Genetic relationships between carcass cut weights predicted from video image analysis and other performance traits in cattle

Pabiou, T.; Fikse, W.F.; Amer, P. R.; Cromie, A.R.; Näsholm, A.; Berry, D.P.

doi:10.1017/s1751731112000705

Cited by 27 publications

(29 citation statements)

References 7 publications

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“…Furthermore, animals of greater body size yield more carcass weight (Pabiou et al . ). Increased body size is likely to result in greater dry matter intake and could have implications for animal feed efficiency and therefore the cost of production.…”

Section: Discussionmentioning

confidence: 97%

“…Several studies have documented that selection for milk production alone will result in greater body size, especially stature (Veerkamp & Brotherstone 1997;Berry et al 2004). Furthermore, animals of greater body size yield more carcass weight (Pabiou et al 2012). Increased body size is likely to result in greater dry matter intake and could have implications for animal feed efficiency and therefore the cost of production.…”

Section: Phenotypic and Genetic Correlations And Genetic Trendsmentioning

confidence: 99%

See 1 more Smart Citation

Genetic parameters for linear type traits in the Rendena dual‐purpose breed

Mazza¹,

Guzzo²,

Sartori³

et al. 2013

J Animal Breeding Genetics

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The aim of the study was to estimate the genetic parameters for five composite traits and 20 individual type traits on 10,735 first-parity Rendena dual-purpose cows. Fixed effects included in the linear animal mixed models were herd-year-classifier, days in milk and age at first calving; the additive genetic effect of the animal was included as a random effect. Heritability estimates varied from 0.12 (feet) to 0.52 (stature). Genetic correlations between the individual body size traits were all ≥0.69; similar strong genetic correlations existed between traits describing similar morphological characteristics (e.g. mammary system, fleshiness). Many of the body size traits were negatively genetically correlated with animal fleshiness. Genetic trends showed that genetic merit for body size increased consistently over the last 10 years, while genetic merit for fleshiness declined. These results suggest that the characteristics of the dual-purpose Rendena cattle are becoming more like specialized milk-producing animals. Nonetheless, sufficient genetic variation exists to halt or reverse the deterioration in fleshiness.

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Section: Discussionmentioning

confidence: 97%

Section: Phenotypic and Genetic Correlations And Genetic Trendsmentioning

confidence: 99%

Genetic parameters for linear type traits in the Rendena dual‐purpose breed

Mazza¹,

Guzzo²,

Sartori³

et al. 2013

J Animal Breeding Genetics

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“…Genetic evaluations for 305-d milk, fat, and protein yield, as well as SCS (natural logarithm of SCC) were undertaken by the ICBF using a multibreed repeatability model; therefore, individual animal permanent environmental effects were also available for these traits. A multitrait, multibreed animal model was used in the genetic evaluations of reproductive performance and survival, as well as the genetic merit of calving performance and beef performance (Berry et al, 2006(Berry et al, , 2007(Berry et al, , 2013Pabiou et al, 2012) A multibreed animal repeatability model was used for management performance traits and a univariate multibreed animal repeatability model was used for genetic evaluations of health traits (Berry et al, 2007;ICBF, 2014; Table 2). Heterosis and recombination loss coefficients for each animal and their respective regression coefficients associated with each of the performance traits were also available for all traits included in the national genetic evaluation (Ahlborn-Breier and Hohenboken, 1991).…”

