Genetic parameters for growth, muscularity, feed efficiency and carcass traits of young beef bulls

Bouquet, Alban; Fouilloux, Marie-Noëlle; Renand, Gilles; Phocas, Florence

doi:10.1016/j.livsci.2009.12.010

Cited by 47 publications

(56 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The posterior mean estimates of the heritabilities for the independent traits or those registered early in life (W120 and W210) ranged between 0.33 and 0.43. They are in line with previous estimates from the literature obtained in the same breed (Varona et al, 1997;Altarriba et al, 2009;Varona et al, 2012), or other beef cattle populations (Ríos-Utrera and Van Vleck, 2004;Bouquet et al, 2010). The estimates of heritabilities in the dependent traits (W210 and CW365) ranged between 0.28 (W210) to 0.38 (CW365), although they cannot be directly compared with previous estimates, because they are conditioned to the independent trait.…”

Section: Resultssupporting

confidence: 89%

“…This fact implies that the weight of the information on the early registered trait in the prediction of breeding values is smaller for higher phenotypic values. Further, the unconditional heritability estimates for the were more stable along the parametric space (Figures 4 to 6) and also within the range of previous estimates from the literature (Ríos-Utrera and Van Vleck, 2004;Altarriba et al, 2009;Bouquet et al, 2010). In animal breeding, the joint analysis of several traits is usually performed through multi-trait mixed model analyses (Henderson, 1984).…”

Section: Resultssupporting

confidence: 76%

“…The economic efficiency of beef cattle production is strongly linked with carcass weight at slaughter (Golden et al, 1998;MacNeil 2003;Bouquet et al, 2010). In many breeding programs, carcass weight is included in selection goals as one of the most relevant traits.…”

Section: Introductionmentioning

confidence: 99%

“…However, phenotypic records for this trait are not available for the potential candidates for selection. Weight records at different growth stages are therefore widely used as selection criteria on the basis that there is a strong and positive genetic correlation between early weights and weight at slaughter (Meyer et al, 1993;Altarriba et al, 2009;Bouquet et al, 2010). The breeding scheme established by the Pirenaica breeders association (Confederación Nacional de Asociaciones de Vacuno Pirenaica (CONASPI)) uses weight records between 110 and 310 days of age as predictors for future weight at slaughter (Altarriba et al, 1996;Varona et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Non-linear recursive models for growth traits in the Pirenaica beef cattle breed

González‐Rodríguez

Mouresan

Altarriba

et al. 2014

Animal

View full text Add to dashboard Cite

One of the main goals of selection schemes in beef cattle populations is to increase carcass weight at slaughter. Live weights at different growth stages are frequently used as selection criteria under the hypothesis that they usually have a high and positive genetic correlation with weight at slaughter. However, the presence of compensatory growth may bias the prediction ability of early weights for selection purposes. Recursive models may represent an interesting alternative for understanding the genetic and phenotypic relationship between weight traits during growth. For the purposes of this study, the analysis was performed for three different set of data from the Pirenaica beef cattle breed: weight at 120 days (W120) and at 210 days (W210); W120 and carcass weight at slaughter at 365 days (CW365); W210 and CW365. The number of records for each analysis was 8592, 4648 and 3234, respectively. A pedigree composed of 56323 individuals was also included. The statistical model comprised sex, year-season of birth, herd and slaughterhouse, plus a non-linear recursive dependency between traits. The dependency was modeled as a polynomial up to the 4th degree and models were compared using a Logarithm of Conditional Predictive Ordinates. The results of model comparison suggest that the best models were the 3rd degree polynomial for W120-W210 and W120-CW365 and the 2nd degree polynomial for W210-CW365. The posterior mean estimates for heritabilities ranged between 0.29 and 0.44 and the posterior mean estimates of the genetic correlations were null or very low, indicating that the relationship between traits is fully captured by the recursive dependency. The results imply that the predictive ability of the performance of future growth is low if it is only based on records of early weights. The usefulness of slaughterhouse records in beef cattle breeding evaluation is confirmed.

show abstract

Section: Resultssupporting

confidence: 89%

Section: Resultssupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Non-linear recursive models for growth traits in the Pirenaica beef cattle breed

