Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1

Berry, D.P.; Pabiou, T.; Fanning, Rory; Evans, R.D.; Judge, Michelle M

doi:10.1093/jas/skz138

Cited by 15 publications

(20 citation statements)

References 28 publications

(37 reference statements)

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“…They estimated a heritability of 0.55, 0.41, 0.41, 0.47, 0.42, 0.37, and 0.28 for SLN, STLN, CHK, BSK, BRD, FK, and RB, respectively. Similarly, Judge et al [ 10 ] and Berry et al [ 9 ] reported heritability estimates of 0.30, 0.51, 0.39, and 0.68 for STLN, CHK, BSK, and SK in Irish cattle, respectively, which are inconsistent with the present findings. The estimated heritability of STLN was similar to obtained value of 0.40 by Moor et al [ 29 ] for the UK beef cattle, but higher than the estimate of 0.24 reported by Zhu et al [ 30 ] for the Chinese Simmental cattle.…”

Section: Resultscontrasting

confidence: 99%

“…It has been shown that high-value primal cuts have the potential to improve the economic value of animals at slaughter age [ 6 , 7 ]. In a previous study on Irish beef cattle, the possibility of genetically improving carcass value based on wholesale carcass cuts was reported [ 8 ].These traits have been proposed as indicators of carcass weight and have previously been reported to be moderately to strongly genetically correlated with carcass merit in beef cattle [ 6 , 9 , 10 ]. Moreover, the potential for improving the yield of individual primal cuts without increasing the overall carcass weight using breeding programs has been demonstrated [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Genetic Correlations of Primal Cut Yields with Carcass Traits in Hanwoo Beef Cattle

Naserkheil

Lee

Chung

et al. 2021

Animals

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This study was carried out to estimate the variance components, heritability, and genetic correlations between the carcass traits and primal cut yields in Hanwoo cattle. Carcass traits comprising 5622 records included back fat thickness (BFT), carcass weight (CW), eye muscle area (EMA), and marbling score (MS). The 10 primal cut yields from 3467 Hanwoo steers included the tenderloin (TLN), sirloin (SLN), striploin (STLN), chuck (CHK), brisket (BSK), top round (TRD), bottom round (BRD), rib (RB), shank (SK), and flank (FK). In addition, three composite traits were formed by combining primal cut yields as novel traits according to consumer preferences and market price: high-value cuts (HVC), medium-value cuts (MVC), and low-value cuts (LVC). Heritability estimates for the interest of traits were moderate to high, ranging from 0.21 ± 0.04 for CHK to 0.59 ± 0.05 for MS. Except genetic correlations between RB and other primal cut traits, favorable and moderate to high correlations were observed among the yields of primal cut that ranged from 0.38 ± 0.14 (CHK and FK) to 0.93 ± 0.01 (TRD and BRD). Moreover, the estimated genetic correlations of CW and EMA with primal cut yields and three composite traits were positive and moderate to strong, except for BFT, which was negative. These results indicate that genetic progress can be achieved for all traits, and selection to increase the yields of primal cuts can lead to considerable profitability in the Hanwoo beef industry.

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Section: Resultscontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of Genetic Correlations of Primal Cut Yields with Carcass Traits in Hanwoo Beef Cattle

Naserkheil

Lee

Chung

et al. 2021

Animals

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“…Linear type traits have been used in both beef and dairy cattle since the early 20th century to characterize the skeletal characteristics of an animal . These type traits have previously been identified as being moderately to strongly genetically correlated with a range of performance traits in cattle including feed intake (Veerkamp and Brotherstone, 1997;Crowley et al, 2011), reproductive traits (Berry et al, 2004;Wall et al, 2005;Carthy et al, 2016), carcass merit (Mukai et al, 1995;Berry et al, 2019), animal value (Mc Hugh et al, 2010), and health (Ring et al, 2018). As type trait measurements are typically taken when an animal is young (Doyle et al, 2018), they may be useful as early predictors of the correlated traits which are often measured later in life or after the animal is slaughtered.…”

Section: Introductionmentioning

confidence: 99%

“…As type trait measurements are typically taken when an animal is young (Doyle et al, 2018), they may be useful as early predictors of the correlated traits which are often measured later in life or after the animal is slaughtered. While type traits are also moderately to strongly correlated with live-weight (Mc Hugh et al, 2010;Berry et al, 2019) and carcass weight (Conroy et al, 2010), none of these correlations are unity, implying that two animals with the same weight may be morphologically very different; for example, a tall animal with a short back may have the same (carcass) weight as a short animal with a long back. Therefore, including linear type traits in future genetic and genomic evaluations as part of a multi-trait evaluation including also the goal trait of interest may provide additional information over and above what could be gleaned from the goal trait alone.…”

