BMC Genet       Date:  2009-08-04       Impact factor: 2.797

10.  Estimation of genetic parameters of the productive and reproductive traits in Ethiopian Holstein using multi-trait models.

Authors:  Wondossen Ayalew; Mohammed Aliy; Enyew Negussie
Journal:  Asian-Australas J Anim Sci       Date:  2017-06-27       Impact factor: 2.509

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