González‐Rodríguez

Mouresan

Altarriba

et al. 2014

Animal

View full text Add to dashboard Cite

show abstract

“…The different degrees of correlations between our results and the previous reports may be due to differences in genetic backgrounds of the cattle and environmental effects. In the European breed, however, Bouquet et al (2010) estimated genetic correlations of carcass fatness score (CF) with FCR of 20.41 6 0.17 and 20.03 6 0.18, and with RFI of 0.00 6 0.20 and 0.07 6 0.14 in Blonde d'Aquitaine and Limousin breeds, respectively. Likewise, in the same Japanese Black breed, Hoque et al (2009) reported genetic correlations of BMS with FCR TDN and RFI of 20.62 6 0.09 and 20.59 6 0.08, respectively.…”

Section: Heritabilitymentioning

confidence: 99%

Genetic parameters for fatty acid composition and feed efficiency traits in Japanese Black cattle

Inoue

Kobayashi²,

Shoji³

et al. 2011

Animal

View full text Add to dashboard Cite

We estimated the genetic parameters related to feed intake (FI), feed efficiency traits (including feed conversion ratio (FCR) and residual feed intake (RFI) of digestible crude protein (DCP) and total digestible nutrients (TDN)), beef marbling score (BMS), melting point of fat (MP) and fatty acid composition. Fat and meat (Musculus trapezius) samples were taken from the carcasses of 863 Japanese Black steers derived from 65 sires, for determination of the MP and fatty acid composition of the total lipid in intramuscular adipose tissue. Genetic parameters were estimated using uni-and bivariate animal models. In addition, pedigree information for 4841 animals was used. Heritability estimates for BMS, MP, individual fatty acids, monounsaturated fatty acids (MUFA), the ratio of saturated fatty acids to MUFA (MUS) and the ratio of elongation (ELONG) were generally high. The FI values of TDN and DCP were also high, but FCRs and RFIs of those were low (0.09 to 0.22). Genetic correlation of BMS with MP was 20.34 (favorable) and with C18:1, MUFA, MUS and ELONG values were 0.40, 0.28, 0.29 and 0.37, respectively (favorable). Genetic correlations of MP with C18:1, MUFA, MUS and ELONG were negative (also favorable) and high (20.85, 20.98, 21.00 (20.996) and 20.66, respectively). The correlation estimates for feed efficiency traits of DCP were quite similar to those of TDN. Genetic correlations of BMS with FCRs and RFIs of TDN and DCP were all positive (unfavorable; 0.21 to 0.51), and in particular, the correlations with RFIs of those were high. The correlations of C18:1, MUFA, MUS and ELONG with RFIs of TDN and DCP were positive (unfavorable) but low (0.06 to 0.17), whereas the corresponding correlations with FCRs of those were all negative (favorable; 20.38 to 20.10). These results suggest that the quantity and quality of beef fat can be simultaneously improved and that the quality of beef fat (fatty acid composition) can be improved directly or indirectly with MP. Furthermore, selecting MP or fatty acid traits does not significantly affect feed efficiency.Keywords: genetic parameter, beef cattle, fatty acid composition, feed efficiency ImplicationsFat quantity and fat quality traits have high heritability estimates and show favorable genetic relationships with each other. Some genetic relationships between fat quality traits and feed efficiency traits are unfavorable, but all of these are weak relationships. These results indicate that it may be convenient to improve fat quality traits genetically and to simultaneously improve the quantity and quality of beef fat. Furthermore, selecting fat quality traits does not significantly affect feed efficiency. We can expect to improve the quality of beef fat without reducing feed utilization efficiency.

show abstract

Genetic Improvement of Feed Efficiency

Arthur

Herd

2012

Feed Efficiency in the Beef Industry

View full text Add to dashboard Cite

Genetic parameters for growth, muscularity, feed efficiency and carcass traits of young beef bulls

Cited by 47 publications

References 38 publications

Non-linear recursive models for growth traits in the Pirenaica beef cattle breed

Non-linear recursive models for growth traits in the Pirenaica beef cattle breed

Genetic parameters for fatty acid composition and feed efficiency traits in Japanese Black cattle

Genetic Improvement of Feed Efficiency

Contact Info

Product

Resources

About