Section: Datamentioning

confidence: 99%

Development of an index to rank dairy females on expected lifetime profit

Kelleher

Amer²,

Shalloo

et al. 2015

Journal of Dairy Science

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The objective of this study was to develop an index to rank dairy females on expected profit for the remainder of their lifetime, taking cognizance of both additive and nonadditive genetic merit, permanent environmental effects, and current states of the animal including the most recent calving date and cow parity. The cow own worth (COW) index is intended to be used for culling the expected least profitable females in a herd, as well as inform purchase and pricing decisions for trading of females. The framework of the COW index consisted of the profit accruing from (1) the current lactation, (2) future lactations, and (3) net replacement cost differential. The COW index was generated from estimated performance values (sum of additive genetic merit, nonadditive genetic merit, and permanent environmental effects) of traits, their respective net margin values, and transition probability matrices for month of calving, survival, and somatic cell count; the transition matrices were to account for predicted change in a cow's state in the future. Transition matrices were generated from 3,156,109 lactation records from the Irish national database between the years 2010 and 2013. Phenotypic performance records for 162,981 cows in the year 2012 were used to validate the COW index. Genetic and permanent environmental effects (where applicable) were available for these cows from the 2011 national genetic evaluations and used to calculate the COW index and their national breeding index values (includes only additive genetic effects). Cows were stratified per quartile within herd, based on their COW index value and national breeding index value. The correlation between individual animal COW index value and national breeding index value was 0.65. Month of calving of the cow in her current lactation explained 18% of the variation in the COW index, with the parity of the cow explaining an additional 3 percentage units of the variance in the COW index. Females ranking higher on the COW index yielded more milk and milk solids and calved earlier in the calving season than their lower ranking contemporaries. The difference in phenotypic performance between the best and worst quartiles was larger for cows ranked on COW index than cows ranked on the national breeding index. The COW index is useful to rank females before culling or purchasing decisions on expected profit and is complementary to the national breeding index, which identifies the most suitable females for breeding replacements.

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“…The EUROP visual scoring seems to be effective in revealing genetic differences between animals, but a more precise method would likely reduce measurement error. Carcass composition can be recorded also using advanced video image analysis and weights of specific body parts and cutlets (Pabiou et al, 2009 and2012;Sarti et al, 2013).…”

Section: Trait Variationmentioning

confidence: 99%

Genetic parameters for carcass weight, conformation and fat in five beef cattle breeds

Kause

Mikkola

Strandén

et al. 2015

Animal

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Profitability of beef production can be increased by genetically improving carcass traits. To construct breeding value evaluations for carcass traits, breed-specific genetic parameters were estimated for carcass weight, carcass conformation and carcass fat in five beef cattle breeds in Finland (Hereford, Aberdeen Angus, Simmental, Charolais and Limousin). Conformation and fat were visually scored using the EUROP carcass classification. Each breed was separately analyzed using a multitrait animal model. A total of 6879-19 539 animals per breed had phenotypes. For the five breeds, heritabilities were moderate for carcass weight ( h 2 = 0.39 to 0.48, s.e. = 0.02 to 0.04) and slightly lower for conformation ( h 2 = 0.30 to 0.44, s.e. = 0.02 to 0.04) and carcass fat ( h 2 = 0.29 to 0.44, s.e. = 0.02 to 0.04). The genetic correlation between carcass weight and conformation was favorable in all breeds (r G = 0.37 to 0.53, s.e. = 0.04 to 0.05), heavy carcasses being genetically more conformed. The phenotypic correlation between carcass weight and carcass fat was moderately positive in all breeds (r P = 0.21 to 0.32), implying that increasing carcass weight was related to increasing fat levels. The respective genetic correlation was the strongest in Hereford (r G = 0.28, s.e. = 0.05) and Angus (r G = 0.15, s.e. = 0.05), the two small body-sized British breeds with the lowest conformation and the highest fat level. The correlation was weaker in the other breeds (r G = 0.08 to 0.14). For Hereford, Angus and Simmental, more conformed carcasses were phenotypically fatter (r P = 0.11 to 0.15), but the respective genetic correlations were close to zero (r G = − 0.05 to 0.04). In contrast, in the two large body-sized and muscular French breeds, the genetic correlation between conformation and fat was negative and the phenotypic correlation was close to zero or negative (Charolais: r G = − 0.18, s.e. = 0.06, r P = 0.02; Limousin: r G = − 0.56, s.e. = 0.04, r P = − 0.13). The results indicate genetic variation for the genetic improvement of the carcass traits, favorable correlations for the simultaneous improvement of carcass weight and conformation in all breeds, and breed differences in the correlations of carcass fat.

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Genetic relationships between carcass cut weights predicted from video image analysis and other performance traits in cattle

Cited by 27 publications

References 7 publications

Genetic parameters for linear type traits in the Rendena dual‐purpose breed

Genetic parameters for linear type traits in the Rendena dual‐purpose breed

Development of an index to rank dairy females on expected lifetime profit

Genetic parameters for carcass weight, conformation and fat in five beef cattle breeds

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