Section: Introductionmentioning

confidence: 99%

Genomic Regions Associated With Skeletal Type Traits in Beef and Dairy Cattle Are Common to Regions Associated With Carcass Traits, Feed Intake and Calving Difficulty

et al. 2020

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Linear type traits describing the skeletal characteristics of an animal are moderately to strongly genetically correlated with a range of other performance traits in cattle including feed intake, reproduction traits and carcass merit; thus, type traits could also provide useful insights into the morphological differences among animals underpinning phenotypic differences in these complex traits. The objective of the present study was to identify genomic regions associated with five subjectively scored skeletal linear traits, to determine if these associated regions are common in multiple beef and dairy breeds, and also to determine if these regions overlap with those proposed elsewhere to be associated with correlated performance traits. Analyses were carried out using linear mixed models on imputed whole genome sequence data separately in 1,444 Angus, 1,129 Hereford, 6,433 Charolais, 8,745 Limousin, 1,698 Simmental, and 4,494 Holstein-Friesian cattle, all scored for the linear type traits. There was, on average, 18 months difference in age at assessment of the beef versus the dairy animals. While the majority of the identified quantitative trait loci (QTL), and thus genes, were both trait-specific and breed-specific, a large-effect pleiotropic QTL on BTA6 containing the NCAPG and LCORL genes was associated with all skeletal traits in the Limousin population and with wither height in the Angus. Other than that, little overlap existed in detected QTLs for the skeletal type traits in the other breeds. Only two QTLs overlapped the beef and dairy breeds; both QTLs were located on BTA5 and were associated with height in both the Angus and the Holstein-Friesian, despite the difference in age at assessment. Several detected QTLs in the present study overlapped with QTLs documented elsewhere that are associated with carcass traits, feed intake, and calving difficulty. While most breeding programs select for the macro-traits like carcass weight, carcass conformation, and feed intake, the higher degree of granularity with selection on the individual linear type traits in a multi-trait index underpinning the macro-level goal traits, presents an opportunity to help resolve genetic antagonisms among morphological traits in the pursuit of the animal with optimum performance metrics.

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“…In recent years, interest in exploring genomic regions that control economically important traits in beef cattle has increased due to advances in high-throughput genotyping techniques and the constant availability of molecular data, statistical methods, and ease of application of GWAS. Primal cut traits have recently been proposed as potential indicator of carcass weight and overall carcass merit (Berry et al, 2019) given that the genetic correlations between these traits and carcass weight are generally moderate to strong (Choi et al, 2015;Judge et al, 2019). Nevertheless, selection for the weight of primal cuts requires knowledge of the genetic basis for these traits, which may be useful in future genomic evaluations targeting the improvement of weight in the more valuable primal cuts, and consequently increasing the profitability of the meat production system.…”

Section: Discussionmentioning

confidence: 99%

Genome-wide Association Study for Carcass Primal Cut Yields Using Single-step Bayesian Approach in Hanwoo Cattle

et al. 2021

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The importance of meat and carcass quality is growing in beef cattle production to meet both producer and consumer demands. Primal cut yields, which reflect the body compositions of carcass, could determine the carcass grade and, consequently, command premium prices. Despite its importance, there have been few genome-wide association studies on these traits. This study aimed to identify genomic regions and putative candidate genes related to 10 primal cut traits, including tenderloin, sirloin, striploin, chuck, brisket, top round, bottom round, shank, flank, and rib in Hanwoo cattle using a single-step Bayesian regression (ssBR) approach. After genomic data quality control, 43,987 SNPs from 3,745 genotyped animals were available, of which 3,467 had phenotypic records for the analyzed traits. A total of 16 significant genomic regions (1-Mb window) were identified, of which five large-effect quantitative trait loci (QTLs) located on chromosomes 6 at 38–39 Mb, 11 at 21–22 Mb, 14 at 6–7 Mb and 26–27 Mb, and 19 at 26–27 Mb were associated with more than one trait, while the remaining 11 QTLs were trait-specific. These significant regions were harbored by 154 genes, among which TOX, FAM184B, SPP1, IBSP, PKD2, SDCBP, PIGY, LCORL, NCAPG, and ABCG2 were noteworthy. Enrichment analysis revealed biological processes and functional terms involved in growth and lipid metabolism, such as growth (GO:0040007), muscle structure development (GO:0061061), skeletal system development (GO:0001501), animal organ development (GO:0048513), lipid metabolic process (GO:0006629), response to lipid (GO:0033993), metabolic pathways (bta01100), focal adhesion (bta04510), ECM–receptor interaction (bta04512), fat digestion and absorption (bta04975), and Rap1 signaling pathway (bta04015) being the most significant for the carcass primal cut traits. Thus, identification of quantitative trait loci regions and plausible candidate genes will aid in a better understanding of the genetic and biological mechanisms regulating carcass primal cut yields.

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Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1

Abstract: the topside and silverside cuts with all the muscular traits was 0.50 and 0.42, respectively, with none of the correlations being negative.

Cited by 15 publications

References 28 publications

Estimation of Genetic Correlations of Primal Cut Yields with Carcass Traits in Hanwoo Beef Cattle

Estimation of Genetic Correlations of Primal Cut Yields with Carcass Traits in Hanwoo Beef Cattle

Genomic Regions Associated With Skeletal Type Traits in Beef and Dairy Cattle Are Common to Regions Associated With Carcass Traits, Feed Intake and Calving Difficulty

Genome-wide Association Study for Carcass Primal Cut Yields Using Single-step Bayesian Approach in Hanwoo Cattle

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