Autores
Bianca Ferreira Olivieri, Carolyn Aboujaoude, Mariana Piatto Berton, Fabieli Loise Braga Feitosa, Angélica Simone Cravo Pereira, Adrielle Matias Ferrinho, Lenise Freitas Mueller, Joyce de Jesus Mangini Furlan, Mônica Mazalli, Fernando Baldi
Genetic parameter for meat fatty acid profile of Nelore cattle finished in feedlot
Resumo
The aim of this study was
to estimate (co)variance components and genetic parameters (heritability and
genetic correlations) for meat fatty acid composition in Nellore cattle. The fatty acids analyzed were:
conjugated linoleic acid - CLA (C18:2 trans-10 cis-12), palmitic acid (C16:0),
stearic acid (C18:0), oleic acid (C18:1 cis-9), linoleic acid (C18:2 cis- 9-12)
and linolenic acid (C18:3). A total of 751 Nellore bulls, finished in feedlot for at
least 90 days, with average age at slaughter of 24 months were used. The
animals belong to eight farms located in the Southeast, Northeast and Midwest
regions, of São Paulo
State, which comprise
three specific genetic breeding programs. The fatty acid determination was
carried out at the Laboratory of Meat Science (LCC), Department of Animal Production
and Nutrition FMVZ/USP. Samples from the Longissimus
muscle were collected 48 hours after slaughter. The determination of meat
fatty acid profile was performed by the method of Folch et al. (1957) and
Kramer et al. (1997). Fatty acids were quantified by gas chromatography
(GC-2010 Plus - Shimadzu AOC 20i auto sampler) using SP-2560 capillary column (100 m × 0.25 mm in diameter with 0.02 mm thickness, Supelco,
Bellefonte, PA). To estimate the (co) variance
components and genetic parameters, the model included the additive genetic
effect as random effect, and the fixed effects of the contemporary group and
animal's age at slaughter as a covariable (linear effect). The model used for
the estimation of the included random
direct genetic effect, the fixed effect of the GC, and the animal's age at
slaughter as a covariate (linear effect).The (co)variance components and
genetic parameters were estimated by Bayesian inference with a linear multi-trait
animal model, using the GIBBS2F90 program.
The convergence of the data was verified using the R software package analyzed
with the Bayesian Output Analysis (BOA) of the R 2.9.0 software (The R
Development Core Team, 2009). Heritability estimates obtained for the fatty
acids analyzed were: 0.52; 0.26; 0.68; 0.57; 0.46 and 0.41 for CLA, palmitic
acid, stearic acid, oleic acid, linoleic acid and linolenic acid, respectively.
The genetic correlation estimates between the palmitic acid (C16: 0) with
stearic acid, oleic acid, linoleic acid, linolenic acid and CLA showed the
following values: 0.14; 0.39; -0.09; -0.33; 0.34. The genetic correlation
estimates between the stearic acid with oleic acid, linoleic acid, linolenic
acid and CLA were 0.24, -0.06, -0.21 and 0.22, respectively. For the oleic
acid, the genetic correlation estimates were -0.04, -0.02 and -0.02, with the
linoleic acid, linolenic acid and CLA, respectively. The genetic correlation
estimated between the linolenic acid and CLA was close to zero. Most of the
genetic correlations estimates between fatty acids were low to moderate. The
heritability estimates for fatty acids were moderate to high, indicating that
these traits would respond rapidly to selection. The genetic correlation
estimates between fatty acids with different degrees of saturation suggest that
indirect selection to improve the meat fatty acid composition is possible.
Parâmetros genéticos para o perfil de ácidos graxos da carne de bovinos da raça Nelore terminados em confinamento
Abstract
Íntegra (PDF)